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Four Corners Air Qu= ality Task Force Modeling Study

Presentation Overvi= ew

Study Objectives and Design

Project Objectives<= /a>

Slide 5

Slide 6

Components of Model= ing Study

Modeling Methods

Slide 9

Numerical Modeling<= /a>

Meteorological Mode= ling (MM5)

Grid Model Concept<= /a>

Grid Resolution=

Modeling Domains

Ozone from NOx and = VOC

Primary and Seconda= ry PM

Eulerian (Grid) Mod= el Results

Model Results

Model Performance Evaluation

Slide 20

Model Performance Evaluation (cont.)

Model Performance: Concentrations

Slide 23

Model Performance: Visibility

Ozone Source Apport= ionment Technology

Emissions<= /font>

Emissions: Overview=

Point Sources

Oil & Gas

Other Area Sources<= /a>

Mobile Sources<= /b>

Fire Emissions<= /b>

Mitigation Scenario= s

Mitigation Scenario= s

Oil & Gas SCCs<= /a>

Slide 36

4 Corners Point Sou= rce
Emissions Inventory (2018)

Slide 38

Modeling of Potenti= al Mitigation Scenarios

Level of Potential Reductions

Questions?<= /font>

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Four Corners Air Qu= ality Task Force Modeling Study
Till Stoeckenius
ENVIRON Internation= al Corp.
7 November 2007

Presentation Overvi= ew
Study Objectives an= d Design
Modeling Methods
Base Case Emission<= /font>
Mitigation Scenario= s

Study Objectives and Design

Project Objectives<= /a>
Model air quality, = visibility, deposition impacts of air emissions in the Four Corners region
Evaluate impacts of= alternative mitigation strategies
Primary focus on im= pacts in Mesa Verde and Weminuche Class 1 areas and surrounding Class II areas.

Slide 5

Slide 6

Components of Model= ing Study
Modeling Protocol
Base Case Modeling<= /font>
2005 emissions and = meteorology
Model Performance E= valuation
Compare 2005 model = predictions to observations
Future Year Modelin= g
2018 base case
5 mitigation scenar= ios

Modeling Methods

Slide 9

Numerical Modeling<= /a>

Meteorological Mode= ling (MM5)

Grid Model Concept<= /a>

Grid Resolution=
Grid resolution can= be a limitation
Large grid size is = insufficient to
Treat chemistry at = plume scales
Resolve dispersion = in complex terrain
As grid size and ti= me step are reduced
Accuracy increases,= but
Computational time = increases
Advanced models emp= loy grid nesting
Improve accuracy in= critical locations

Modeling Domains

Ozone from NOx and = VOC

Primary and Seconda= ry PM
Primary PM (dust, f= uel combustion)
Secondary PM=
NOx → NO3 = 594; particulate nitrate
SO2 → SO4 = 594; particulate sulfate
VOC → organic= carbon particulate
NH4 most readily av= ailable neutralizing ion

Eulerian (Grid) Mod= el Results

Model Results
Current year=
Future year base ca= se
Future year mitigat= ion scenarios
Criteria pollutants=
Visibility
Annual deposition

Model Performance Evaluation
For 4 km domain
O3, PM10, PM2.5, PM= species, wet deposition
EPA/WRAP performanc= e measures
Limited diagnostics= for any unacceptable results
Justifiable perform= ance enhancements

Slide 20

Model Performance Evaluation (cont.)
Model Performance S= tatistical Metrics
Bias and Error
Correlation<= /td>
Model performance g= oals and criteria
Graphical displays = of model performance
Scatter Plots
Time Series Plots
Spatial maps w/ ove= rlaid observations
Bugle and Soccer Pl= ots
Bias/Error as funct= ion of time and concentration

Model Performance: Concentrations

Slide 23

Model Performance: Visibility

Ozone Source Apport= ionment Technology

Emissions<= /font>

Emissions: Overview=
2005 base case (nee= ded for MPE)
2018 future base ca= se (use WRAP)
Point, area, mobile= , windblown dust, biogenics
PM, SOx, NOx, VOC, = CO, NH3
SMOKE for allocatio= ns on 4 km domain
WRAP gridded emissi= ons on 36 km domain grown to 2005; use available 2018

Point Sources
Based on WRAP 2002 = and 2018
2005: Interpolate W= RAP 2002-2018
Obtained 2005 hourl= y EGU from EPA CAMD for EGUs in the 4 km domain
Includes Desert Roc= k

Oil & Gas
2005 Base Case
4 km domain: use Gi= ant/NMED 2005 inventory
4 km O&G surrog= ates were developed
Includes NW NM upda= tes from producer survey
Includes Southern U= te emissions estimates
36 km domain: use W= RAP O&G Phase II 2005 emissions
2018 Base Case
4 km domain: spatia= lly allocate WRAP 2018
36 km domain: use W= RAP O&G Phase II 2018
Includes emissions = for proposed Northern San Juan Basin CBM

Other Area Sources<= /a>
Includes road dust,= windblown dust, ag burning, and other smaller stationary sources as in WRAP invento= ries
2005
Windblown dust: ran= WRAP model
Biogenics: ran MEGA= N using 2005 MM5 data
NH3 emissions: ran = WRAP NH3 model using MM5 data
Other sources: inte= rpolated WRAP 2002 – 2018
2018: used WRAP emi= ssions except set 2018=3D2005 for NH3 and biogenic emissions
For 4 km domain use= d EPA RPO gridding surrogates

Mobile Sources<= /b>
On-road and off-roa= d
2005 Base Case: int= erpolated WRAP 2002 – 2008 with low S fuels adjustments
2018: used WRAP 201= 8
For 4 km domain use= d WRAP mobile source spatial surrogates in SMOKE

Fire Emissions<= /b>
No 2005 inventory (= resources not available)
Document times/locations/extents of major fires in 2005
Remove fire impact = events from model performance evaluation data

Mitigation Scenario= s
Kevin Golden, Carl = Daly
EPA Region VIII

Mitigation Scenario= s
Across the board re= ductions by source category
Apply via SMOKE to = 4 km grid only
Consider up to five= scenarios

Oil & Gas SCCs<= /a>

Slide 36

4 Corners Point Sou= rce
Emissions Inventory (2018)

Slide 38

Modeling of Potenti= al Mitigation Scenarios
Five mitigation mod= eling runs funded in current workplan with implementation assumed  by 2018:
Run 1: Model viable= high level AQTF controls from all source categories
Run 2: Model reason= ably available controls on oil and gas sources
Run 3: Model high l= evel of controls on oil and gas sources
Run 4  Enhanced high level of control on SJ = and FCPPs
Run 5 Held in reser= ve pending completion of first runs to address any emerging issues.

Level of Potential Reductions
Emission Inventorie= s are still being developed so numbers very tentative
Run 2 would include approximately 40 % NOx reduction from oil and gas area source sector
Run 3 would consider approximately 65 % NOx reduction and 5-20% VOC reduction from oil and gas area source sector.
Run 4 assumes SCR a= nd enhanced SO2 scrubbing at FC & FCPP (90+% control)

Questions?<= /font>

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= =
Four Corners Air Quality Task Force
= Modeling Study
<= /td> =
= Till Stoeckenius
ENVIRON International Corp.
7 November 2007
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Presentation Ov= erview
<= /td> = <= /td>
• Stu= dy Objectives and Design
• Mod= eling Methods
• Bas= e Case Emission
• Mit= igation Scenarios
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Study Objective= s and Design
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0007.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Project Objecti= ves
<= /td> = <= /td> = <= /td> <= /td> <= /td>
• Mod= el air quality, visibility, deposition
imp= acts of air emissions in the Four
Cor= ners region
• Eva= luate impacts of alternative
mit= igation strategies
• Pri= mary focus on impacts in Mesa
Ver= de and Weminuche Class 1 areas
and= surrounding Class II areas.
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<= /td>
= Four Corners
Domain
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Components of M= odeling Study
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ü Mod= eling Protocol
• Bas= e Case Modeling
– 200= 5 emissions and meteorology
• Mo= del Performance Evaluation
– Co= mpare 2005 model predictions to
   observations
• Fu= ture Year Modeling
– 201= 8 base case
– 5 m= itigation scenarios
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   Modeling Methods
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www.camx.com
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Concentrations
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= Numerical Modeling
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Meteorological = Modeling (MM5)
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Grid Model Conc= ept
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file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0024.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Grid Resolution=
<= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td> <= /td>
• Gr= id resolution can be a limitation
– Lar= ge grid size is insufficient to
• Tre= at chemistry at plume scales
• Res= olve dispersion in complex terrain
– As= grid size and time step are reduced
• Acc= uracy increases, but
• Com= putational time increases
• Ad= vanced models employ grid nesting
– Im= prove accuracy in critical locations
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0014.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Modeling Domain= s
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= Ozone from NOx and VOC
=
no sunlight    no ozone production
no = NOx          no ozone production
no = VOC         no ozone production
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Primary and Sec= ondary PM
<= /td> <= /td> <= /td> <= /td> = <= /td>
• Pr= imary PM (dust, fuel combustion)
• Sec= ondary PM
– NOx= → NO3 → particulate nitrate
– SO2= → SO4 → particulate sulfate
– VOC= → organic carbon particulate
– NH4= most readily available neutralizing
ion<= /font>
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0023.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
= Eulerian (Grid) Model Results
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Model Result= s
<= /td> <= /td> <= /td> <= /td> <= /td>
• Cur= rent year
• Fut= ure year base case
• Fut= ure year mitigation scenarios
• Cri= teria pollutants
• Visi= bility
• Ann= ual deposition
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Model Perfor= mance Evaluation
<= /td> <= /td> <= /td> <= /td> = <= /td>
• For= 4 km domain
• O3,= PM10, PM2.5, PM species, wet
dep= osition
• EPA= /WRAP performance measures
• Lim= ited diagnostics for any unacceptable
resu= lts
• Jus= tifiable performance enhancements
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
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Model Perfor= mance Evaluation (cont.)=
<= /td> <= /td> <= /td> <= /td> <= /td> <= /td> <= /td> = <= /td> <= /td>
• Model Performance Statistical Metrics
–= Bias and Error
–= Correlation
–= Model performance goals and criteria
• Graphical displays of model performance
–= Scatter Plots
–= Time Series Plots
–= Spatial maps w/ overlaid observations
–= Bugle and Soccer Plots
–= Bias/Error as function of time and concentration
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0070.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Model Performan= ce: Concentrations
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------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0039.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
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Point Source= s
<= /td> = = <= /td>
• Bas= ed on WRAP 2002 and 2018
• 200= 5: Interpolate WRAP 2002-2018
• Obt= ained 2005 hourly EGU from EPA
CAM= D for EGUs in the 4 km domain
• Inc= ludes Desert Rock
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Oil & Ga= s
<= /td> <= /td> <= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td>
• 20= 05 Base Case
– 4 = km domain: use Giant/NMED 2005 inventory
• 4 k= m O&G surrogates were developed
• Inc= ludes NW NM updates from producer survey
• Inc= ludes Southern Ute emissions estimates
– 36= km domain: use WRAP O&G Phase II 2005
emis= sions
• 20= 18 Base Case
– 4 = km domain: spatially allocate WRAP 2018
– 36= km domain: use WRAP O&G Phase II 2018
– In= cludes emissions for proposed Northern San Juan
Basi= n CBM
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Other Area S= ources
<= /td> <= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td> <= /td>
• In= cludes road dust, windblown dust, ag burning, and
ot= her smaller stationary sources as in WRAP
inve= ntories
• 2005=
– Win= dblown dust: ran WRAP model
– Bio= genics: ran MEGAN using 2005 MM5 data
– NH3= emissions: ran WRAP NH3 model using MM5 data
– Oth= er sources: interpolated WRAP 2002 – 2018
• 20= 18: used WRAP emissions except set 2018=3D2005
for= NH3 and biogenic emissions
• Fo= r 4 km domain used EPA RPO gridding surrogates
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Mobile Sourc= es
<= /td> = <= /td> <= /td> <= /td> <= /td>
• On-= road and off-road
• 200= 5 Base Case: interpolated WRAP
200= 2 – 2008 with low S fuels
adj= ustments
• 201= 8: used WRAP 2018
• For= 4 km domain used WRAP mobile
sou= rce spatial surrogates in SMOKE
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Fire Emissio= ns
<= /td> <= /td> <= /td> = <= /td> <= /td>
• No = 2005 inventory (resources not
avai= lable)
• Doc= ument times/locations/extents of
maj= or fires in 2005
• Rem= ove fire impact events from
mod= el performance evaluation data
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Mitigation Scenarios
<= /td> =
Kevin Golden, Carl Daly
= EPA Region VIII
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file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0046.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Mitigation Scenarios
<= /td> <= /td> = <= /td>
• Acr= oss the board reductions by source
cate= gory
• App= ly via SMOKE to 4 km grid only
• Con= sider up to five scenarios
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0047.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
Oil & Gas SCCs
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/auXV4cPWBR2GzNdFsiwVHSxuupU8xRVxVeYtQksnitfZtglMes23BuzbGTFFpO4aYKzLFOFu4e0 BgIoNptHUdsSU0u1L9uRaKyEQ+vGbwzHFlAAADs= ------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/v3_slide0064.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Four Corners Air Quality Modeling Study
<= /td> =
4 Corners O&G Area Source Emissions
= Inventory (2018)
<= /td>
NOx tons per year
(approx.)
Small Compre= ssor/Engines
44k
Heaters
12k
Drill Rigs
2k
Misc O&G= Area Sources
3k
Total O&= G Area NOx
61k tpy
Total O&= G Area VOCs
164k tpy
Total O&= G Area CO
45k tpy
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<= /td> =
4 Corners Point Source
Emissions Inventory (2018)
<= /td>
NOx tons per year
(approx.)
Permitted (L= arge) O&G Engines
12k
Permitted O&= amp;G Turbines
7k
Coal Power P= lants
64k
Misc Point S= ources
10k
Total Point = Sources
93k
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= =
4 Corners Power Plant Source Emissions
= Inventory (2018)
<= /td>
NOx tons per year
(approx)
San Juan GS
22k
Four Corners= PP
32k
Desert Rock E= F
3k
Others
7k
<= b>tons per year (approx.)
Total NOx=
64k
Total SO2=
25k
Total VOC=
.5k
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Modeling of Potential Mitigation Scenarios
<= /td> <= /td> <= /td> = = <= /td> <= /td> <= /td>
• = Five mitigation modeling runs funded in current workplan with
= implementation assumed  by 2018:
• = Run 1: Model viable high level AQTF controls from all source
c= ategories
• = Run 2: Model reasonably available controls on oil and gas sources
• = Run 3: Model high level of controls on oil and gas sources
• = Run 4  Enhanced high level of control on S= J and FCPPs
• Run 5 Held in reserve pending completion of first runs to address any
= emerging issues.
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Level of Potential Reductions
<= /td> <= /td> <= /td> <= /td> = <= /td> <= /td>
• = Emission Inventories are still being developed so numbers very
t= entative
• = Run 2 would include approximately 40 % NOx reduction from oil and
= gas area source sector
• = Run 3 would consider approximately 65 % NOx reduction and 5-20%
= VOC reduction from oil and gas area source sector.
• = Run 4 assumes SCR and enhanced SO2 scrubbing at FC & FCPP
(= 90+% control)
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Questions?
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ENVIRON_MitigationModeling_final.ppt
Four Corners Air Quality Task Force Modeling Study
=
Till Stoeckenius&#= 13;
ENVIRON Internatio= nal Corp.
7 Nove= mber 2007
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ENVIRON_MitigationMo= deling_final.ppt
Presentation Overview
•Study Objectives and Design
•Modeling Methods
•Base Case Emission
•Mitigation Scenarios
•
•
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------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/slide0074.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Four Corners Air Quality Modeling Study
ENVIRON_MitigationMo= deling_final.ppt
Study Objectives and Design
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/slide0007.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Four Corners Air Quality Modeling Study
ENVIRON_MitigationMo= deling_final.ppt
Project Objectives
•Model air quality, visibility, deposition impacts of air emissions in the Four Corners region •Evaluate impacts of alternative mitigation strategies •Primary focus on impacts in Mesa Verde and Weminuche Class 1 areas and surrounding Class II areas.
------=_NextPart_01C825EA.C64BF1E0 Content-Location: file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/slide0020.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Four Corners Air Quality Modeling Study
ENVIRON_MitigationMo= deling_final.ppt
Four Corners Domain
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ENVIRON_MitigationMo= deling_final.ppt
Note t= hree major PP and inclusion of Desert Rock
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file:///C:/711D0850/FCAQTF_Durango_110707_a0_files/slide0010.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Four Corners Air Quality Modeling Study
ENVIRON_MitigationMo= deling_final.ppt
Components of Modeling Study
üModeling Protocol
•Base Case Modeling =
–2= 005 emissions and meteorology
•Model Performance Evaluation
–C= ompare 2005 model predictions to observations
•Future Year Modeling
–2= 018 base case
–5 mitigation scenarios
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ENVIRON_MitigationMo= deling_final.ppt
Modeling Methods=
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ENVIRON_MitigationMo= deling_final.ppt
3D"Radial
Meteorological= 3;
Model
MM5
Predicted
Concentrations
Other Inputs
= Emissions
Photochemical = ;
Dispersion Model&= #13;
CAMx<= /div>
www.camx.com
www.mmm.ucar.edu/mm5/
CAMx: = open source community model; publicly available code for use and modification (www.camx.com)
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ENVIRON_MitigationMo= deling_final.ppt
Numerical Modeling
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