Source apportionment of PM in the ADMS model David Carruthers

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Source apportionment of PM in the ADMS model David Carruthers Workshop on Source Apportionment of Particulate Matter Imperial College London Friday, 23 April 2010

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Source apportionment of PM in the ADMS model David Carruthers. Workshop on Source Apportionment of Particulate Matter Imperial College London Friday, 23 April 2010. Contents. Modelling methodology London Marylebone Road Resuspension Other. Model ADMS-Urban Model Methodology. - PowerPoint PPT Presentation

Transcript of Source apportionment of PM in the ADMS model David Carruthers

Page 1: Source apportionment of PM in the ADMS model  David Carruthers

Source apportionment of PM in the ADMS model

David CarruthersWorkshop on Source Apportionment of

Particulate Matter 

Imperial College LondonFriday, 23 April 2010

Page 2: Source apportionment of PM in the ADMS model  David Carruthers

Contents

• Modelling methodology• London • Marylebone Road• Resuspension• Other

Page 3: Source apportionment of PM in the ADMS model  David Carruthers

• Models all source groups within the urban area – typically hour by hour calculation

• Explicitly models major road sources, major industrial sources. Includes street canyon model

• Other sources modelled as grid sources (e.g.1km* 1km

• Regional pollution from rural monitoring sites or from larger area model (e.g. WRF/CMAQ or Pre’vair/Chimere)

Model ADMS-Urban Model Methodology

Page 4: Source apportionment of PM in the ADMS model  David Carruthers

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Measured concentration (µg/m³)

Mod

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(µg/

m³)

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Model verification at AURN Sites – PM10 & PM2.5

London (2001)

PM10

PM2.5

Annual Mean 90.4th percentile

Measured Modelled

Marylebone Road 32.0 32.8 Bloomsbury 17.1 19.2

Page 5: Source apportionment of PM in the ADMS model  David Carruthers

(a) Total PM10 (b) Traffic (Major and minor roads)

(c) Rail (d) Shipping

(e) Domestic Gas (f) Commercial Gas

(g) Industrial (h) Other

PM10 (µg/m³)> 3529 - 3527 - 2925 - 2723 - 2510 - 235 - 101 - 50.5 - 10.1 - 0.50 - 0.1

Contributions of source groups to total PM10 concentrations 2010

Page 6: Source apportionment of PM in the ADMS model  David Carruthers

PM10 (µg/m³)> 3529 - 3527 - 2925 - 2723 - 2510 - 235 - 101 - 50.5 - 10.1 - 0.50 - 0.1

(a) Major Roads (b) Other Roads

(c) Car (d) Taxi

(e) Bus and Coach (f) LGV

(g) Rigid HGV (h) Articulated HGV

Source apportionment

of PM10 from vehicle exhaust emissions 2010

Page 7: Source apportionment of PM in the ADMS model  David Carruthers

Source apportionment of PM10 traffic emissions. Mean

all London AURN sites

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Total

exha

ust

CarTa

xiLG

V

Rigid HGV

Articulat

ed H

GVBus

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pens

ion etc

Ann

ual a

vera

ge P

M10

from

traf

fic

at A

URN

site

s (µ

g/m

³)

20102020

Car38%

Taxi11%

LGV31%

Rigid HGV10%

Articulated HGV4%

Bus6%

Page 8: Source apportionment of PM in the ADMS model  David Carruthers

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1 21 41 61 81 101 121 141 161 181 201 221 241 261 281 301 321 341 361

Day

PM10

con

cent

ratio

n (µ

g/m

³)

Measured

Modelled

Measured ModelledAnnual average (µg/m³) 43.8 43.4No. exceedences of 50µg/m³ 114 9490.41st percentile of daily averages (equivalent to 35 exceedences) 64.1 57.0

Marylebone Road 2001 – Modelled time series and Number of exceedences of limit values

Page 9: Source apportionment of PM in the ADMS model  David Carruthers

Rural background47%Major Road

39%

Rural background

Urban 'coarse'

Roadside 'coarse'

Major Road

Minor road

Industrial

Domestic

Other

Source contributions to modelled annual average PM10 concentration

HGV21%

LGV28%

Taxi25%

Car17%

Bus5%

M'cycle4%

Motorcycle

Car

Taxi

LGV

Bus

HGV

Source contribution of vehicle types

Marylebone Road

Page 10: Source apportionment of PM in the ADMS model  David Carruthers

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Day

24-h

our a

vera

ge P

M10

con

cent

ratio

n (µ

g/m

³)

Other

Industrial

Domestic

Minor road

Major road

Rural background

Urban coarse

Roadside coarse

Modelled source contributions to modelled daily average PM10 concentrations, Marylebone Road 2001

Page 11: Source apportionment of PM in the ADMS model  David Carruthers

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24-h

our a

vera

ge P

M10

con

cent

ratio

n (µ

g/m

³) Other

Industrial

Domestic

Minor road

Urban 'coarse'

Roadside 'coarse'

Major road

Rural background

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1 11 21 31 41 51 61 71 81 91

24-h

our a

vera

ge P

M10

con

cent

ratio

n (µ

g/m

³)

Other

Industrial

Domestic

Minor road

Urban 'coarse'

Roadside 'coarse'

Rural background

Major road

Source contributions to exceedences of the 50µg/m³ objective value, ordered by background contribution and major road contribution

Page 12: Source apportionment of PM in the ADMS model  David Carruthers

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Total concentration (µg/m³)

Sour

ce c

ontr

ibut

ion

(µg/

m³)

Rural background

Major road

Major road and background contribution compared to total concentration

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Rural background (µg/m³)

Maj

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ontri

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n (µ

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Comparison of major road and rural background concentrations

Page 13: Source apportionment of PM in the ADMS model  David Carruthers

Non-Exhaust Emissions of PM

• DEFRA Project –TRL, University of Birmingham, CERC

• Review of methodologies for tyre wear, brake wear and road wear

• Focus resuspension

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Non-exhaust study- Resuspension

• Estimated from measurements at Marylebone Road & Bloomsbury.

ETOTAL, NON-EX = ETYRE + E BRAKE + EROAD + ERESUSP

• ETYRE, EBRAKE & EROAD determined using several methods– Existing EMEP method– RAINS database– CEPMEIP database

• PM2.5 = exhaust (94%), PM2.5-10 = non-exhaust + exhaust (6%)

• ERESUSP dominated by HDV 116mg/km,(LDV 0.02mg/km)

x

NOPM NOPMEE

x

1010

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Non-exhaust study - dispersion modelling sites

• 4 TRAMAQ sites (Birmingham Selly Oak, Park Lane, Elephant and Castle, High Holborn)

– PM10 and PM2.5

– Kerbside and background– Chemical component data available

• 9 London DEFRA sites – 2 with PM10 and PM2.5

– 7 with PM10 only

Page 16: Source apportionment of PM in the ADMS model  David Carruthers

0

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PM10 PM2.5 PMcoarse

Emis

sion

s (to

nnes

/yea

r)

Other sourcesExhaustTyreBrakeRoad wearResuspension

Non-exhaust studyRoad Traffic Emission totals 2002 London

Page 17: Source apportionment of PM in the ADMS model  David Carruthers

Traffic source contribution to modelled concentrations (London 2002)

PM10

PM2.5

Exhaust55%

Tyre11%

Brake14%

Road wear10%

Resuspension10%

Exhaust76%

Tyre9%

Brake8%

Road wear7% Exhaust

14%

Tyre10%

Brake29%

Road wear15%

Resuspension32%

PMcoarse

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Measured

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Defra (resuspension 1A)Defra (resuspension 2A)TRAMAQ Roadside (resuspension 1A)TRAMAQ Roadside (resuspension 2A)TRAMAQ Background (resuspension 1A)TRAMAQ Background (resuspension 2A)Modelled = ObservedModelled within +/- 30% of observed

Non-Exhaust studyDispersion modelling - PM10

Annual average PM10 concentrations

Page 19: Source apportionment of PM in the ADMS model  David Carruthers

Annual average PM2.5 concentrations

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DefraTRAMAQ RoadsideTRAMAQ BackgroundModelled = ObservedModelled within +/- 50% of observed

Non Exhaust StudyDispersion modelling - PM2.5

Page 20: Source apportionment of PM in the ADMS model  David Carruthers

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50B

exle

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nt A3

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ingd

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ensi

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yleb

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Roa

dsid

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HH

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Con

cent

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n (µ

g/m

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Modelled:BackgroundOther sourcesExhaustTyreBrakeRoad wearResuspension

Non-exhaust studyDispersion modelling - source apportionment

Annual average PM10

concentrations

Page 21: Source apportionment of PM in the ADMS model  David Carruthers

Non-exhaust study: Resuspension – Uncertainty

Dependence on wind speedVariation of hourly median resuspension at Marylebone Road with wind direction at Heathrow, 2001

y = -0.0816x2 + 3.2982x + 5.0374R2 = 0.8223

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Wind speed at Heathrow (knots)

Res

uspe

nsio

n (g

km

-1 h-1

)

Page 22: Source apportionment of PM in the ADMS model  David Carruthers

Non-exhaust study Resuspension Uncertainty - source properties

E xh a u s t (1 .5 m fo r h e a v y , 1 m

fo r lig h t)

B ra k e w e a r: (1 m fo r h e a v y , 0 .7 5 fo r lig h t)

T y re w e a r (0 .5 m )

R o a d w e a r (0 .5 m )

R e s u s p e n s io n (0 .5 m )

R e s u s p e n s io n (0 .5 m )

Page 23: Source apportionment of PM in the ADMS model  David Carruthers

Singapore Harrison Chemical Speciation model based on

chemical sampling vs PM measurements

JI YS CS JI YS CS0

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PM10-2.5

PM2.5

Minerals

NaCl

NaNO3

NH4NO3

(NH4)2SO4

CaSO4.2H2O

Elemental carbon

Organic carbon

µg/m

³