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Chemical Mass Balance Receptor Modelling

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Chemical Mass Balance Receptor Modelling. Source 1. xi1 i=1,n. Source 2. xi2 i=1,n. Source 3 ... Graphical tools in Excel enable qualitative assessment of model ... – PowerPoint PPT presentation

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Title: Chemical Mass Balance Receptor Modelling


1
Chemical Mass Balance Receptor Modelling
Source 1xi1 i1,n
3
Receptoryi i1,n
1
Source 3xi3 i1,n
2
Source 2xi2 i1,n
2
Chemical Mass Balance Receptor Modelling

3
Chemical Mass Balance Receptor Modelling

4
Components
  • PM
  • metals
  • ions
  • PAH
  • OC/EC
  • etc.
  • Gas phase
  • various organic cpds
  • VOCs
  • etc.

5
Chemical Mass Balance Receptor Modelling Simple
Spreadsheet Implementation
  • Electronic spreadsheets like Excel make it easy
    to implement the model in the above form.
  • The Solver function in Excel enables the
    minimization operation.
  • Graphical tools in Excel enable qualitative
    assessment of model fit and the inputs.

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Chemical Mass Balance Receptor Modelling U.S.
EPAs CMB Model
  • There are uncertainties associated with both the
    receptor and source profiles. The measured
    quantities are thus
  • The model results then also have uncertainties
    associated with them

11
U.S. EPAs CMB Model The effective variance
method
  • The CMB model uses an effective variance which
    looks at variances in both the receptor, and
    source profiles weighted by the source
    contributions

12
U.S. EPAs CMB8
  • The CMB model incorporates the statistics to
    improve our estimate of the source contributions
    by weighting the source and receptor profiles
    according to the uncertainties associated with
    them.
  • It also reports the uncertainties associated with
    the source contribution estimates and goodness
    of fit parameters.
  • Version 8 is windows based, more user friendly.
  • Example Source apportionment for motor vehicle
    related VOCs in micro-environments

13
VOC's Associated with Motor Vehicles
Exhaust EmissionsEvaporative Emissions
C1 - C10 RangeAlkanesAlkenesAlkynesCycloalkane
sAromatics
14
Chemical Mass Balance Receptor Modelling
Source profile characterization
Fuel
Whole gasoline
Headspace vapor
Individual vehicles
Exhaust emissions - UDDS
Evaporative emissions - SHED
Fleet emission characteristics
Tunnel studies Roadside measurements
15
Source Profiles
16
ERMD Source Profiles with 17 species
0.45
0.4
0.35
0.3
0.25
Fraction of total
0.2
0.15
0.1
6 GA
0.05
5 LPG
4 CNG
0
3 HOTST
2 COLDST
1 FUEL
Ethylene
Ethane
Propane
n-butane
n-pentane
benzene
3m-pentane
e-benzene
o-xylene
17
Modelled Species Profile
3m-pentane m-cyclopentanebenzene
cyclohexane iso-octanen-heptane toluene
n-octane e-benzenemp-xylenen-nonane1,2,4-t
m-benzene
ethylene acetylene ethane propane
isobutane isobutylenen-butane 2m-butane
n-pentane 2,3-dm-butane 2m-pentane
Fitting species
18
Nose-level Ambient Sampling Schedules
Slater Street Curbside 20 Weekdays in
August-September
2 Stations, 3 Sampling Sessions Morning
730-930Noon 1130-1330Afternoon
1530-1730 (Evening 2200 - 2400)
  • 3 Underground Garages
  • 12 Weekdays in December-January
  • 2 Stations, 2 Sampling sessions in each garage
  • A.M. 730 - 930
  • P.M. 1500 - 1700

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