soontae kim and daewon w. byun comparison of emission estimates from smoke and eps2 used for...

Soontae Kim and Daewon W. ByunSoontae Kim and Daewon W. ByunSoontae Kim and Daewon W. ByunSoontae Kim and Daewon W. Byun

Comparison of Emission Estimates from SMOKE Comparison of Emission Estimates from SMOKE and EPS2 Used for Studying Houston-Galveston and EPS2 Used for Studying Houston-Galveston

Air QualityAir Quality

Comparison of Emission Estimates from SMOKE Comparison of Emission Estimates from SMOKE and EPS2 Used for Studying Houston-Galveston and EPS2 Used for Studying Houston-Galveston

Air QualityAir Quality

Institute for Multidimensional Air Quality Institute for Multidimensional Air Quality

Studies (IMAQS)Studies (IMAQS)

University University ofof Houston Houston

Institute for Multidimensional Air Quality Institute for Multidimensional Air Quality

Studies (IMAQS)Studies (IMAQS)

University University ofof Houston Houston

- Based on Area/Nonroad, Point and Biogenic - Based on Area/Nonroad, Point and Biogenic emissions in Texas Emissions Inventoryemissions in Texas Emissions Inventory

Spatial allocationSpatial allocation

BackgroundsBackgrounds

OutlineOutline

Institute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality Studies

Emissions processing with SMOKE & Emissions processing with SMOKE &

EPS2EPS2

Biogenic emissionsBiogenic emissions

Examples of CMAQ Examples of CMAQ

resultsresults

Chemical speciationChemical speciation

Temporal allocationTemporal allocation

Houston-Galveston area, Houston-Galveston area,

Texas EITexas EI

BEIS3 & GloBEIS3BEIS3 & GloBEIS3

Non-attainment area due to high ground-level ozone concentrations

Several air quality modeling studies


The Houston-Galveston AreaThe Houston-Galveston Area

LouisianaLouisiana

HGAHGA

The Gulf The Gulf of Mexicoof Mexico

The ship channel area

Downtown Houston

Offshore emissions

Major NEGU point sources

Available Emissions Inventories

CMAQ, CAMx and etc.CMAQ, CAMx and etc.

National - NET96, NEI99 from U.S. EPANational - NET96, NEI99 from U.S. EPA

State - Texas Emissions Inventory from State - Texas Emissions Inventory from TCEQ (Texas Commission on TCEQ (Texas Commission on Environmental Quality)Environmental Quality)

Emissions processing systemsSMOKE - NET96, NEI99SMOKE - NET96, NEI99

EPS2 - Texas Emission Inventory (TEI) EPS2 - Texas Emission Inventory (TEI)

Source typeSource typeNOx (tons/day)NOx (tons/day) VOC (tons/day)VOC (tons/day)

NEI99 NEI99 1)1) TEI TEI 2)2) NEI99NEI99 TEITEI

On-road mobileOn-road mobile 353353 246246 255255 156156

Area/Nonroad mobileArea/Nonroad mobile 192192 193193 227227 241241

Point Point 521521 490490 152152 327 (178) 327 (178) 3)3)

8-County total 8-County total anthropogenic anthropogenic emissionsemissions

10661066 929929 633633 724 (575)724 (575)

Data sources: Data sources: 1)1) National – Calculated based on U.S. EPA NEI 1999 final version 2 National – Calculated based on U.S. EPA NEI 1999 final version 2 2)2) State – TCEQ documents (available at State – TCEQ documents (available at ftp://ftp.tnrcc.state.tx.us/pub/OEPAA/ TAD/ftp://ftp.tnrcc.state.tx.us/pub/OEPAA/ TAD/

Modeling/HGAQSE/Modeling/Doc/TSD_PHASE1/attachment3-emissions_inventory.pdf )Modeling/HGAQSE/Modeling/Doc/TSD_PHASE1/attachment3-emissions_inventory.pdf ) 3)3) Parenthesis presents regular case emissions. Parenthesis presents regular case emissions.


NEI99 & Texas EINEI99 & Texas EI

For the HGA 8-countyFor the HGA 8-county

<<>>

Emissions Inventory ProcessingEmissions Inventory Processing


AQMs input-ready AQMs input-ready emissionsemissions

Temporal allocationTemporal allocation

Spatial Spatial allocationallocationChemical Chemical speciationspeciation

Emissions InventoryEmissions Inventory

Depend on Depend on cross-reference cross-reference

& profile files& profile files

Same Same processes in processes in SMOKE & EPS2SMOKE & EPS2

Different Different inputs for inputs for SMOKE & EPS2SMOKE & EPS2Present Present different AQM-different AQM-ready ready emissionsemissions

ObjectivesObjectives


Texas EI was processed Texas EI was processed for the HGA 2-km grid for the HGA 2-km grid domain (166 x 130 cells) during the period of domain (166 x 130 cells) during the period of the TexAQS 2000 Experiment (Aug. 23the TexAQS 2000 Experiment (Aug. 23rdrd - Sept. - Sept. 11stst, 2000) , 2000) ..Focusing on the effects of differences in Focusing on the effects of differences in cross-reference and profile files.cross-reference and profile files.

SMOKESMOKE and and EPS2EPS2 used used U.S. EPA’sU.S. EPA’s and and TCEQ’sTCEQ’s cross-reference and profile files, respectively.cross-reference and profile files, respectively.

CompareCompare two emission modeling systems, two emission modeling systems,SMOKE and EPS2SMOKE and EPS2, to identify uncertainties , to identify uncertainties arising during each step of processing; arising during each step of processing; spatial spatial griddinggridding, , chemical speciationchemical speciation and and temporal temporal allocationallocation

BEIS3BEIS3 and and GloBEIS3GloBEIS3 were also were also compared.compared.

SMOKE & EPS2: General comparisonSMOKE & EPS2: General comparison

ProcessProcess EPS2EPS2

Spatial Spatial allocationallocation

ChemicalChemicalspeciationspeciation

TemporalTemporalallocationallocation

BiogenicBiogenic

U.S. EPA’s 15 surrogates. New surrogating system (64 srgs) are applicable.No surrogates for off-shore emissions.

Nationwide spilt factors.Mostly depends on SCC.Separate treatments for PO and hourly emissions.Additional profiles for hourly emissions prepared.BEIS3, BELD3 / MM5

SMOKESMOKE


TCEQ has developed 27 surrogates. Unique surrogates for the HGA including off-shore surrogates.

Uses Plant ID, Stack ID, SCC & FIPS for points.PO/hourly emissions at the same time. No diurnal variation for NEGU point emissions.GloBEIS3, Texas LULC / Observed met. data

Surrogates used for EPS2Surrogates used for EPS2


SurrogateSurrogate Surrogate Surrogate

PopulationPopulationUrban populationUrban populationRural populationRural populationCommercial airportsCommercial airportsGeneral airportsGeneral airports

SMOKESMOKE1)1)

Gas stationsGas stationsDry cleanerDry cleanerRestaurantsRestaurantsResidential areaResidential areaForestForest

Military airportsMilitary airportsCounty yardsCounty yardsWaterWaterShipsShipsHarborsHarbors

CanalCanalRailroadRailroadAuto body shopsAuto body shopsMarine coating facilitiesMarine coating facilities

Offshore Offshore Shipping lanesShipping lanesPlatformsPlatforms

AgricultureAgricultureCommercial & industrial Commercial & industrial Commercial & residentialCommercial & residentialOil and gas wells (Inland)Oil and gas wells (Inland)Offshore oil and gas wellsOffshore oil and gas wells

SMOKE SMOKE

AA, , BBAA, , BBAA, , BB--AA, , BB

BBAA, , BBAA, , BBBBAA, , BB

--AA, , BB----

BBBBBBBBAA, , BB

AA, , BBBBBB----

------

Note: Note: 1)1) AA – Included in U.S. EPA’s 15 surrogates. – Included in U.S. EPA’s 15 surrogates. BB – Included in U.S. EPA’s 64 surrogates (New – Included in U.S. EPA’s 64 surrogates (New surrogating system).surrogating system).


Difference in SurrogatesDifference in Surrogates

PopulationPopulation

TCEQTCEQ(US Census Bureau, (US Census Bureau,

2000)2000)

SMOKETOOLSMOKETOOL(Shp1996; US (Shp1996; US Census Bureau, Census Bureau, 1990)1990)

MIMSMIMSSpatial allocatorSpatial allocator(Shp2003; US Census (Shp2003; US Census Bureau, 2000)Bureau, 2000)


Unique surrogates for the HGAUnique surrogates for the HGA

Offshore oil and gas wellsOffshore oil and gas wells PlatformsPlatforms Shipping lanesShipping lanes

Marine coating facilitiesMarine coating facilities Auto body shopsAuto body shops RestaurantsRestaurants

From TCEQ’s surrogatesFrom TCEQ’s surrogates

EPS2EPS2 SMOKESMOKE

Example of Spatial AllocationExample of Spatial Allocation


Without offshore surrogates from TCEQWithout offshore surrogates from TCEQ

Area/Nonroad mobile emissions: NOArea/Nonroad mobile emissions: NO

EPS2EPS2 SMOKESMOKE



After implementing TCEQ’s surrogates for offshore emissions.After implementing TCEQ’s surrogates for offshore emissions.

Area/Nonroad mobile emissions: NOArea/Nonroad mobile emissions: NO

EPS2EPS2 SMOKESMOKE



Area/Nonroad mobile emissions: ETHArea/Nonroad mobile emissions: ETH

Chemical SpeciationChemical Speciation

11Split factors (Chemical speciation profile) Split factors (Chemical speciation profile)

Applied to lumped VOC species (CB-IV mechanism).

SMOKE assigns SCC-related profile codes provided by U.S. EPA.EPS2 uses SCC, FIPS code, Plant ID and Stack ID to assign profile codes developed by TCEQ.


22Example of split factorsExample of split factors

3.72E-023.72E-02--------------5.54E-055.54E-052.95E-022.95E-02--EPA EPA (TOG)(TOG)

--1.61E-051.61E-050.00E+000.00E+001.09E-041.09E-041.55E-021.55E-022.37E-042.37E-041.07E-051.07E-053.64E-053.64E-051.69E-041.69E-041.57E-021.57E-028.04E-038.04E-03TCEQTCEQ(VOC)(VOC)

NRNRISOPISOPETOHETOHMEOHMEOHETHETHALD2ALD2FORMFORMXYLXYLTOLTOLPARPAROLEOLE

NEGU point - SCC 30118701: Chemical Manufacturing, Ethylene: General (FIPS 48000)NEGU point - SCC 30118701: Chemical Manufacturing, Ethylene: General (FIPS 48000)

Split factors for point source emissions show large differences.

Units: mol/kgUnits: mol/kg

Example of Chemical SpeciationExample of Chemical Speciation


NEGU point emissionsNEGU point emissions

0.00.0

0.20.2

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

CO

ETH

FORM

OLE

PAR

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL

SpeciesSpecies


0.00.0

0.20.2

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

CO

ETH

FORM

OLE

PAR

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL

SpeciesSpecies

Area emissionsArea emissions

0.00.0

0.20.2

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

CO ETH

FORM

OLE

PAR

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL


0.00.0

0.20.2

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

EP

S2

/S

MO

KE e

mis

sio

ns r

ati

os

CO ETH

FORM

OLE

PAR

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL

Nonroad mobile emissionsNonroad mobile emissions

0.00.0

0.20.2

CO ETH

FORM OLE

PAR

Ratio =1Ratio =1

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2 TOL

XYL


0.00.0

0.20.2

CO ETH

FORM OLE

PAR

Ratio =1Ratio =1

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2 TOL

XYL

EGU point emissionsEGU point emissions

0.00.0

0.20.2

CO

ETH

FORM

OLE

PAR

Ratio =1Ratio =1

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL

SpeciesSpecies

2.9


0.00.0

0.20.2

CO

ETH

FORM

OLE

PAR

Ratio =1Ratio =1

0.40.4

0.60.6

0.80.8

1.01.0

1.21.2

1.41.4

1.61.6

NOx

ALD2

TOL

XYL

SpeciesSpecies

2.9

Temporal AllocationTemporal Allocation

11Peak ozone day and annual average emissions

Area & nonroad mobile and regular point emissions. SMOKE uses U.S. EPA’s profiles.EPS2 uses Texas-specified profiles.


22Hourly emissions

Supplementary and special point emissions.

No Profiles are used. No difference in SMOKE and EPS2.

Source- and hour-specific profiles are prepared for SMOKE based on emission patterns.

Example of Temporal AllocationExample of Temporal Allocation



0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

1000

2000

3000

4000

5000

6000

OLE_SMK OLE_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )

Aug22 Aug23 Aug24 Aug25 Aug26 Aug27 Aug28 Aug29 Aug30 Aug31 Sep01

Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

2000

4000

6000

8000

10000

ETH_SMK ETH_SMK

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

100000

200000

300000

400000

500000

600000

CO_SMK CO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

20000

40000

60000

80000

100000

NO_SMK NO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)




0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

1000000

2000000

3000000

4000000

5000000

6000000

CO_SMK CO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

50000

100000

150000

200000

250000

NO_SMK NO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

5000

10000

15000

20000

25000

ETH_SMK ETH_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

5000

10000

15000

20000

OLE_SMK OLE_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)




0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

50000

100000

150000

CO_SMK CO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

50000

100000

150000

200000

250000

300000

350000

NO_SMK NO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

5

10

15

20

25

30

ETH_SMK ETH_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

5

10

15

20

25

30

OLE_SMK OLE_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)




0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12250000

270000

290000

310000

330000

350000

CO_SMK CO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12250000

270000

290000

310000

330000

350000

NO_SMK NO_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

10000

20000

30000

40000

ETH_SMK ETH_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

5000

10000

15000

20000

25000

30000

OLE_SMK OLE_EPS2

Em

issi

on r

a te s

(m

o le s

/ hr )


Hour (CST)

Biogenic emissions: different inputsBiogenic emissions: different inputs

11Land use land cover data

SMOKE uses BELD3 provided by U.S. EPA for BEIS3.TCEQ developed Texas LULC data for GloBEIS3. ( e.g. Texas Forest Service, …)


22Meteorological data

SMOKE uses MM5 / MCIP output.

GloBEIS3 uses the observed temperatures.

TCEQ uses Photosynthetically Active Solar Radiation fields processed thru GOES satellite data analysis.

Split factors in BEIS3 and GloBEIS3Split factors in BEIS3 and GloBEIS3


11MONOTERPINESMONOTERPINES

22 OVOCsOVOCs

SpeciesSpecies BEIS3 BEIS3 2)2) (mole/kg) (mole/kg)

OLEOLEPARPARXYLXYLALD2ALD2NRNR

GloBEIS3 GloBEIS3 1)1) (mole/kg) (mole/kg)

4.174.1770.8370.83 -- -- 4.174.17

7.47.453.253.2 0.3290.329 6.26.2 0.3110.311

SpeciesSpecies BEIS3 (mole/kg)BEIS3 (mole/kg)

OLEOLEPARPARFORMFORMALD2ALD2ETHETHMEOHMEOHETOHETOHNRNRTERPBTERPB

GloBEIS3 (mole/kg) GloBEIS3 (mole/kg)

4.174.1750.0050.00 --12.5012.50 -- -- -- -- 8.338.33

4.34.312.812.8 1.21.2 33 2.12.145452121 1.291.29 --

Data sources: Data sources: 1)1) Texas Commission on Environmental Quality, 2002: Attachment 3 – Emissions Texas Commission on Environmental Quality, 2002: Attachment 3 – Emissions Inventory Inventory Development and Modeling for the August 25-September 1, 2000 Episode Development and Modeling for the August 25-September 1, 2000 Episode November 15, 2002. November 15, 2002. 2)2) Calculated based on GSPRO profiles for ‘BV309’ Calculated based on GSPRO profiles for ‘BV309’..

Biogenic emissions: ISOPBiogenic emissions: ISOP

GloBEIS3 (TCEQ)GloBEIS3 (TCEQ) BEIS3BEIS3

Biogenic 4km, GloBEIS3 & BEIS3, TexAQS 2000


Biogenic emissions: OLEBiogenic emissions: OLE

GloBEIS3 (TCEQ)GloBEIS3 (TCEQ) BEIS3BEIS3



Biogenic emissions: ETHBiogenic emissions: ETH

GLOBEIS3 (TCEQ)GLOBEIS3 (TCEQ) BEIS3BEIS3



No No speciation speciation No No emissions!!emissions!!

Biogenic emissionsBiogenic emissions

Biogenic 4km, GLOBEIS3 & BEIS3, TexAQS 2000Institute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality StudiesInstitute for Multi-dimensional Air Quality Studies

ISOP (TCEQ 4km Domain)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

1000

2000

3000

4000

5000

6000BEIS3 GloBEIS3

Em

issi

on r

a te s

(K

mo l

e /h r

)

Aug22 Aug23 Aug24 Aug25 Aug26 Aug27 Aug28 Aug29 Aug30 Aug31

Hour (CST)

ALD2 (TCEQ 4km Domain)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

200

400

600

800BEIS3 GloBEIS3

Em

issi

on r

a te s

(K

mo l

e /h r

)

Hour (CST)


OLE (TCEQ 4km Domain)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

200

400

600

800

1000BEIS3 GloBEIS3

Em

issi

on r

a te s

(K

mo l

e /h r

)

Hour (CST)


PAR (TCEQ 4km Domain)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

2000

4000

6000

8000BEIS3 GloBEIS3

Em

issi

on r

a te s

(K

mo l

e /h r

)

Hour (CST)


0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12

0

200

400

600

800

1000

1200Area/Nonroad Mobile Point Biogenic Total

OLE

Em

i ss i

o n r

a tes

(K

mol

e /hr

)

Aug23 Aug24 Aug25 Aug26 Aug27 Aug28 Aug29 Aug30 Aug31 Sep01

Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

200

400

600

800

1000


OLE

Em

i ss i

o n r

a tes

(K

mol

e /hr

)

Domain total emissions: OLEDomain total emissions: OLE


The SMOKEThe SMOKEsystem system (BEIS3)(BEIS3)

The The EPS2EPS2system system (GloBEIS(GloBEIS3)3)

BiogenicBiogenicemissionsemissions

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12

0

50

100

150

200

250


ET

H E

mi s

sion

ra t

e s (

Km

o le /

h r)

Aug23 Aug24 Aug25 Aug26 Aug27 Aug28 Aug29 Aug30 Aug31 Sep01

Hour (CST)

0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 12 0 120

50

100

150

200

250


ET

H E

mi s

sion

ra t

e s (

Km

o le /

h r)

Domain total emissions: ETHDomain total emissions: ETH


The SMOKEThe SMOKEsystem system (BEIS3)(BEIS3)

The The EPS2EPS2system system (GloBEIS(GloBEIS3)3)

No biogenicNo biogenicemissions!!emissions!!

BiogenicBiogenicemissionsemissions


CMAQ results: Daily Max. O3 Concentration CMAQ results: Daily Max. O3 Concentration

0

20

40

60

80

100

120

140

160EPS2+GloBEIS3 SMOKE+BEIS3 SMOKE+GloBEIS3

Aug23 Aug24 Aug25 Aug26 Aug27 Aug28 Aug29 Aug30 Aug31

Dai

ly m

a xim

um c

once

n tra

t ion

(ppb

)

Ambient O3 (TCEQ 4km Domain)

Hour (UTC)


06AM (CST)06AM (CST) 09AM09AM NoonNoon

03PM03PM 06PM06PM 09PM09PM

CMAQ results: O3(EPS2+GB3) – O3(SMOKE+B3)CMAQ results: O3(EPS2+GB3) – O3(SMOKE+B3)




CMAQ results: O3(EPS2+GB3) – O3(SMOKE+GB3)CMAQ results: O3(EPS2+GB3) – O3(SMOKE+GB3)




CMAQ results: O3(SMOKE+B3) – O3(SMOKE+GB3)CMAQ results: O3(SMOKE+B3) – O3(SMOKE+GB3)

ConclusionsConclusions

After CMAQ simulations using TEI, the SMOKE and EPS2 systems present more than 20 ppb differences in localized ambient ozone concentrations for the HGA.

Different VOC split factors including land use land cover and meteorological data present different biogenic emissions in BEIS3 and GloBEIS3.

Surrogates, chemical split factors and temporal Surrogates, chemical split factors and temporal profiles will be harmonized to test the system profiles will be harmonized to test the system algorithm differencesalgorithm differences in SMOKE and EPS2 in the in SMOKE and EPS2 in the near future. near future.

SMOKE and EPS2 present different emission rates of each VOC species for Texas EI after spatial allocation, chemical speciation, and temporal allocation due to different inputs of cross-reference and profile data.


BEIS3 will reprocessed with PAR, LULC and BEIS3 will reprocessed with PAR, LULC and temperature data used in GloBEIS3. temperature data used in GloBEIS3.

soontae kim and daewon w. byun comparison of emission estimates from smoke and eps2 used for...

Documents

shore emissions

biogenic emissions

pohourly emissions

negu point emissions

regular case emissions

data surrogates

shore surrogates

texas lulc