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							Fine Atmospheric Particles:
 Do we need to worry about
 them??
Almost all combustion
 leads to the formation of
 fine particles
   Mastery of Fire


400,000 years ago in Europe

100,000 years ago in Africa

              M. N. Cohne, 1977
Ultimately we learned how
to use fire to clear land for
            crops
In China 2000 years ago the Loess
Plateau was the cradle of ancient Chinese
civilization. Deforestation due to:

     Firewood collection
     Charcoal making
     Creation of farm land
     Brick making

resulted in a much drier and less
productive climate
• North American Indians used to burn
  forested areas to promote the
  growth of food ”sprouts”

• In Mexico deforestation often lead to
  soil erosion and drier climates (800-
  1400 before present-BP)
When fire was brought inside the
home very large smoke exposures
resulted:
 These exposures are often much
  higher in the developing world than
  in the industrialized world

 Women tend to spend more time
  around unvented fires than men
In Nepal females and their very
 young children receive much higher
 exposures to indoor fires than males
 (Kirk Smith, 1983)

Average cooking time is 2.8 hours

Prevalence of chronic bronchitis is
 related to hours spent near the stove
 Exposures are indoors as well as
outdoors Picture by Kirk Smith, India, early 1980s
After a few hours
Acute Respiratory Infections/6 month in
Rural Nepal Infants vs. time Near Stove
              (M. R. Panday, 1984)

   hours    Mild      Moderate Severe
 near stove
  0 to 0.9  1.7          0.3         0.05

   1 to 1.9     2.1      0.5         0.08

   2 to 3.9     2.3      0.6         0.7

       4+       1.8      1.0         2.8
Acute Respiratory Infections in Rural
 Nepal Infants vs. time Near Stove
            (M. R. Panday, 1984)

  hours    Mild     Moderate Severe
near stove
 0 to 0.9  1.7         0.3         0.05

 1 to 1.9     2.1      0.5         0.08

 2 to 3.9     2.3      0.6         0.7

     4+       1.8      1.0         2.8
Acute Respiratory Infections in Rural
 Nepal Infants vs. time Near Stove
            (M. R. Panday, 1984)

  hours    Mild     Moderate Severe
near stove
 0 to 0.9  1.7         0.3         0.05

 1 to 1.9     2.1      0.5         0.08

 2 to 3.9     2.3      0.6         0.7

     4+       1.8      1.0         2.8
    Comparative Particulate
    Concentrations in mg/m3
• U.S. Standard (PM2.5)       65
• Sydney (1996)             ~25
• Traffic- Denmark            60
• London Smog (1952)      4,500
• Muese, Belgium         12,500
• Indian village          1,000
  (Indoors )             56,000
• Malaysia (1997, PM2.5)     800
• Thailand (1998, PM2.5)     300
Combustion forms a host of toxics that
  are associated with soot particles


 • Polynuclear aromatic hydrocarbons
   (PAH)
 • Chlorinated dioxins and furans
 • Aldehydes and carbonyl compounds
Polynuclear Aromatic Hydrocarbons (PAH)
   as a class of compounds are considered
              potential carcinogens
Combustion Formation of PAH
                        Badger and Spotswood 1960


                        C
                                               C                    C
  C                 C                              C                    C
  C                 C
                       C                                                C
  (I)               (II)               (III)                 (IV)   C


   Benzo a Pyrene




          (VII)                     (VI)               (V)
Combustion Formation of Dioxins from
      Polychlorinated phenol

             OH
                                                               C lx
                               OH .

    C lx                       Flame
                                                          .O
    Polychlorinated                              OH   +
    Phenol



                                        C ly



                                               + OH                         O
                      O
                                 C ly
     C lx                 OH                               C lx             O            C ly

                                                                  Chlorinated dibenzo dioxin



                                                                   Shaub & Tsang, ES&T 1983.
Fresh wood soot in outdoor chambers (0.5
mm scale
Many of these compounds exist as a
  free gas and on particles. This
            influences:
• how they will be deposited on the
 earth's surface

• the types of chemical reactions they
  can undergo

• the route by which they enter the food
  chain and are sorbed or deposited in
  the lungs
Gas Particle Partitioning

      toxic gas



                  particle
Langmuirian Adsorption (1918)

                      gas

                      surface

•  = fraction of total sites occupied
• Rateon= kon (Pg) (1- );
• Rateoff= koff ;
• kon/koff= Keq
Langmuirian Isotherm
 •     K eq Cgas
 
      1 K eq Cgas


 • if Keq Cgas<< 1; = Keq Cgas
                Junge (1977)
                    moles occupied sites / V
•    K eq Pg    
                     total# moles sites / V


  = jcj /(Po + jcj)
      = fraction in aerosol phase
       Po= sat. vapor pressure of the pure
        compound
       j = conc. of aerosol surface (cm2/cm3)
       cj =const, bBET, moles of sites/cm2, temp
       cj=RTNse(Qi-Ql)/RT
 A vapor pressure calculation for the liquid vapor for
 anthracene

           o        Tb          Tb
      ln P  19 (1  )  8.5 (ln )]
                    T           T

       Tb= 198 + SDTb ; C14H18       anthracene

anthracene has10, =CH- , carbons and each carbon = 26.73oK/carbon

It also has 4, =C< at 31.01OK/carbon

Tb = 198 + 267.3 + 124.04 = 589;

Published boiling point is = 613K

At 298K, lnPoL = -12.76; p = 2.87 x10-6atm = 0.0022 torr
    Percent in the Aerosol Phase at
Different Aerosol Concentrations (25oC)

                  Phen        Pyrene         BaP
                  8x10-4      6x10-5         2x10-7
 10 mg/m3         0.2         2              91
 100 mg/m3        3.1         23             99
 500 mg/m3        18          68             100

 rural= 0.5 mm, high urban 0.35mm, Bangkok
   =0.25mm
    Yamasaki et al.(1982)
• Langmuirian adsorption
•       [gas]
 Ky 
        [part ] / TSP
• Assumes total # sites  TSP (particle
  conc)


• log Ky = -a(1/T)+ b
           Yamasaki (1982)
• Collects Hi-vol filters+PUF
• Analyzes for PAHs
                                filter
                  BaA

log Ky
                                   PUF


            1/Tx1000
      Yamasaki’s relationship

• This gives a log Ky = -a(1/T)+ b which is
  compound specific

• Ideally from the regression values of a
  and b, one can estimate the partitioning of
  a given compound in any atmosphere at a
  given temp. and TSP

         [PAHgas ]
   Ky
      [PAHpart ] / TSP
   Comparision of Yamasaki predicted vs
   measured
 Table IX-C-5-3. Average ratios of predicted Cgas/Cpart to measured Cgas/Cpart in the
            Baltimore tunnel and at an urban sampling site in Chicago
              Chicago                             Baltimore

               Yamasaki et al                        Yamasaki et al

Phe              2.39a (1.76)                         1.65 (0.59)
Ant              1.84b (0.99)                         2.29 (1.06)
Fla              1.42 (0.88)                          3.02 (1.55)
Py               1.77 (1.45)                          1.30 (0.54)
BaA              0.26 (.14)
Chry             0.46 (0.41)
For this presentation extreme data points 21.19a and 45.2b and 38.0b were deleted from
Pankow analysis (Error! Bookmark not defined.); n= 10 samples in Chicago and in
Baltimore for most compounds, numbers in parentheses are standard deviations
Application of this theory
A number of years ago we conducted two
wood smoke experiments in our Teflon film
chambers to evaluate the stability of 9,10
anthraquinone.

The average chamber temperature for one
experiment was 20oC and the other was
38oC. A third experiment was conducted at
30oC, but only filters were analyzed. Data
from these experiments are given below.
UNC   25m 3Teflon   Film Chambers
Three years later it became very important to
know the PUF (gas phase) and particle phase
distribution of anthraquinone at the 30oC
experiment.

It costs, however, 10,000 USD to re-run
experiments.
   9,10-anthraquinone data in the gas
    (PUF) and particle (filter) phases

Temp      gas (PUF)     particle (filter)     TSP
            ng/m3       ng/m3                 mg/m3

38oC      228             105               0.512

20oC      38              381               0.366

30oC      ?               440               0.832

       So what do we do??
       lnKy = -a(1/T)+ b
       Temp is in Kelven
                                          [PAHgas ]
                                    Ky
                                       [PAHpart ] / TSP
              PAHGas PAHpart

           XAD-2 (Gas) Filter TSP      Ky      1/oK  lnKy
                ng/m3 ng/m3 mg/m3             (temp)
oC     K
38   311          228   105 0.512       1.112 0.0032 0.106
20   293           38   381 0.366       0.037 0.0034 -3.310

30   303            ?   440 0.832           ? 0.0033



      lnKy = -a(1/T)+ b
            0.5
            0.0
            -0.5
(m 3/m g)




            -1.0
  ln Ky




            -1.5
            -2.0
                       y = -17295x + 55.716
            -2.5
                                 R2 = 1
            -3.0
            -3.5
              0.0032   0.00325     0.0033    0.00335   0.0034   0.00345
                                          1/oK
      log Kp = -log Po(L) + const.
                    Kp= part/(gasxTSP)



                slope = -1

log                     Ambient data of Pankow
                        and Bidleman
 Kp
                             PAHs, alkanes
                             chlorinated
                              organics
            log Po(L)
   For liquid like particles
partitioning coefficient, Kp, is:

• Kip = 760 RT fomx10-6/{iPLtorr igMWavg}

log Kip = - log iPo(L) +C -log ig


• C= log [fom (7.501 RT)/ (106 Mwom)]

      fom = fraction of particle organic mass
      Mwom = avg. Mw of om in the particle
  Calculating Activity Coefs, ig


• RT lnigom= iV[(omdd - idd)2 +ib(omdp - idp)2
          + ib(omdh - idh)2]
          + RT [ln(iV/Vom) +1- iV/Vom]

• Vom is the molar volume of the mix
ds are solubility parameters
dd = S Fd,j / iV
       OH
                         by
Partitioning & uptakeCH the lungs
             CH(CH3)2
                CH (CH )       3     2 18     3

                                   eicosane
  2-isopropylphenol

• Nicotine                         CH3(CH2)14COOH

                        (Pankow’s group)
                               palmitic acid



 benz[a]anthracene
                              Cl                   Cl

                N       CH3
                                            PCBs
                        N




                 Nicotine
Uptake by the lungs (Nicotine)

• Under normal circumstances Nicotine
  can exist as a neutral “free base” or as
  a protonated mono or di-acid and will
  appear predominately in the particle
  phase.

• Typically cigarette smoke has pH
  values  3 and much of the nicotine
  exists in the acidified form on particles.
               Nicotine

• The acidified form can not partition
  between the gas and particle phase.

• If ammonia is added to the tobacco
  smoke, “as a flavor enhancement”, the
  pH increases moving the equilibrium on
  the particles from the mono-acid to the
  neutral form.
Impact and “advantages” of ammonia
“flavor enhancement” on partitioning

 • In the neutral form nicotine can
   partition to the gas phase.

 • neutral nicotine can then be readily
   absorbed by the wet surface of the
   inner lung (Pankow’s group)

 • loss of nicotine to the lungs “pulls”
   more nicotine off the particles
      What are aerosols?
• Aerosols are simply airborne particles

• They can be solids or liquids or both

• They can be generated from some of
  the following sources:
      What are aerosols?
• Aerosols are simply airborne particles

• They can be solids or liquids or both

• They can be generated from some of
  the following sources:

    1. combustion emissions
    2. atmospheric reactions
    3. re-entrainment
What are some of the terms
used to describe aerosols?
 What are some of the terms
 used to describe aerosols?
• Diameters are usually used to describe
  aerosol sizes, but aerosols have
  different shapes.
 Often particles are sized by
 their aerodynamic diameter
• The aerodynamic diameter of a particle is
  defined as the diameter of an equivalent
  spherical particle (of unit density)
  which has the same settling velocity.

• It is possible to calculate the settling
  velocity of a spherical particle with a
  density =1
• Density = mass/volume

     DensityH20 = 1gram/cm3= 1

• Terminal Settling velocity (Vs ) is the
  rate that a particle falls due to gravity


     Vs   g

          1 d2
             p
         18 m
Often when we measure particles
they cover a large range of sizes
The normal distribution

             1           x  av gx2 
fre q x )   1 / 2  e xp
     (                                   
             2              2 2
                                        


             x  avgx   2   1/ 2

                       
                   n      
A Log normal distribution is often
applied to the size data by plotting
the logs of the particles size vs
frequency
                     The log of the
                     geometric mean is




                   log diameter
                   10-31-05 number

       4000
                                            9:15"
       3000
                                            10:04
#/cc




       2000                                 10:37
                                            11:18
       1000
                                            11:56
         0
              10      100            1000
                      nm
The log normal distribution
    Aerodynamic diameters of
         some particles

•   tobacco smoke            0.25 mm
•   ammonium chloride        0.1
•   flour dust               15- 20
•   fogs                     1- 5
•   pollens                  15- 70
•   talc                     10
•   photochemical aerosols   0.01-1
Aerosol exposures
  Indoors

  Outdoors

  Cars

  Work place
 Aerosol exposures
Indoors (90% of our time)

  – ventilation systems

  – mechanically re-entrain
    particles (dust mites)

  – cooking
Indoor activities generate
particles
Activities that generate aerosols in
Kamens home
Cooking stir-fried
vegetables: Kamens
house, 1987, EAA data
Vacuuming in Kamens House
Kamens house at night
How do particle sizes distribute
    in the atmosphere??
How do particle sizes distribute
    in the atmosphere??
            .3-.8 um

                       4-10 um
 Particle samplers often collect
particles smaller than a given size

 • PM10 is defined as particles with
   diameters < 10 mm.

 • It is measured in units of mg/m3 ,
   typically by pulling air through filters.

 • PM2.5 is defined as particles with
   diameters < 2.5 mm
• The choice of measuring at exactly
  PM10 or PM2.5 is somewhat arbitrary


• Some people argue for a PM1.0


• Until recently only PM10 has been
  measured in Thailand
Why is this important???
Why is this important???
 Naso-oro-
 pharyngo-


 Tracheo-
 bronchial

 Alveolar
Where do particles deposit??

Large particles deposit in the
 Naso-oro-pharyngo- region
Very fine particles (< 0.01 mm)
 deposit in the Tracheo-bronchial
About 15-20% of the particles
 between 0.1 and 1 mm deposit in
 the Alveolar region
How do particles distribute
  in the atmosphere??
          .3-.8 um

                     4-10 um
    Aerodynamic diameters of
         some particles

•   tobacco smoke            0.25 mm
•   ammonium chloride        0.1
•   flour dust               15- 20
•   fogs                     1- 5
•   pollens                  15- 70
•   talc                     10
•   photochemical aerosols   0.01-1
•   Car exhaust              0.1- 0.3
Urban Particle Exposure and its
 Association with Mortality and
 Morbidity
Killer Particles
Recent Particle Health Studies


• Dockery et al., N. Eng .J. Med, vol 329,
  p1753, 1993)

• looked at 6 American cities with different
  annual PM2.5 concentrations

• From 1974 to 1990, they followed 8111 males
  and females.

• Subjects were 25-74 years old
Mortality rates were estimated
from:
• Survival times (date of death minus the start
  date for that person in the study)

• Raw mortality rates are computed, for each
  city, which are the number of
  deaths/year/100,000 people

• These were adjusted for smoking, education,
  body mass index, and other risk factors
Mortality vs. particle exposure
           1.3

           1.2
 mortality
 ratio     1.1

           1.0

                       10    20    30      40
                 2.5 mm particle conc. in mg/m3

• On a mass basis urban fine particles may
  be more toxic than cigarette smoke
Another Study by (Pope et al., Am
J. Crit. Care Med., vol 151, p669,
1995)

• looked at 151 cities with different
  annual PM2.5 concentrations in 1980

• 552,138 mostly white adults
1000
                y = 6.9492x + 695.51
 950                  2
                     R = 0.426
 900

 850

 800

 750

 700

 650

 600
       0        10          20         30   40


           2.5 mm particle conc. in mg/m3
• Used a Cox multiple regression analysis
  proportional hazards model

• Fleming, T.R. and D.P Harrington
  Counting Processes and Survival
  Analysis. John Wiley, New York,1991

• SAS Technical Report P-217; SAS/STAT
  Software: The PHREG Procedure.
  Version 6; SAS Institute, Cary NC,USA
Using their model they could look
at the risks associated with:
  •   age
  •   sex
  •   race
  •   cigarette smoking
  •   passive smoke exposure
  •   body mass
  •   alcohol intake
  •   education
  •   occupational exposure
Adjusted Mortality Risk Ratios for
exposure to 24.5 mg/m3 fine particles
    Smokers
      – women    1.16
      – men      1.18

    NEVER SMOKED
      – women    1.22
      – men      1.14
The Pope et al. study concludes that:
• Risks for increased pollution exposure
  were the same for smokers and non
  smokers
• The association between pollution and
  mortality was not very sensitive to:
  occupation, education, body mass,
  alcohol, and temperature
• occupational differences between men
  and women did not matter
There are other studies of this type
• Typically they find the strongest
  relationship with fine particles and
  sulfate aerosols

• There is usually an association with all
  particles < 10 or 15 mm, but it is not as
  strong as with fine particles

• Less of a relationship with aerosol
  acidity and almost none for O3 CO,
  NOx
The latest interpretations do
not find the strong relationship
that was observed back in
1993, but still report a
significant particle exposure
and mortality relationship (this
is what is in your book
chapter, Figure 2-21)
        In A Particle Study
         in Bangkok, 1998
• health effects were associated with
  airborne particles

• They measured PM10

• Particle concentrations in Bangkok
  tend to be higher than in other cities
  around the world
• The results suggest that at current
  PM10 concentrations in Bangkok, there
  are between 1,000 and 2,000 premature
  deaths each year

• These deaths are attributable to short-
  term exposures to outdoor airborne
  particulate matter

• This represents about 5% to 10% of all
  recorded deaths in Bangkok
• Hospital admissions for
  respiratory and cardiovascular
  illness are higher when PM10
  concentrations are higher
• For highly exposed adults, during
  the winter months, who do not
  spend much time in air-
  conditioned environments,

• outdoor PM10 was associated with
  twice the incidence of acute
  respiratory symptoms than was
  predicted when there is no
  pollution
• For adults who spend substantial
  time in air-conditioned
  environments, the average outdoor
  particulate matter during the winter
  months still increased their
  symptoms by about 20%
These types of studies
• suggest a 1-2% increase in the mortality rate
  for every 10 ug/m3 of fine particulate matter
  (Schwartz et al, 1996)

• Contributed to the US EPA setting a PM2.5
  ambient particle standard at 65 mg/m3 for
  24 hours, not to exceed the 3rd highest
  value in 3 years; sampling ~1 time per
  week
Why is there a linear mortality rate
response to particulate matter

and what is the mechanism??
Samet et al. at UNC have recently
exposed human airway epithelial
cells to residual oil fly ash (ROFA)
particles


• cells secreted prostaglandins

• Prostaglandins are a class of potent
  inflammatory mediators which play a
  role in inflammatory, immune and
  functional responses in the lung
Human volunteers had inert Fe2O3 particles
introduced into their lungs (Lay et al, 1995)

 • Produced a subclinical inflammatory
   response in the first 24-48 hours

 • Influx of macrophages and neutrophils
   onto the alveolar spaces as assessed by
   bronchoalveolar lavage

 • Protein releases suggests alveolar
   epithelial damage
• Leakage of plasma protein and fluids in
  to alveolar space alters gas exchange of
  injured tissue

• This is not a problem for a healthy
  person

• people with compromised cardiac or
  pulmonary systems, however, may not
  be able to compensate or tolerate even
  mild exposures
• ChiangMai, Thailand

• Do we see the same kinds of
  particle health responses in
  northern Thai Populations??
• Currently, there are only a
  few studies which relate
  PM2.5 on a daily basis to
  mortality and morbidity
• Chiang Mai was selected because
  it has high average fine particle
  concentrations

• The concentrations change
  significantly with the seasons

• We wanted to see if mortality
  would track the changes in particle
  concentrations
PM10 concentrations change
     with the seasons
                140

                120

                100
 PM10 (ug/m3)




                 80

                 60

                 40

                 20

                  0
                      Jan   Mar   May   Jul   Sep   Nov
• The population of the city of
  Chiang Mai is ~170,000 people
• If the average death rate is 750 people
  per 100,000 people per year

• This will give on average 3 or 4 deaths
  per day
IN 1998, The US EPA provided
 CMU with particle samplers
• 8 saturation samplers with batteries;
• more than 1000 Teflon filters; these
  can be used to obtain particle mass

• Flow calibration gear

• 7- small samplers for personal
  monitoring
• Saturation sampler for PM2.5 or PM10

                        PM2.5 or PM10 inlet

                            47mm filter holder

            pump
                                  rotameter
   on/off digital   lunch

   timer

       Battery


                    18cm
• It can be hung or strapped to a post




          pump




      Battery


                  ~18cm
So how do these samplers
        work??
Sizing particles with impactors

Impactors bring aerosols through a jet




The particles and air speed up as they
 go through the small orifice
Sizing particles with impactors

Impactors bring aerosols through a jet


 disk


• A disk or plate is place down stream of
  the jet
Sizing particles with impactors

Impactors bring aerosols through a jet




• The disk has grease or oil on the
  surface
Sizing particles with impactors



• Depending on the speed through the
  jet, large particles will hit the disk,
  while small particles follow the air
  around the disk
Sizing particles with impactors



 Filter

• A filter is placed under the disk to
  collect particles that do not hit the
  disk
• From this you can see the flow rate is very
  important.

• The EPA samplers must flow at 5 liters/min

• If we calibrate them in the lab at one
  temperature we must estimate the
  temperature, and pressure when we sample
  outside
• From this you can see the flow rate is very
  important.

• The EPA samplers must flow at 5 liters/min

• When we calibrated them in the lab at one
  temperature, we had to estimate the
  temperature and pressure when we sampled
  outside

          Pcal Tamb              mstd
kamb                     Qstd       I amb  bstd
          PambTcal               kamb
• We changed filters and the battery once
  per day, 7 days / week

• Filters are weighed on a 5 or 6 place
  balance and stored in plastic petri
  dishes
          Located samplers
• residential area in the city- PM2.5

• 5th roof top- urban sample not
  influenced by different sources
  - PM2.5 & PM10

• high population density area (down
  town market?)- PM2.5

• relatively clean air- PM2.5
How do the samplers compare
to each other when they are
sampling in the same location
??
We located 6 samplers on the 2nd floor
outside porch of Nui’s house and
sampled for 24 hours on March 1, 1998
We located 6 samplers on 2nd floor
outside porch of Nui’s house and
sampled for 24 hours on March 1, 1998

           120
           100
   ug/m3




           80
           60
           40
           20
            0
                 6   2    4   1     5   3
                         Pump ID#
average     121 ug/m3

2 x % std    8.4%
Four different sampling locations
were selected for monitoring PM2.5

 • Down town area (Nui’s house)

 • Residential area (Dr. Usanee’s
   house)

 • General city exposure (outside 5th
   floor of medical school)

 • Background (2nd floor -Galae )
ChiangMai
                  PM2.5 concentrations
        300

        250

        200
ug/m3




        150

        100

        50

         0
          12-Ma           28-Ma           13-Ap           29-Ap           05/15
                  20-Ma           05-Ap           21-Ap           05/07

                                             Nui
              PM2.5 concentrations
        300

        250

        200
ug/m3




        150

        100

        50

         0
          12-Ma           28-Ma           13-Ap           29-Ap           05/15
                  20-Ma           05-Ap           21-Ap           05/07

                     PM2.5 standard               Nui
                PM2.5 concentrations
        300

        250

        200
ug/m3




        150

        100

        50

         0
          12-Ma     26-Ma     09-Ap       23-Ap       05/07
               19-Ma     02-Ap      16-Ap       30-Ap       05/14

                                    Usanee
                  PM2.5 concentrations
        300

        250

        200
ug/m3




        150

        100

        50

         0
          12-Ma           28-Ma           13-Ap           29-Ap           05/15
                  20-Ma           05-Ap           21-Ap           05/07

                      Usanee                       PM2.5 standard
                PM2.5 concentrations
        250

        200

        150
ug/m3




        100

        50

         0
          12-Ma     26-Ma     09-Ap       23-Ap       05/07
               19-Ma     02-Ap      16-Ap       30-Ap       05/14

                                     Galae
                PM2.5 concentrations
        250

        200

        150
ug/m3




        100

        50

         0
          12-Ma     26-Ma     09-Ap       23-Ap       05/07
               19-Ma     02-Ap      16-Ap       30-Ap       05/14

                     PM2.5 Standard        Galae
How do the samplers at the
different sampling locations
compare ??
ChiangMai
                PM2.5 concentrations
        350
        300
        250
ug/m3




        200
        150
        100
        50
         0
          12-Ma     26-Ma     09-Ap       23-Ap       05/07
               19-Ma     02-Ap      16-Ap       30-Ap       05/14

         Usanee         Kalae          sndok2.5      Nui
When we sampled for more than one
             year

                winter
  winter



                         Summer
       Summer
Chiang Mai Forest Fire Control Unit’s
show the following number of fires


                  1998         1999
  Dec               0           10
  Jan              63           361
  Feb              647         1699
  Mar             1214          949
  Apr              241          943
  May               5           28
  Jun-Nov           0            0
              Winter   Summer


Mixing         900      1400
height in
meters
(afternoon)
Avg Wind       3.3       5.2
speed
Km/hr
Temp (oC)     30/17     35/25
(avg
high/low)
                     160         PM 2.5 level mg/m3                                                              300
                                                                                       His + of TA100/plate
                     140                                                                                         250
                     120                                      Mutagenicity vs.
P M 2 . 5 le v e l



                     100                                                                                         200
                                                                  PM 2.5
                      80                                                                                         150
                      60                                                                                         100
                      40
                      20                                                                                         50
                       0                                                                                         0
                           M a r - 8 p r - 9 8 a y - 9 8 Jun
                           Mar998 A Apr M May Ju n - 9 8                    Jul
                                                                           Ju l- 9 8            Sep
                                                                                        AAug8 S e p - 9 8
                                                                                         ug-9
                             PM 2.5 levels and air-borne mutagenicity in Chiang Mai ambient
                                                        m onth
                             air at different monitoring sites in the same month. Bar graph =
                             PM 2.5 level at
                     sit e 1              sit e 2                    sit e 3                   sit e 4
                     T A100+ S9(# 1)                                              = site
                                         =Tsite0 1,+ S 9 ( # 4 = siteT2,1 0 0 + S 9 ( # 3 ) 3, T A 1 0 = +site (4. 2 )
                                            A1 0               )       A                               0 S9 #
                             Line = mutagenicity at
                                     = site 1,      = site 2,     = site 3,      = site 4,
                                  spontaneous revertants have been substracted already.
ChiangMai
If the downtown site, for example,
“experienced”     a   slightly   higher
exposure to diesel exhaust which, is
much more mutagenic than wood
smoke, the PM levels would appear
similar, but the mutagenicity would be
influenced by the diesel particles and
appear higher.
A high prevalence of asthma in children living in
Chiang Mai has been reported.

At the present time, however, it is difficult without
further study to know if open burning is
exacerbating the asthma problem in Chiang Mai.

It would seem prudent, given the high fine particle
concentrations, to curtail open burning as much as
possible. Future studies should also attempt to
identify compounds in Chiang Mai air that are
potentially toxic to human health so that these may
be used as bench marks for future control
strategies.
  Recommendations?
2 stroke motor cycles account for half of
 the motor vehicles and can emit more than
 10 times the amount that gasoline cars do.
 We need to go to 4 stroke engines

Replace small diesel pick-up trucks
 gasoline engine pick-up trucks-
 maintenance off all vehicles

Control open burning!!

						
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