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					Institute for Environment and Sustainability             1




                                               POMI
        Emission inventory: characteristics and status




                    Kick-off Meeting
                      07/03/2008
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                          2



• Steps for the preparation of base-case emissions dataset for POMI
         – Collection of regional + national + EMEP emission inventories
         – Emissions defined at municipal level for the whole Po Valley
         – Selection of pollutants
         – Gridding of municipal emissions (different grid resolutions)
         – Time modulation of gridded emissions (different geographic zones)

• Problems and issues still open
         – Incompleteness of some 2005 regional emission inventories (INEMAR)
         – Incompleteness of the 2005 national emission inventory (prov. level)
         – Choice and definition of substitutive dataset for the first phase of POMI
         – Time plan for the final update of 2005 regional and national inventories
         – Methodological aspects of the data processing
         – Planned improvements of inventories
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                 3




Extension and grid resolution of the emission dataset - overview
       Mosaic of regional + national + EMEP emission inventories



Regional (INEMAR)
(3km x 3km grid)


 National EI
 (6km x 6km grid)




  EMEP
  (50km x 50km)
                                                 POMI : Emission inventories
  Institute for Environment and Sustainability                                     4




RESOLUTION of the emission dataset: INITIAL SETUP AND PLANNING

      – Availability and use of regional INEMAR 2005 from all the regions of Po Valley
      – Pollutant emissions defined at municipal level for the regions participating to
        the Po Valley exercise
      – Pollutant emissions defined at provincial level for the other regions (APAT EI)
      – EMEP to cover the rest of the domain outside Italy

          EMEP 2005
          National emissions
          (SNAP Macrosectors)

        INEMAR 2005
        for the Regions of Po Valley
         using INEMAR
        Municipal emissions
        (SNAP Activities)

        National Emission Inv.
        (APAT – 2005 - provinces)
        (SNAP activities)
                                                 POMI : Emission inventories
  Institute for Environment and Sustainability                                   5




Emission dataset: ACTUAL STAUS OF COMPLETENESS
      – INEMAR 2005 - Complete only for two regions (Lombardia + Piemonte)
      – Other regions could supply part of the inventory (point sources…)
      – APAT 2005 national emission inventory – Complete but only the national
        totals (not yet at provincial level)


 EMEP 2005
 National emissions


 INEMAR 2005
 Lombardy + Piemonte
 Municipal emissions



 National Emission Inv.
 (APAT – 2005 - totals)
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                          6



PROPOSED base-case emission inventory (for the first step of POMI)
       – INEMAR 2005 – Only for Lombardy (To maintain homogeneity in the wide
         domain outside)
       – CESI - 2000 national emission inventory disaggregated at municipal level
         (attività di ricerca sul Sistema Elettrico)  to be scaled to the year 2005


 EMEP 2005
 National emissions


   INEMAR 2005
   Lombardy


 CESI - 2000 National
 Emission Inventory at
 municipal level

  SCALING TO 2005
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                         7




PROPOSED base-case emission inventory (for the first step of POMI)

       REGIONAL INVENTORIES:
       – INEMAR 2005 has been selected only for Lombardy (for consistency)
       – Inclusion of all the INEMAR regional inventories is postponed to the next
         phase (INEMAR 2007 directly?)

       NATIONAL INVENTORY:
       – APAT is going to finalize the 2005 national inventory disaggregated at
         provincial level, but it is not ready yet.
       – POMI exercise will start with the available data. Inclusion of the updated
         2005 national inventory at provincial level is postponed to the next phase


        How to manage the data available at national level?
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                       8




HOW TO MANAGE THE DATA AVAILABLE AT NATIONAL LEVEL (1)

     FIRST POSSIBILITY:
     – To use the completed parts of APAT 2005 national emission inventory
        disaggregated at provincial level and do some assumption + scaling for the
        missing data
     Problems:
     – Some SNAP macrosectors are not available yet (especially point sources).
        How to complete the missing information at provincial level?
     – The disaggregation at municipal level should be done (or we just grid the
        emission data starting from provincial emissions?)

                                                            Provincial emissions?

                 APAT 2005 - incomplete                      POMI 2005
                 (provincial data)                           ADJUSTED
                                                             INVENTORY

                                                             Municipal disagg?
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                                    9




HOW TO MANAGE THE DATA AVAILABLE AT NATIONAL LEVEL (2)

     PROPOSED SOLUTION:
     – scaling of APAT 2005 national total emissions according to CESI municipal
       disaggregation of APAT national inventory 2000
     – Main assumption: the spatial proxies have not changed too much
     – CESI has already sent the data and given the official authorization



                                                                            SCALED POMI
               APAT 2005                                                    INVENTORY 2005
               (national)
                                                      CESI 2000             (municipal disagg)
                                                      (municipal disagg.)




                   Scaling for consistency across scales? (EMEP  PoValley  Lombardy)
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                 10




SELECTED POLLUTANTS

     PROPOSED SET OF POLLUTANTS:



     – INEMAR: SOx, NOx, COV, CH4, CO, CO2, NH3, N2O, PTS, PM10, PM2.5

     – CESI disaggregation of APAT inventory: SOx, NOx, COV, CO, NH3, PM10



     POMI: PM2.5, PM10, NH3, VOC, SO2, NO, NO2, CO
                                                 POMI : Emission inventories
  Institute for Environment and Sustainability                                              11




GRIDDING OF THE POMI EMISSION INVENTORY (1)
      – GRIDDING OF EMISSIONS AT DIFFERENT SPATIAL RESOLUTIONS:




                                                    3 km

                                                                            Number of
                              6 km                                            cells      Resol.
                                                                Po-Valley    95 x 65      6 km
                                                                Lombardy     80 x 80      3 km
 50 km                                                          EMEP        To be def.   (50 km)
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                               12




GRIDDING OF THE POMI EMISSION INVENTORY (2)
        – SPATIAL DISAGGREGATION OF MUNICIPAL ANNUAL EMISSIONS:
                     •     POINT SOURCES as separate entities
                     •     DIFFUSE municipal emissions allocated to sub-municipal spatial entities
                     •     Disaggregation based on different LAND USE ASSIGNATION PROFILES
                     •     PROFILES are specific for each emission source sector and land use
                     •     Land use: CORINE Land Cover (Level 3)
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                                                                                      13




GRIDDING OF THE POMI EMISSION INVENTORY (3)
       – SPATIAL DISAGGREGATION WITH LAND USE WEIGHTING PROFILES :
                   • Emissions are distributed, per sector, among different CORINE land use
                     classes according to their respective weighting factors.
                   • weighting factors were derived from the calculation of “emission density”
                     of each emission sector in each land use type




                   • Method established in the EC-founded IMPRESAERO project**
                   • Same method used in the City-Delta project: refinement of Land Use
                     assignation profiles for Lombardy (Maffeis, G. et al.)

     **Winiwarter, W.; Vlachogiannis, D.; Gounaris, N.; Bartzis, J.; Ekstrand, S.; Tamponi, M.; Maffeis, G.; Licotti, C.; Dore, C.; Hayman, G. (2001):
     Final Method Evaluation: Development of Spatially Resolved Emission Inventories for Milan and Athens; WP8000 of the EC research project
     IMPRESAREO; ARC Seibersdorf research Report, ARC-S-0154, 60 pages.
                                               POMI : Emission inventories
Institute for Environment and Sustainability                                 14



    IMPRESAERO – Different levels of accuracy




Point sources (and line sources) treated as separated entities
Point sources should be geo-located as points
 •Which point sources will be considered as separated entities? (Truncation)
 •are stacks characteristics available for plume rise calculation?
 •INEMAR OK – geo-located sources
 •In CESI 2000? (or APAT) are point sources specified?
 •Line sources available only with INEMAR – not available outside Lombardy at
 present
                                               POMI : Emission inventories
Institute for Environment and Sustainability                                     15




        SPATIAL DISAGGREGATION WITH LAND USE WEIGHTING PROFILES
        – Already tested at the JRC (central part of Po Valley) – INEMAR emissions
        – Solved the problem of Corine in Switzerland

        – Disaggregation: only diffuse emissions (for each municipality)
        – Point sources and linear sources are considered separately
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                                                                                                                                                                                          16




TEMPORAL DISAGGREGATION OF THE POMI EMISSION GRIDS

       City Delta time profiles (G.Maffeis et al.)
       – A classification of all the cells of the domain in climatic zones will be done
       – Coefficients for the application of time disaggregation profiles will be supplied
          by the JRC and applied by the modellers

       – Mainly based on the following factors:                                                                 2,0


                                                                                                                1,8




                   •
                                                                                                                1,6



                         Type of pollutant                                                                      1,4


                                                                                                                1,2




                   •     Source sector (SNAP)                                                                   1,0


                                                                                                                0,8




                   •     Quota and climatic zone (degrees-day of the municipality)
                                                                                                                0,6


                                                                                                  2,5           0,4

                                                                                                                                                         Winter Working day                      Winter Prefestive day                     Winter Festive day               Spring Working day
                                                                                                                0,2         CO



                   •
                                                                                                                                                         Spring Prefestive day                   Spring Festive day                        Summer Working day               Summer Prefestive day



                         Season (winter, spring, summer and autumn)
                                                                                                                            NOx
                                                                                                                                                         Summer Festive day                      Autumn Working day                        Autumn Prefestive day            Autumn Festive day
                                                                                                   2                -       SO2
                                                                                                                            1NH32           3        4       5       6       7     8       9      10     11      12     13      14        15     16    17    18      19    20    21    22   23   24
                                                                                                                             VOC
                                                                                                                            CH4



                   •     Day of week (week days, holiday days and pre-holiday days)               1,5




                   •
                                                                                                   1


                         Daily variation (along 24 hours)                                         Winter Working day                Winter Prefestive day                          Winter Festive day                        Spring Working day
                                                                              4,000               0,5
                                                                                                  Spring Prefestive day             Spring Festive day                             Summer Working day                        Summer Prefestive day
                                                                                                  Summer Festive day                Autumn Working day                             Autumn Prefestive day                     Autumn Festive day
                                                                              3,500

                                                                                                   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
                                                                              3,000



                                                                              2,500



                                                                              2,000



                                                                              1,500


           CTN ACE time profiles are another option                           1,000



                                                                              0,500



                                                                               -
                                                                                      1   2   3     4     5     6       7     8         9       10       11      12      13      14    15      16      17     18      19        20        21     22    23    24
                                                   POMI : Emission inventories
    Institute for Environment and Sustainability                                 17




DISTRIBUTION OF POMI EMISSION DATA

•        Emission data generated by the JRC
•        An ftp server is ready for data exchange
•        CD/DVD could be a further option

GRID resolution and geographic coordinate system

            – Geographic re-projection of the proposed
              according to specific model needs?


Data format

            – City Delta data format
            – Other options?
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                                         18




Planned improvements of inventories (1)

•Survey on residential wood combustion                                 characteristics of the house
                                                                       combustion system used
                                                                       frequency residential use of wood;
                                                                       kind and quantity of wood used
                                                                       trend of wood consumption.



•Application of Copert4 to the national emission dataset on the whole Po Valley
    Using a refined vehicle fleet distribution – already elaborated for all the
    municipalities
                                                POMI : Emission inventories
 Institute for Environment and Sustainability                                                                      19




Planned improvements of inventories (2)

•Transport model for the PO valley




                                                Transport                Transport
                                                  OFFER                   DEMAND




                                                              Traffic
                                                            Assignment




                                                                                     • Call for tender: fall/summer 2008
                                                                                     • Output: CES early/fall 2010
                                                                                     • JRC will collaborate

 Planned improvements of inventories: to be used at future stages of POMI

				
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posted:4/23/2011
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