Stephen Reid, Hilary Hafner, Yuan Du Sonoma Technology, Inc.

Slides:



Advertisements
Similar presentations
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 2008 CAMx Modeling Model Performance Evaluation Summary University of North Carolina.
Advertisements

` 1 Source Attribution of Mobile Source Air Toxics Eric M. Fujita, David E. Campbell, William P. Arnott and Barbara Zielinska Division of Atmospheric Sciences.
Ozone transport network Guoxun Tian CS 790G Fall 2010.
Jenny Stocker, Christina Hood, David Carruthers, Martin Seaton, Kate Johnson, Jimmy Fung The Development and Evaluation of an Automated System for Nesting.
1 icfi.com | 1 HIGH-RESOLUTION AIR QUALITY MODELING OF NEW YORK CITY TO ASSESS THE EFFECTS OF CHANGES IN FUELS FOR BOILERS AND POWER GENERATION 13 th Annual.
Missouri Air Quality Issues Stephen Hall Air Quality Analysis Section Air Pollution Control Program Air Quality Applied Sciences Team (AQAST) 9 th Semi-Annual.
Issues on Ozone Planning in the Western United States Prepared by the WESTAR Planning Committee for the Fall Business Meeting, Tempe, AZ October 31, 2011.
Modeling the Co-Benefits of Carbon Standards for Existing Power Plants STI-6102 Stephen Reid, Ken Craig, Garnet Erdakos Sonoma Technology, Inc. Jonathan.
Weekend/Weekday Ozone Observations in the South Coast Air Basin Sponsored by National Renewable Energy Laboratory and Coordinating Research Council Eric.
Muntaseer Billah, Satoru Chatani and Kengo Sudo Department of Earth and Environmental Science Graduate School of Environmental Studies Nagoya University,
Examination of the impact of recent laboratory evidence of photoexcited NO 2 chemistry on simulated summer-time regional air quality Golam Sarwar, Robert.
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.
1 Evaluation Of Evaporative Emissions From Pleasure Craft June 27, 2007.
COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,
Available Analytical Approaches for Estimating Fire Impacts on Ozone Formation Stephen Reid Sean Raffuse Hilary Hafner Sonoma Technology, Inc. Petaluma,
Clinton MacDonald 1, Kenneth Craig 1, Jennifer DeWinter 1, Adam Pasch 1, Brigette Tollstrup 2, and Aleta Kennard 2 1 Sonoma Technology, Inc., Petaluma,
Air Quality Impacts from a Potential Shale Gas Emissions Scenario - Photochemical Modeling of Ozone Concentrations in Central North Carolina Presented.
Modeling Overview For Barrio Logan Community Health Neighborhood Assessment Program Andrew Ranzieri Vlad Isakov Tony Servin Shuming Du October 10, 2001.
Use of Photochemical Grid Modeling to Quantify Ozone Impacts from Fires in Support of Exceptional Event Demonstrations STI-5704 Kenneth Craig, Daniel Alrick,
Estimating Biogenic VOC Emissions for the SCOS Domain Using the BEIGIS Model Michael Benjamin & Klaus Scott California Air Resources Board SCOS97 regional.
Henry Hogo Assistant Deputy Executive Officer Mobile Source Division Science and Technology Advancement 2015 International Emission Inventory Conference.
1 Neil Wheeler, Kenneth Craig, and Clinton MacDonald Sonoma Technology, Inc. Petaluma, California Presented at the Sixth Annual Community Modeling and.
On the Model’s Ability to Capture Key Measures Relevant to Air Quality Policies through Analysis of Multi-Year O 3 Observations and CMAQ Simulations Daiwen.
Georgia Environmental Protection Division IMPACTS OF MODELING CHOICES ON RELATIVE RESPONSE FACTORS IN ATLANTA, GA Byeong-Uk Kim, Maudood Khan, Amit Marmur,
PM Model Performance in Southern California Using UAMAERO-LT Joseph Cassmassi Senior Meteorologist SCAQMD February 11, 2004.
Techniques for Evaluating Wildfire Smoke Impact on Ozone for Possible Exceptional Events Daniel Alrick 1, Clinton MacDonald 1, Brigette Tollstrup 2, Charles.
Why Ozone is Higher on Weekends in the South Coast Air Basin: a 20-Year Perspective Eric Fujita, William Stockwell, Robert Keislar, and Dave Campbell Division.
Public Meeting to Discuss “Weekend Effect” Research June 23, 1999.
FINAL1 Inventory, Emissions, and Population July 2, 2003 AIR, Inc.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Modeling Wildfire Emissions Using Geographic Information Systems (GIS) Technology and Satellite Data STI-3009 Presented by Neil J. M. Wheeler Sonoma Technology,
1 Understanding Relationships Between Changes in Ambient Ozone and Precursor Concentrations and Changes in VOC and NOx Emissions from 1990 to 2004 in Central.
Template Simulation of Wintertime High Ozone Concentrations in Southwestern Wyoming Ralph E. Morris, Susan Kemball-Cook, Bonyoung Koo, Till Stoeckenius.
Statewide Protocol: Regional Application August 27, 2003 Air Resources Board California Environmental Protection Agency Luis F. Woodhouse.
William G. Benjey* Physical Scientist NOAA Air Resources Laboratory Atmospheric Sciences Modeling Division Research Triangle Park, NC Fifth Annual CMAS.
C. Hogrefe 1,2, W. Hao 2, E.E. Zalewsky 2, J.-Y. Ku 2, B. Lynn 3, C. Rosenzweig 4, M. Schultz 5, S. Rast 6, M. Newchurch 7, L. Wang 7, P.L. Kinney 8, and.
Weekend/Weekday Ozone Observations in the South Coast Air Basin Phase 1 Report Sponsored by National Renewable Energy Laboratory and Coordinating Research.
May 22, UNDERSTANDING THE EFFECTIVENESS OF PRECURSOR REDUCTIONS IN LOWERING 8-HOUR OZONE CONCENTRATIONS Steve Reynolds Charles Blanchard Envair 12.
Implementation Workgroup Meeting December 6, 2006 Attribution of Haze Workgroup’s Monitoring Metrics Document Status: 1)2018 Visibility Projections – Alternative.
WRAP Stationary Sources Joint Forum Meeting August 16, 2006 The CMAQ Visibility Model Applied To Rural Ozone In The Intermountain West Patrick Barickman.
1 South Coast AQMD Staff Comments on Proposed Regulation for In-Use Off-Road Diesel Vehicles South Coast Air Quality Management District Agenda Item No.
June 29, 2011NASA/ARB Data Analyses Discussion1 What can We Learn from ARCTAS-CARB Data? Modeling and Meteorology Branch Planning and Technical Support.
Template A screening method for ozone impacts of new sources based on high-order sensitivity analysis of CAMx simulations for Sydney Greg Yarwood
Operational Evaluation and Model Response Comparison of CAMx and CMAQ for Ozone & PM2.5 Kirk Baker, Brian Timin, Sharon Phillips U.S. Environmental Protection.
Sulfate Discussion WRAP Meeting – Tucson, AZ January 10/11, 2006 Joe Adlhoch - Air Resource Specialists, Inc.
Workshop on Air Quality Data Analysis and Interpretation Evaluation of Emission Inventory.
Nitrate Discussion WRAP Meeting – Tucson, AZ January 10/11, 2006 Joe Adlhoch - Air Resource Specialists, Inc.
Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1
SMOKE-MOVES Processing
Ozone Transport Analysis Using Back-Trajectories and CAMx Probing Tools Sue Kemball-Cook, Greg Yarwood, Bonyoung Koo and Jeremiah Johnson, ENVIRON Jim.
Dynamic Evaluation of CMAQ-Modeled Ozone Response to Emission Changes in The South coast air Basin Prakash Karamchandani1, Ralph Morris1, Andrew Wentland1,
Predicting PM2.5 Concentrations that Result from Compliance with National Ambient Air Quality Standards (NAAQS) James T. Kelly, Adam Reff, and Brett Gantt.
Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025
CMAS Annual Conference, October 24-26, 2016, Chapel Hill, NC
MOVES-Based NOx Analyses for Urban Case Studies in Texas
Kenneth Craig, Garnet Erdakos, Lynn Baringer, and Stephen Reid
Photochemical Modeling of Industrial Flare Plumes with SCICHEM 3.1
Source Apportionment Modeling to Investigate Background, Regional, and Local Contributions to Ozone Concentrations in Denver, Phoenix, Detroit, and Atlanta.
C. Nolte, T. Spero, P. Dolwick, B. Henderson, R. Pinder
17th Annual CMAS Conference, Chapel Hill, NC
Predicting Future-Year Ozone Concentrations: Integrated Observational-Modeling Approach for Probabilistic Evaluation of the Efficacy of Emission Control.
Impact of GOES Enhanced WRF Fields on Air Quality Model Performance
Emission and Air Quality Trends Review
Uncertainties influencing dynamic evaluation of ozone trends
Emission and Air Quality Trends Review
REGIONAL AND LOCAL-SCALE EVALUATION OF 2002 MM5 METEOROLOGICAL FIELDS FOR VARIOUS AIR QUALITY MODELING APPLICATIONS Pat Dolwick*, U.S. EPA, RTP, NC, USA.
Emission and Air Quality Trends Review
Emission and Air Quality Trends Review
Diagnostic and Operational Evaluation of 2002 and 2005 Estimated 8-hr Ozone to Support Model Attainment Demonstrations Kirk Baker Donna Kenski Lake Michigan.
Joe Adlhoch - Air Resource Specialists, Inc.
Presentation transcript:

Emissions Reconciliation Analyses in California's South Coast Air Basin Stephen Reid, Hilary Hafner, Yuan Du Sonoma Technology, Inc. Timothy French Truck and Engine Manufacturers Association 15th Annual CMAS Conference Chapel Hill, NC October 24, 2016 620000-6539

Presentation Outline Background and Objectives Technical Approach Previous Studies in California's South Coast Air Basin (SoCAB) Key Findings Conclusions

Emissions Reconciliation (1) Background and Objectives Emissions Reconciliation (1) Emissions inventories are critical components of air quality management plans Accurate emission inputs are required for photochemical modeling efforts Emissions reconciliations help to evaluate model-ready inventories by comparing emission estimates with ambient monitoring data

Emissions Reconciliation (2) Background and Objectives Emissions Reconciliation (2) Focuses on pollutant ratios (e.g., VOC/NOx) rather than the absolute magnitude of emissions Most applicable to situations where the observed concentrations are dominated by local emissions Rule of thumb: ambient- and emissions inventory-derived ratios that are within ±25 to 50% are considered to be in good agreement

Background and Objectives Evaluate emissions data used for modeling done in support of the 2016 South Coast AQMP Companion to dynamic model evaluation by Ramboll Environ Key elements Ambient/emissions comparisons for 2012 baseline year Trends comparisons using backcast (1995, 2000, 2005, 2008) and projected (2015) inventories

Ambient Monitoring Data Technical Approach Ambient Monitoring Data Evaluated PAMS and other monitoring sites in the SoCAB Identified eight sites with suitable data Selected ozone season (May through October) data from early morning hours (0500–0900 PST) Validated and screened data

Emissions Inventory Data (1) Technical Approach Emissions Inventory Data (1) Started with CMAQ-ready emissions inputs 4-km grid resolution SAPRC07 chemical mechanism Eliminated SAPRC07 species not detected by PAMS instruments (e.g., methane) Converted VOC emissions to moles of carbon (moles-C) to match the PAMS data (reported as ppbC)

Emissions Inventory Data (2) Technical Approach Emissions Inventory Data (2) Selected data from morning hours (0500-0900 PST) and grid cells of interest Grid analysis zones for each monitoring site was defined based on average morning wind speeds

Ambient/Emissions Comparisons Technical Approach Ambient/Emissions Comparisons Compared historical trends in ambient pollutant concentrations and emissions inventory estimates Calculated and compared trends in TNMOC/NOx and CO/NOx ratios for ambient concentrations and emissions inventory data Sample trends plots shown for the Asuza site

SoCAB PAMS Analysis 2005 STI analysis on behalf of SCAQMD1 Previous Studies SoCAB PAMS Analysis 2005 STI analysis on behalf of SCAQMD1 Ambient data from North Main site for summer mornings (0500-0800 PST) ARB inventories for LA County, 1993-2001 Ambient VOC/NOx ratios declining over time Agreement between ambient- and emissions inventory-derived ratios improved over time

SoCAB Ozone Trends Analysis Previous Studies SoCAB Ozone Trends Analysis 2013 DRI-led analysis followed up on two previous studies2 Ambient TNMOC/NOx ratio twice as high as emission ratio in 1987 Agreement in 1997 Bar represent average results across all SoCAB sites In 2009, ambient ratio increases relative to 1997, while emission ratio continues to decrease Ambient ratio again twice as high as emission ratio

Ambient Monitoring Data Trends Key Findings Ambient Monitoring Data Trends Overall “glide path” shows decreases in pollutant concentrations over time However, significant year-to-year variability occurs at some sites Burbank LANM

Key Findings Trends Comparisons Calculated average annual changes in concentrations and emissions from 1995 to 2015 Generally good agreement, although emissions trends do not capture potential site-specific variations over time

2012 Pollutant Ratios Key Findings Site TNMOC/NOx CO/NOx Ambient Emissions Ambient/ Emissions Burbank -- 9.5 9.4 1.0 LAXH 6.7 2.9 2.3 LANM 9.8 3.2 3.1 14.0 9.3 1.5 Pico Rivera 5.4 1.7 8.1 8.9 0.9 Azusa 10.0 3.9 2.6 10.5 1.3 Rubidoux 5.9 2.8 2.1 10.1 Santa Clarita 3.3 2.0 10.2 7.6 Average 7.4 10.4 8.3 1.2

Key Findings TNMOC/NOx Ratios (1) Burbank LAXH Pico Rivera LANM 3.1x

TNMOC/NOx Ratios (2) Key Findings Santa Clarita Rubidoux Upland Azusa

Key Findings CO/NOx Ratios (1) Burbank LAXH LANM Pico Rivera

Key Findings CO/NOx Ratios (2) Azusa Santa Clarita Rubidoux Upland

Conclusions (1) Trends analysis TNMOC/NOx ratios Overall decrease in ambient concentrations, with significant year-to-year variations General agreement between annual average reduction rates in ambient pollutant concentrations and emission inventory levels TNMOC/NOx ratios Consistently higher in the ambient monitoring data than in the emissions inventory data (by a factor of ~2 to 3 in 2012) Indicates that TNMOC emissions are under-estimated, NOx emissions are over-estimated, or both At some sites, agreement between ambient- and emissions-derived ratios less favorable in 2012 than in previous years

Conclusions (2) CO/NOx ratios Potential emission inventory issues Generally higher in the ambient data than in the emissions data Agreement is good (within 50%) for most sites and years Potential emission inventory issues Temperature effects on evaporative emissions1 NOx zero-hour emission rates and deterioration rates for heavy duty vehicles3

Contact References Stephen Reid Manager, Environmental Modeling Division sreid@sonomatech.com 707.665.9900 References 1Chinkin L.R., Penfold B.M., Brown S.G., and Hafner H.R. (2005) Emission inventory evaluation and reconciliation in the South Coast Air Basin. Final report prepared for South Coast Air Quality Management District, Diamond Bar, CA, by Sonoma Technology, Inc., Petaluma, CA, STI-904045-2728-FR, August. 2Fujita, E. M., Campbell, D. E., Stockwell, W. R., and Lawson, D. R. (2013). Past and future ozone trends in California's South Coast Air Basin: Reconciliation of ambient measurements with past and projected emission inventories. Journal of the Air & Waste Management Association, 63(1), 54-69. 3Mandel J.R. and French T.A. (2016) Comments of the Truck and Engine Manufacturers Association on SCAQMD’s Draft 2016 Air Quality Management Plan. Submitted to the South Coast Air Quality Management District, August 19. sonomatech.com @sonoma_tech