Bass Point Quarry Expansion Air Quality Impact Assessment by wpr1947

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									              REPORT 10-3394-R1
                   Revision 0




Bass Point Quarry Expansion
Air Quality Impact Assessment




                PREPARED FOR
    Hanson Construction Materials Pty Ltd
            Locked Bag 5260
         PARRAMATTA NSW 2124




                 21 MAY 2010




              HEGGIES PTY LTD
                ABN 29 001 584 612
Bass Point Quarry Expansion
Air Quality Impact Assessment




PREPARED BY:
Heggies Pty Ltd
2 Lincoln Street Lane Cove NSW 2066 Australia
(PO Box 176 Lane Cove NSW 1595 Australia)
Telephone 61 2 9427 8100 Facsimile 61 2 9427 8200
Email sydney@heggies.com Web www.heggies.com




DISCLAIMER
Reports produced by Heggies Pty Ltd are prepared for a particular Client’s objective and are based on a specific scope, conditions and limitations, as agreed
between Heggies and the Client. Information and/or report(s) prepared by Heggies may not be suitable for uses other than the original intended objective. No
parties other than the Client should use any information and/or report(s) without first conferring with Heggies.
The information and/or report(s) prepared by Heggies should not be reproduced, presented or reviewed except in full. Before passing on to a third party any
information and/or report(s) prepared by Heggies, the Client is to fully inform the third party of the objective and scope and any limitations and conditions, including
any other relevant information which applies to the material prepared by Heggies. It is the responsibility of any third party to confirm whether information and/or
report(s) prepared for others by Heggies are suitable for their specific objectives.




                                                                                                         Heggies Pty Ltd operates under a Quality System which
                                                                                                         has been certified by SAI Global Pty Limited to comply
                                                                                                         with all the requirements of ISO 9001:2008 "Quality
                                                                                                         management systems - Requirements" (Licence
                                                                                                         No 3236).
Heggies Pty Ltd is a Member Firm of the                                                                  This document has been prepared in accordance with the
Association of Australian Acoustical Consultants.                                                        requirements of that System.



DOCUMENT CONTROL

 Reference                  Status                    Date                             Prepared                    Checked                    Authorised
 10-3394-R1                 Revision 0                21 May 2010                      Scott Fishwick              Martin Doyle




Heggies Pty Ltd                        Bass Point Quarry Expansion
Report Number 10-3394-R1               Air Quality Impact Assessment
Revision 0                             Hanson Construction Materials Pty Ltd
                                       (10-3394R1.doc) 21 May 2010                                                                                              Page 2
EXECUTIVE SUMMARY



Heggies Pty Ltd was contracted by Hanson Construction Materials Pty Ltd to conduct an air quality and
greenhouse gas assessment of the proposed expansion to the Bass Point Quarry. Modelling of potential
fugitive particulate matter emissions was undertaken using the USEPA regulatory model AERMOD.

Four scenarios were modelled to represent potential Project emissions:
     Scenario 1 – Current site configuration at production rate of 1.5 Mtpa. (Viewed as Baseline)
     Scenario 1a - Current site configuration at production rate of 1.5 Mtpa PLUS construction of western
     boundary amenity bund.
     Scenario 2 – Upgraded site operations at production rate of 2.4 Mtpa; and
     Scenario 3 - Upgraded site operations at production rate of 4 Mtpa.

The findings of the modelling exercise indicate that current and future operations at the Bass Point Quarry
would generally comply with the relevant criteria and that the likelihood of adverse cumulative impact was
low. In summary:
     Dust deposition levels are predicted to be below the air quality criterion at all surrounding sensitive
     receptor locations for all modelled scenarios, with the exception of the closest receptor (proposed
     playing fields) during Scenario 1a.
     Cumulative annual average TSP concentrations are predicted to satisfy the air quality criterion at all
     surrounding sensitive receptor locations for all modelled scenarios.
     Cumulative annual average PM10 concentrations are predicted to satisfy the air quality criterion at all
     surrounding sensitive receptor locations for all modelled scenarios.
     A small number of exceedances of the impact assessment criterion for 24-hour average PM10
     concentrations were predicted when cumulative impacts were addressed. However, review of the
     likely frequency exceedances occurring through comparison of the likely concurrence of elevated
     ambient levels and incremental increase attributable to the Quarry were very low. Additionally,
     exceedances were experienced only at near field, non-residential sensitive receptor locations.
     Consequently, the potential for adverse impact associated with 24-hour average PM10 is considered
     very low.

The modelling methodology contains a number of assumptions which mean that conservative ‘worst
case’ scenarios were modelled. Therefore, all particulate predictions should be viewed as conservative,
with levels expected to be lower than those modelled during standard operations.

The assessment also considers emissions of greenhouse gas emissions from the Bass Point Quarry and
includes estimates of direct and indirect GHG emissions.

Calculated direct (Scope 1) emissions from the Bass Point Quarry associated with diesel combustion
would generate between approximately 3.7 kt CO2-e/annum and 9.8 kt CO2-e/annum. Indirect (Scope 2
and 3) emissions would be through purchased electricity consumption and third-party distribution of
product materials from site. Annual indirect emissions from the Bass Point Quarry were calculated to
range between approximately 4.5 kt CO2-e/annum and 12.0 kt CO2-e/annum.

A comparison of the calculated direct (Scope 1) emissions against Australia’s 2007 net emissions of 597
Mt CO2-e demonstrates the Bass Point Quarry would represent in increase of between approximately
0.001 % and 0.004% of the total Australian emissions. A comparison of the calculated Scope 1
emissions against NSW emissions in 2007 (162.7 Mt CO2-e) demonstrates that the Bass Point Quarry
would represent in increase of between approximately 0.002 % and 0.006% of NSW emissions.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                                 Page 3
TABLE OF CONTENTS



1     INTRODUCTION                                                         7

2     PROJECT SETTING                                                      8
      2.1    Sensitive Receptors                                           9
      2.2    Local Topography                                            11

3     AIR QUALITY CRITERIA                                               14
      3.1    Particulate Matter                                          14
      3.2    Nuisance Impacts of Fugitive Emissions                      15
      3.3    Project Air Quality Goals                                   15

4     EXISTING AIR QUALITY ENVIRONMENT                                   16
      4.1    Background Dust Deposition Environment                      16
      4.2    Ambient Particulate Matter Environment                      17
             4.2.1 PM10                                                  17
             4.2.2 PM2.5                                                 19
             4.2.3 TSP                                                   22
      4.3    Assessing Cumulative Impacts                                22

5     DISPERSION METEOROLOGY                                             24
      5.1    Meteorological Data Availability                            24
      5.2    Meteorological Modelling                                    26
      5.3    Meteorological Conditions                                   27
             5.3.1 Wind Regime                                           27
             5.3.2 Atmospheric Stability and Mixing Depth                28

6     ATMOSPHERIC DISPERSION MODELLING                                   30
      6.1    Model Selection and Configuration                           30
      6.2    Modelling Scenarios                                         30
      6.3    Emission Estimation                                         33
      6.4    Wind Erosion Estimation                                     36
             6.4.1 Stockpiles                                            36
             6.4.2 Exposed Surfaces                                      36
      6.5    Open Pit Emissions                                          37
      6.6    Western Bund Construction Operations                        38
      6.7    Concrete Plant, Wash Plant and Mobile Screen Operations     38
      6.8    Product Distribution                                        39
      6.9    Emission Control Factors                                    40

7     DISPERSION MODELLING RESULTS                                       41
      7.1    PM10 (24-hour and Annual Average)                           41
             7.1.1 24-hour Average PM10                                  41


Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
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TABLE OF CONTENTS


             7.1.2    Annual Average PM10                                                          45
      7.2    PM2.5 (24-hour and Annual Average)                                                    46
             7.2.1 24-hour Average PM2.5                                                           46
             7.2.2 Annual Average PM2.5                                                            47
      7.3    Annual Average TSP                                                                    48
      7.4    Monthly Average Dust Deposition                                                       49

8     EMISSION MITIGATION MEASURES                                                                 50

9     GREENHOUSE GAS ASSESSMENT                                                                    51
      9.1    Direct and Indirect Emissions (Emission Scopes)                                       51
      9.2    Greenhouse Gas Calculation Methodology                                                51
             9.2.1 Scope 1: Direct Emissions                                                       52
             9.2.2 Scope 2: Indirect Emissions                                                     53
             9.2.3 Scope 3: Other Indirect Emissions                                               53
      9.3    Greenhouse Gas Emissions Summary                                                      55

10    CONCLUSIONS                                                                                  56

11    GLOSSARY AND TERMS                                                                           57

12    REFERENCES                                                                                   59


Table 1      Surrounding Sensitive Receptor Locations                                              10
Table 2      DECCW Goals for Allowable Dust Deposition                                             15
Table 3      Project Air Quality Goals                                                             15
Table 4      Dust Deposition Monitoring - Shell Cove Waste Containment Cell Project                16
Table 5      Annual Dust Deposition Data - EPL Licence                                             17
Table 6      Ambient Air Quality Environment for Assessment Purposes                               23
Table 7      Meteorological Monitoring Station Details                                             24
Table 8      Meteorological parameters used for this study                                         26
Table 9      Description of atmospheric stability classes                                          28
Table 10     Open Pit Depth Assumptions by Scenario                                                37
Table 11     Emission Control Factors                                                              40
Table 12     Maximum Predicted 24-hour Average Incremental PM10 Concentrations                     41
Table 13     Maximum Contemporaneous 24-hour Average PM10 Concentrations                           42
Table 14     Percentage of Predicted 24-hour Average Incremental PM10 Concentrations less than
             10 µg/m3                                                                              45
Table 15     Predicted Annual Average Incremental PM10 Concentrations                              45
Table 16     Maximum Predicted 24-hour Average Incremental PM2.5 Concentrations                    46
Table 17     Maximum Contemporaneous 24-hour Average PM2.5 Concentrations                          47
Table 18     Predicted Annual Average Incremental PM2.5 Concentrations                             47
Table 19     Predicted Annual Average Incremental TSP Concentrations                               48
Table 20     Predicted Monthly Average Incremental TSP Concentrations                              49
Table 21     Summary of Potential Project Greenhouse Gas Emissions                                 52
Table 22     Scope 1 Diesel Combustion Related GHG Emissions                                       52
Table 23     Scope 2 GHG Emissions – Purchased Electricity                                         53
Table 24     Scope 3 GHG Emissions – Product Transportation and Employee Travel                    54
Table 25     Scope 3 GHG Emissions – Purchased Electricity                                         54
Table 26     Scope 3 Diesel Combustion Related GHG Emissions                                       54


Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
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TABLE OF CONTENTS


Table 27     Total GHG Emissions by Project Scenario                                                55


Figure 1     Oblique Aerial View of Bass Point Quarry (view to southwest)                             7
Figure 2     Regional Setting of Project Site                                                         8
Figure 3     View of the Bass Point Quarry from Northwest Corner                                      9
Figure 4     Sensitive Receptor Locations                                                            11
Figure 5     3-Dimensional Local Topography Surrounding Project Site                                 13
Figure 6     24-hour Average PM10 Concentration Distribution – Albion Park and Albion Park South - 2003
             to 2008                                                                                 18
Figure 7     NSW DECCW PM10 (24-Hour Average) Monitoring Results for Albion Park South, 2008         19
Figure 8     24-hour Average PM2.5 Concentration Distribution – Wollongong - 2003 to 2008            20
Figure 9     NSW DECCW PM2.5 (24-Hour Average) Monitoring Results for Wollongong, 2008               21
Figure 10    24-hour Average PM2.5 Concentration Distribution – Wollongong - 2008                    22
Figure 11    Regional Topography Surrounding the Project Site                                        24
Figure 12    Comparison between Concurrent Observations at BPQ and Kiama                             25
Figure 13    Annual Wind Rose for Kiama (Bombo) AWS - 2008                                           27
Figure 14    Annual Stability Class Distributions for Kiama (Bombo) AWS, 2008                        28
Figure 15    TAPM-Predicted Diurnal Variation in Mixing Depth for Kiama (Bombo) AWS, 2008            29
Figure 16    Dispersion Modelling Source Locations Scenario 1 / 1a                                   32
Figure 17    Dispersion Modelling Source Locations Scenario 2                                        32
Figure 18    Dispersion Modelling Source Locations Scenario 3                                        33
Figure 19    Annual TSP Emissions by Scenario and Source Type                                        34
Figure 20    Annual PM10 Emissions by Scenario and Source Type                                       34
Figure 21    Annual PM2.5 Emissions by Scenario and Source Type                                      35
Figure 22    Total Annual Emissions by Pollutant and Scenario                                        35
Figure 23    Current Primary Western Extraction Pit Operations                                       37
Figure 24    Ship Loading of Product Materials at BPQ                                                39
Figure 25    Frequency Distribution of Predicted Incremental 24-hour Average PM10                    43


Appendix A   Shell Cove Develoment Masterplan – Australand 2009
Appendix B   Wollongong Airport and Kiama (Bombo) AWS Wind Roses – 2004 to 2008
Appendix C   Seasonal Variation in Wind Speed And Direction - Kiama (Bombo) AWS - 2008
Appendix D   TAPM-Predicted Seasonal Variation in Stability Class - Kiama (Bombo) AWS – 2008
Appendix E   Example AERMOD Input File
Appendix F   Particulate Matter Emission Factor Calculations
Appendix G   Predicted Incremental 24-hour Average PM10 Concentrations
Appendix H   Predicted Incremental Annual Average PM10 Concentrations
Appendix I   Predicted Incremental 24-Hour Average PM2.5 Concentrations
Appendix J   Predicted Incremental Annual Average PM2.5 Concentrations
Appendix K   Predicted Incremental Annual Average TSP Concentrations
Appendix L   Predicted Incremental Monthly Average Dust Deposition Levels




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                            Page 6
1       INTRODUCTION

        Hanson Construction Materials Pty Ltd (Hanson) propose to expand its existing hard rock
        extraction and processing operations on Lot 22 DP 1010797 at Bass Point, near Wollongong,
        NSW.

        Hanson propose to increase the life of the Bass Point Quarry (BPQ) into the future through the
        following components:
             Installation and operation of a new processing plant and relocation of concrete plant and
             administration buildings to within the centre of the open cut pit. Existing processing plant
             situated at the northeast corner of the BPQ will be decommissioned; and
             Deeping of open cut extraction area progressively to -40 m Australian Height Datum (AHD).
             Extraction rate will also be increased progressively from the existing 1.5 Million tonnes per
             annum (Mtpa) to 4 Mtpa.

        Heggies have been commissioned by Hanson to conduct a full air quality and greenhouse gas
        assessment for the expansion of the BPQ, which is the focus of this report.

        Figure 1 presents an oblique aerial view of the BPQ, illustrating the current site configuration and
        surrounding land use.

        Figure 1    Oblique Aerial View of Bass Point Quarry (view to southwest)




          Image Source: Hanson, 2008




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                                 Page 7
2       PROJECT SETTING

        The BPQ is situated approximately 20 km south of the central business district of Wollongong on
        the New South Wales south coast. Figure 2 illustrates the regional setting of the Project Site.

        Figure 2 Regional Setting of Project Site




                                                                                        BPQ setting




          Map Source: Geoscience Australia, 2009

        The BPQ is currently an active hard rock quarrying operation, located on the Bass Point Headland
        and bordered by a state park, a reserve park, an aquatic reserve and growing residential land
        release. The surrounding land uses include:
             Shell Cove - Australand /Shellharbour residential subdivision and boat harbour precinct.
             Bass Point Reserve - Bushranger's Bay is a Marine Aquatic Reserve.
             Killalea State Park - Recreation Area – camping ground, cabins, scuba diving, snorkelling,
             fishing and walking activities.
             Killalea Lagoon is a coastal wetland located 250 m from the ocean.
             Minnamurra and Killalea Beaches (known locally as 'Mystics Beach' and 'The Farm').

        Figure 3 shows the current land use and terrain of the Project Site, viewed from the northwest
        corner.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
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        Figure 3 View of the Bass Point Quarry from Northwest Corner

          East Facing View of Ship Loader (left) and Existing Processing Plant (right) from the Shallows
          Coastal Reserve Carpark, adjacent to northern site boundary




          West Facing View from the western site boundary, showing local terrain and land use types,
          including Killalea Lagoon (left foreground) and residential properties at Shell Cove




2.1     Sensitive Receptors

        The NSW Department of Environment, Climate Change and Water (DECCW) specify within the
        2005 document, the “Approved Methods for the Modelling and Assessment of Air Pollutants in
        New South Wales” (the Approved Methods), that assessment of air quality impacts attributable to
        an operation should be assessed at the nearest surrounding sensitive receptors. Sensitive
        receptors are identified within the Approved Methods as:

             A location where people are likely to work or reside; this may include a dwelling, school, hospital,
             office or public recreation area. An air quality impact assessment should also consider the location of
             known or likely future sensitive receptors.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
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        A number of existing sensitive receptors are situated in the area surrounding the BPQ.
        Furthermore, the surrounding suburb of Shell Cove is undergoing significant residential
        development, with vacant lots approved for dwelling construction. Appendix A presents a master
        plan of the proposed Shell Cove Development. In order to address impacts upon the approved
        vacant lots within the Shell Cove Development, receptor locations at the closest points to the
        BPQ boundary, Norman Close and Davis Parkway have been selected.

        As presented in Appendix A, a large area is currently listed for potential future development,
        including the establishment of residential and commercial buildings and a marina. Due to the
        uncertainty associated with the exact nature of this expanded future development, the closest
        point to the Project Site, marked by the proposed playing fields, will be assumed as a worst-case
        assessment location.

        In order to select representative assessment locations for the recreational areas to the west
        (Killalea State Park) and north (Shallows Coastal Reserve), sensitive receptor locations have been
        selected for the Killalea State Park Picnic Area and Shallows Coastal Reserve Carpark. These are
        considered as locations where population residence time may be longest for an exposure period.
        Additionally, it is understood that an eco-resort development may be constructed in the Killalea
        State Park in the future. As specific details on this development are not readily available, the
        Picnic Area sensitive receptor location is considered appropriate for assessment at this time.

        A list of existing and future sensitive receptor points (R1 to R15) identified in the immediate
        vicinity of the Project Site, and respective distances of such receptor points to the site boundary
        are listed in Table 1. Figure 4 illustrates the location of the surrounding receptors in relation to
        the Project Site.

        Table 1      Surrounding Sensitive Receptor Locations

          Receptor    Location                 Location (m, MGA56)             Distance (km) /   Elevation
          ID                                                                   Direction From    (m, AHD)
                                               Easting              Northing
                                                                               Site Boundary
          R1          Boollwarroo Pde          304815               6170987    1.0 / NNW         6
          R2          Mary Street              304480               6171080    1.2 / NNW         6
          R3          Sophia St Park           304195               6171070    1.3 / NNW         6
          R4          Sloop Ave                303815               6170715    1.3/ NW           17
          R5          Apollo Drive             303915               6170400    1.1 / NW          14
          R6          Makaha Way               304200               6170110    0.7 / WNW         21
          R7          Mystics Drive            304185               6169960    0.7 / WNW         27
          R8          Hinchinbrook Dr          303790               6169810    0.9 / WNW         32
          R9          Magnetic Ridge           303735               6169620    0.9 / W           46
                      Shell Cove Primary
          R10         School                   303410               6169700    1.3 / W           37
          R11         Norman Close1            303680               6169460    1.0 / W           51
                                      1
          R12         Davis Parkway            303650               6169265    1.1 / WSW         55
                      Killalea State Park
          R13         Picnic Area              304015               6168955    0.8 / SW          52
                      Proposed Playing
          R14         Fields, Shell Cove       304850               6169855    0.2 / N           19
                      The Shallows
                      Coastal Reserve
          R15         Carpark                  305335               6170090    0.05 / NW         6
          Note 1: Proposed Residential Location




Heggies Pty Ltd             Bass Point Quarry Expansion
Report Number 10-3394-R1    Air Quality Impact Assessment
Revision 0                  Hanson Construction Materials Pty Ltd
                            (10-3394R1.doc) 21 May 2010                                                      Page 10
        Figure 4 Sensitive Receptor Locations




2.2     Local Topography

        The BPQ is situated in a coastal setting and as a result, the topographical features surrounding
        the site are quite varied. The extractive area of the BPQ, currently at a maximum depth of
        approximately 10 m AHD in the existing eastern extraction pit, is flanked along each boundary by
        topography between 15 m AHD (northern boundary) to 45 m AHD (western and southern
        boundaries). Beyond the BPQ boundary, the terrain undulates gradually, increasing to the west
        from the Killalea Lagoon. The majority of sensitive receptor locations (see Table 1), are located at
        an elevation at or below that of the BPQ perimeter terrain.

        A three dimensional representation of the topographical features described above is presented in




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
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        .




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010             Page 12
        Figure 5 3-Dimensional Local Topography Surrounding Project Site




          Note: Topography shown with vertical exaggeration of 2



Heggies Pty Ltd             Bass Point Quarry Expansion
Report Number 10-3394-R1    Air Quality Impact Assessment
Revision 0                  Hanson Construction Materials Pty Ltd
                            (10-3394R1.doc) 21 May 2010                    Page 13
3       AIR QUALITY CRITERIA

3.1     Particulate Matter

        Airborne contaminants that can be inhaled directly into the lungs can be classified on the basis of
        their physical properties as gases, vapours or particulate matter. In common usage, the terms
        “dust” and “particulates” are often used interchangeably. The term “particulate matter” refers to
        a category of airborne particles, typically less than 30 microns (μm) in diameter and ranging down
        to 0.1 μm and is termed Total Suspended Particulate (TSP).

        The annual goal for Total Suspended Particulate (or TSP) is given as 90 μg/m3, as recommended
        by the National Health and Medical Research Council (NHMRC) at their 92nd session in October
        1981. It was developed before the more recent results of epidemiological studies suggested a
        relationship between health impacts and exposure to concentrations of finer particulate matter.

        Emissions of particulate matter less than 10 and 2.5 microns in diameter (referred to as PM10 and
        PM2.5 respectively) are considered important pollutants due to their ability to penetrate into the
        respiratory system. In the case of the PM2.5 category, recent health research has shown that this
        penetration can occur deep into the lungs. Potential adverse health impacts associated with
        exposure to PM10 and PM2.5 include increased mortality from cardiovascular and respiratory
        diseases, chronic obstructive pulmonary disease and heart disease, and reduced lung capacity in
        asthmatic children.

        The NSW PM10 assessment goals as expressed in the Approved Methods are:
             A 24-hour maximum of 50 µg/m3; and
             An annual average of 30 µg/m3.

        The 24-hour PM10 reporting standard of 50µg/m3 is numerically identical to the equivalent National
        Environment Protection Measure (or NEPM) reporting standard except that the NEPM reporting
        standard allows for five exceedances per year. These NEPM goals were developed by the
        National Environmental Protection Council (NEPC) in 1998 to be achieved within 10 years of
        commencement.

        In December 2000, the NEPC initiated a review to determine whether a new ambient air quality
        criterion for PM2.5 was needed in Australia, and the feasibility of developing such a criterion. The
        review found that:
             there are health effects associated with fine particles;
             the health effects observed overseas are supported by Australian studies; and
             fine particle standards have been set in Canada and the USA, and an interim criterion
             proposed for New Zealand.

        The review concluded that there is sufficient community concern regarding PM2.5 to consider it an
        entity separate from PM10.

        As such, in July 2003 a variation to the Ambient Air Quality NEPM was made to extend its
        coverage to PM2.5. This document references the following goals for PM2.5:
             A 24-hour average concentration of 25 µg/m3.
             An annual average concentration of 8 µg/m3.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                                Page 14
3.2     Nuisance Impacts of Fugitive Emissions

        The preceding sections are concerned in large part with the health impacts of particulate matter.
        Nuisance impacts need also to be considered, mainly in relation to dust. In NSW, accepted
        practice regarding the nuisance impact of dust is that dust-related nuisance can be expected to
        impact on residential areas when annual average dust deposition levels exceed 4 g/m2/month.

        Table 2 presents the DECCW impact assessment goals for dust deposition, showing the
        allowable increase in dust deposition level over the ambient (background) level which would be
        acceptable so that dust nuisance could be avoided.

        Table 2       DECCW Goals for Allowable Dust Deposition

          Averaging Period                        Maximum Increase in Deposited   Maximum Total Deposited Dust
                                                  Dust Level                      Level
          Annual                                  2g/m2/month                     4g/m2/month
          Source: Approved Methods, DECCW 2005.


3.3     Project Air Quality Goals

        In view of the foregoing, the air quality goals adopted for this assessment, which conform to
        current DECCW and federal air quality criteria, are summarised in Table 3.

        Table 3       Project Air Quality Goals

          Pollutant                               Averaging Time                  Goal
          TSP                                     Annual                          90 µg/m3
                                                  24 hours                        50 µg/m3
          PM10
                                                  Annual                          30 µg/m3
                                                  24 hours                        25 µg/m3
          PM2.5
                                                  Annual                          8 µg/m3
                                                                                  Maximum incremental increase of
          Dust Deposition                         Annual                          2 g/m2/month
                                                                                  Maximum Total of 4 g/m2/month




Heggies Pty Ltd              Bass Point Quarry Expansion
Report Number 10-3394-R1     Air Quality Impact Assessment
Revision 0                   Hanson Construction Materials Pty Ltd
                             (10-3394R1.doc) 21 May 2010                                                  Page 15
4       EXISTING AIR QUALITY ENVIRONMENT

        There are a number of existing extractive and materials handling operations in the region
        surrounding the BPQ site, including:
             Cleary Bros (Bombo) Quarry, Albion Park – approximately 4.5 km west-northwest of BPQ.
             Readymix Quarry, Albion Park – approximately 4.9 km west-northwest of BPQ.
             Boral Quarry, Dunmore – approximately 3.9 km west-southwest of BPQ.
             Boral Bombo Quarry – approximately 5.8 km south-southwest of BPQ.
             Boral Sand and Soil, Dunmore - approximately 2.1 km southwest of BPQ.
             Waste Depot, Minnamurra - approximately 2.9 km southwest of BPQ.

        While these operations are not in the immediate vicinity of the BPQ, each operation has the
        potential to contribute emissions of particulate matter to the local air shed. Consequently, in
        order to account for the existing air quality levels in the region and the potential cumulative impact
        of surrounding existing operations, air quality monitoring data for dust deposition, PM10, PM2.5 and
        TSP has been sought and analysed in the following sections.

4.1    Background Dust Deposition Environment

        Between February 2007 and April 2008, Heggies were commissioned by Cleary Bros (Bombo) Pty
        Ltd to conduct Dust Deposition Monitoring for the Shell Cove Waste Containment Cell Project,
        situated to the north of the Project Site. This project involved the excavation and relocation of
        waste from the Old Landfill to the new Shell Cove Waste Containment Cell. As part of an EPL
        license, dust deposition monitoring was conducted at three locations:
             Makaha Way
             Boollwarroo Parade
             Sophia Street

        The average dust deposition levels for the monitoring recorded over the life of the Shell Cove
        Waste Containment Cell Project are presented in Table 4.

        Table 4      Dust Deposition Monitoring - Shell Cove Waste Containment Cell Project

          Location                       Insoluble Solids (g/m2/month)     Ash Residue (g/m2/month)
          Makaha Way                     1.5                               0.9
          Boollwarroo Parade             1.8                               1.3
          Sophia Street                  1.2                               0.6

        The results presented in Table 4 indicate that the background level of dust deposition for the
        Shellharbour area is generally less than 2 g/m2/month, taking into account the activities of the
        Shell Cove Waste Containment Cell Project. Given the distance of the Sophia Street monitoring
        location from the BPQ (approximately 1.3 km), it is considered the results are a good indication of
        background dust deposition levels with the exclusion of influence from the BPQ. Consequently,
        the level of 1.2 g/m2/month will be adopted as background levels within this assessment.

        In addition, monitoring is being conducted as part of the EPL for the BPQ, at two locations along
        the north-western side. The results obtained from the Annual Returns for 2005, 2006 and 2007
        are presented in Table 5.




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        Table 5     Annual Dust Deposition Data - EPL Licence

          Sample Location                Reporting Year                  Annual Mean
          DDG1                           2005                            1.7
          DDG2                           2005                            2.5
          DDG1                           2006                            3.0
          DDG2                           2006                            3.0
          DDG1                           2007                            3.1
          DDG2                           2007                            3.1
          Average                                                        2.7

        Based on the information provided above, the background ambient dust deposition levels in the
        area are of the order of 2.7 g/m2/month, which is fairly typical of an urban or semi-urban area.
        The dust deposition levels recorded closer to the BPQ boundary are slightly higher, taking into
        account existing operations at the site.

4.2 Ambient Particulate Matter Environment

4.2.1 PM10

        PM10 is not currently monitored in the vicinity of the BPQ site. As a substitute, data is available
        from the DECCW’s Albion Park South air quality monitoring station. This air quality monitoring
        site is located in Terry Reserve on Hughes Drive, Albion Park, approximately 8.5 km
        west-northwest of the BPQ (see Figure 11). Prior to the commissioning of this monitoring station
        in January 2006, the DECCW maintained a similar monitoring station at Albion Park,
        approximately 7.8 km west-northwest of the BPQ site and 0.8 km east-northeast of the Albion
        Park South station (see Figure 11).

        In order to obtain an indication of likely PM10 concentrations in the region of the BPQ, the
        daily-varying (24-hour average) PM10 concentrations recorded at these two stations between 2003
        and 2008 have been analysed. A frequency histogram of recorded 24-hour average PM10
        concentrations at the DECCW Albion Park and Albion Park South stations between 2003 and
        2008 is presented in Figure 6.




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        Figure 6 24-hour Average PM10 Concentration Distribution – Albion Park and Albion
                 Park South - 2003 to 2008



                       100%

                       90%

                       80%

                       70%

                       60%
           Frequency




                       50%

                       40%

                       30%                       27.4%
                                        24.5%
                                                           19.7%
                       20%
                                                                     12.0%
                       10%                                                      6.9%
                              2.4%                                                         3.7%
                                                                                                    1.9%    0.7%    0.4%    0.5%
                        0%
                              0-5        5-10     10-15    15-20     20-25      25-30      30-35    35-40   40-45   45-50   50+
                                                                     PM 10 Concentration (µg/m 3)




        Figure 6 shows that 24-hour average concentrations in the Albion Park region are less than
        25 µg/m3 approximately 86% of the time. Elevated concentrations greater than 40 µg/m3 are
        experienced during approximately 1.6% of days and are likely to be associated with anomalous
        larger-scale events such as bushfires and dust storms. The average PM10 concentration recorded
        between 2003 and 2008 was 16.2 µg/m3.

        Section 5.1.1 of the Approved Methods states that for Level 2 air quality assessments, ambient
        monitoring data for at least one year of continuous measurements should be used in the
        dispersion modelling process. The 24-hour average PM10 concentrations recorded at the Albion
        Park South monitoring station for the period 1 January 2008 to 31 December 2008 are presented
        in Figure 7. This dataset is concurrent with the meteorological data set used in the atmospheric
        dispersion modelling conducted for this assessment (further discussion is provided in Section 5).




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        Figure 7 NSW DECCW PM10 (24-Hour Average) Monitoring Results for Albion Park
                 South, 2008

                                100




                                 80
        Concentration (µg/m3)




                                 60

                                         DECCW Criterion



                                 40




                                 20




                                  0

                                      Jan-08     Feb-08       Mar-08   Apr-08   May-08    Jun-08   Jul-08   Aug-08   Sep-08   Oct-08   Nov-08   Dec-08



        The results indicate that the highest 24-hour average PM10 concentration recorded at the
        DECCW’s Albion Park South monitoring site was 96.1 µg/m3 recorded on 1 July 2008. This is
        above the DECCW goal of 50 µg/m3. The next highest concentration during 2008 was 45.1 µg/m3
        on 2 October 2008. The average PM10 concentration recorded during 2008 was 14.8 µg/m3.

        Figure 10 presents the frequency distribution of 24-hour average concentrations recorded during
        2008 at the DECCW Albion Park South station. Comparison of Figure 10 with the distribution
        presented in Figure 6 would suggest that the 2008 dataset is representative of trends for the
        region.

4.2.2 PM2.5

        As is the case for PM10, PM2.5 is not currently monitored in the vicinity of the BPQ site. As a
        substitute, data from the closest DECCW’s air quality monitoring station at Wollongong has been
        adopted. This air quality monitoring site is located in the Australian Army Depot on Gipps Street,
        Wollongong, approximately 20 km north of the BPQ (located just west of “Flagstaff Point” in
        Figure 2).

        It is noted that the setting of the Wollongong air quality monitoring station is higher in urban
        density. Consequently, it may be considered that the recorded PM2.5 concentrations are likely to
        be higher than those experienced in the vicinity of the BPQ site. However, in the absence of more
        site-specific data, the Wollongong PM2.5 data is considered appropriate for the conservative
        assessment of existing ambient concentrations of PM2.5.

        In order to obtain an indication of likely PM2.5 concentrations in the region of the BPQ, the
        daily-varying (24-hour average) PM2.5 concentrations recorded at the Wollongong station between
        2003 and 2008 have been analysed. A frequency histogram of recorded 24-hour average PM2.5
        concentrations at the DECCW Wollongong station between 2003 and 2008 is presented in
        Figure 6.




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        Figure 8 24-hour Average PM2.5 Concentration Distribution – Wollongong - 2003 to
                 2008



                       100%

                       90%

                       80%

                       70%

                       60%
                                           53.0%
           Frequency




                       50%

                       40%

                       30%
                                                          23.8%

                       20%    14.7%

                       10%                                                   6.8%
                                                                                                  1.2%    0.3%    0.3%
                        0%
                               0-5          5-10          10-15              15-20                20-25   25-30   30+
                                                                  PM 2.5 Concentration (µg/m 3)




        Figure 6 shows that 24-hour average PM2.5 concentrations at Wollongong are less than 15 µg/m3
        approximately 92% of the time. Elevated concentrations greater than 20 µg/m3 are experienced
        approximately 1.8% of the time and, like PM10 concentrations, are likely to be associated with
        anomalous larger-scale events such as bushfires and dust storms. The average PM2.5
        concentration recorded between 2003 and 2008 was 9.0 µg/m3.

        Section 5.1.1 of the Approved Methods states that for Level 2 air quality assessments, ambient air
        quality monitoring data for minimum one year of continuous measurements should be used in the
        dispersion modelling process. The 24-hour average PM2.5 concentrations recorded at the
        Wollongong monitoring station for the period 1 January 2008 to 31 December 2008 are presented
        in Figure 9 This dataset is concurrent with the meteorological dataset used in the atmospheric
        dispersion modelling conducted for this assessment (further discussion is provided in Section 5).




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        Figure 9 NSW DECCW PM2.5 (24-Hour Average) Monitoring Results for Wollongong,
                 2008

                                30




                                        NEPM Criterion




                                20
        Concentration (µg/m3)




                                10




                                 0

                                     Jan-08      Feb-08     Mar-08    Apr-08   May-08    Jun-08   Jul-08   Aug-08   Sep-08   Oct-08   Nov-08   Dec-08



        The results indicate that the highest 24-hour average PM2.5 concentration recorded at the
        DECCW’s Wollongong monitoring site was 15.7 µg/m3 recorded on 29 January 2008. The
        average PM2.5 concentration recorded during 2008 was 5.6 µg/m3.

        Figure 10 presents the frequency distribution of 24-hour average PM2.5 concentrations recorded
        during 2008 at the DECCW Wollongong station. Comparison of Figure 10 with the distribution
        presented in Figure 6 would suggest that the 2008 dataset is lower than the overall trends
        experienced between 2003 and 2008 at the Wollongong station, with almost 100% of recorded
        concentrations lower than 15 µg/m3. Despite this, it is still considered that the use of the
        Wollongong PM2.5 dataset as representative of existing ambient concentrations at the BPQ is
        appropriate.




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        Figure 10 24-hour Average PM2.5 Concentration Distribution – Wollongong - 2008



                       100%

                        90%

                        80%

                        70%

                        60%
           Frequency




                                50.6%
                        50%
                                              39.8%
                        40%

                        30%

                        20%
                                                             9.3%
                        10%
                                                                                0.3%                0.0%    0.0%    0.0%
                         0%
                                 0-5           5-10          10-15              15-20               20-25   25-30   30+
                                                                                               3
                                                                     PM 2.5 Concentration (µg/m )




4.2.3 TSP

        TSP is not currently monitored in the vicinity of the Project Site. The DECCW have historically
        conducted concurrent TSP and PM10 sampling in the Illawarra region through a network of high
        volume air sampler (HVAS) units. HVAS sampling data for TSP and PM10 concentrations in the
        Illawarra region, conducted on a one-in-six day cycle between 1996 and 2004, was obtained from
        the DECCW.

        In order to derive a suitable background TSP concentration from the PM10 data recorded by the
        DECCW at Albion Park (Section 4.2.1), the ratio of PM10 to TSP from the historic HVAS sampling
        data in the Illawarra region has been analysed. The range of PM10 to TSP ratio varied between
        12% and 100%, with such large difference likely attributable to the fact that the HVAS locations
        were changed regularly in differing proximity to heavy industry in the region, such as the
        BlueScope Steel works at Port Kembla. Consequently, the average PM10 to TSP ratio of all
        monitoring data between 1996 and 2004, equating to 36.2%, has been used as an indicative
        relationship between the two parameters in the Illawarra Region.

        When applied against the annual average PM10 concentration recorded at the DECCW Albion
        Park South monitoring station in 2008 (14.8 µg/m3), an annual average TSP concentration of
        40.9 µg/m3 was derived.

4.3     Assessing Cumulative Impacts

        In order to assess likely background concentrations and potential cumulative impacts with
        emissions from the BPQ, the following will be undertaken:
                       Each individual 24-hour average predicted PM10 and PM2.5 concentration will be paired in
                       time with the corresponding 24-hour concentration within the adopted 2008 monitoring
                       dataset to obtain total impact at each receptor. This is in accordance with Section 5.1.1 of
                       the Approved Methods.



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             The frequency distribution of predicted 24-hour average concentrations of PM10 and PM2.5
             will be compared with the corresponding frequency distribution of the monitoring dataset to
             provide an indication of the likelihood of elevated cumulative impacts occurring. It is
             considered that this method will be of significant use in determining the likely impact of
             expanded operations at the BPQ.
             Annual average PM10, PM2.5, TSP and monthly dust deposition will be assessed through the
             addition of the dataset average concentrations, as identified in the preceding sections
             (14.8 µg/m3, 5.6 µg/m3, 40.9 µg/m3 and 1.2 g/m2/month respectively).

        The existing ambient air quality levels adopted for this assessment are summarised in Table 6.

        Table 6     Ambient Air Quality Environment for Assessment Purposes

                                                                    Assumed Background   Data Source
          Air Quality Parameter         Averaging Period
                                                                    Ambient Level
          Dust Deposition               Annual                      1.2 g/m2/month       Heggies
                                        24-Hour                     Daily Varying        DECCW Albion Park
          PM10                                                                           South
                                                                                   3
                                        Annual                      14.8 µg/m
          PM2.5                         24-Hour                     Daily Varying        DECCW Wollongong
                                                                               3
                                        Annual                      5.6 µg/m
                                                                                         Derived from
          TSP                           Annual                      40.9 µg/m3           DECCW PM10 annual
                                                                                         average




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5       DISPERSION METEOROLOGY

        To adequately characterise the dispersion meteorology of the BPQ area, monitoring data from the
        onsite meteorological station and the Bureau of Meteorology (BoM) automatic weather stations
        (AWS) located at Wollongong Airport and Kiama were sourced. The location details of these
        monitoring stations are summarised in Table 7.

        The data from these monitoring stations were used to characterise the local meteorology and
        provide the input datasets for the meteorological modelling undertaken. The proximity of these
        two weather stations to the Project Site and the topographical features between is presented in
        Figure 11. Additionally presented in Figure 11 are the two Albion Park area DECCW air quality
        monitoring stations discussed in Section 4.

        Table 7      Meteorological Monitoring Station Details

        Station Name                Location (m, MGA56)              Distance (km) / Direction Base Elevation (m, AHD)
                                                                     From Project Site
                                    Easting         Northing
        Onsite Station              305887          6169767          At northern site boundary   15 m
        Kiama (Bombo)               303966          6163336          5.5 / SSW                   9m
        Wollongong Airport          297331          6173762          8.6 / NW                    6m

        Figure 11 Regional Topography Surrounding the Project Site




                                                                                           Wollongong
                                   Albion Park                                             Airport AWS
                                   South DECCW



                                                                                                 BPQ Site /
                                 Albion Park DECCW                                               Onsite Station
                                 Decommissioned 2005




                                                                           Kiama (Bombo) AWS




          Note: Topography shown with vertical exaggeration of 2


5.1     Meteorological Data Availability

        Meteorological data from the BPQ station recorded between August 2008, when the station was
        established, and September 2009 was made available by Hanson for use in this assessment.
        Parameters recorded at this station include:
             Wind speed and direction;
             Solar radiation;



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                Air pressure; and
                Relative Humidity.

        However, due to technical difficulties with the operation of the station, data is only available for
        approximately 60% of the time between August 2008 and September 2009. The Approved
        Methods (DECCW, 2005) state in Section 4.1 that for Level 2 air quality impact assessments (this
        assessment), a site-specific meteorological dataset with at least 90% complete hourly
        observational data for a one year period must be used (i.e. for 8760 hours, maximum of 876
        missing).

        Should site-specific meteorological data not meet the minimum requirements, site-representative
        data may be used. Due to a similar coastal siting (see Figure 11), the BoM Kiama (Bombo) AWS
        is considered a likely alternative dataset that can be used as site-representative for this
        assessment. To illustrate the suitability of the Kiama dataset, the hourly wind speed and direction
        observations concurrent with the observations recorded at the BPQ station have been compared
        and presented in Figure 12.

        Figure 12 Comparison between Concurrent Observations at BPQ and Kiama
                                        N                                                                                     N
                          NNW                           NNE                                                      NNW                          NNE



                  NW                                               NE                                   NW                                               NE




          WNW                                                            ENE                      WNW                                                          ENE

                                                                               Wind Speed (m/s)
                                                                                 >0.5 - 1.5
                                                                                 >1.5 - 3
          W                                                                E     >3 - 5.5         W                                                              E

                                       0%          4%         8%   12%           >5.5 - 8                                    0%          4%         8%   12%
                                                                                 >8 - 10.5
                                                                                 >10.5
          WSW                                                            ESE                      WSW                                                          ESE




                  SW                                               SE                                   SW                                               SE



                          SSW                           SSE                                                      SSW                          SSE
                                        S                                                                                     S
                       BPQ August 2008 to September 2009                                                     Kiama August 2008 - September 2009
                                  (Calms = 2.0%)                                                                        (Calms = 1.0%)




        It can be seen from the wind roses presented in Figure 12 for the BPQ and Kiama datasets
        recorded between August 2008 and September 2009 that a very similar wind direction pattern is
        experienced at both stations, with a general north / north-northeast to south flow prevalent.

        On the basis of Figure 12, recorded wind speed is typically stronger at the Kiama station than the
        BPQ station. It is expected that this difference is associated with the more exposed setting of the
        Kiama station, particularly with regard to southerly winds which are noted to be the strongest
        recorded. As stated in Table 7, the BPQ station is sited at the northern boundary of the site,
        adjacent to the administration buildings. Whilst the BPQ station is a 10 m mast, the elevation of
        the terrain along the southern edge of the Bass Point headland is greater than the sensor height
        (approximately 45 m AHD, as discussed in Section 2.2) and would likely reduce wind speeds
        across the BPQ site. This “blocking” effect was experienced first hand by Heggies during a site
        inspection in September 2009, where strong southerly winds off the ocean were noted standing at
        the southern boundary and significantly lighter winds were noted at the northern boundary.




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        It is considered that on the basis of the wind roses presented in Figure 12 that in the absence of
        a complete one year site-specific meteorological dataset from the BPQ station, hourly data
        recorded at the BoM Kiama (Bombo) AWS during 2008 will used as a site-representative dataset
        within this assessment. While the wind speed is typically higher at the Kiama AWS, this will assist
        in providing a conservative estimation of particulate matter emissions, especially for wind erosion
        related sources (further discussion in Section 6).

5.2     Meteorological Modelling

        Data obtained by the BoM Kiama (Bombo) AWS, considered a site-representative dataset for the
        BPQ, was sourced to compile the majority of parameters required to conduct atmospheric
        dispersion modelling. For indirect parameters not recorded, including atmospheric stability class
        and mixing height, The Air Pollution Model (TAPM) meteorological model (Version 3) was used to
        create a complete meteorological dataset for use in the dispersion modelling for this assessment.
        Further, gaps in the Kiama dataset were substituted with TAPM predicted values.

        TAPM, developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO)
        is a prognostic model which may be used to predict three-dimensional meteorological data and
        air pollution concentrations, with no local data inputs required.

        TAPM predicts wind speed and direction, temperature, pressure, water vapour, cloud, rain water
        and turbulence. The program allows the user to generate synthetic observations by referencing
        databases (covering terrain, vegetation and soil type, sea surface temperature and synoptic scale
        meteorological analyses) which are subsequently used in the model input to generate site-specific
        hourly meteorological observations.

        Additionally, TAPM may assimilate actual local wind observations so that they can optionally be
        included in a model solution. The wind speed and direction observations are used to realign the
        predicted solution towards the observation values. This function of accounting for actual
        meteorological observations within the region of interest is referred to as “data assimilation”.

        Thus, direct measurements for 2008 of hourly average wind speed and wind direction at the three
        stations listed in Table 7 were input into the TAPM simulations to provide realignment to local and
        regional conditions.

        Appendix B presents a comparison of the annual wind roses recorded between 2004 and 2008 at
        the Kiama (Bombo) and Wollongong Airport AWS. It can be seen that the wind speed and
        direction patterns presented in each wind rose suggest that the 2008 dataset is representative for
        each AWS location. No such comparison for the BPQ station has been conducted due to the
        limited data available.

        Table 8 details the parameters used in the meteorological modelling for this assessment.

        Table 8      Meteorological parameters used for this study

          TAPM (v 3.0)
          Number of grids (spacing)                                   5 (30 km, 10 km, 3 km, 1 km, 300 m)
          Number of grid points                                       25 x 25 x 30
          Year of analysis                                            2008
          Centre of analysis                                          34o34.5’ S, 150o53’ E
                                                                      Meteorological data assimilation using wind data from
          Data assimilation                                           onsite, Wollongong Airport and Kiama (Bombo) AWS
                                                                      into 3 lowest levels of model (10m, 25m and 50m).
          Data Extraction                                             Kiama (Bombo) AWS




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5.3     Meteorological Conditions

5.3.1 Wind Regime

        A summary of the 2008 annual wind behaviour recorded at the Kiama (Bombo) AWS is presented
        as a wind rose in Figure 13. This wind rose displays occurrences of winds from all quadrants.

        Figure 13 indicates that winds experienced at Kiama are predominately light to strong (between
        1.5 m/s and greater than 10.5 m/s) from the south-southeast to south-southwest (approximately
        26% combined), north-northeast (approximately 20%) and west (approximately 12%). Calm wind
        conditions (wind speed less than 0.5 m/s) were recorded approximately 1.3% of the time
        throughout 2008.

        The seasonal variation in predicted wind behaviour at the Project Site is presented in
        Appendix C. The seasonal wind roses indicate that:
             In spring, light to strong winds are experienced from the north-northeast (approximately 26%
             combined) and south and south-southwest (approximately 22% combined).
             In summer, light to strong winds are experienced from the north-northeast (approximately
             26% combined) and south and south-southwest (approximately 27% combined).
             In autumn, light to strong winds are experienced predominantly from the south to
             south-southwest (approximately 23% combined) and west (approximately 15%).
             In winter, light to strong winds are experienced from the west (approximately 25%) and the
             south-southwest (approximately 15% combined).

        Figure 13 Annual Wind Rose for Kiama (Bombo) AWS - 2008

                                                     N
                                      NNW                            NNE



                           NW                                                   NE




                   WNW                                                                ENE
                                                                                            Wind Speed (m/s)
                                                                                              >0.5 - 1.5
                                                                                              >1.5 - 3
                   W                                                                    E     >3 - 5.5
                                                     0%         4%         8%   12%
                                                                                              >5.5 - 8
                                                                                              >8 - 10.5
                                                                                              >10.5
                   WSW                                                                ESE




                           SW                                                   SE



                                      SSW                            SSE
                                                     S
                                      Kiama (Bombo) AWS - 2008
                                               (Calms = 1.3%)




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5.3.2 Atmospheric Stability and Mixing Depth

        Atmospheric stability refers to the tendency of the atmosphere to resist or enhance vertical
        motion. The Pasquill-Turner assignment scheme identifies six Stability Classes, “A” to “F”, to
        categorise the degree of atmospheric stability. These classes indicate the characteristics of the
        prevailing meteorological conditions and are used as input into various air dispersion models
        Table 9).

        Table 9                    Description of atmospheric stability classes

                   Atmospheric              Category                      Description
                   Stability Class
                   A                        Very unstable                 Low wind, clear skies, hot daytime conditions
                   B                        Unstable                      Clear skies, daytime conditions
                   C                        Moderately unstable           Moderate wind, slightly overcast daytime conditions
                   D                        Neutral                       High winds or cloudy days and nights
                   E                        Stable                        Moderate wind, slightly overcast night-time conditions
                   F                        Very stable                   Low winds, clear skies, cold night-time conditions

        The TAPM-predicted frequency of each stability class at the Kiama (Bombo) AWS is presented in
        Figure 14. The TAPM-predicted seasonal stability class distribution Kiama (Bombo) AWS are
        included in Appendix D.

        The results indicate a high frequency of conditions typical to Stability Class “D”. Stability Class
        “D” is indicative of neutral conditions, conducive to a moderate level of pollutant dispersion due
        to mechanical mixing.

        Diurnal variations in maximum and average mixing depths predicted by TAPM at Kiama during
        2008 are illustrated in Figure 15. It can be seen that an increase in the mixing depth during the
        morning, arising due to the onset of vertical mixing following sunrise, is apparent with maximum
        mixing heights occurring in the mid to late afternoon, due to the dissipation of ground-based
        temperature inversions and the growth of convective mixing layer.

        Figure 14 Annual Stability Class Distributions for Kiama (Bombo) AWS, 2008

                           5000




                           4000
        Number of Occurences




                           3000




                           2000




                           1000




                               0

                                     A                 B                  C                D                E                  F
                                                                  Pasquill-Gifford Stability Class



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        Figure 15 TAPM-Predicted Diurnal Variation in Mixing Depth for Kiama (Bombo) AWS,
                  2008

                           4000




                           3000
        Mixing Depth (m)




                           2000




                           1000




                             0

                                  1   2   3    4   5    6   7    8   9    10   11    12     13    14   15   16   17   18   19   20   21   22   23   24
                                                                                    Hour of Day




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6       ATMOSPHERIC DISPERSION MODELLING

6.1    Model Selection and Configuration

        The atmospheric dispersion modelling carried out in the present assessment for emissions from
        the BPQ utilises the American Meteorological Society / US Environmental Protection Authority
        (USEPA) regulatory Gaussian plume dispersion model AERMOD. The AERMOD modelling system
        comprises of three core components:         AERMAP, the terrain processor, AERMET, the
        meteorological processor and AERMOD, the air pollutant dispersion model.

        The approved regulatory model for use in the majority of applications in NSW is the Victoria EPA
        model Ausplume, as per Section 6 of the Approved Methods. However, following consideration
        of the significant increasing depth of the open cut area of the BPQ, it was considered that the
        potential pit retention would be better reflected through the implementation of AERMOD, which
        incorporates an Open Pit source type. The implementation of AERMOD for this assessment was
        approved by DECCW Air Technical Advisory Services Unit (pers. corresp. 7 September 2009).
        Further discussion relating to the Open Pit source type will be provided in Section 6.5.

        It is noted that AERMOD assumes steady-state meteorological conditions across an entire
        modelling domain. Typically such an assumption is not considered appropriate for locations that
        may be influenced by complex meteorological flow, such as significant terrain or a coastal
        environment. Despite the coastal setting of the BPQ, taking the nature of the emission sources
        (ground-level, non-buoyant releases) and proximity of the surrounding sensitive receptors
        (between 50 m and 1,300 m), the application of AERMOD and assumption of steady state
        meteorological conditions is considered appropriate for this assessment.

        For this assessment, AERMOD was configured over a 10 km x 10 km modelling domain, centred
        on the BPQ. Gridded receptor points were configured in two stages:
             Outer 10 km x 10 km domain with 500 m spacing; and
             Inner 4 km x 4 km domain, with 250 m spacing.

        In addition to these gridded receptor domains, the individual sensitive receptor locations listed in
        Table 1 were inserted into AERMOD.

        In order to account for the potential influence on pollution dispersion and varying receptor
        elevations across the modelling domain, terrain data for was taken from the 90 m resolution
        space shuttle recorded dataset collated by the National Aeronautics and Space Administration
        (NASA) and processed by AERMAP.

        An example AERMOD modelling input file is included in Appendix E.

6.2 Modelling Scenarios

        Four modelling scenarios were configured to reflect emissions likely to be associated with current
        and proposed expanded extraction operations at the BPQ. Each modelling scenario takes into
        consideration the movement of mobile plant and equipment during operation within the Western
        open cut pit. The modelling scenarios are as follows:
             Scenario 1 – Current site configuration at production rate of 1.5 Mtpa. (Viewed as Baseline)
             Scenario 1a - Current site configuration at production rate of 1.5 Mtpa PLUS construction of
             western boundary amenity bund.
             Scenario 2 – Upgraded site operations at production rate of 2.4 Mtpa; and
             Scenario 3 0 Upgraded site operations at production rate of 4 Mtpa.


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        Each modelling scenario incorporates the following operations:
             Open Pit operations, including drilling and blasting, front-end loader and haul truck
             movements;
             Western Boundary Amenity Bund Construction, including use of dozer, excavator and haul
             trucks;
             Processing Plant Operations, including stockpiling of materials, truck loading and
             distribution;
             Wind-generated erosion emissions from stockpiles and exposed surfaces;
             Ship loading operations; and
             Concrete Plant operations.

        The following assumptions are continuous throughout each modelling scenario:
             A continuous 24-hour pit operation including drilling (2 holes/hour/8 hours), blasting
             (1x1,250 m2 blast/day), truck loading and haulage to processing plant occurs everyday of the
             modelling period. In reality, this situation would not occur.
             Enclosure of crushing plant and raw materials unloading point, following observations during
             site inspection.
             Proportion of total by Screen 1, 2 3 and 4 – 50%, 50%, 38% and 10% respectively.
             Proportion of total materials to each stockpile – Primary Surge (100%), Construction Sand
             (32%), 5mm (5%), 7mm (5%), 10mm (18%), 14mm (4%), 20mm (25%) and scalps (11%).
             No grader operations incorporated due to infrequent use and subsequent insignificant
             emission contribution relative to unsealed haul roads emissions.
             Partial/complete enclosure of all conveyors at site, including transfer to ship load out.
             Constant paved road silt loading of 0.4 g/m2 assumed based on Heggies measurements
             conducted at similar sites. It is noted that silt loading would be kept to a minimum due to
             truck spray bar prior to weigh station at exit.

        Figure 16, Figure 17 and Figure 18 illustrate the location of the sources within modelling
        Scenario 1/1a, Scenario 2 and Scenario 3 respectively. The selected source locations are
        deemed appropriate to represent maximum potential impacts at the closest surrounding
        receptors.




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        Figure 16 Dispersion Modelling Source Locations Scenario 1 / 1a


                                                                                                                                 Ship Loading
             Paved Product Road Haulage
                                                      Unpaved Product Road Haulage




                                                                                                                     Processing Plant, Stockpiles
          Western       Bund                                                                                         and Truck Loading
          Construction Area
          (Scenario 1a Only)

                                                                                                                              Concrete Plant




            Western Pit Area


                                                                                                                                 Eastern Pit Area




             Unpaved Pit Haulage




                                                                                                      South   and    Northeast
                                                                                                      Exposed Surface Areas



        Figure 17 Dispersion Modelling Source Locations Scenario 2


                               Unpaved Product Road Haulage                                                                      Ship Loading


                                                                                     Concrete Plant

           Paved Product Road Haulage




                                                                                                                                   Eastern Pit Area

            Western Pit Area




             Unpaved Pit Haulage
                                                                                                        Processing Plant, Stockpiles
                                                                                                        and Truck Loading




                                                                                                      South Exposed Surface Area




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        Figure 18 Dispersion Modelling Source Locations Scenario 3


                                                                                                           Ship Loading
                                      Unpaved Product Road Haulage



            Paved Product Road Haulage                                     Concrete Plant




            Western Pit Area


                                                                                                            Eastern Pit Area




             Unpaved Pit Haulage


                                                                                            Processing Plant, Stockpiles
                                                                                            and Truck Loading



                South Exposed Surface Area




6.3     Emission Estimation

        In order to predict pollutant concentrations likely to be associated with operations at the BPQ,
        published emission estimation methods from various USEPA AP-42 documentation and the
        Australian Government National Pollution Inventory (NPI) document, the Emission Estimation
        Technique Manual for Mining (EETMM, NPI 2001) have been sourced. Where possible, emission
        estimation equations have been implemented to reflect site specific parameters as provided by
        Hanson. Alternatively, default emission factors have been adopted.

        Published emission rate data for PM2.5 is limited. In order to draw upon a single data source
        consistently, the PM2.5/PM10 ratios published within the Western Regional Air Partnership (WRAP)
        study (WRAP, 2006) for use with the AP-42 fugitive dust emission factors have been adopted
        throughout this assessment.

        Annual emissions of TSP, PM10 and PM2.5 for each source type and modelling scenario are
        presented in Figure 19, Figure 20 and Figure 21 respectively. Figure 22 presents the variation
        by modelling scenario in total annual emissions for each pollutant. Emissions estimate
        assumptions and details of the emissions inventory calculations are presented in Appendix F.




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          Revision 0
                                                                               Generated Emissions (t/year)                                                                                                                                     Generated Emissions (t/year)




          Heggies Pty Ltd
                                                                 0
                                                                     10
                                                                          20
                                                                                      30
                                                                                                40
                                                                                                              50
                                                                                                                   60
                                                                                                                        70
                                                                                                                                                                                                                                  0
                                                                                                                                                                                                                                      20
                                                                                                                                                                                                                                           40
                                                                                                                                                                                                                                                       60
                                                                                                                                                                                                                                                                 80
                                                                                                                                                                                                                                                                               100
                                                                                                                                                                                                                                                                                     120
                                                                                                                                                                                                                                                                                           140
                                         Drilling and Blasting
                                                                                                                                                                                                          Drilling and Blasting




          Report Number 10-3394-R1
                                             Pit FEL Loading                                                                                                                                                  Pit FEL Loading


                                         Pit Truck Movement                                                                                                                                               Pit Truck Movement




                                                                                                                             Scenario 1
                                                                                                                                                                                                                                                                                                 Scenario 1




                                                     Screens                                                                                                                                                          Screens


                                           Stockpile Loading                                                                                                                                                Stockpile Loading


                                            PP FEL Loading                                                                                                                                                   PP FEL Loading




Bass Point Quarry Expansion
Air Quality Impact Assessment

(10-3394R1.doc) 21 May 2010
                                           Product Truck                                                                                                                                                    Product Truck
                                        Movement - Unsealed




                                                                                                                             Scenario 1a
                                                                                                                                                                                                         Movement - Unsealed
                                                                                                                                                                                                                                                                                                 Scenario 1a




Hanson Construction Materials Pty Ltd
                                            Product Truck                                                                                                                                                    Product Truck
                                          Movement - Sealed                                                                                                                                                Movement - Sealed


                                                Boat Loading                                                                                                                                                     Boat Loading


                                          Concrete Plant -                                                                                                                                                 Concrete Plant -
                                         Materials Unloading                                                                                                                                              Materials Unloading


                                        Concrete Plant - FEL                                                                                                                                             Concrete Plant - FEL




                                                                                                                             Scenario 2
                                                                                                                                                                                                                                                                                                 Scenario 2
                                                                                                                                                                                                                                                                                                               Figure 19 Annual TSP Emissions by Scenario and Source Type




                                                                                                                                           Figure 20 Annual PM10 Emissions by Scenario and Source Type
                                           Bund Construction                                                                                                                                                Bund Construction
                                                Dozer                                                                                                                                                            Dozer

                                           Bund Construction                                                                                                                                                Bund Construction
                                              Excavator                                                                                                                                                        Excavator

                                           Bund Construction                                                                                                                                                Bund Construction
                                                Truck                                                                                                                                                            Truck

                                              Stockpile Wind                                                                                                                                                   Stockpile Wind
                                                                                                                             Scenario 3
                                                                                                                                                                                                                                                                                                 Scenario 3




                                                 Erosion                                                                                                                                                          Erosion

                                           Exposed Surfaces                                                                                                                                                 Exposed Surfaces
                                             Wind Erosion                                                                                                                                                     Wind Erosion




Page 34
        Figure 21 Annual PM2.5 Emissions by Scenario and Source Type


                                                                                          Scenario 1                                                          Scenario 1a                                                              Scenario 2                                                                      Scenario 3

                                          10

                                          9

                                          8

                                          7
           Generated Emissions (t/year)




                                          6

                                          5

                                          4

                                          3

                                          2

                                          1

                                          0
                                                Drilling and Blasting



                                                                        Pit FEL Loading




                                                                                                                                                  PP FEL Loading




                                                                                                                                                                                                             Boat Loading



                                                                                                                                                                                                                            Materials Unloading


                                                                                                                                                                                                                                                  Concrete Plant - FEL


                                                                                                                                                                                                                                                                         Bund Construction



                                                                                                                                                                                                                                                                                             Bund Construction



                                                                                                                                                                                                                                                                                                                  Bund Construction
                                                                                                                    Screens



                                                                                                                              Stockpile Loading




                                                                                                                                                                                         Movement - Sealed
                                                                                                                                                                   Movement - Unsealed




                                                                                                                                                                                                                                                                                                                                                       Exposed Surfaces
                                                                                               Pit Truck Movement




                                                                                                                                                                                                                                                                                                                                      Stockpile Wind
                                                                                                                                                                                                                             Concrete Plant -




                                                                                                                                                                                                                                                                                                                                                         Wind Erosion
                                                                                                                                                                                           Product Truck




                                                                                                                                                                                                                                                                                                                                         Erosion
                                                                                                                                                                      Product Truck




                                                                                                                                                                                                                                                                                                Excavator
                                                                                                                                                                                                                                                                              Dozer




                                                                                                                                                                                                                                                                                                                       Truck
        Figure 22 Total Annual Emissions by Pollutant and Scenario


                                                                                          Scenario 1                                                          Scenario 1a                                                             Scenario 2                                                                    Scenario 3

                                          500


                                          450


                                          400


                                          350
           Generated Emissions (t/year)




                                          300


                                          250


                                          200


                                          150


                                          100


                                          50


                                           0
                                                                                                           TSP                                                                                           PM10                                                                                                    PM2.5




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6.4     Wind Erosion Estimation

        Given the large areas of exposed surfaces and high wind speeds typical of the region
        (Section 5.3), particulate emissions associated with wind erosion are likely to occur at the BPQ
        site. The following sections detail the approach for estimating wind erosion emissions from
        stockpiles and exposed surfaces respectively.

6.4.1 Stockpiles

        Annual Wind Erosion from assorted stockpiles at the BPQ was estimated using the following
        equation, as per Section A1.1.15 of the EETMM:

                     s         365 − p   f 
         EF = 1.9 ×   × 365 ×           ×   kg/ha/year TSP
                     1.5       235   15 

        where s= silt content, p = number of days when rainfall is greater than 0.25mm, f= percentage of
        time that wind speed at the mean height of the stockpile is greater than 5.4 m/s. PM10 represents
        50% of TSP, as derived by this equation. It is assumed that 15% of PM10 emissions accounts for
        PM2.5 (WRAP, 2006).

        The suspension of particulate matter typically commences when wind speed approaches 5 m/s
        (SKM, 2005). To reflect this within the modelling process, the annual wind erosion amount has
        been divided proportionally across the hours throughout the year that are greater than 5 m/s.

        AERMOD provides the following default wind speed bands by which the emission rate for a
        source can be varied: 0-1.54, 1.54-3.09, 3.09-5.14, 5.14-8.23, 8.23-10.8 and 10.8+ m/s.

        To derive a wind erosion proportion for each wind speed band, the US EPA’s erosion potential
        equation within Chapter 13, Section 13.2.5 Industrial Wind Erosion (US EPA, 2006), was used to
        estimate the erosion potential for each band. Within this equation, a Particle Threshold Friction
        Velocity of 0.5 m/s (considered highly conservative; fine coal dust is quoted as having a particle
        threshold friction velocity of 0.54 m/s) was assumed. Hourly friction velocity was derived from on-
        site hourly wind speed data and the US EPA’s conversion equation (US EPA, 2006).

        It is considered that by distributing the wind erosion proportionally by wind speed, a more realistic
        approach to estimating likely impacts has been achieved.

        It is noted that as the above emission estimation equation is associated with active stockpiles, it
        is assumed that for any given hour 10% of the total stockpile is actively being handled.

6.4.2 Exposed Surfaces

        In addition to the wind generated emissions from stockpiles about the BPQ site, wind erosion
        from exposed surface areas, including open pit areas and miscellaneous transient stockpiles has
        also been accounted for. A simplified default emission estimation factor of 0.4 kg/ha/hour for
        TSP has been adopted, as per Table 1 of the EETMM. PM10 and PM2.5 ratios of 50% and 15% of
        TSP and PM10 emissions respectively have been assumed. While this estimation method does
        not account for variation in geological parameters (moisture and silt content), it is considered the
        best available method at this time.

        Wind erosion from exposed surfaces is assumed to occur whenever the wind speed exceeds
        5 m/s, as discussed for stockpile emissions, and has been varied accordingly within the
        AERMOD.      The frequency throughout the modelled year for such wind conditions is
        approximately 42%.




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6.5     Open Pit Emissions

        As discussed in Section 6.1, a critical factor in the selection of the AERMOD dispersion model for
        use in this assessment was the ability to simulate the potential retention of emissions generated
        by operations within the extraction area through the use of the Open Pit source type. The current
        depth and materials handling process within the western pit is presented in Figure 23.

        A critical feature of the proposed expansion of the BPQ is the increasing depth of the western and
        eastern extraction pits. The assumed pit parameters for each scenario are listed in Table 10.

        Table 10 Open Pit Depth Assumptions by Scenario

          Modelling Scenario      Pit Bottom (m, AHD)                     Total Pit Depth to Bund Top (m)
                                  Eastern Pit               Western Pit   Eastern Pit       Western Pit
          Scenario 1 / 1a         15 to 20                  20            10                20
          Scenario 2              0 to 14                   -10           20                50
          Scenario 3              -25 to -40                -40           50                80



        The AERMOD user guide (USEPA, 2006) identifies that the Open Pit source calculates an effective
        area source dimension based on the hourly meteorological conditions. It then uses the effective
        area source to calculate the emission impact. Total pit volume is calculated based on the pit area
        and depth. Additionally, total pit area for each scenario was used to derive a regular rectangle
        shape for insertion in the modelling process.

        Figure 23 Current Primary Western Extraction Pit Operations




          Note: Presented bench height approximately 15-20m




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        All operations occurring within the extraction pit, including drilling, blasting, truck loading, wind
        erosion and the component of haul truck movement within the pit, have been incorporated into
        the overall open pit emission rate for each scenario.

        In order to vary the component of wind erosion emissions within the total western pit open pit
        emission rate by wind speed, an hourly emission rate has been derived from the total 24-hour
        emissions for non-wind erosion sources within the pit. This hourly emission rate has then been
        varied by a derived scaling factor during wind erosion hours (i.e. scaling factor of 1 when winds
        below 5m/s, derived scaling factor applied when winds above 5m/s).

        Hanson advised that primary extractive operations would only occur in either the eastern or
        western pit at any given time. For worst case emission estimations, it has been assumed that
        extractive operations are continuously in the western pit at all times. For each scenario, the entire
        eastern pit area has been configured for wind erosion emissions.

        Finally, it is noted that the proposed upgrade to the Processing Plant will involve the relocation to
        the centre of the BPQ extraction area, as shown in Figure 17 and Figure 18. The elevation of the
        Processing Plant will be approximately 20 m below the peaks of the site boundary terrain,
        consequently it is considered likely that a degree of pit retention of emissions from the new
        location will occur. However, given the difference in pit depth with the eastern and western pits in
        Scenario 2 and 3 and the technical constraints of the Open Pit source type, the Processing Plant
        operations have be modelled as individual surface sources.

6.6     Western Bund Construction Operations

        It is understood that part of the upgrade works at the BPQ will involve the relocation of the
        existing western amenity bund from the current location to a position closer to the western
        boundary of the site. While such construction operations will occur for a relatively short period,
        Scenario 1a has been configured and modelled to determine the potential impact on the
        surrounding receptors.

        The following assumptions have been incorporated into the western bund construction modelling:
             Activities will involve an excavator removing existing bund material and loading to haul truck,
             haul truck movement to western boundary and shaping of hauled material by dozer.
             It is assumed construction will take 12 months to complete, with operations 12 hours per
             day.
             Total material moved was estimated based on an area of 49,000 m2, height of 5 m and
             general material density of 2 t/m3.
             Total area of bund construction was assumed for wind erosion purposes.

6.7     Concrete Plant, Wash Plant and Mobile Screen Operations

        The periodic operation of a concrete plant at the BPQ is incorporated into both current and future
        modelling scenarios. Information provided by Hanson has indicated that the concrete plant
        operations are very low in intensity. Operations associated with the concrete plant have been
        limited to one front end loader handling materials and the delivery of aggregate to the plant.

        A fixed wash plant and mobile screen are also operated periodically at the BPQ site. The wash
        plant is a wet process and is expected to generate minimal emissions. The mobile screen
        operates periodically, typically 5% of total operational hours. Consequently, both processes have
        not been considered further within this assessment.




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6.8     Product Distribution

        Final sales material is distributed continuously from the BPQ by two principal methods:
             Ship to Sydney Depot – typically 3 trips per week with 300,000 t per ship load; and
             Road Trucks – typically semi with dog trailer – maximum load capacity of 40 t.

        With the expansion of the operations at BPQ, Hanson will look to increase the amount of
        materials transported by ship to approximately 600,000 t per ship load. Ship loading is
        conducted via a transfer point to the north of the existing processing plant and illustrated in
        Figure 24.

        Figure 24 Ship Loading of Product Materials at BPQ




          Image Source: Hanson 2009




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6.9     Emission Control Factors

        Control of emissions is currently implemented at the BPQ through the use of water spraying,
        principally associated with unsealed internal roads and stockpiles, and the enclosure of crushers
        etc at the processing plant. Similar controls are also to be implemented during future expanded
        operations, with increased efficiency expected due to updated plant technology compared with
        those currently installed.

        Calculated and assumed default emission control factors applied in the dispersion modelling
        process are presented in Table 11.

        Table 11       Emission Control Factors

          Mitigation       Process           Control Value                            Units    Source         Variables
          Measure
          Water
          Spraying
                           Haul routes 1
                                             CF = 100 −
                                                             (0.8 × P × d × t )       %        Cowherd
                                                                                               et al (1988)
                                                                                                              P=0.16 (BoM)
                                                                                                              d = Varies by Scenario
                                                                       I                       Control of
                                                                                                              I = 1.1 (Hanson)2
                                                                                               Open
                                             Where:                                                           t = 0.75 (Hanson)
                                                                                               Fugitive
                                             P=Potential Average Daytime                       Dust
                                             Evaporation Rate (mm/hr)                          Sources
                                             d = Daily average truck movements
                                             I = Water Application Intensity (L/m2)
                                             t = Time between application (hours).
                           Stockpiles        50                                       %        NPI
                                                                                               EETMM
                                                                                               Table 3
          Enclosure/       Crushing,         100                                      %        NPI
          Underground      Stockpile                                                           EETMM
          Conveyor         Transfers                                                           Table 3
          loading
          Note 1: Control Factor varies by haul route (Pit and Product Transportation) and scenario.
          Note 2: Intensity derived from Hanson provided description of spraying operations.




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7       DISPERSION MODELLING RESULTS

        Results of the dispersion model predictions for current and future operations at the BPQ are
        presented in the following sections.

7.1     PM10 (24-hour and Annual Average)

7.1.1   24-hour Average PM10

        The maximum predicted incremental increase in 24-hour average PM10 by modelling scenario is
        presented in Table 12.

        Table 12 Maximum Predicted 24-hour Average Incremental PM10 Concentrations

          Receptor ID           Maximum Predicted 24-hour Incremental PM10 Concentrations (µg/m3) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a   Scenario 2          Scenario 3
          R1                    3.5                     4.0           5.1                7.0
          R2                    3.0                     4.2           5.3                6.3
          R3                    2.7                     3.2           4.2                4.9
          R4                    3.5                     3.9           5.1                5.6
          R5                    5.4                     6.6           8.8                10.5
          R6                    8.0                     11.4          13.5               15.9
          R7                    9.9                     16.2          14.2               15.9
          R8                    5.9                     7.1           9.0                8.5
          R9                    4.0                     5.0           5.4                6.0
          R10                   2.7                     3.2           4.2                4.2
          R11                   2.5                     3.1           4.5                5.0
          R12                   1.9                     1.9           3.1                3.3
          R13                   2.7                     2.8           3.8                5.9
          R14                   12.6                    27.2          30.2               31.1
          R15                   12.6                    12.6          20.6               36.0



        As discussed in Section 4.3 the DECCW state, in Section 5.1.1 of the Approved Methods, that
        individual 24-hour average predicted PM10 concentration should be paired in time with the
        corresponding 24-hour concentration within the adopted 2008 monitoring dataset to obtain total
        impact at each receptor. Table 13 presents the results of this contemporaneous analysis.

        As can be seen from the results presented in Table 13, the DECCW contemporaneous analysis
        approach calculates exceedance of the 50 µg/m3 assessment criterion at R15 during Scenario 2
        and at R14 and R15 during Scenario 3. This indicates that the potential for cumulative
        exceedance of the 24-hour average PM10 assessment criterion does exist during future expanded
        operations of the BPQ.

        However, in order to understand the likelihood of an exceedance occurring, the frequency
        distribution of predicted 24-hour average incremental PM10 concentrations is presented in
        Figure 25.




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        Table 13 Maximum Contemporaneous 24-hour Average PM10 Concentrations

          Receptor ID         Maximum Predicted 24-hour Incremental PM10 Concentrations (µg/m3) by
                              Modelling Scenario (Background Concentration in Brackets)
                              Scenario 1               Scenario 1a      Scenario 2        Scenario 3
          R1                  45.8    (45.1)           45.9    (45.1)   46.9   (45.1)     47.4     (45.1)
          R2                  45.1    (45.1)           45.2    (45.1)   45.2   (45.1)     45.2     (45.1)
          R3                  45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R4                  45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R5                  45.1    (45.1)           45.1    (45.1)   45.2   (45.1)     45.2     (45.1)
          R6                  45.1    (45.1)           45.1    (45.1)   45.2   (45.1)     45.2     (45.1)
          R7                  45.1    (45.1)           45.1    (45.1)   45.2   (45.1)     45.3     (45.1)
          R8                  45.1    (45.1)           45.1    (45.1)   45.2   (45.1)     45.2     (45.1)
          R9                  45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R10                 45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R11                 45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R12                 45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R13                 45.1    (45.1)           45.1    (45.1)   45.1   (45.1)     45.2     (45.1)
          R14                 46.1    (45.1)           47.2    (45.1)   48.8   (45.1)     55.1     (30.6)
          R15                 46.5    (45.1)           46.5    (45.1)   51.4   (45.1)     57.3     (21.3)
          Note: Exceedances marked in Grey

        It is clear from the data presented in Figure 25 that the predicted incremental increase likely to be
        associated with each modelled scenario of current and future BPQ operations at all surrounding
        sensitive receptor locations will be low (i.e. less than 5 µg/m3). The most likely affected sensitive
        receptor locations are R14 and R15.

        The percentage of time that concentrations are predicted to 10 µg/m3 or less at each receptor
        during each modelling scenario is presented in Table 14. It is clear that in the absolute worst
        case, incremental 24-hour average PM10 concentrations attributable to operations at the BPQ are
        predicted to be less than or equal to 10 µg/m3 71% of the modelling period at receptor R14
        during Scenario 1a operations.

        When the frequency distribution of ambient PM10 concentrations recorded at the two DECCW
        Albion Park air quality monitoring stations is taken into consideration (see Section 4.2.1), the
        probability of a 24-hour average PM10 increment greater than 10 µg/m3 coinciding with an ambient
        PM10 concentration greater than 25 µg/m3 (approximately 14% chance) is approximately 10% (at
        R14 during Scenario 1a) or less at all sensitive receptors and all modelling scenarios.

        On the basis of this analysis, it is considered that the potential for adverse impacts from BPQ
        operational emissions on the surrounding environment in relation to 24-hour average PM10
        concentrations is low.

        Finally, it is reconfirmed that R14 and R15 are the proposed Shell Cove playing fields and The
        Shallows Coastal Reserve Carpark. As both of these locations are not residential, it is considered
        that exposure to 24-hour average concentrations at either of these locations is unlikely.

        A contour plot illustrating the distribution of maximum predicted incremental 24-hour average
        PM10 concentrations for each modelling scenario is presented in Appendix G.




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        Figure 25 Frequency Distribution of Predicted Incremental 24-hour Average PM10

          Scenario 1
            100%



             90%



             80%



             70%



             60%
                                                                                                                           0-5
                                                                                                                           5-10
             50%                                                                                                           10-15
                                                                                                                           15-20
                                                                                                                           20-25
             40%                                                                                                           25+


             30%



             20%



             10%



             0%
                   R01     R02      R03    R04    R05    R06    R07      R08   R09   R10   R11   R12   R13    R14    R15



          Scenario 1a

            100%



             90%



             80%


             70%



             60%
                                                                                                                           0-5
                                                                                                                           5-10
             50%                                                                                                           10-15
                                                                                                                           15-20
                                                                                                                           20-25
             40%
                                                                                                                           25+


             30%



             20%


             10%



              0%
                   R01     R02       R03   R04    R05    R06    R07      R08   R09   R10   R11   R12   R13   R14    R15




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          Scenario 2

           100%



            90%



            80%



            70%



            60%                                                                                                            0-5
                                                                                                                           5-10
                                                                                                                           10-15
            50%
                                                                                                                           15-20
                                                                                                                           20-25
            40%                                                                                                            25+



            30%



            20%



            10%



             0%
                  R01      R02      R03    R04    R05    R06    R07      R08   R09   R10   R11   R12   R13   R14   R15



          Scenario 3

           100%



            90%



            80%



            70%



            60%                                                                                                            0-5
                                                                                                                           5-10
                                                                                                                           10-15
            50%
                                                                                                                           15-20
                                                                                                                           20-25
            40%                                                                                                            25+



            30%



            20%



            10%



             0%
                  R01      R02      R03    R04    R05    R06    R07      R08   R09   R10   R11   R12   R13   R14   R15




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        Table 14 Percentage of Predicted 24-hour Average Incremental PM10 Concentrations
                 less than 10 µg/m3

          Receptor ID           Scenario 1              Scenario 1a    Scenario 2          Scenario 3
          R1                    100%                    100%           100%                100%
          R2                    100%                    100%           100%                100%
          R3                    100%                    100%           100%                100%
          R4                    100%                    100%           100%                100%
          R5                    100%                    100%           100%                100%
          R6                    100%                    99.9%          99.9%               99.9%
          R7                    100%                    99.9%          99.9%               99.9%
          R8                    100%                    100%           100%                100%
          R9                    100%                    100%           100%                100%
          R10                   100%                    100%           100%                100%
          R11                   100%                    100%           100%                100%
          R12                   100%                    100%           100%                100%
          R13                   100%                    100%           100%                100%
          R14                   99%                     71%            93%                 88%
          R15                   98%                     98%            86%                 78%



7.1.2 Annual Average PM10

        The predicted incremental increase in annual average PM10 by modelling scenario is presented in
        Table 15.

        Table 15 Predicted Annual Average Incremental PM10 Concentrations

          Receptor ID           Predicted Annual Average Incremental PM10 Concentrations (µg/m3) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a    Scenario 2          Scenario 3
          R1                    0.4                     0.5            0.5                 0.7
          R2                    0.2                     0.3            0.4                 0.5
          R3                    0.2                     0.2            0.3                 0.4
          R4                    0.1                     0.2            0.2                 0.3
          R5                    0.1                     0.2            0.3                 0.4
          R6                    0.2                     0.4            0.4                 0.6
          R7                    0.2                     0.4            0.4                 0.6
          R8                    0.1                     0.2            0.2                 0.3
          R9                    0.1                     0.1            0.2                 0.3
          R10                   0.1                     0.1            0.1                 0.2
          R11                   0.1                     0.1            0.1                 0.2
          R12                   0.1                     0.1            0.1                 0.2
          R13                   0.1                     0.1            0.2                 0.3
          R14                   1.4                     5.9            3.3                 4.3
          R15                   2.5                     2.8            4.1                 5.5



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        As can be seen from the results in Table 15, the incremental increase in annual average PM10 is
        predicted to be less than 5.9 µg/m3 at all sensitive receptor locations across all operational
        scenarios. When the adopted ambient annual average PM10 concentration, 14.8 µg/m3 as per
        Table 6, is applied to these model predictions, the total annual average PM10 is predicted to be
        less than 20.7 µg/m3 at all locations. Based on the DECCW assessment criterion for annual
        average PM10, 30 µg/m3, emissions of PM10 from the BPQ are not predicted to adversely impact
        upon the surrounding environment.

        A contour plot illustrating the distribution of predicted incremental annual average PM10
        concentrations for each modelling scenario is presented in Appendix H.

7.2     PM2.5 (24-hour and Annual Average)

7.2.1 24-hour Average PM2.5

        The maximum predicted incremental increase in 24-hour average PM2.5 by modelling scenario is
        presented in Table 16.

        Table 16 Maximum Predicted 24-hour Average Incremental PM2.5 Concentrations

          Receptor ID           Maximum Predicted 24-hour Incremental PM2.5 Concentrations (µg/m3) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a    Scenario 2         Scenario 3
          R1                    0.5                     0.6            0.7                1.0
          R2                    0.4                     0.6            0.8                0.9
          R3                    0.4                     0.5            0.6                0.7
          R4                    0.5                     0.6            0.7                0.8
          R5                    0.8                     1.0            1.3                1.5
          R6                    1.2                     1.7            1.9                2.2
          R7                    1.4                     2.4            2.1                2.2
          R8                    0.9                     1.0            1.3                1.2
          R9                    0.6                     0.7            0.8                0.8
          R10                   0.4                     0.5            0.6                0.6
          R11                   0.4                     0.5            0.7                0.7
          R12                   0.3                     0.3            0.4                0.4
          R13                   0.4                     0.4            0.5                0.8
          R14                   1.8                     4.0            4.3                4.3
          R15                   1.8                     1.8            2.9                4.8



        As discussed in Section 4.3, the DECCW state, in Section 5.1.1 of the Approved Methods, that
        individual 24-hour average predicted PM2.5 concentration should be paired in time with the
        corresponding 24-hour concentration within the adopted 2008 monitoring dataset to obtain total
        impact at each receptor. Table 17 presents the results of this contemporaneous analysis.

        As can be seen from the results presented in Table 17, the DECCW contemporaneous analysis
        approach calculates no exceedances of the 25 µg/m3 assessment criterion at any receptor for any
        scenario. Comparison of the magnitude of maximum predicted incremental increase in PM2.5 with
        the frequency distribution of ambient PM2.5 concentrations recorded at Wollongong (Figure 8)
        indicates that the potential for adverse impact upon the surrounding environment is minimal.


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        Table 17 Maximum Contemporaneous 24-hour Average PM2.5 Concentrations

          Receptor ID         Maximum Predicted 24-hour Incremental PM10 Concentrations (µg/m3) by
                              Modelling Scenario (Background Concentration in Brackets)
                              Scenario 1               Scenario 1a      Scenario 2         Scenario 3
          R1                  15.7     (15.7)          15.9    (15.7)   15.7    (15.7)     15.7    (15.7)
          R2                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R3                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.8    (15.7)
          R4                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.8    (15.7)
          R5                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R6                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.8    (15.7)
          R7                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R8                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R9                  15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R10                 15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R11                 15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R12                 15.7     (15.7)          15.7    (15.7)   15.7    (15.7)     15.7    (15.7)
          R13                 15.7     (15.7)          15.8    (15.7)   15.7    (15.7)     15.7    (15.7)
          R14                 16.1     (15.7)          18.1    (15.7)   16.4    (15.7)     16.6    (15.7)
          R15                 17.4     (15.7)          17.4    (15.7)   18.1    (15.7)     18.0    (15.7)
          Note: Exceedances marked in grey

        A contour plot illustrating the distribution of maximum predicted incremental 24-hour average
        PM2.5 concentrations for each modelling scenario is presented in Appendix I.

7.2.2 Annual Average PM2.5

        The predicted incremental increase in annual average PM2.5 by modelling scenario is presented in
        Table 18.

        Table 18 Predicted Annual Average Incremental PM2.5 Concentrations

          Receptor ID           Predicted Annual Average Incremental PM2.5 Concentrations (µg/m3) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a      Scenario 2        Scenario 3
          R1                    0.1                     0.1              0.1               0.1
          R2                    <0.1                    <0.1             0.1               0.1
          R3                    <0.1                    <0.1             <0.1              <0.1
          R4                    <0.1                    <0.1             <0.1              <0.1
          R5                    <0.1                    <0.1             <0.1              0.1
          R6                    <0.1                    0.1              0.1               0.1
          R7                    <0.1                    0.1              0.1               0.1
          R8                    <0.1                    <0.1             <0.1              <0.1
          R9                    <0.1                    <0.1             <0.1              <0.1
          R10                   <0.1                    <0.1             <0.1              <0.1
          R11                   <0.1                    <0.1             <0.1              <0.1
          R12                   <0.1                    <0.1             <0.1              <0.1
          R13                   <0.1                    <0.1             <0.1              <0.1



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          R14                   0.2                     0.9            0.5                0.6
          R15                   0.4                     0.4            0.6                0.7



        As can be seen from the results in Table 18, the incremental increase in annual average PM2.5 is
        predicted to be less than 0.9 µg/m3 at all sensitive receptor locations across all operational
        scenarios. When the adopted ambient annual average PM2.5 concentration, 5.6 µg/m3 as per
        Table 6, is applied to these model predictions, the total annual average PM2.5 is predicted to be
        less than 6.5 µg/m3 at all locations. Based on the NEPM assessment criterion for annual average
        PM2.5 of 8 µg/m3, emissions of PM2.5 from the BPQ are not predicted to adversely impact upon the
        surrounding environment.

        A contour plot illustrating the distribution of predicted incremental annual average PM2.5
        concentrations for each modelling scenario is presented in Appendix J.

7.3     Annual Average TSP

        The predicted incremental increase in annual average TSP by modelling scenario is presented in
        Table 19.

        Table 19 Predicted Annual Average Incremental TSP Concentrations

          Receptor ID           Predicted Annual Average Incremental TSP Concentrations (µg/m3) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a    Scenario 2         Scenario 3
          R1                    0.8                     1.3            1.3                1.9
          R2                    0.5                     0.9            0.9                1.3
          R3                    0.4                     0.6            0.7                1.0
          R4                    0.3                     0.5            0.6                0.9
          R5                    0.4                     0.6            0.7                1.1
          R6                    0.5                     1.1            1.2                1.8
          R7                    0.5                     1.0            1.1                1.8
          R8                    0.3                     0.5            0.6                1.0
          R9                    0.2                     0.4            0.4                0.8
          R10                   0.2                     0.3            0.3                0.6
          R11                   0.2                     0.3            0.4                0.7
          R12                   0.2                     0.3            0.3                0.6
          R13                   0.2                     0.5            0.4                0.7
          R14                   4.7                     22.1           10.7               15.3
          R15                   6.6                     7.4            11.5               16.9



        As can be seen from the results in Table 19, the incremental increase in annual average TSP is
        predicted to be less than 22.1 µg/m3 at all sensitive receptor locations across all operational
        scenarios. When the adopted ambient annual average TSP concentration, 40.9 µg/m3 as per
        Table 6, is applied to these model predictions, the total annual average TSP is predicted to be
        less than 63.0 µg/m3 at all locations. Based on the DECCW assessment criterion for annual
        average TSP of 90 µg/m3, emissions of TSP from the BPQ are not predicted to adversely impact
        upon the surrounding environment.




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        A contour plot illustrating the distribution of predicted incremental annual average TSP
        concentrations for each modelling scenario is presented in Appendix K.

7.4     Monthly Average Dust Deposition

        The predicted incremental increase in monthly average dust deposition by modelling scenario is
        presented in Table 20.

        Table 20 Predicted Monthly Average Incremental TSP Concentrations

          Receptor ID           Predicted Monthly Average Incremental Dust Deposition Levels (g/m2/month) by
                                Modelling Scenario
                                Scenario 1              Scenario 1a    Scenario 2          Scenario 3
          R1                    0.1                     0.2            0.1                 0.2
          R2                    <0.1                    0.1            0.1                 0.1
          R3                    <0.1                    0.1            0.1                 0.1
          R4                    <0.1                    <0.1           <0.1                0.1
          R5                    <0.1                    <0.1           0.1                 0.1
          R6                    <0.1                    0.1            0.1                 0.1
          R7                    <0.1                    0.1            0.1                 0.1
          R8                    <0.1                    <0.1           <0.1                0.1
          R9                    <0.1                    <0.1           <0.1                0.1
          R10                   <0.1                    <0.1           <0.1                <0.1
          R11                   <0.1                    <0.1           <0.1                <0.1
          R12                   <0.1                    <0.1           <0.1                <0.1
          R13                   <0.1                    <0.1           <0.1                <0.1
          R14                   0.6                     3.6            1.2                 1.7
          R15                   0.8                     0.9            1.3                 1.9
          Note: Exceedances marked in grey

        As can be seen from the results in Table 20, the incremental increase in monthly average dust
        deposition is predicted to be less than 3.6 µg/m3 at all sensitive receptor locations across all
        operational scenarios.

        The assessment criterion for dust deposition, as listed in Table 2, is a maximum incremental
        increase of 2 g/m2/month. Consequently, the predicted dust deposition level at receptor R14
        during Scenario 1a is in exceedance of the DECCW criterion.

        The modelling results therefore indicate that the operations at the BPQ have the potential to
        impact upon the surrounding environment in relation to dust deposition. However, review of
        source configuration indicates that the likely emission sources influencing the predicted
        exceedance at receptor R14 are those associated with the bund construction. The short term
        nature of the bund construction activities, along with the predicted dust deposition levels
        associated with the future expanded BPQ operations suggest that the potential to exceed the
        dust deposition goal would not be experienced long term.

        It is reinforced that dust deposition is not a health-related impact, rather it is nuisance-related.
        Long term, monthly, exposure to dust fallout at receptor R14, the proposed Shell Cove playing
        fields, it not considered likely.

        A contour plot illustrating the distribution of predicted incremental monthly average dust
        deposition levels for each modelling scenario is presented in Appendix L.


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8       EMISSION MITIGATION MEASURES

        A number of particulate matter emission control techniques are currently applied at the BPQ and
        have been factored into the dispersion modelling process where practicable. These include:
             Routine water spraying of haul routes and unsealed surfaces;
             Water spraying of stockpiles and stockpile transfer points;
             Full and partial enclosure of conveyors;
             Underground loading of conveyors from stockpiles; and
             Enclosure of crushers.

        Current water spraying intensity of unsealed haul routes was calculated to be approximately
        1 L/m2, based on the frequency and amount of water applied per hour. Increasing the level of
        water spraying can effectively reduce the amount of particulate matter emissions generated by
        haul truck movement. Such an increase is obviously dependant on water availability.

        The proposed upgrade to the Processing Plant is likely to achieve greater levels of particulate
        matter control due to the installation of improved technologies. Additionally, the relocation of the
        Processing Plant to within the centre of the BPQ, a more protected location than the current
        siting, will assist in minimising the dispersion extent of emissions from associated operations.

        Further controls that can be adhered to with future operations include:
             Maintaining control of the state of trucks leaving the BPQ, minimising truck out of materials
             which may lead to enhanced paved road silt loading. Maintenance and application of
             existing spray bar will assist in this matter.
             Minimise the amount of exposed surfaces and stockpiles about the more exposed areas of
             the BPQ site. Revegetation of the new amenity bunds will minimise wind erosion from these
             areas.
             Ensure that the regular maintenance of BPQ haul routes, both unsealed and sealed, is
             continued.




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9       GREENHOUSE GAS ASSESSMENT

        A quantitative greenhouse gas assessment has been undertaken to estimate potential
        greenhouse gas (GHG) emissions associated with the Project. The Department of Climate
        Change 2009 document, the National Greenhouse Accounts Factors (the NGA Factors) will be
        used to estimate GHG emissions from the BPQ.

        In order to derive future fuel and electricity consumption, current consumption rates have been
        scaled up by deriving the percentage increase in annual production rate for each future scenario
        (as per Section 6.2) over current operations (1.5 Mt).

9.1     Direct and Indirect Emissions (Emission Scopes)

        The NGA Factors (DCC, 2009a) defines two types of GHG emissions:
          Direct emissions are produced from sources within the boundary of an organisation and as a result of
          the organisation’s activities.
          Indirect emissions are emission generated in the wider economy as a consequence of an
          organisation’s activities (particularly from its demand for goods and services), but which are physically
          produced by the activities of another organisation.

        The NGA Factors identifies three ‘scopes’ of emissions for GHG accounting and reporting
        purposes, defined as follows:

          •    Direct (or point-source) emission factors give the kilograms of carbon dioxide equivalent (CO2-e)
               emitted per unit of activity at the point of emission release (i.e. fuel use, energy use, manufacturing
               process activity, mining activity, on-site waste disposal, etc.). These factors are used to calculate
               scope 1 emissions.
          •    Indirect emission factors are used to calculate scope 2 emissions from the generation of the
               electricity purchased and consumed by an organisation as kilograms of CO2-e per unit of
               electricity consumed. Scope 2 emissions are physically produced by the burning of fuels (coal,
               natural gas, etc.) at the power station.
          •    Various emission factors can be used to calculate scope 3 emissions. For ease of use, this
               workbook reports specific ‘scope 3’ emission factors for organisations that:
               (a) burn fossil fuels: to estimate their indirect emissions attributable to the extraction, production
                   and transport of those fuels; or
               (b) consume purchased electricity: to estimate their indirect emissions from the extraction,
                   production and transport of fuel burned at generation and the indirect emissions attributable to
                   the electricity lost in delivery in the T&D network.

9.2     Greenhouse Gas Calculation Methodology

        Quantification of potential BPQ emissions has been undertaken in relation to both Carbon Dioxide
        (CO2) and other non-CO2 GHG emissions.

        For comparative purposes, non-CO2 GHG are awarded a “CO2-equivalence” based on their
        contribution to the enhancement of the greenhouse effect. The CO2-equivalence (CO2-e) of a gas
        is calculated using an index called the Global Warming Potential (GWP). The GWPs for a variety
        of non-CO2 GHG are contained within the Intergovernmental Panel on Climate Change (IPCC)
        document Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories.

        The GWPs of relevance to this assessment are:
              Methane (CH4): GWP of 21 (21 times more effective as a GHG than CO2); and
              Nitrous Oxide (N2O): GWP of 310 (310 times more effective as a GHG than CO2).



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        The short-lived gases such as carbon monoxide (CO), nitrogen dioxide (NO2), and non-methane
        volatile organic compounds (NMVOCs) vary spatially and it is consequently difficult to quantify
        their global radiative forcing impacts. For this reason, GWP values are generally not attributed to
        these gases nor have they been considered further as part of this assessment.

        The GHG Emissions associated with the BPQ have been assessed in terms of direct (Scope 1)
        emission potential, indirect (Scope 2) emission potential and significant upstream/downstream
        (Scope 3) emission potential.

        A summary of the potential project-related GHG emission sources is provided in Table 21.

        Table 21 Summary of Potential Project Greenhouse Gas Emissions

              Project                Direct Emissions                                     Indirect Emissions
            Component
                                            Scope 1                           Scope 2                              Scope 3
          Diesel                Emissions from the                                NA                    Estimated emissions
                                combustion of diesel at the                                             attributable to the extraction,
                                BPQ – mobile equipment                                                  production and transport of
                                and shipping of product                                                 diesel consumed at the
                                materials                                                               BPQ.
          Electricity                         NA                   Emissions from the                   Estimated emissions from
                                                                   generation of purchased              the extraction, production
                                                                   electricity at the BPQ.              and transport of fuel burned
                                                                                                        for the generation of
                                                                                                        electricity consumed at the
                                                                                                        BPQ and the electricity lost
                                                                                                        in delivery in the
                                                                                                        transmission and distribution
                                                                                                        network.
          Road Product                        NA                                  NA                    Emissions from the
          Transport                                                                                     combustion of diesel
                                                                                                        consumed by trucking
                                                                                                        contractors transporting
                                                                                                        product from BPQ.
          Note: Use of explosives does result in GHG emissions, although the NGA Factors Workbook does not include an
                   emission factor for explosive use. Additionally, the infrequent nature of blasting will not result in significant
                   emissions being generated from this source

9.2.1 Scope 1: Direct Emissions

        Scope 1 GHG emissions attributable to diesel relate to the use of mobile plant on site and the
        Hanson-owned shipping of materials to Sydney.

        The primary fuel source for the vehicles operating at the BPQ would be diesel. Figures provided
        by Hanson have current diesel consumption at the BPQ at 900 kL/year for mobile equipment and
        460 kL/year for the ship. Total annual diesel consumption for current operations is approximately
        1,360 kL/year.

        Annual Scope 1 emissions of CO2 and other GHG from diesel combustion have been estimated
        using emission factors contained in Table 4 of the NGA Factors. The calculated Scope 1 diesel
        combustion related emissions for current and future scenarios are presented in Table 22.

        Table 22 Scope 1 Diesel Combustion Related GHG Emissions

          Scenario                Consumption Rate           GHG Emissions (t CO2-e / year)                        Total Emissions
                                  (kL/year)                                                                        (t CO2-e year)
                                                             CO2               CH4               N2O
          1.5 Mtpa                1,569.2                    4,191.6           12.1              30.3              4,234.0



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          2.4 Mtpa            2,510.8                   6,706.6    19.4       48.5           6,774.4
          4 Mtpa              4,184.6                   11,177.6   32.3       80.8           11,290.7



9.2.2 Scope 2: Indirect Emissions

        Scope 2 GHG emissions associated with the BPQ relate to the consumption of purchased
        electricity. The NGA Factors provides Scope 2 emission factors for the consumption of
        purchased electricity by each state of Australia.

        State emission factors are used because electricity flows between states are significantly
        constrained by the capacity of the inter-state interconnectors and in some cases there are no
        interconnections.

        The emission factor for Scope 2 (0.89 kg CO2-e/kWh as per Table 5 of the NGA Factors) covers
        emissions from fuel combustion at power stations associated with the consumption of purchased
        electricity in NSW.

        Annual Scope 2 emissions of CO2-equivalents from the consumption of purchased electricity for
        current and future scenarios are presented in Table 23.

        Table 23 Scope 2 GHG Emissions – Purchased Electricity

          Scenario                              Consumption Rate (kWh/year)   Total Emissions (t CO2-e year)
          1.5 Mtpa                              4,000,000                     3,560.0
          2.4 Mtpa                              6,400,000                     5,696.0
          4 Mtpa                                10,666,667                    9,493.3



9.2.3 Scope 3: Other Indirect Emissions

        Transport via Road Trucks and Employee Travel

        GHG emissions associated with the distribution of product material from the BPQ by third party
        road trucks and the travel of employees to and from the BPQ need to be calculated and
        accounted for under Scope 3 emissions.

        Annual truck movements (product and cement plant) and employee vehicle movements have
        been estimated based on traffic numbers provided by Hanson and the following broad
        assumptions:
             Car fuel consumption rate of 10 L/100km;
             Average employee round trip distance of 20 km;
             Truck vehicle consumption rate of 30 L\100km (from VTT, 2005); and
             Average truck delivery round trip distance of 80 km.

        The annual emissions of CO2 and other GHG from this source have been estimated using Table 4
        of the NGA Factors. It has been assumed that an energy content of 38.6 MJ/L for diesel is
        applicable for trucks and 34.2 MJ/L for petrol is applicable for employee travel (DCC, 2009a). The
        Scope 3 emission factor for liquid fuel consumption (5.3 kg CO2-e/GJ, as per Table 38 of the NGA
        Factors) has been applied to calculate total GHG emissions. Total annual Scope 3 GHG
        emissions related with product transport via road trucks and miscellaneous employee travel are
        presented in Table 24.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                                  Page 53
        Table 24 Scope 3 GHG Emissions – Product Transportation and Employee Travel

          Scenario                    Consumption Rate (L/year)                             Total CO2-e Emissions
                                                                                            (t/year)
                                      Diesel (Trucks)              Petrol (Employee Cars)
          1.5 Mtpa                    1,121.3                      33.6                     235.5
          2.4 Mtpa                    1,585.6                      53.7                     334.1
          4 Mtpa                      2,496.6                      89.5                     527.0



        Extraction, Production and Transport of Fuel Burned for the Generation of Electricity and
        Electricity Consumed in the Transmission and Distribution System

        The NGA Factors provides Scope 3 emission factors for the consumption of purchased electricity
        by each state. State emission factors are used because electricity flows between states are
        significantly constrained by the capacity of the inter-state interconnectors and in some cases
        there are no interconnections.

        The NSW Scope 3 emission factor (0.18 kg CO2-e/kW.h) covers both the emissions from the
        extraction, production and transport of fuels used in the production of the purchased electricity
        (ie. fugitive emissions and stationary and mobile fuel combustion emissions) and also the
        emissions associated with the electricity lost in transmission and distribution on route to the
        customer.

        Annual Scope 3 emissions of CO2-equivilants from the consumption of purchased electricity for
        current and future scenarios are presented in Table 25.

        Table 25 Scope 3 GHG Emissions – Purchased Electricity

          Scenario                              Consumption Rate (kWh/year)        Total Emissions (t CO2-e year)
          1.5 Mtpa                              4,000,000                          720
          2.4 Mtpa                              6,400,000                          1,152
          4 Mtpa                                10,666,667                         1,920



        Extraction, Production and Transport of Diesel Consumed at the Project

        Scope 3 GHG emissions attributable to diesel used at the BPQ relate to its extraction, production
        and transport. These emissions are associated with the diesel consumed by mobile equipment
        and ship and are separate from the emissions calculated in Table 24

        The Scope 3 emission factor for liquid fuel consumption (5.3 kg CO2-e/GJ, as per Table 38 of the
        NGA Factors) has been applied to calculate total GHG emissions. The calculated Scope 3 diesel
        combustion related emissions for current and future scenarios are presented in Table 26.

        Table 26 Scope 3 Diesel Combustion Related GHG Emissions

          Scenario                              Consumption Rate (kL/year)         Total Emissions (t CO2-e year)
          1.5 Mtpa                              1,360.0                            7.2
          2.4 Mtpa                              2,176.0                            11.5
          4 Mtpa                                3,626.7                            19.2




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9.3     Greenhouse Gas Emissions Summary

        Calculated Scope 1, Scope 2 and Scope 3 emissions of greenhouse gas resulting from the
        emissions sources outlined above are summarised in Table 27.

        Table 27 Total GHG Emissions by Project Scenario

          Scenario              GHG Emissions by Scope (t CO2-e/year)                       Total Emissions
                                                                                            (t CO2-e/year)
                                Scope 1                 Scope 2         Scope 3
          1.5 Mtpa              3,669.5                 3,560.0         962.7               8,192.2
          2.4 Mtpa              5,871.2                 5,696.0         1,497.6             13,064.8
          4 Mtpa                9,785.3                 9,493.3         2,466.2             21,744.8



        Calculating GHG emissions for the life of the BPQ is difficult given the variable timing of extraction
        staging and production rates. In order to derive an indicative value for total project life GHG
        emissions, the following broad assumptions are made:
             25 year Project life; and
             5 years 1.5 Mtpa, 10 years 2.4 Mtpa and 10 years 4 Mtpa.

        The application of this project staging returns total GHG emissions of approximately 389,100 t.
        However, little credence should be placed on this value given the variable nature of project life
        and future operations.

        A comparison of the annual Scope 1 GHG emissions from the BPQ against published net total
        GHG emissions for NSW and Australia during 2007 has also been conducted. Net emissions of
        162.7 Mt CO2-e and 597.2 Mt CO2-e were reported for 2007 for NSW and Australia respectively
        by the DCC (2009b). Scope 1 emissions from the BPQ would represent between approximately
        0.002 % and 0.006% of total NSW emissions and between approximately 0.001% and 0.004% of
        total Australian emissions.

        GHG emissions minimisation can be achieved through the reduction in consumption of diesel
        fuel, through the refinement of pit haulage distances, mobile equipment operational time, etc, and
        purchased electricity. It is considered that the installation and operation of more efficient
        technologies associated with future operations at the BPQ site will assist in achieving GHG
        emission savings over current practices. It is stated that no accounting for potential reductions in
        energy consumption attributable to the proposed new processing plant over the existing
        processing plant, which formed the basis of GHG calculations in this assessment, have been
        made.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                                 Page 55
10      CONCLUSIONS

        The potential air quality impacts associated with the proposed expansion of Hanson’s Bass Point
        Quarry have been assessed within this report. Dispersion modelling has been conducted utilising
        the USEPA regulatory model AERMOD for emissions of TSP, PM10, PM2.5 and dust deposition.

        Particulate emissions were estimated utilising published emission literature from the National
        Pollution Inventory and USEPA AP-42. Four modelling scenarios were configured accounting for
        various stages of extractive operations at the Bass Point Quarry. Modelling scenarios were
        configured to reflect a worst-case operational 24-hour period continuously throughout a calendar
        year.

        Dispersion meteorology was accounted for through the compilation of onsite and Bureau of
        Meteorology weather stations. Existing air quality was described largely through historic NSW
        Department of Environment, Climate Change and Water monitoring data for the Illawarra region.

        The results from the dispersion modelling conducted indicate that for emissions of TSP, PM10,
        PM2.5 and dust deposition, there is unlikely to be an adverse cumulative impact upon the
        surrounding environment associated with current or future expanded operations.

        The assessment also considers emissions of greenhouse gas emissions from the Bass Point
        Quarry and includes estimates of direct and indirect GHG emissions.

        Calculated direct (Scope 1) emissions from the Bass Point Quarry associated with diesel
        combustion would generate between approximately 3.7 kt CO2-e/annum and 9.8 kt
        CO2-e/annum. Indirect (Scope 2 and 3) emissions would be through purchased electricity
        consumption and third-party distribution of product materials from site. Annual indirect emissions
        from the Bass Point Quarry were calculated to range between approximately 4.5 kt CO2-e/annum
        and 12.0 kt CO2-e/annum.

        A comparison of the calculated direct (Scope 1) emissions against Australia’s 2007 net emissions
        of 597 Mt CO2-e demonstrates the Bass Point Quarry would represent in increase of between
        approximately 0.001 % and 0.004% of the total Australian emissions. A comparison of the
        calculated Scope 1 emissions against NSW emissions in 2007 (162.7 Mt CO2-e) demonstrates
        that the Bass Point Quarry would represent in increase of between approximately 0.002 % and
        0.006% of NSW emissions.




Heggies Pty Ltd            Bass Point Quarry Expansion
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11      GLOSSARY AND TERMS

        AHD                        Australian Height Datum

        Approved Methods           Approved Methods for the Modelling and Assessment of Air Pollutants in
        NSW

        AWS                        Automatic Weather Station

        BoM                        Bureau of Meteorology

        BPQ                        The Bass Point Quarry

        CH4                        Methane

        CO                         Carbon Monoxide

        CO2                        Carbon Dioxide

        CSIRO                      Commonwealth Scientific and Industrial Research Organisation

        DECCW                      NSW Department of the Environment, Climate Change and Water

        EETMM                      Emission Estimation Technique Manual for Mining, Version 2.3

        g/m2/month                 Grams per square metre per month

        GWP                        Global Warming Potential

        Hanson                     Hanson Construction Materials Pty Ltd

        Heggies                    Heggies Pty Ltd

        HVAS                       High Volume Air Sampler

        IPCC                       Intergovernmental Panel on Climate Change

        µg                         Microgram (g x 10-6)

        µm                         Micrometre or micron (metre x 10-6)

        m3                         Cubic metre

        MGA                        Map Grid of Australia

        NASA                       National Aeronautics and Space Administration

        NEPC                       National Environment Protection Council

        NEPM                       National Environment Protection Measure

        NGA Factors                National Greenhouse Accounts Factors

        NHMRC                      National Health and Medical Research Council

        NMVOCs                     Non-methane Volatile Organic Compounds


Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
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        N2O                        Nitrous Oxide

        NO2                        Nitrogen Dioxide

        NPI                        National Pollution Inventory

        PM10                       Particulate matter less than 10 microns in aerodynamic diameter

        tpa                        Tonnes per Annum

        TAPM                       “The Air Pollution Model”

        TSP                        Total Suspended Particulate

        USEPA                      United States Environmental Protection Agency

        VKT                        Vehicle Kilometres Travelled

        WRAP                       Western Regional Air Partnership




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                               Page 58
12      REFERENCES

        The following documents and resources have been used in the production of this report.
             Australian Government Department of Climate Change (2009a), Australia’s National
             Greenhouse Accounts Factors, June 2009
             Australian Government Department of Climate Change (2009b), Australia’s National
             Greenhouse Accounts, State and Territory Greenhouse Gas Inventories 2007
             BoM (2009), Hourly meteorological observations from Wollongong Airport and Kiama
             (Bombo) AWS locations between 2004 and 2009.
             Cowherd, C, Muleski, G and Kinsey J (1988). Control of Open Fugitive Dust Sources
             Environment Australia National Pollution Inventory (2001), Emission Estimation Technique
             Manual for Mining, Version 2.3.
             Hanson (2009), Meteorological and Dust Deposition Data collected at BPQ site.
             Heggies (2008), Dust Deposition Data collected from Shell Cove Waste Containment Cell
             project between February 2007 and April 2008 for Cleary Bros (Bombo) Pty Ltd.
             Intergovernmental Panel on Climate Change (IPCC) (1996), Revised 1996 IPCC Guidelines for
             National Greenhouse Gas Inventories.
             NSW DECCW (2005), Approved Methods for the Modelling and Assessment of Air Pollutants
             in New South Wales.
             NSW DECCW (2009), TSP, PM10 and PM2.5 air quality monitoring data from the Illawarra
             Region.
             SKM (2005), Improvement of NPI Fugitive Particulate Matter Emission Estimation Techniques
             US EPA (2003) Compilation of Air Pollutant Emission Factors AP-42 - Chapter 13.2.2
             Unpaved Roads.
             US EPA (2004) Compilation of Air Pollutant Emission Factors AP-42 - Chapter 11.19.2
             Crushed Stone Processing and Pulverized Mineral Processing.
             US EPA (2006a), Compilation of Air Pollutant Emission Factors AP-42 - Chapter 13, Section
             13.2.1 Paved Roads.
             US EPA (2006b), Compilation of Air Pollutant Emission Factors AP-42 - Chapter 13, Section
             13.2.4 Aggregate Handling and Storage Piles.
             US EPA (2006c) Compilation of Air Pollutant Emission Factors AP-42 - Chapter 13, Section
             13.2.5 Industrial Wind Erosion.
             US EPA (2006d), Addendum for User’s Guide for the AMS/EPA Regulatory Model - AERMOD
             (EPA-454/B-03-001, September 2004)
             VTT (2005), VTT Technical Research Centre of Finland - Heavy-Duty Truck Emissions and
             Fuel Consumption Simulating Real-World Driving in Laboratory Conditions – 2005 DEER
             Conference
             WRAP (2006), Background Document for Revision to Fine Fraction Ratios Used for AP-42
             Fugitive Dust Emission Factors.




Heggies Pty Ltd            Bass Point Quarry Expansion
Report Number 10-3394-R1   Air Quality Impact Assessment
Revision 0                 Hanson Construction Materials Pty Ltd
                           (10-3394R1.doc) 21 May 2010                                           Page 59
                                                   Appendix A
                                                      Report 10-3394-R1
                                                             Page 1 of 1
                  SHELL COVE DEVELOMENT MASTERPLAN – AUSTRALAND 2009




(10-3394R1.doc)                                            Heggies Pty Ltd
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                                                                                                                          Appendix B
                                                                                                                                Report 10-3394-R1
                                                                                                                                       Page 1 of 1
                   WOLLONGONG AIRPORT AND KIAMA (BOMBO) AWS WIND ROSES – 2004 TO 2008

Figure B1 – Wollongong Airport AWS – Annual Wind Roses – 2004 to 2008
                                                                       N
                                                         NNW                         NNE



                                              NW                                                 NE




                                    WNW                                                                 ENE




                                    W                                                                      E

                                                                       0%       5%   10%   15%    20%   25%




                                    WSW                                                                 ESE




                                              SW                                                 SE


                                N                                                                              N
                                                         SSW                         SSE
                   NNW                       NNE                                                 NNW                      NNE
                                                                       S
                                                                      2004
                                                                (Calms = 11.4%)
              NW                                         NE                          NW                                               NE




       WNW                                                     ENE           WNW                                                              ENE




       W                                                          E         W                                                                   E

                               0%       5%   10%   15%   20%   25%                                             0%    5%   10%   15%   20%     25%




       WSW                                                     ESE           WSW                                                              ESE




              SW                                         SE                          SW                                               SE
                                                               Wind Speed (m/s)
                                                                  >0.5 - 1.5
                   SSW                       SSE                                                 SSW                      SSE
                                                                  >1.5 - 3
                                S                                                                              S
                             2005
                                                                  >3 - 5.5                                    2006
                         (Calms = 13.5%)                          >5.5 - 8                              (Calms = 14.2%)
                                N                                                                              N
                                                                  >8 - 10.5
                   NNW                       NNE                                                 NNW                      NNE
                                                                  >10.5

              NW                                         NE                          NW                                               NE




       WNW                                                     ENE           WNW                                                              ENE




       W                                                          E         W                                                                   E

                               0%       5%   10%   15%   20%   25%                                             0%    5%   10%   15%   20%     25%




       WSW                                                     ESE           WSW                                                              ESE




              SW                                         SE                          SW                                               SE



                   SSW                       SSE                                                 SSW                      SSE
                                S                                                                              S
                             2007                                                                             2008
                         (Calms = 14.7%)                                                                (Calms = 14.1%)




(10-3394R1.doc)                                                                                                                            Heggies Pty Ltd
                                                                                                                                Appendix B
                                                                                                                                       Report 10-3394-R1
                                                                                                                                              Page 1 of 1
                   WOLLONGONG AIRPORT AND KIAMA (BOMBO) AWS WIND ROSES – 2004 TO 2008

Figure B2 – Kiama (Bombo) AWS – Annual Wind Roses – 2004 to 2008
                                                                        N
                                                          NNW                           NNE



                                               NW                                                  NE




                                    WNW                                                                   ENE




                                    W                                                                       E

                                                                       0%          4%         8%    12%




                                    WSW                                                                   ESE




                                               SW                                                  SE


                               N                                                                                 N
                                                          SSW                           SSE
                   NNW                         NNE                                                 NNW                          NNE
                                                                        S
                                                                      2004
                                                                 (Calms = 1.5%)
              NW                                          NE                            NW                                                 NE




       WNW                                                      ENE          WNW                                                                   ENE




       W                                                          E         W                                                                        E

                              0%          4%         8%   12%                                                    0%        4%         8%   12%




       WSW                                                      ESE          WSW                                                                   ESE




              SW                                          SE                            SW                                                 SE
                                                                Wind Speed (m/s)
                                                                  >0.5 - 1.5
                   SSW                         SSE                                                 SSW                          SSE
                                                                  >1.5 - 3
                               S                                                                                 S
                             2005
                                                                  >3 - 5.5                                      2006
                         (Calms = 1.1%)                           >5.5 - 8                                (Calms = 1.2%)
                               N                                                                                N
                                                                  >8 - 10.5
                   NNW                         NNE                                                 NNW                          NNE
                                                                  >10.5

              NW                                          NE                            NW                                                 NE




       WNW                                                      ENE          WNW                                                                   ENE




       W                                                          E         W                                                                        E

                              0%          4%         8%   12%                                                    0%        4%         8%   12%




       WSW                                                      ESE          WSW                                                                   ESE




              SW                                          SE                            SW                                                 SE



                   SSW                         SSE                                                 SSW                          SSE
                               S                                                                                 S
                             2007                                                                               2008
                         (Calms = 1.7%)                                                                   (Calms = 1.3%)




(10-3394R1.doc)                                                                                                                                 Heggies Pty Ltd
                                                                                                                                      Appendix C
                                                                                                                                            Report 10-3394-R1
                                                                                                                                                   Page 1 of 1
                   SEASONAL VARIATION IN WIND SPEED AND DIRECTION - KIAMA (BOMBO) AWS - 2008
                                                                                 N
                                                                  NNW                          NNE



                                                       NW                                                  NE




                                        WNW                                                                       ENE




                                        W                                                                           E

                                                                                 0%       4%   8%    12%    16%   20%




                                        WSW                                                                       ESE




                                                       SW                                                  SE


                                  N                                                                                       N
                                                                   SSW                         SSE
                     NNW                           NNE                                                     NNW                        NNE
                                                                                 S
                                                                               Annual
                                                                          (Calms = 1.3%)
              NW                                                   NE                          NW                                                 NE




       WNW                                                               ENE          WNW                                                                 ENE




       W                                                                    E         W                                                                     E

                                 0%         4%     8%       12%    16%   20%                                              0%     4%   8%    12%   16%     20%




       WSW                                                               ESE          WSW                                                                 ESE




              SW                                                   SE                          SW                                                 SE
                                                                         Wind Speed (m/s)
                                                                           >0.5 - 1.5
                      SSW                          SSE                                                     SSW                        SSE
                                  S                                        >1.5 - 3                                       S
                             Summer                                        >3 - 5.5                                 Autumn
                            (Calms = 1.6%)                                                                        (Calms = 1.4%)
                                  N                                        >5.5 - 8                                     N
                     NNW                           NNE                     >8 - 10.5                       NNW                        NNE

                                                                           >10.5
              NW                                                   NE                          NW                                                 NE




       WNW                                                               ENE          WNW                                                                 ENE




       W                                                                    E         W                                                                     E

                                 0%              10%         20%         30%                                              0%     4%   8%    12%   16%     20%




       WSW                                                               ESE          WSW                                                                 ESE




              SW                                                   SE                          SW                                                 SE



                      SSW                          SSE                                                     SSW                        SSE
                                  S                                                                                       S
                               Winter                                                                                   Spring
                            (Calms = 1.0%)                                                                        (Calms = 1.1%)




(10-3394R1.doc)                                                                                                                                        Heggies Pty Ltd
                                                                                                                                                                   Appendix D
                                                                                                                                                                               Report 10-3394-R1
                                                                                                                                                                                      Page 1 of 1
         TAPM-PREDICTED SEASONAL VARIATION IN STABILITY CLASS - KIAMA (BOMBO) AWS - 2008

                                                           Number of Occurences                                                                   Number of Occurences




                                                                                    1200




                                                                                           1600
                                                     400




                                                                    800




                                                                                                                                                    400




                                                                                                                                                                         800
                                                 0




                                                                                                                                              0
                                             A




                                                                                                                                          A
                                             B




                                                                                                                                          B
              Pasquill-Gifford Stability Class




                                                                                                           Pasquill-Gifford Stability Class
                                             C




                                                                                                                                          C




                                                                                                                                                                                      Summer
                                                                                                  Winter
                                             D




                                                                                                                                          D
                                             E




                                                                                                                                          E
                                             F




                                                                                                                                          F




                                                           Number of Occurences                                                                   Number of Occurences
                                                             400




                                                                                  800




                                                                                                                                                    400




                                                                                                                                                                         800
                                                 0




                                                                                                                                              0
                                             A




                                                                                                                                          A
                                             B




                                                                                                                                          B
              Pasquill-Gifford Stability Class




                                                                                                           Pasquill-Gifford Stability Class
                                             C




                                                                                                                                          C




                                                                                                                                                                                      Autumn
                                                                                             Spring
                                             D




                                                                                                                                          D
                                             E




                                                                                                                                          E
                                             F




                                                                                                                                          F




(10-3394R1.doc)                                                                                                                                                                     Heggies Pty Ltd
                                                                                   Appendix E
                                                                                      Report 10-3394-R1
                                                                                             Page 1 of 1
                                                                           EXAMPLE AERMOD INPUT FILE
****************************************
** AERMOD Control Pathway
****************************************
CO STARTING
   TITLEONE BPQ Scenario 1
   MODELOPT DFAULT CONC
   AVERTIME 24 ANNUAL
   POLLUTID PM-10
   RUNORNOT RUN
CO FINISHED
****************************************
** AERMOD Source Pathway
****************************************
SO STARTING
** Source Location **
** Source ID - Type - X Coord. - Y Coord. **
   LOCATION AREA01 AREACIRC 306041.000 6169635.000 21.140
   LOCATION AREA02 AREACIRC 305951.000 6169659.000 25.580
   LOCATION AREA03 AREACIRC 305937.000 6169746.000 21.350
   LOCATION AREA04 AREACIRC 305969.000 6169742.000 22.880
   LOCATION AREA05 AREACIRC 306005.000 6169662.000 23.410
   LOCATION AREA06 AREACIRC 306012.000 6169735.000 21.930
   LOCATION AREA07 AREACIRC 306057.000 6169728.000 20.470
   LOCATION AREA08 AREACIRC 306050.000 6169520.000 20.720
   LOCATION AREA09 AREAPOLY 305081.655 6168950.984 51.870
   LOCATION AREA10 AREAPOLY 305844.947 6169413.798 23.290
   LOCATION AREA11 AREAPOLY 304667.202 6169525.672 17.120
** DESCRSRC bund_we
   LOCATION OPIT1 OPENPIT 304817.980 6169281.300 31.420
** DESCRSRC west_pit
   LOCATION OPIT2 OPENPIT 305482.150 6169240.860 33.510
** DESCRSRC east_pit
** Line Source represented by Separated Volume Sources
** ---------------------------------------------------------------------
** LINE Source ID = SLINE1
** DESCRSRC pit_haulage_surface
** Length of Side = 10.00
** Emission Rate = 42.99
** Vertical Dimension = 3.00
** SZINIT = 1.40
** Nodes = 9
** 305410.51, 6169535.64, 34.71, 0.00, 0.0
** 305522.30, 6169492.32, 32.28, 0.00, 8.51
** 305578.20, 6169495.12, 29.32, 0.00, 8.67
** 305660.65, 6169483.94, 25.49, 0.00, 7.74
** 305720.74, 6169475.55, 26.78, 0.00, 7.06
** 305811.58, 6169471.36, 27.60, 0.00, 8.46
** 305850.71, 6169471.36, 27.38, 0.00, 9.10
** 305884.25, 6169471.36, 28.66, 0.00, 7.80
** 305991.86, 6169507.70, 23.79, 0.00, 8.80
** ---------------------------------------------------------------------
   LOCATION L0000001 VOLUME 305415.167 6169533.705 34.61
   LOCATION L0000002 VOLUME 305432.247 6169527.137 34.24
   LOCATION L0000003 VOLUME 305449.326 6169520.568 33.87
   LOCATION L0000004 VOLUME 305466.406 6169514.000 33.49
   LOCATION L0000005 VOLUME 305483.486 6169507.432 33.12
   LOCATION L0000006 VOLUME 305500.566 6169500.863 32.75
   LOCATION L0000007 VOLUME 305517.646 6169494.295 32.38
   LOCATION L0000008 VOLUME 305535.942 6169493.110 31.56
   LOCATION L0000009 VOLUME 305554.567 6169493.943 30.57
   LOCATION L0000010 VOLUME 305573.193 6169494.777 29.58
   LOCATION L0000011 VOLUME 305589.725 6169493.461 28.78
   LOCATION L0000012 VOLUME 305606.219 6169491.261 28.02
   LOCATION L0000013 VOLUME 305622.713 6169489.061 27.25
   LOCATION L0000014 VOLUME 305639.206 6169486.861 26.49
   LOCATION L0000015 VOLUME 305655.700 6169484.661 25.72
   LOCATION L0000016 VOLUME 305670.729 6169482.575 25.71
   LOCATION L0000017 VOLUME 305685.752 6169480.450 26.03
   LOCATION L0000018 VOLUME 305700.776 6169478.325 26.35
   LOCATION L0000019 VOLUME 305715.799 6169476.200 26.67
   LOCATION L0000020 VOLUME 305733.924 6169474.920 26.90
   LOCATION L0000021 VOLUME 305752.092 6169474.120 27.06
   LOCATION L0000022 VOLUME 305770.261 6169473.320 27.23
   LOCATION L0000023 VOLUME 305788.430 6169472.520 27.39
   LOCATION L0000024 VOLUME 305806.599 6169471.720 27.55
   LOCATION L0000025 VOLUME 305826.156 6169471.500 27.52
   LOCATION L0000026 VOLUME 305845.719 6169471.500 27.41
   LOCATION L0000027 VOLUME 305862.484 6169471.500 27.83
   LOCATION L0000028 VOLUME 305879.250 6169471.500 28.47
   LOCATION L0000029 VOLUME 305897.446 6169475.914 28.06
   LOCATION L0000030 VOLUME 305915.383 6169481.914 27.25
   LOCATION L0000031 VOLUME 305933.321 6169487.914 26.44
   LOCATION L0000032 VOLUME 305951.258 6169493.914 25.63
   LOCATION L0000033 VOLUME 305969.196 6169499.914 24.82
   LOCATION L0000034 VOLUME 305987.133 6169505.914 24.00
** End of Line Source
** Line Source represented by Separated Volume Sources
** ---------------------------------------------------------------------
** LINE Source ID = SLINE2
** DESCRSRC
** Length of Side = 10.00
** Emission Rate = 103.4
** Vertical Dimension = 1.00
** SZINIT = 0.47
** Nodes = 3
** 305632.65, 6169756.26, 26.14, 0.00, 0.0




(10-3394R1.doc)                                                                            Heggies Pty Ltd
                                                                                   Appendix E
                                                                                      Report 10-3394-R1
                                                                                             Page 2 of 2
                                                                           EXAMPLE AERMOD INPUT FILE
** 305750.71, 6169736.34, 22.08, 0.00, 8.51
** 305882.53, 6169705.05, 21.61, 0.00, 9.00
** ---------------------------------------------------------------------
   LOCATION L0002179 VOLUME 305637.586 6169755.665 25.97
   LOCATION L0002180 VOLUME 305655.620 6169752.610 25.35
   LOCATION L0002181 VOLUME 305673.654 6169749.555 24.73
   LOCATION L0002182 VOLUME 305691.688 6169746.500 24.11
   LOCATION L0002183 VOLUME 305709.721 6169743.445 23.49
   LOCATION L0002184 VOLUME 305727.755 6169740.390 22.87
   LOCATION L0002185 VOLUME 305745.789 6169737.335 22.25
   LOCATION L0002186 VOLUME 305764.686 6169733.162 22.03
   LOCATION L0002187 VOLUME 305783.516 6169728.662 21.96
   LOCATION L0002188 VOLUME 305802.347 6169724.162 21.90
   LOCATION L0002189 VOLUME 305821.177 6169719.662 21.83
   LOCATION L0002190 VOLUME 305840.007 6169715.162 21.76
   LOCATION L0002191 VOLUME 305858.838 6169710.662 21.69
   LOCATION L0002192 VOLUME 305877.668 6169706.162 21.63
** End of Line Source
** Line Source represented by Separated Volume Sources
** ---------------------------------------------------------------------
** LINE Source ID = SLINE3
** DESCRSRC
** Length of Side = 10.00
** Emission Rate = 104.7
** Vertical Dimension = 1.00
** SZINIT = 0.47
** Nodes = 15
** 304804.61, 6169747.38, 24.19, 0.00, 0.0
** 304842.90, 6169714.48, 26.23, 0.00, 6.29
** 304894.36, 6169690.54, 30.19, 0.00, 8.80
** 304932.65, 6169686.35, 31.52, 0.00, 8.95
** 304965.56, 6169689.34, 31.15, 0.00, 7.68
** 305001.46, 6169704.90, 29.37, 0.00, 9.10
** 305097.80, 6169764.14, 31.40, 0.00, 8.76
** 305183.96, 6169817.39, 30.42, 0.00, 7.86
** 305259.95, 6169845.51, 28.84, 0.00, 7.53
** 305307.82, 6169848.51, 26.71, 0.00, 7.44
** 305386.20, 6169837.14, 23.63, 0.00, 9.21
** 305464.59, 6169806.62, 22.05, 0.00, 7.83
** 305520.24, 6169780.89, 22.84, 0.00, 7.12
** 305556.73, 6169773.11, 24.51, 0.00, 8.68
** 305632.13, 6169755.76, 26.16, 0.00, 8.99
** ---------------------------------------------------------------------
   LOCATION L0002193 VOLUME 304808.412 6169744.235 24.39
   LOCATION L0002194 VOLUME 304818.648 6169735.412 24.94
   LOCATION L0002195 VOLUME 304828.883 6169726.588 25.48
   LOCATION L0002196 VOLUME 304839.119 6169717.765 26.03
   LOCATION L0002197 VOLUME 304855.531 6169708.613 27.20
   LOCATION L0002198 VOLUME 304872.687 6169700.613 28.52
   LOCATION L0002199 VOLUME 304889.843 6169692.613 29.84
   LOCATION L0002200 VOLUME 304908.543 6169689.020 30.68
   LOCATION L0002201 VOLUME 304927.683 6169687.020 31.35
   LOCATION L0002202 VOLUME 304944.130 6169687.546 31.39
   LOCATION L0002203 VOLUME 304960.583 6169689.046 31.21
   LOCATION L0002204 VOLUME 304978.925 6169695.268 30.49
   LOCATION L0002205 VOLUME 304996.878 6169703.018 29.60
   LOCATION L0002206 VOLUME 305013.262 6169712.222 29.62
   LOCATION L0002207 VOLUME 305029.319 6169722.055 29.96
   LOCATION L0002208 VOLUME 305045.377 6169731.889 30.30
   LOCATION L0002209 VOLUME 305061.434 6169741.722 30.63
   LOCATION L0002210 VOLUME 305077.491 6169751.555 30.97
   LOCATION L0002211 VOLUME 305093.549 6169761.389 31.31
   LOCATION L0002212 VOLUME 305107.924 6169770.279 31.28
   LOCATION L0002213 VOLUME 305122.284 6169779.196 31.12
   LOCATION L0002214 VOLUME 305136.643 6169788.112 30.96
   LOCATION L0002215 VOLUME 305151.002 6169797.029 30.79
   LOCATION L0002216 VOLUME 305165.362 6169805.946 30.63
   LOCATION L0002217 VOLUME 305179.721 6169814.862 30.47
   LOCATION L0002218 VOLUME 305194.471 6169821.371 30.20
   LOCATION L0002219 VOLUME 305209.665 6169826.971 29.89
   LOCATION L0002220 VOLUME 305224.859 6169832.571 29.57
   LOCATION L0002221 VOLUME 305240.052 6169838.171 29.25
   LOCATION L0002222 VOLUME 305255.246 6169843.771 28.94
   LOCATION L0002223 VOLUME 305270.906 6169846.187 28.35
   LOCATION L0002224 VOLUME 305286.864 6169847.187 27.64
   LOCATION L0002225 VOLUME 305302.822 6169848.187 26.93
   LOCATION L0002226 VOLUME 305322.459 6169846.351 26.13
   LOCATION L0002227 VOLUME 305342.053 6169843.476 25.36
   LOCATION L0002228 VOLUME 305361.647 6169840.601 24.59
   LOCATION L0002229 VOLUME 305381.240 6169837.726 23.82
   LOCATION L0002230 VOLUME 305397.209 6169832.713 23.41
   LOCATION L0002231 VOLUME 305412.890 6169826.613 23.09
   LOCATION L0002232 VOLUME 305428.571 6169820.513 22.78
   LOCATION L0002233 VOLUME 305444.253 6169814.413 22.46
   LOCATION L0002234 VOLUME 305459.934 6169808.313 22.14
   LOCATION L0002235 VOLUME 305473.962 6169802.208 22.18
   LOCATION L0002236 VOLUME 305487.876 6169795.833 22.38
   LOCATION L0002237 VOLUME 305501.790 6169789.458 22.58
   LOCATION L0002238 VOLUME 305515.704 6169783.083 22.78
   LOCATION L0002239 VOLUME 305533.601 6169778.071 23.45
   LOCATION L0002240 VOLUME 305551.835 6169774.071 24.29
   LOCATION L0002241 VOLUME 305570.693 6169769.850 24.82
   LOCATION L0002242 VOLUME 305589.544 6169765.600 25.23
   LOCATION L0002243 VOLUME 305608.396 6169761.350 25.64
   LOCATION L0002244 VOLUME 305627.247 6169757.100 26.05
** End of Line Source




(10-3394R1.doc)                                                                            Heggies Pty Ltd
                                                                                         Appendix E
                                                                                            Report 10-3394-R1
                                                                                                   Page 3 of 3
                                                                                 EXAMPLE AERMOD INPUT FILE
** Line Source represented by Separated Volume Sources
** ---------------------------------------------------------------------
** LINE Source ID = SLINE4
** DESCRSRC
** Length of Side = 10.00
** Emission Rate = 19.8
** Vertical Dimension = 3.00
** SZINIT = 1.40
** Nodes = 2
** 304766.19, 6169676.33, 22.81, 0.00, 0.0
** 304915.67, 6169580.20, 37.20, 0.00, 8.68
** ---------------------------------------------------------------------
   LOCATION L0002245 VOLUME 304770.388 6169673.788 23.21
   LOCATION L0002246 VOLUME 304786.062 6169663.668 24.72
   LOCATION L0002247 VOLUME 304801.736 6169653.549 26.23
   LOCATION L0002248 VOLUME 304817.411 6169643.429 27.74
   LOCATION L0002249 VOLUME 304833.085 6169633.310 29.25
   LOCATION L0002250 VOLUME 304848.759 6169623.190 30.76
   LOCATION L0002251 VOLUME 304864.433 6169613.071 32.27
   LOCATION L0002252 VOLUME 304880.107 6169602.951 33.78
   LOCATION L0002253 VOLUME 304895.781 6169592.832 35.29
   LOCATION L0002254 VOLUME 304911.456 6169582.712 36.80
** End of Line Source
   LOCATION VOL01 VOLUME 305988.000 6169696.000 23.570
   LOCATION VOL02 VOLUME 305987.000 6169691.000 23.740
   LOCATION VOL03 VOLUME 305948.000 6169701.000 23.860
   LOCATION VOL04 VOLUME 305948.000 6169696.000 24.060
   LOCATION VOL05 VOLUME 306041.000 6169635.000 21.140
   LOCATION VOL06 VOLUME 305951.000 6169659.000 25.580
   LOCATION VOL07 VOLUME 305937.000 6169746.000 21.350
   LOCATION VOL08 VOLUME 305969.000 6169742.000 22.880
   LOCATION VOL09 VOLUME 306005.000 6169662.000 23.410
   LOCATION VOL10 VOLUME 306012.000 6169735.000 21.930
   LOCATION VOL11 VOLUME 306057.000 6169728.000 20.470
   LOCATION VOL12 VOLUME 306050.000 6169520.000 20.720
   LOCATION VOL13 VOLUME 305913.000 6169725.000 21.700
   LOCATION VOL14 VOLUME 306076.000 6170210.000 0.960
   LOCATION VOL15 VOLUME 305762.000 6169598.000 28.610
   LOCATION VOL16 VOLUME 305762.000 6169598.000 28.610
   LOCATION VOL17 VOLUME 304770.000 6169674.000 22.660
   LOCATION VOL18 VOLUME 304917.000 6169579.000 37.200
** Source Parameters **
   SRCPARAM AREA01 0.007886927 7.500 7.949
   SRCPARAM AREA02 0.0131427346188026 7.500 5.046
   SRCPARAM AREA03 0.007886927 7.500 3.989
   SRCPARAM AREA04 0.007886927 7.500 3.989
   SRCPARAM AREA05 0.007886927 7.500 3.989
   SRCPARAM AREA06 0.007886927 7.500 3.989
   SRCPARAM AREA07 0.007886927 7.500 3.989
   SRCPARAM AREA08 0.007886927 4.000 2.523
   SRCPARAM AREA09 0.00555633055710556 3.000 4
   AREAVERT AREA09 305081.655 6168950.984 305371.637 6169296.857
   AREAVERT AREA09 305721.888 6169091.721 305388.586 6168683.074
   SRCPARAM AREA10 0.00555633055710556 3.000 5
   AREAVERT AREA10 305844.947 6169413.798 306063.884 6169317.241
   AREAVERT AREA10 305963.765 6169040.296 306244.661 6169221.299
   AREAVERT AREA10 306078.436 6169517.296
   SRCPARAM AREA11 0.00555633055710556 5.000 4
   AREAVERT AREA11 304667.202 6169525.672 304798.351 6169726.169
   AREAVERT AREA11 304977.961 6169641.714 304778.178 6169402.396
   SRCPARAM OPIT1 0.002 0.000 380.962 500.000 3809620.000 37.000
   SRCPARAM OPIT2 0.00555633055710556 0.000 520.420 250.000 1301050.000 18.000
   SRCPARAM L0000001 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000002 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000003 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000004 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000005 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000006 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000007 1.26441176470588 0.00 8.51 1.40
   SRCPARAM L0000008 1.26441176470588 0.00 8.67 1.40
   SRCPARAM L0000009 1.26441176470588 0.00 8.67 1.40
   SRCPARAM L0000010 1.26441176470588 0.00 8.67 1.40
   SRCPARAM L0000011 1.26441176470588 0.00 7.74 1.40
   SRCPARAM L0000012 1.26441176470588 0.00 7.74 1.40
   SRCPARAM L0000013 1.26441176470588 0.00 7.74 1.40
   SRCPARAM L0000014 1.26441176470588 0.00 7.74 1.40
   SRCPARAM L0000015 1.26441176470588 0.00 7.74 1.40
   SRCPARAM L0000016 1.26441176470588 0.00 7.06 1.40
   SRCPARAM L0000017 1.26441176470588 0.00 7.06 1.40
   SRCPARAM L0000018 1.26441176470588 0.00 7.06 1.40
   SRCPARAM L0000019 1.26441176470588 0.00 7.06 1.40
   SRCPARAM L0000020 1.26441176470588 0.00 8.46 1.40
   SRCPARAM L0000021 1.26441176470588 0.00 8.46 1.40
   SRCPARAM L0000022 1.26441176470588 0.00 8.46 1.40
   SRCPARAM L0000023 1.26441176470588 0.00 8.46 1.40
   SRCPARAM L0000024 1.26441176470588 0.00 8.46 1.40
   SRCPARAM L0000025 1.26441176470588 0.00 9.10 1.40
   SRCPARAM L0000026 1.26441176470588 0.00 9.10 1.40
   SRCPARAM L0000027 1.26441176470588 0.00 7.80 1.40
   SRCPARAM L0000028 1.26441176470588 0.00 7.80 1.40
   SRCPARAM L0000029 1.26441176470588 0.00 8.80 1.40
   SRCPARAM L0000030 1.26441176470588 0.00 8.80 1.40
   SRCPARAM L0000031 1.26441176470588 0.00 8.80 1.40
   SRCPARAM L0000032 1.26441176470588 0.00 8.80 1.40
   SRCPARAM L0000033 1.26441176470588 0.00 8.80 1.40
   SRCPARAM L0000034 1.26441176470588 0.00 8.80 1.40




(10-3394R1.doc)                                                                                  Heggies Pty Ltd
                                                                    Appendix E
                                                                       Report 10-3394-R1
                                                                              Page 4 of 4
                                                            EXAMPLE AERMOD INPUT FILE
  SRCPARAM   L0002179 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002180 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002181 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002182 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002183 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002184 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002185 7.38571428571429 0.00   8.51   0.47
  SRCPARAM   L0002186 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002187 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002188 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002189 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002190 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002191 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002192 7.38571428571429 0.00   9.00   0.47
  SRCPARAM   L0002193 2.01346153846154 0.00   6.29   0.47
  SRCPARAM   L0002194 2.01346153846154 0.00   6.29   0.47
  SRCPARAM   L0002195 2.01346153846154 0.00   6.29   0.47
  SRCPARAM   L0002196 2.01346153846154 0.00   6.29   0.47
  SRCPARAM   L0002197 2.01346153846154 0.00   8.80   0.47
  SRCPARAM   L0002198 2.01346153846154 0.00   8.80   0.47
  SRCPARAM   L0002199 2.01346153846154 0.00   8.80   0.47
  SRCPARAM   L0002200 2.01346153846154 0.00   8.95   0.47
  SRCPARAM   L0002201 2.01346153846154 0.00   8.95   0.47
  SRCPARAM   L0002202 2.01346153846154 0.00   7.68   0.47
  SRCPARAM   L0002203 2.01346153846154 0.00   7.68   0.47
  SRCPARAM   L0002204 2.01346153846154 0.00   9.10   0.47
  SRCPARAM   L0002205 2.01346153846154 0.00   9.10   0.47
  SRCPARAM   L0002206 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002207 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002208 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002209 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002210 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002211 2.01346153846154 0.00   8.76   0.47
  SRCPARAM   L0002212 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002213 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002214 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002215 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002216 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002217 2.01346153846154 0.00   7.86   0.47
  SRCPARAM   L0002218 2.01346153846154 0.00   7.53   0.47
  SRCPARAM   L0002219 2.01346153846154 0.00   7.53   0.47
  SRCPARAM   L0002220 2.01346153846154 0.00   7.53   0.47
  SRCPARAM   L0002221 2.01346153846154 0.00   7.53   0.47
  SRCPARAM   L0002222 2.01346153846154 0.00   7.53   0.47
  SRCPARAM   L0002223 2.01346153846154 0.00   7.44   0.47
  SRCPARAM   L0002224 2.01346153846154 0.00   7.44   0.47
  SRCPARAM   L0002225 2.01346153846154 0.00   7.44   0.47
  SRCPARAM   L0002226 2.01346153846154 0.00   9.21   0.47
  SRCPARAM   L0002227 2.01346153846154 0.00   9.21   0.47
  SRCPARAM   L0002228 2.01346153846154 0.00   9.21   0.47
  SRCPARAM   L0002229 2.01346153846154 0.00   9.21   0.47
  SRCPARAM   L0002230 2.01346153846154 0.00   7.83   0.47
  SRCPARAM   L0002231 2.01346153846154 0.00   7.83   0.47
  SRCPARAM   L0002232 2.01346153846154 0.00   7.83   0.47
  SRCPARAM   L0002233 2.01346153846154 0.00   7.83   0.47
  SRCPARAM   L0002234 2.01346153846154 0.00   7.83   0.47
  SRCPARAM   L0002235 2.01346153846154 0.00   7.12   0.47
  SRCPARAM   L0002236 2.01346153846154 0.00   7.12   0.47
  SRCPARAM   L0002237 2.01346153846154 0.00   7.12   0.47
  SRCPARAM   L0002238 2.01346153846154 0.00   7.12   0.47
  SRCPARAM   L0002239 2.01346153846154 0.00   8.68   0.47
  SRCPARAM   L0002240 2.01346153846154 0.00   8.68   0.47
  SRCPARAM   L0002241 2.01346153846154 0.00   8.99   0.47
  SRCPARAM   L0002242 2.01346153846154 0.00   8.99   0.47
  SRCPARAM   L0002243 2.01346153846154 0.00   8.99   0.47
  SRCPARAM   L0002244 2.01346153846154 0.00   8.99   0.47
  SRCPARAM   L0002245 1.98 0.00 8.68 1.40
  SRCPARAM   L0002246 1.98 0.00 8.68 1.40
  SRCPARAM   L0002247 1.98 0.00 8.68 1.40
  SRCPARAM   L0002248 1.98 0.00 8.68 1.40
  SRCPARAM   L0002249 1.98 0.00 8.68 1.40
  SRCPARAM   L0002250 1.98 0.00 8.68 1.40
  SRCPARAM   L0002251 1.98 0.00 8.68 1.40
  SRCPARAM   L0002252 1.98 0.00 8.68 1.40
  SRCPARAM   L0002253 1.98 0.00 8.68 1.40
  SRCPARAM   L0002254 1.98 0.00 8.68 1.40
  SRCPARAM   VOL01 102.8933966 15.000 0.930   3.488
  SRCPARAM   VOL02 102.8933966 15.000 0.930   3.488
  SRCPARAM   VOL03 77.40604145 15.000 0.930   3.488
  SRCPARAM   VOL04 20.61014518 15.000 0.930   3.488
  SRCPARAM   VOL05 13.1 15.000 1.163 3.488
  SRCPARAM   VOL06 4.1 15.000 1.163 3.488
  SRCPARAM   VOL07 0.7 15.000 1.163 3.488
  SRCPARAM   VOL08 0.6 15.000 1.163 3.488
  SRCPARAM   VOL09 2.4 15.000 1.163 3.488
  SRCPARAM   VOL10 0.6 15.000 1.163 3.488
  SRCPARAM   VOL11 3.2 15.000 1.163 3.488
  SRCPARAM   VOL12 1.5 15.000 1.163 3.488
  SRCPARAM   VOL13 174.6 5.000 11.628 1.163
  SRCPARAM   VOL14 58.8 20.000 1.163 4.651
  SRCPARAM   VOL15 0.1 5.000 11.628 1.163
  SRCPARAM   VOL16 63.7 5.000 11.628 1.163
  SRCPARAM   VOL17 184.7206341 5.000 11.628   1.163
  SRCPARAM   VOL18 372.9071537 5.000 11.628   1.163

** Variable Emissions Type: "By Hour-of-Day"




(10-3394R1.doc)                                                             Heggies Pty Ltd
                                                           Appendix E
                                                              Report 10-3394-R1
                                                                     Page 5 of 5
                                                   EXAMPLE AERMOD INPUT FILE
** Variable   Emission Scenario:   "Scenario 3"
   EMISFACT   VOL14 HROFDY 0 0 0   0 0 0
   EMISFACT   VOL14 HROFDY 0 0 0   1 1 1
   EMISFACT   VOL14 HROFDY 1 1 0   0 0 0
   EMISFACT   VOL14 HROFDY 0 0 0   0 0 0

** Variable Emissions Type: "By Hour-of-Day"
** Variable Emission Scenario: "Scenario 4"
   EMISFACT VOL15 HROFDY 0 0 0 0 0 0
   EMISFACT VOL15 HROFDY 0 0 1 1 1 1
   EMISFACT VOL15 HROFDY 1 1 1 1 1 1
   EMISFACT VOL15 HROFDY 0 0 0 0 0 0

** Variable Emissions Type: "By Hour-of-Day"
** Variable Emission Scenario: "Scenario 5"
   EMISFACT VOL16 HROFDY 0 0 0 0 0 0
   EMISFACT VOL16 HROFDY 0 0 0 0 0 1
   EMISFACT VOL16 HROFDY 0 0 0 0 0 0
   EMISFACT VOL16 HROFDY 0 0 0 0 0 0

** Variable Emissions Type: "By Hour-of-Day"
** Variable Emission Scenario: "Scenario 6"
   EMISFACT VOL17 HROFDY 0 0 0 0 0 0
   EMISFACT VOL17 HROFDY 0 1 1 1 1 1
   EMISFACT VOL17 HROFDY 1 1 1 1 1 1
   EMISFACT VOL17 HROFDY 1 0 0 0 0 0
   EMISFACT VOL18 HROFDY 0 0 0 0 0 0
   EMISFACT VOL18 HROFDY 0 1 1 1 1 1
   EMISFACT VOL18 HROFDY 1 1 1 1 1 1
   EMISFACT VOL18 HROFDY 1 0 0 0 0 0
   EMISFACT L0002245 HROFDY 0 0 0 0 0 0
   EMISFACT L0002245 HROFDY 0 1 1 1 1 1
   EMISFACT L0002245 HROFDY 1 1 1 1 1 1
   EMISFACT L0002245 HROFDY 1 0 0 0 0 0
   EMISFACT L0002246 HROFDY 0 0 0 0 0 0
   EMISFACT L0002246 HROFDY 0 1 1 1 1 1
   EMISFACT L0002246 HROFDY 1 1 1 1 1 1
   EMISFACT L0002246 HROFDY 1 0 0 0 0 0
   EMISFACT L0002247 HROFDY 0 0 0 0 0 0
   EMISFACT L0002247 HROFDY 0 1 1 1 1 1
   EMISFACT L0002247 HROFDY 1 1 1 1 1 1
   EMISFACT L0002247 HROFDY 1 0 0 0 0 0
   EMISFACT L0002248 HROFDY 0 0 0 0 0 0
   EMISFACT L0002248 HROFDY 0 1 1 1 1 1
   EMISFACT L0002248 HROFDY 1 1 1 1 1 1
   EMISFACT L0002248 HROFDY 1 0 0 0 0 0
   EMISFACT L0002249 HROFDY 0 0 0 0 0 0
   EMISFACT L0002249 HROFDY 0 1 1 1 1 1
   EMISFACT L0002249 HROFDY 1 1 1 1 1 1
   EMISFACT L0002249 HROFDY 1 0 0 0 0 0
   EMISFACT L0002250 HROFDY 0 0 0 0 0 0
   EMISFACT L0002250 HROFDY 0 1 1 1 1 1
   EMISFACT L0002250 HROFDY 1 1 1 1 1 1
   EMISFACT L0002250 HROFDY 1 0 0 0 0 0
   EMISFACT L0002251 HROFDY 0 0 0 0 0 0
   EMISFACT L0002251 HROFDY 0 1 1 1 1 1
   EMISFACT L0002251 HROFDY 1 1 1 1 1 1
   EMISFACT L0002251 HROFDY 1 0 0 0 0 0
   EMISFACT L0002252 HROFDY 0 0 0 0 0 0
   EMISFACT L0002252 HROFDY 0 1 1 1 1 1
   EMISFACT L0002252 HROFDY 1 1 1 1 1 1
   EMISFACT L0002252 HROFDY 1 0 0 0 0 0
   EMISFACT L0002253 HROFDY 0 0 0 0 0 0
   EMISFACT L0002253 HROFDY 0 1 1 1 1 1
   EMISFACT L0002253 HROFDY 1 1 1 1 1 1
   EMISFACT L0002253 HROFDY 1 0 0 0 0 0
   EMISFACT L0002254 HROFDY 0 0 0 0 0 0
   EMISFACT L0002254 HROFDY 0 1 1 1 1 1
   EMISFACT L0002254 HROFDY 1 1 1 1 1 1
   EMISFACT L0002254 HROFDY 1 0 0 0 0 0

** Variable Emissions Type: "By Wind Speed"
** Variable Emission Scenario: "Scenario 1"
   EMISFACT OPIT1 WSPEED 1 1 1 3.844 3.844 3.844

** Variable Emissions Type: "By Wind Speed"
** Variable Emission Scenario: "Scenario 2 (12)"
   EMISFACT AREA01 WSPEED 0 0 0 1 1 1
   EMISFACT AREA02 WSPEED 0 0 0 1 1 1
   EMISFACT AREA03 WSPEED 0 0 0 1 1 1
   EMISFACT AREA04 WSPEED 0 0 0 1 1 1
   EMISFACT AREA05 WSPEED 0 0 0 1 1 1
   EMISFACT AREA06 WSPEED 0 0 0 1 1 1
   EMISFACT AREA07 WSPEED 0 0 0 1 1 1
   EMISFACT AREA08 WSPEED 0 0 0 1 1 1
   EMISFACT OPIT2 WSPEED 0 0 0 1 1 1
   EMISFACT AREA11 WSPEED 0 0 0 1 1 1
   EMISFACT AREA09 WSPEED 0 0 0 1 1 1
   EMISFACT AREA10 WSPEED 0 0 0 1 1 1
   CONCUNIT 1000 G/S UG/M3
   PARTDIAM AREA01 10 30
   PARTDIAM AREA02 10 30
   PARTDIAM AREA03 10 30
   PARTDIAM AREA04 10 30
   PARTDIAM AREA05 10 30
   PARTDIAM AREA06 10 30




(10-3394R1.doc)                                                    Heggies Pty Ltd
                                      Appendix E
                                         Report 10-3394-R1
                                                Page 6 of 6
                              EXAMPLE AERMOD INPUT FILE
  PARTDIAM   AREA07 10 30
  PARTDIAM   AREA08 10 30
  PARTDIAM   AREA09 10 30
  PARTDIAM   AREA10 10 30
  PARTDIAM   AREA11 10 30
  PARTDIAM   OPIT1 10 30
  PARTDIAM   OPIT2 10 30
  PARTDIAM   VOL01 10 30
  PARTDIAM   VOL02 10 30
  PARTDIAM   VOL03 10 30
  PARTDIAM   VOL04 10 30
  PARTDIAM   VOL05 10 30
  PARTDIAM   VOL06 10 30
  PARTDIAM   VOL07 10 30
  PARTDIAM   VOL08 10 30
  PARTDIAM   VOL09 10 30
  PARTDIAM   VOL10 10 30
  PARTDIAM   VOL11 10 30
  PARTDIAM   VOL12 10 30
  PARTDIAM   VOL13 10 30
  PARTDIAM   VOL14 10 30
  PARTDIAM   VOL15 10 30
  PARTDIAM   VOL16 10 30
  PARTDIAM   VOL17 10 30
  PARTDIAM   VOL18 10 30
  PARTDIAM   L0000001 10 30
  PARTDIAM   L0000002 10 30
  PARTDIAM   L0000003 10 30
  PARTDIAM   L0000004 10 30
  PARTDIAM   L0000005 10 30
  PARTDIAM   L0000006 10 30
  PARTDIAM   L0000007 10 30
  PARTDIAM   L0000008 10 30
  PARTDIAM   L0000009 10 30
  PARTDIAM   L0000010 10 30
  PARTDIAM   L0000011 10 30
  PARTDIAM   L0000012 10 30
  PARTDIAM   L0000013 10 30
  PARTDIAM   L0000014 10 30
  PARTDIAM   L0000015 10 30
  PARTDIAM   L0000016 10 30
  PARTDIAM   L0000017 10 30
  PARTDIAM   L0000018 10 30
  PARTDIAM   L0000019 10 30
  PARTDIAM   L0000020 10 30
  PARTDIAM   L0000021 10 30
  PARTDIAM   L0000022 10 30
  PARTDIAM   L0000023 10 30
  PARTDIAM   L0000024 10 30
  PARTDIAM   L0000025 10 30
  PARTDIAM   L0000026 10 30
  PARTDIAM   L0000027 10 30
  PARTDIAM   L0000028 10 30
  PARTDIAM   L0000029 10 30
  PARTDIAM   L0000030 10 30
  PARTDIAM   L0000031 10 30
  PARTDIAM   L0000032 10 30
  PARTDIAM   L0000033 10 30
  PARTDIAM   L0000034 10 30
  PARTDIAM   L0002179 10 30
  PARTDIAM   L0002180 10 30
  PARTDIAM   L0002181 10 30
  PARTDIAM   L0002182 10 30
  PARTDIAM   L0002183 10 30
  PARTDIAM   L0002184 10 30
  PARTDIAM   L0002185 10 30
  PARTDIAM   L0002186 10 30
  PARTDIAM   L0002187 10 30
  PARTDIAM   L0002188 10 30
  PARTDIAM   L0002189 10 30
  PARTDIAM   L0002190 10 30
  PARTDIAM   L0002191 10 30
  PARTDIAM   L0002192 10 30
  PARTDIAM   L0002193 10 30
  PARTDIAM   L0002194 10 30
  PARTDIAM   L0002195 10 30
  PARTDIAM   L0002196 10 30
  PARTDIAM   L0002197 10 30
  PARTDIAM   L0002198 10 30
  PARTDIAM   L0002199 10 30
  PARTDIAM   L0002200 10 30
  PARTDIAM   L0002201 10 30
  PARTDIAM   L0002202 10 30
  PARTDIAM   L0002203 10 30
  PARTDIAM   L0002204 10 30
  PARTDIAM   L0002205 10 30
  PARTDIAM   L0002206 10 30
  PARTDIAM   L0002207 10 30
  PARTDIAM   L0002208 10 30
  PARTDIAM   L0002209 10 30
  PARTDIAM   L0002210 10 30
  PARTDIAM   L0002211 10 30
  PARTDIAM   L0002212 10 30
  PARTDIAM   L0002213 10 30
  PARTDIAM   L0002214 10 30
  PARTDIAM   L0002215 10 30




(10-3394R1.doc)                               Heggies Pty Ltd
                                              Appendix E
                                                 Report 10-3394-R1
                                                        Page 7 of 7
                                      EXAMPLE AERMOD INPUT FILE
  PARTDIAM   L0002216 10 30
  PARTDIAM   L0002217 10 30
  PARTDIAM   L0002218 10 30
  PARTDIAM   L0002219 10 30
  PARTDIAM   L0002220 10 30
  PARTDIAM   L0002221 10 30
  PARTDIAM   L0002222 10 30
  PARTDIAM   L0002223 10 30
  PARTDIAM   L0002224 10 30
  PARTDIAM   L0002225 10 30
  PARTDIAM   L0002226 10 30
  PARTDIAM   L0002227 10 30
  PARTDIAM   L0002228 10 30
  PARTDIAM   L0002229 10 30
  PARTDIAM   L0002230 10 30
  PARTDIAM   L0002231 10 30
  PARTDIAM   L0002232 10 30
  PARTDIAM   L0002233 10 30
  PARTDIAM   L0002234 10 30
  PARTDIAM   L0002235 10 30
  PARTDIAM   L0002236 10 30
  PARTDIAM   L0002237 10 30
  PARTDIAM   L0002238 10 30
  PARTDIAM   L0002239 10 30
  PARTDIAM   L0002240 10 30
  PARTDIAM   L0002241 10 30
  PARTDIAM   L0002242 10 30
  PARTDIAM   L0002243 10 30
  PARTDIAM   L0002244 10 30
  PARTDIAM   L0002245 10 30
  PARTDIAM   L0002246 10 30
  PARTDIAM   L0002247 10 30
  PARTDIAM   L0002248 10 30
  PARTDIAM   L0002249 10 30
  PARTDIAM   L0002250 10 30
  PARTDIAM   L0002251 10 30
  PARTDIAM   L0002252 10 30
  PARTDIAM   L0002253 10 30
  PARTDIAM   L0002254 10 30
  MASSFRAX   AREA01 0.5 0.5
  MASSFRAX   AREA02 0.5 0.5
  MASSFRAX   AREA03 0.5 0.5
  MASSFRAX   AREA04 0.5 0.5
  MASSFRAX   AREA05 0.5 0.5
  MASSFRAX   AREA06 0.5 0.5
  MASSFRAX   AREA07 0.5 0.5
  MASSFRAX   AREA08 0.5 0.5
  MASSFRAX   AREA09 0.5 0.5
  MASSFRAX   AREA10 0.5 0.5
  MASSFRAX   AREA11 0.5 0.5
  MASSFRAX   OPIT1 0.45698 0.54302
  MASSFRAX   OPIT2 0.5 0.5
  MASSFRAX   VOL01 0.344 0.656
  MASSFRAX   VOL02 0.344 0.656
  MASSFRAX   VOL03 0.344 0.656
  MASSFRAX   VOL04 0.344 0.656
  MASSFRAX   VOL05 0.36667 0.63333
  MASSFRAX   VOL06 0.36667 0.63333
  MASSFRAX   VOL07 0.36667 0.63333
  MASSFRAX   VOL08 0.36667 0.63333
  MASSFRAX   VOL09 0.36667 0.63333
  MASSFRAX   VOL10 0.36667 0.63333
  MASSFRAX   VOL11 0.36667 0.63333
  MASSFRAX   VOL12 0.36667 0.63333
  MASSFRAX   VOL13 0.47297 0.52703
  MASSFRAX   VOL14 0.36667 0.63333
  MASSFRAX   VOL15 0.5 0.5
  MASSFRAX   VOL16 0.47297 0.52703
  MASSFRAX   VOL17 0.13077 0.86923
  MASSFRAX   VOL18 0.48 0.52
  MASSFRAX   L0000001 0.2665 0.7335
  MASSFRAX   L0000002 0.2665 0.7335
  MASSFRAX   L0000003 0.2665 0.7335
  MASSFRAX   L0000004 0.2665 0.7335
  MASSFRAX   L0000005 0.2665 0.7335
  MASSFRAX   L0000006 0.2665 0.7335
  MASSFRAX   L0000007 0.2665 0.7335
  MASSFRAX   L0000008 0.2665 0.7335
  MASSFRAX   L0000009 0.2665 0.7335
  MASSFRAX   L0000010 0.2665 0.7335
  MASSFRAX   L0000011 0.2665 0.7335
  MASSFRAX   L0000012 0.2665 0.7335
  MASSFRAX   L0000013 0.2665 0.7335
  MASSFRAX   L0000014 0.2665 0.7335
  MASSFRAX   L0000015 0.2665 0.7335
  MASSFRAX   L0000016 0.2665 0.7335
  MASSFRAX   L0000017 0.2665 0.7335
  MASSFRAX   L0000018 0.2665 0.7335
  MASSFRAX   L0000019 0.2665 0.7335
  MASSFRAX   L0000020 0.2665 0.7335
  MASSFRAX   L0000021 0.2665 0.7335
  MASSFRAX   L0000022 0.2665 0.7335
  MASSFRAX   L0000023 0.2665 0.7335
  MASSFRAX   L0000024 0.2665 0.7335
  MASSFRAX   L0000025 0.2665 0.7335
  MASSFRAX   L0000026 0.2665 0.7335




(10-3394R1.doc)                                       Heggies Pty Ltd
                                                Appendix E
                                                   Report 10-3394-R1
                                                          Page 8 of 8
                                        EXAMPLE AERMOD INPUT FILE
  MASSFRAX   L0000027 0.2665 0.7335
  MASSFRAX   L0000028 0.2665 0.7335
  MASSFRAX   L0000029 0.2665 0.7335
  MASSFRAX   L0000030 0.2665 0.7335
  MASSFRAX   L0000031 0.2665 0.7335
  MASSFRAX   L0000032 0.2665 0.7335
  MASSFRAX   L0000033 0.2665 0.7335
  MASSFRAX   L0000034 0.2665 0.7335
  MASSFRAX   L0002179 0.2665 0.7335
  MASSFRAX   L0002180 0.2665 0.7335
  MASSFRAX   L0002181 0.2665 0.7335
  MASSFRAX   L0002182 0.2665 0.7335
  MASSFRAX   L0002183 0.2665 0.7335
  MASSFRAX   L0002184 0.2665 0.7335
  MASSFRAX   L0002185 0.2665 0.7335
  MASSFRAX   L0002186 0.2665 0.7335
  MASSFRAX   L0002187 0.2665 0.7335
  MASSFRAX   L0002188 0.2665 0.7335
  MASSFRAX   L0002189 0.2665 0.7335
  MASSFRAX   L0002190 0.2665 0.7335
  MASSFRAX   L0002191 0.2665 0.7335
  MASSFRAX   L0002192 0.2665 0.7335
  MASSFRAX   L0002193 0.19127 0.80873
  MASSFRAX   L0002194 0.19127 0.80873
  MASSFRAX   L0002195 0.19127 0.80873
  MASSFRAX   L0002196 0.19127 0.80873
  MASSFRAX   L0002197 0.19127 0.80873
  MASSFRAX   L0002198 0.19127 0.80873
  MASSFRAX   L0002199 0.19127 0.80873
  MASSFRAX   L0002200 0.19127 0.80873
  MASSFRAX   L0002201 0.19127 0.80873
  MASSFRAX   L0002202 0.19127 0.80873
  MASSFRAX   L0002203 0.19127 0.80873
  MASSFRAX   L0002204 0.19127 0.80873
  MASSFRAX   L0002205 0.19127 0.80873
  MASSFRAX   L0002206 0.19127 0.80873
  MASSFRAX   L0002207 0.19127 0.80873
  MASSFRAX   L0002208 0.19127 0.80873
  MASSFRAX   L0002209 0.19127 0.80873
  MASSFRAX   L0002210 0.19127 0.80873
  MASSFRAX   L0002211 0.19127 0.80873
  MASSFRAX   L0002212 0.19127 0.80873
  MASSFRAX   L0002213 0.19127 0.80873
  MASSFRAX   L0002214 0.19127 0.80873
  MASSFRAX   L0002215 0.19127 0.80873
  MASSFRAX   L0002216 0.19127 0.80873
  MASSFRAX   L0002217 0.19127 0.80873
  MASSFRAX   L0002218 0.19127 0.80873
  MASSFRAX   L0002219 0.19127 0.80873
  MASSFRAX   L0002220 0.19127 0.80873
  MASSFRAX   L0002221 0.19127 0.80873
  MASSFRAX   L0002222 0.19127 0.80873
  MASSFRAX   L0002223 0.19127 0.80873
  MASSFRAX   L0002224 0.19127 0.80873
  MASSFRAX   L0002225 0.19127 0.80873
  MASSFRAX   L0002226 0.19127 0.80873
  MASSFRAX   L0002227 0.19127 0.80873
  MASSFRAX   L0002228 0.19127 0.80873
  MASSFRAX   L0002229 0.19127 0.80873
  MASSFRAX   L0002230 0.19127 0.80873
  MASSFRAX   L0002231 0.19127 0.80873
  MASSFRAX   L0002232 0.19127 0.80873
  MASSFRAX   L0002233 0.19127 0.80873
  MASSFRAX   L0002234 0.19127 0.80873
  MASSFRAX   L0002235 0.19127 0.80873
  MASSFRAX   L0002236 0.19127 0.80873
  MASSFRAX   L0002237 0.19127 0.80873
  MASSFRAX   L0002238 0.19127 0.80873
  MASSFRAX   L0002239 0.19127 0.80873
  MASSFRAX   L0002240 0.19127 0.80873
  MASSFRAX   L0002241 0.19127 0.80873
  MASSFRAX   L0002242 0.19127 0.80873
  MASSFRAX   L0002243 0.19127 0.80873
  MASSFRAX   L0002244 0.19127 0.80873
  MASSFRAX   L0002245 0.29516 0.70484
  MASSFRAX   L0002246 0.29516 0.70484
  MASSFRAX   L0002247 0.29516 0.70484
  MASSFRAX   L0002248 0.29516 0.70484
  MASSFRAX   L0002249 0.29516 0.70484
  MASSFRAX   L0002250 0.29516 0.70484
  MASSFRAX   L0002251 0.29516 0.70484
  MASSFRAX   L0002252 0.29516 0.70484
  MASSFRAX   L0002253 0.29516 0.70484
  MASSFRAX   L0002254 0.29516 0.70484
  PARTDENS   AREA01 1.5 1.5
  PARTDENS   AREA02 1.5 1.5
  PARTDENS   AREA03 1.5 1.5
  PARTDENS   AREA04 1.5 1.5
  PARTDENS   AREA05 1.5 1.5
  PARTDENS   AREA06 1.5 1.5
  PARTDENS   AREA07 1.5 1.5
  PARTDENS   AREA08 1.5 1.5
  PARTDENS   AREA09 1.5 1.5
  PARTDENS   AREA10 1.5 1.5
  PARTDENS   AREA11 1.5 1.5
  PARTDENS   OPIT1 1.5 1.5




(10-3394R1.doc)                                         Heggies Pty Ltd
                                        Appendix E
                                           Report 10-3394-R1
                                                  Page 9 of 9
                                EXAMPLE AERMOD INPUT FILE
  PARTDENS   OPIT2 1.5 1.5
  PARTDENS   VOL01 1.5 1.5
  PARTDENS   VOL02 1.5 1.5
  PARTDENS   VOL03 1.5 1.5
  PARTDENS   VOL04 1.5 1.5
  PARTDENS   VOL05 1.5 1.5
  PARTDENS   VOL06 1.5 1.5
  PARTDENS   VOL07 1.5 1.5
  PARTDENS   VOL08 1.5 1.5
  PARTDENS   VOL09 1.5 1.5
  PARTDENS   VOL10 1.5 1.5
  PARTDENS   VOL11 1.5 1.5
  PARTDENS   VOL12 1.5 1.5
  PARTDENS   VOL13 1.5 1.5
  PARTDENS   VOL14 1.5 1.5
  PARTDENS   VOL15 1.5 1.5
  PARTDENS   VOL16 1.5 1.5
  PARTDENS   VOL17 1.5 1.5
  PARTDENS   VOL18 1.5 1.5
  PARTDENS   L0000001 1.5 1.5
  PARTDENS   L0000002 1.5 1.5
  PARTDENS   L0000003 1.5 1.5
  PARTDENS   L0000004 1.5 1.5
  PARTDENS   L0000005 1.5 1.5
  PARTDENS   L0000006 1.5 1.5
  PARTDENS   L0000007 1.5 1.5
  PARTDENS   L0000008 1.5 1.5
  PARTDENS   L0000009 1.5 1.5
  PARTDENS   L0000010 1.5 1.5
  PARTDENS   L0000011 1.5 1.5
  PARTDENS   L0000012 1.5 1.5
  PARTDENS   L0000013 1.5 1.5
  PARTDENS   L0000014 1.5 1.5
  PARTDENS   L0000015 1.5 1.5
  PARTDENS   L0000016 1.5 1.5
  PARTDENS   L0000017 1.5 1.5
  PARTDENS   L0000018 1.5 1.5
  PARTDENS   L0000019 1.5 1.5
  PARTDENS   L0000020 1.5 1.5
  PARTDENS   L0000021 1.5 1.5
  PARTDENS   L0000022 1.5 1.5
  PARTDENS   L0000023 1.5 1.5
  PARTDENS   L0000024 1.5 1.5
  PARTDENS   L0000025 1.5 1.5
  PARTDENS   L0000026 1.5 1.5
  PARTDENS   L0000027 1.5 1.5
  PARTDENS   L0000028 1.5 1.5
  PARTDENS   L0000029 1.5 1.5
  PARTDENS   L0000030 1.5 1.5
  PARTDENS   L0000031 1.5 1.5
  PARTDENS   L0000032 1.5 1.5
  PARTDENS   L0000033 1.5 1.5
  PARTDENS   L0000034 1.5 1.5
  PARTDENS   L0002179 1.5 1.5
  PARTDENS   L0002180 1.5 1.5
  PARTDENS   L0002181 1.5 1.5
  PARTDENS   L0002182 1.5 1.5
  PARTDENS   L0002183 1.5 1.5
  PARTDENS   L0002184 1.5 1.5
  PARTDENS   L0002185 1.5 1.5
  PARTDENS   L0002186 1.5 1.5
  PARTDENS   L0002187 1.5 1.5
  PARTDENS   L0002188 1.5 1.5
  PARTDENS   L0002189 1.5 1.5
  PARTDENS   L0002190 1.5 1.5
  PARTDENS   L0002191 1.5 1.5
  PARTDENS   L0002192 1.5 1.5
  PARTDENS   L0002193 1.5 1.5
  PARTDENS   L0002194 1.5 1.5
  PARTDENS   L0002195 1.5 1.5
  PARTDENS   L0002196 1.5 1.5
  PARTDENS   L0002197 1.5 1.5
  PARTDENS   L0002198 1.5 1.5
  PARTDENS   L0002199 1.5 1.5
  PARTDENS   L0002200 1.5 1.5
  PARTDENS   L0002201 1.5 1.5
  PARTDENS   L0002202 1.5 1.5
  PARTDENS   L0002203 1.5 1.5
  PARTDENS   L0002204 1.5 1.5
  PARTDENS   L0002205 1.5 1.5
  PARTDENS   L0002206 1.5 1.5
  PARTDENS   L0002207 1.5 1.5
  PARTDENS   L0002208 1.5 1.5
  PARTDENS   L0002209 1.5 1.5
  PARTDENS   L0002210 1.5 1.5
  PARTDENS   L0002211 1.5 1.5
  PARTDENS   L0002212 1.5 1.5
  PARTDENS   L0002213 1.5 1.5
  PARTDENS   L0002214 1.5 1.5
  PARTDENS   L0002215 1.5 1.5
  PARTDENS   L0002216 1.5 1.5
  PARTDENS   L0002217 1.5 1.5
  PARTDENS   L0002218 1.5 1.5
  PARTDENS   L0002219 1.5 1.5
  PARTDENS   L0002220 1.5 1.5
  PARTDENS   L0002221 1.5 1.5




(10-3394R1.doc)                                 Heggies Pty Ltd
                                                                                      Appendix E
                                                                                         Report 10-3394-R1
                                                                                             Page 10 of 10
                                                                              EXAMPLE AERMOD INPUT FILE
   PARTDENS L0002222 1.5 1.5
   PARTDENS L0002223 1.5 1.5
   PARTDENS L0002224 1.5 1.5
   PARTDENS L0002225 1.5 1.5
   PARTDENS L0002226 1.5 1.5
   PARTDENS L0002227 1.5 1.5
   PARTDENS L0002228 1.5 1.5
   PARTDENS L0002229 1.5 1.5
   PARTDENS L0002230 1.5 1.5
   PARTDENS L0002231 1.5 1.5
   PARTDENS L0002232 1.5 1.5
   PARTDENS L0002233 1.5 1.5
   PARTDENS L0002234 1.5 1.5
   PARTDENS L0002235 1.5 1.5
   PARTDENS L0002236 1.5 1.5
   PARTDENS L0002237 1.5 1.5
   PARTDENS L0002238 1.5 1.5
   PARTDENS L0002239 1.5 1.5
   PARTDENS L0002240 1.5 1.5
   PARTDENS L0002241 1.5 1.5
   PARTDENS L0002242 1.5 1.5
   PARTDENS L0002243 1.5 1.5
   PARTDENS L0002244 1.5 1.5
   PARTDENS L0002245 1.5 1.5
   PARTDENS L0002246 1.5 1.5
   PARTDENS L0002247 1.5 1.5
   PARTDENS L0002248 1.5 1.5
   PARTDENS L0002249 1.5 1.5
   PARTDENS L0002250 1.5 1.5
   PARTDENS L0002251 1.5 1.5
   PARTDENS L0002252 1.5 1.5
   PARTDENS L0002253 1.5 1.5
   PARTDENS L0002254 1.5 1.5
   SRCGROUP SRCGP1 AREA01 AREA02 AREA03 AREA04 AREA05 AREA06 AREA07 AREA08
   SRCGROUP SRCGP1 AREA09 AREA10 OPIT1 OPIT2 L0000001 L0000002 L0000003
   SRCGROUP SRCGP1 L0000004 L0000005 L0000006 L0000007 L0000008 L0000009
   SRCGROUP SRCGP1 L0000010 L0000011 L0000012 L0000013 L0000014 L0000015
   SRCGROUP SRCGP1 L0000016 L0000017 L0000018 L0000019 L0000020 L0000021
   SRCGROUP SRCGP1 L0000022 L0000023 L0000024 L0000025 L0000026 L0000027
   SRCGROUP SRCGP1 L0000028 L0000029 L0000030 L0000031 L0000032 L0000033
   SRCGROUP SRCGP1 L0000034 L0002179 L0002180 L0002181 L0002182 L0002183
   SRCGROUP SRCGP1 L0002184 L0002185 L0002186 L0002187 L0002188 L0002189
   SRCGROUP SRCGP1 L0002190 L0002191 L0002192 L0002193 L0002194 L0002195
   SRCGROUP SRCGP1 L0002196 L0002197 L0002198 L0002199 L0002200 L0002201
   SRCGROUP SRCGP1 L0002202 L0002203 L0002204 L0002205 L0002206 L0002207
   SRCGROUP SRCGP1 L0002208 L0002209 L0002210 L0002211 L0002212 L0002213
   SRCGROUP SRCGP1 L0002214 L0002215 L0002216 L0002217 L0002218 L0002219
   SRCGROUP SRCGP1 L0002220 L0002221 L0002222 L0002223 L0002224 L0002225
   SRCGROUP SRCGP1 L0002226 L0002227 L0002228 L0002229 L0002230 L0002231
   SRCGROUP SRCGP1 L0002232 L0002233 L0002234 L0002235 L0002236 L0002237
   SRCGROUP SRCGP1 L0002238 L0002239 L0002240 L0002241 L0002242 L0002243
   SRCGROUP SRCGP1 L0002244 VOL01 VOL02 VOL03 VOL04 VOL05 VOL06 VOL07 VOL08
   SRCGROUP SRCGP1 VOL09 VOL10 VOL11 VOL12 VOL13 VOL14 VOL15 VOL16
   SRCGROUP ALL
SO FINISHED
****************************************
** AERMOD Receptor Pathway
****************************************
RE STARTING
   INCLUDED BPQ_s1.rou
RE FINISHED
****************************************
** AERMOD Meteorology Pathway
****************************************
ME STARTING
   SURFFILE KIAMA_2008.SFC
   PROFFILE KIAMA_2008.PFL
   SURFDATA 1 2008
   UAIRDATA 0 2008
   PROFBASE 10 METERS
ME FINISHED
****************************************
** AERMOD Output Pathway
****************************************
OU STARTING
   RECTABLE ALLAVE 1ST
   RECTABLE 24 1ST
   POSTFILE 24 ALL PLOT 24GALLFO.POS
   POSTFILE 24 SRCGP1 PLOT 24GSRCFO.POS
** Auto-Generated Plotfiles
   PLOTFILE 24 ALL 1ST 24H1GALL.PLT
   PLOTFILE ANNUAL ALL AN00GALL.PLT
   PLOTFILE 24 SRCGP1 1ST 24H1G001.PLT
   PLOTFILE ANNUAL SRCGP1 AN00G001.PLT
OU FINISHED
****************************************
** Project Parameters
****************************************
** PROJCTN CoordinateSystemUTM
** DESCPTN UTM: Universal Transverse Mercator
** DATUM    World Geodetic System 1984
** DTMRGN   Global Definition
** ZONE     -56
**




(10-3394R1.doc)                                                                               Heggies Pty Ltd
                                                                                                       Appendix F
                                                                                                            Report 10-3394-R1
                                                                                                                   Page 1 of 4
                                                   PARTICULATE MATTER EMISSION FACTOR CALCULATIONS


         Table F1 through to Table F7 below provide information on the raw data used as input to
         emission factor estimations. Emission factor equations used within this assessment are
         presented in Table 8.

         Table F1 Mining Related Emissions – Operational Hours

          Scenario                                Activity                                  Hours of Operation
          All                                     Extractive Operations Processing          24 hours / 7 days
                                                  Plant and Product Distribution
          Scenario 1a                             Bund Construction                         12 hours / 7 days



         Table F2 Assorted Parameters used in Emissions Estimation

          Parameter               Value                   Units                    Source                   Notes
          Silt Content            6                       %                        Hanson                   Applied to extracted
                                                                                                            material and haul
                                                                                                            roads
                                  10                      %                        Hanson                   Applied to
                                                                                                            Construction Sand
                                  10                      %                        Assumed                  Applied to Bund
                                                                                                            Construction
          Moisture Content        1                       %                        US EPA                   Applied to extracted
                                                                                                            material and haul
                                                                                                            roads
                                  5                       %                        Hanson                   Applied to
                                                                                                            Construction Sand
                                  5                       %                        Assumed                  Applied to Bund
                                                                                                            Construction
          Area / Blast            1,225                   m2                       Hanson                   Area per blast

          Holes drilled per       2                       number of holes          Assumed                  Constant
          hour
          Blasts per year         24                      Number of blasts         Hanson                   2 Blasts per month




         Table F4 Area of Wind Erosion Sources used in Dispersion Modelling (ha)

          Project Year           Processing Plant         Bund                    Exposed                  Extraction Pits
                                 Stockpiles               Construction            Surfaces
          Scenario 1             0.1                      N/A                     28.4                     32.1
          Scenario 1a            0.1                      4.9                     28.4                     32.1
          Scenario 2             0.4                      N/A                     12.9                     65.5
          Scenario 3             0.4                      N/A                     9.6                      52.3
          Note: Processing plant stockpiling values are cumulative of all stockpiles and assume only 10% of each are active in
                   any given hour
          Note: Extraction Pit area assumes relates to pit bottom area




(10-3394R1.doc)                                                                                                   Heggies Pty Ltd
                                                                                                        Appendix F
                                                                                                            Report 10-3394-R1
                                                                                                                   Page 2 of 4
                                                     PARTICULATE MATTER EMISSION FACTOR CALCULATIONS

         Table F5 Haulage Parameters used in Emissions Estimation

          Project          Extraction Pit                     Unsealed Product                    Sealed Product
          Year
                           Haul Road          Daily Truck     Haul Road         Daily Truck       Haul Road        Daily Truck
                           Distance           Loads           Distance          Loads             Distance         Loads
                           (km)                               (km)                                (km)
          Scenario 1       1.1                46              0.3               106               0.9              106
          Scenario 1a      1.1                46              0.3               106               0.9              106
          Scenario 2       0.8                73              0.6               168               0.7              168
          Scenario 3       0.8                122             0.6               257               0.7              257



         Table F6 Meteorological data required for Emissions Estimation

          Parameter                     Value                          Units                            Source
          Mean wind speed               5.3                            m/s                              Based Kiama (Bombo)
                                                                                                        AWS data
          Percentage of time when       42                             %                                Based Kiama (Bombo)
          wind speed > 5.4 m/s                                                                          AWS data
          Average hourly                0.16                           mm/hr                            Based on long term
          evaporation rate                                                                              average data for SE
                                                                                                        Australia from BoM
          Number of days with           105                            days                             Based BoM regional
          rainfall > 0.25 mm                                                                            averages



         Table F7 Project Extraction Rates

          Modelling Scenario                        Raw Material (Mtpa)                    Bund Construction (Mtpa)
          Scenario 1                                1.5                                    N/A
          Scenario 1a                               1.5                                    0.49
          Scenario 2                                2.4                                    N/A
          Scenario 3                                4.0                                    N/A
          Note: Based on area of 4.9 ha, constant bund height of 5 m and soil density of 2 t/m3




(10-3394R1.doc)                                                                                                   Heggies Pty Ltd
                                                                                                                                                         Appendix F
                                                                                                                                                              Report 10-3394-R1
                                                                                                                                                                     Page 3 of 4
                                                                                                        PARTICULATE MATTER EMISSION FACTOR CALCULATIONS


            Table F8 Emission Factor Equations

Activity                Emission Factor Equation                                    Units      Source                Variables
Drilling                Default of 0.59 for TSP                                     kg/hole    NPI EETMM v2.3
                        Default of 0.31 for PM10
                        10% of PM10 for PM2.5                                                  WRAP (2006)
Blasting
                        0.00022 × A1.5             for TSP
                                                                                    kg/blast   NPI EETMM v2.3        A = Area Blasted (m2)

                        As above multiplied by 0.52 for PM10
                        10% of PM10 for PM2.5                                                  WRAP (2006)

                        k × 0.0016 × (U / 2.2) × ( M / 2) −1.4
FEL Handling Material                                      1.3                      kg/tonne   USEPA AP-42 13.2.4    k = 0.74 (TSP)
                                                                                                                     k = 0.35 (PM10)
                        15% of PM10 for PM2.5                                                  WRAP (2006)           U = mean wind speed (m/s)
                                                                                                                     M = Moisture content (%)
Unsealed haul route                 0 .7           0.45                             kg/VKT     USEPA AP-42 13.2.2    k = 4.9 (TSP), k = 1.5 (PM10)
                            s             W              281.9   365 − p 
wheel dust              k ×              ×             ×       ×                                             s = silt content (%), W = vehicle gross mass (tonnes)
                            12             3             1000   365                                          p = number of days in year with rainfall greater than 0.25mm

                        10% of PM10 for PM2.5                                                  WRAP (2006)
Unsealed haul route       sL      0.65
                                             W 
                                                    1. 5
                                                                           P 
                                                                                    g/VKT      USEPA AP-42 13.2.1    k = 24 (TSP)
wheel dust              k ×              ×            − 0.1317  × 1 −                                        k = 4.6 (PM10)
                          2                3                     (1460 ) 
                                                                               
                                                                                                                   sL = silt loading (g/m2), W = vehicle gross mass (tonnes)
                                                                                                                     p = number of days in year with rainfall greater than 0.25mm
                        10% of PM10 for PM2.5                                                  WRAP (2006)
Screening               Default of 0.0125 for TSP                                   kg/tonne   USEPA AP-42 11.19.2
                        Default of 0.0043 for PM10
                        15% of PM10 for PM2.5                                                  WRAP (2006)
Stockpile and Boat      Default of 0.0015 for TSP                                   kg/tonne   USEPA AP-42 11.19.2
Loading
                        Default of 0.00055 for PM10
                        15% of PM10 for PM2.5                                                  WRAP (2006)
Material Unloading      TSP =As below multiplied by 2                               kg/tonne   USEPA AP-42 11.19.2
                        Default of 0.00005 for PM10
                        15% of PM10 for PM2.5                                                  WRAP (2006)




  (10-3394R1.doc)                                                                                                                                                    Heggies Pty Ltd
                                                                                                                                              Appendix F
                                                                                                                                                   Report 10-3394-R1
                                                                                                                                                          Page 4 of 4
                                                                                                 PARTICULATE MATTER EMISSION FACTOR CALCULATIONS

Activity                Emission Factor Equation                           Units        Source           Variables
                                                   −1.3
Dozer on Bund           TSP = 2.6 × s   1.2
                                              ×M                           kg/hr        NPI EETMM v2.3   s=silt content (%)
Construction                                                                                             M=Moisture content (%)
                        PM10 = 0.34 × s1.5 × M −1.4
                        15% of PM10 for PM2.5                                           WRAP (2006)

                        TSP = 1.9 ×  s  × 365 ×  365 − p  ×  f 
Wind Erosion – Active                                                      kg/ha/year   NPI EETMM v2.3   s = silt content (%)
Stockpiles                                                                                         p = number of days in year with rainfall greater than 0.25mm
                                      1.5                235   15                                  f = percentage of time that wind speed is greater than 5.4 m/s at
                        PM10=As above multiplied by 0.5                                                  the mean height of the stockpile

                        15% of PM10 for PM2.5                                           WRAP (2006)
Wind Erosion            Default of 0.4 for TSP                             kg/ha/hour   NPI EETMM v2.3
                        Default of 0.2 for PM10
                        15% of PM10 for PM2.5                                           WRAP (2006)




  (10-3394R1.doc)                                                                                                                                         Heggies Pty Ltd
                                                                            Appendix G
                                                                                Report 10-3394-R1
                                                                                       Page 1 of 1
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM10 CONCENTRATIONS

Figure G1 – Predicted Incremental 24-hour Average PM10 Concentrations – Scenario 1 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix G
                                                                                Report 10-3394-R1
                                                                                       Page 2 of 2
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM10 CONCENTRATIONS

Figure G2 – Predicted Incremental 24-hour Average PM10 Concentrations – Scenario 1a (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix G
                                                                                Report 10-3394-R1
                                                                                       Page 3 of 3
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM10 CONCENTRATIONS

Figure G3 – Predicted Incremental 24-hour Average PM10 Concentrations – Scenario 2 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix G
                                                                                Report 10-3394-R1
                                                                                       Page 4 of 4
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM10 CONCENTRATIONS

Figure G4 – Predicted Incremental 24-hour Average PM10 Concentrations – Scenario 3 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix H
                                                                                Report 10-3394-R1
                                                                                       Page 1 of 1
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM10 CONCENTRATIONS

Figure H1 – Predicted Incremental Annual Average PM10 Concentrations – Scenario 1 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                           Appendix H
                                                                               Report 10-3394-R1
                                                                                      Page 2 of 2
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM10 CONCENTRATIONS

Figure H2 – Predicted Incremental Annual Average PM10 Concentrations – Scenario 1a (µg/m3)




(10-3394R1.doc)                                                                     Heggies Pty Ltd
                                                                            Appendix H
                                                                                Report 10-3394-R1
                                                                                       Page 3 of 3
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM10 CONCENTRATIONS

Figure H3 – Predicted Incremental Annual Average PM10 Concentrations – Scenario 2 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix H
                                                                                Report 10-3394-R1
                                                                                       Page 4 of 4
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM10 CONCENTRATIONS

Figure H4 – Predicted Incremental Annual Average PM10 Concentrations – Scenario 3 (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                               Appendix I
                                                                                 Report 10-3394-R1
                                                                                        Page 1 of 1
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM2.5 CONCENTRATIONS

Figure I1 – Predicted Incremental 24-hour Average PM2.5 Concentrations – Scenario 1 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                               Appendix I
                                                                                 Report 10-3394-R1
                                                                                        Page 2 of 2
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM2.5 CONCENTRATIONS

Figure I2 – Predicted Incremental 24-hour Average PM2.5 Concentrations – Scenario 1a (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                               Appendix I
                                                                                 Report 10-3394-R1
                                                                                        Page 3 of 3
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM2.5 CONCENTRATIONS

Figure I3 – Predicted Incremental 24-hour Average PM2.5 Concentrations – Scenario 2 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                               Appendix I
                                                                                 Report 10-3394-R1
                                                                                        Page 4 of 4
                          PREDICTED INCREMENTAL 24-HOUR AVERAGE PM2.5 CONCENTRATIONS

Figure I4 – Predicted Incremental 24-hour Average PM2.5 Concentrations – Scenario 3 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                             Appendix J
                                                                                 Report 10-3394-R1
                                                                                        Page 1 of 1
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM2.5 CONCENTRATIONS

Figure J1 – Predicted Incremental Annual Average PM2.5 Concentrations – Scenario 1 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                             Appendix J
                                                                                Report 10-3394-R1
                                                                                       Page 2 of 2
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM2.5 CONCENTRATIONS

Figure J2 – Predicted Incremental Annual Average PM2.5 Concentrations – Scenario 1a (µg/m3)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                             Appendix J
                                                                                 Report 10-3394-R1
                                                                                        Page 3 of 3
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM2.5 CONCENTRATIONS

Figure J3 – Predicted Incremental Annual Average PM2.5 Concentrations – Scenario 2 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                             Appendix J
                                                                                 Report 10-3394-R1
                                                                                        Page 4 of 4
                           PREDICTED INCREMENTAL ANNUAL AVERAGE PM2.5 CONCENTRATIONS

Figure J4 – Predicted Incremental Annual Average PM2.5 Concentrations – Scenario 3 (µg/m3)




(10-3394R1.doc)                                                                       Heggies Pty Ltd
                                                                            Appendix K
                                                                               Report 10-3394-R1
                                                                                      Page 1 of 1
                           PREDICTED INCREMENTAL ANNUAL AVERAGE TSP CONCENTRATIONS

Figure K1 – Predicted Incremental Annual Average TSP Concentrations – Scenario 1 (µg/m3)




(10-3394R1.doc)                                                                     Heggies Pty Ltd
                                                                           Appendix K
                                                                               Report 10-3394-R1
                                                                                      Page 2 of 2
                           PREDICTED INCREMENTAL ANNUAL AVERAGE TSP CONCENTRATIONS

Figure K2 – Predicted Incremental Annual Average TSP Concentrations – Scenario 1a (µg/m3)




(10-3394R1.doc)                                                                     Heggies Pty Ltd
                                                                            Appendix K
                                                                               Report 10-3394-R1
                                                                                      Page 3 of 3
                           PREDICTED INCREMENTAL ANNUAL AVERAGE TSP CONCENTRATIONS

Figure K3 – Predicted Incremental Annual Average TSP Concentrations – Scenario 2 (µg/m3)




(10-3394R1.doc)                                                                     Heggies Pty Ltd
                                                                            Appendix K
                                                                               Report 10-3394-R1
                                                                                      Page 4 of 4
                           PREDICTED INCREMENTAL ANNUAL AVERAGE TSP CONCENTRATIONS

Figure K4 – Predicted Incremental Annual Average TSP Concentrations – Scenario 3 (µg/m3)




(10-3394R1.doc)                                                                     Heggies Pty Ltd
                                                                            Appendix L
                                                                                Report 10-3394-R1
                                                                                       Page 1 of 1
                       PREDICTED INCREMENTAL MONTHLY AVERAGE DUST DEPOSITION LEVELS

Figure L1 – Predicted Incremental Monthly Average Dust Deposition Levels – Scenario 1 (g/m2/month)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix L
                                                                                Report 10-3394-R1
                                                                                       Page 2 of 2
                       PREDICTED INCREMENTAL MONTHLY AVERAGE DUST DEPOSITION LEVELS

Figure L2 – Predicted Incremental Monthly Average Dust Deposition Levels – Scenario 1a (g/m2/month)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix L
                                                                                Report 10-3394-R1
                                                                                       Page 3 of 3
                       PREDICTED INCREMENTAL MONTHLY AVERAGE DUST DEPOSITION LEVELS

Figure L3 – Predicted Incremental Monthly Average Dust Deposition Levels – Scenario 2 (g/m2/month)




(10-3394R1.doc)                                                                      Heggies Pty Ltd
                                                                            Appendix L
                                                                                Report 10-3394-R1
                                                                                       Page 4 of 4
                       PREDICTED INCREMENTAL MONTHLY AVERAGE DUST DEPOSITION LEVELS

Figure L4 – Predicted Incremental Monthly Average Dust Deposition Levels – Scenario 3 (g/m2/month)




(10-3394R1.doc)                                                                      Heggies Pty Ltd

								
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