Computational Methods and Tools for Air Quality Exposure Assessments and Solutions

Wang, Yuzhou

GH012
Computational Methods and Tools for Air Quality Exposure Assessments and Solutions

Session ID#: 247685

Session Description:

Air pollution is one of the largest environmental risks to human health worldwide. It originates from diverse sources, and pollution levels are unevenly distributed across countries, regions, cities, and communities. Given the highly heterogeneous nature of air pollution, it is important to have a toolkit of models and methods to accurately and efficiently quantify the source contributions and ambient pollutant concentrations for developing effective and equitable policy solutions. This session seeks to highlight research from across the globe that focuses on the development and deployment of computational methods for high-resolution exposure assessment and source attribution across local to global spatial scales. Featured tools will include data-driven frameworks with a focus on satellite-based approaches, models that integrate low-cost sensors and mobile monitoring, chemical transport model-derived tools, reduced-form models, machine-learning models, and other hybrid approaches.

Co-Sponsor(s):

A - Atmospheric Sciences
GC - Global Environmental Change

Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0545 Modeling [COMPUTATIONAL GEOPHYSICS]
1952 Modeling [INFORMATICS]

Primary Convener: Yuzhou Wang, PhD, University of California Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA, United States; Texas A&M University, Civil and Environmental Engineering, College Station, United States

Conveners: Srinidhi Balasubramanian, Indian Institute of Technology Bombay, Environmental Science and Engineering, Mumbai, India, Christopher Tessum, University of Illinois at Urbana Champaign, Urbana, United States and Yuqiang Zhang, Shandong University, Environment Research Institute, Qingdao, China

Student/Early Career Convener: Yuzhou Wang, PhD, University of California Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA, United States; Texas A&M University, Civil and Environmental Engineering, College Station, United States

Identification of air pollution control areas for the management of extreme PM_2.5 regions in India (1860340)

Neeldip Barman¹, Lucas Rojas Mendoza², Yuzhou Wang, PhD^3,4, Zainab Arub¹, Shivam Saxena¹, Joshua Apte², Julian Marshall⁵, Srinidhi Balasubramanian⁶ and Chandra Venkataraman^1,7, (1)Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, (2)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (3)University of California Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA, United States, (4)Texas A&M University, Civil and Environmental Engineering, College Station, United States, (5)University of Washington, Civil and Environmental Engineering, Seattle, United States, (6)Indian Institute of Technology Bombay, Environmental Science and Engineering, Mumbai, India, (7)Indian Institute of Technology Bombay, Department of Chemical Engineering, Mumbai, India

Dynamic Exposure Assessment of Fine Particulate Matter across Multiple Traffic Microenvironments in a Chinese Megacity (1866596)

Xinyun Chen, Ruoxi WU and Shaojun Zhang, School of Environment, Tsinghua University, Beijing, China

High Resolution Air Quality Refinement Using Multi-Domain Nesting and Deep U-Net Bias Correction (1866892)

Wenxiu Zhang, Hong Kong University of science and technology, Hong Kong, Hong Kong and Alexis Kai-Hon Lau, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

Developing a Framework to Assess the Co-Benefits of Local Mitigation Action Plans: insights from the EU Covenant of Mayors initiative (1867951)

Enrico Pisoni¹, Stefano Zauli², Fabio Monforti-Ferrario³, Joana Bastos³, Luana Valentini⁴, Marta Giulia Baldi⁵ and Giulia Melica³, (1)European Commission Joint Research Centre, Ispra VA, Italy, (2)European Commission Joint Research Centre, Ispra, Italy, (3)European Commission, Joint Research Centre, Ispra, Italy, (4)Dukat, Barcelona, Spain, (5)Independent Consultant, Ispra, Italy

High-resolution estimates of source contributions to PM_2.5, O₃, and NO₂ health burdens worldwide. (Invited) (1869083)

Daven K Henze, University of Colorado Boulder, Boulder, United States, Omar Nawaz, Cardiff University, Cardiff, United Kingdom, Patrick Wiecko, University of Colorado at Boulder, Environmental Engineering, Boulder, United States, Jinkyul Choi, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Yixuan Gu, Nanjing University of Information Science & Technology, School of Environmental Science and Engineering, Nanjing, China

Spatial and Distributional Air Quality Impacts of New York City’s Congestion Pricing Policy: Evidence from Ground and Satellite Observations (1881076)

Daniel M Westervelt, Lamont-Doherty Earth Observatory, Columbia University, New York, United States, Polina Goldberg, Columbia University, Department of Computer Science, New York, United States and Abhishek Anand, Lamont -Doherty Earth Observatory, Palisades, United States

Examining changes in city-scale NOₓ, PM_2.5, and CO emissions at 1 km resolution by diesel, gasoline, and electric vehicles (1897180)

Xiaorong Shan¹, Sumaiya Hussain² and Lucas Henneman², (1)George Mason University Fairfax, Fairfax, VA, United States, (2)George Mason University, Civil, Environmental, and Infrastructure Engineering, Fairfax, United States

Constraining Black Carbon Emissions in California Using Log-transformed Bayesian Inversion (1897470)

Jie Zhang¹, Ling Jin¹, Qi Ying², Soroush Esmaeili Neyestani³, Xinyi Zhang⁴, Jiachen Zhang⁴, Tin Ho⁵, Chelsea Preble¹, Thomas Kirchstetter⁶, Xiaodan Xu⁵, Anna Spurlock⁵, Hanna Breunig⁵ and James Butler⁷, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Hong Kong University of Science and Technology, Division of Environment and Sustainability, Hong Kong, Hong Kong, (3)University of California Riverside, Department of Environmental Sciences, Riverside, CA, United States, (4)University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, United States, (6)UC Berkeley, Berkeley, CA, United States, (7)UC Berkeley, Berkeley, United States

High-Resolution PM_2.5 Exposure Assessment of Large Scale Deployment of Biomass Distributed Generation in California Using InMAP (1902626)

Xinyi Zhang¹, Sarah Smith², Yuhan Wang³, Sarah Nordahl², Hanna Breunig², Corinne D. Scown², Jiachen Zhang¹ and Ling Jin², (1)University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Stanford University, Earth System Science, Stanford, United States

Development and Application of a Symbolic Equation-Based Reduced-Complexity Atmospheric Chemical Transport Model (1903333)

Jialin Liu, University of Illinois at Urbana Champaign, Champaign, United States, Christopher Rackauckas, Massachusetts Institute of Technology, Cambridge, United States and Christopher Tessum, University of Illinois at Urbana Champaign, Urbana, United States

Applying machine learning and statistical modeling approaches to remote sensing observations for inferring surface-level NO₂ (Invited) (1908396)

Muhammad Omar Nawaz, Cardiff University, School of Earth and Environmental Sciences, Cardiff, United Kingdom, Veronica Southerland, Environmental Defense Fund DC, Washington, United States, Daniel E Horton, Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, IL, United States, Victoria Lang, Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, United States, Susan Anenberg, George Washington University, Washington, United States, Daniel L Goldberg, George Washington University, Washington, DC, United States and Gaige Hunter Kerr, George Washington University, Earth and Atmospheric Sciences, Washington, DC, United States

Attributing Interstate Air Pollution: An Airshed Approach (1920123)

Wenxu Liao, University of Notre Dame, Notre Dame, IN, United States, Paola Crippa, University of Notre Dame, Civil and Environmental Engineering and Earth Sciences, Notre Dame, United States and Richard Marcantonio, University of Notre Dame, Notre Dame, United States

A Microscale Chemical Transport Model Simulation of an Ozone Episode in Detroit, Michigan (1921897)

Eduardo Pantig Olaguer Jr, Michigan Department of Environment, Great Lakes and Energy, Lansing, United States

A Computational Framework for Modeling Air Quality Exposure: From Outdoor to Indoor Environments (1925976)

Jialei Shen and Moiz Usmani, University of Alabama at Birmingham, Civil, Construction, and Environmental Engineering, Birmingham, AL, United States

Landfill Burning Detection for Air Quality Impacts in South and Southeast Asia: A Machine Learning Approach (1931414)

Metta Nicholson, Stanford University, Emmett Interdisciplinary Program in Environment and Resources, Stanford, United States, Paul Tulloch, Stanford University, Stanford, United States and Robert B Jackson, Stanford University, Earth System Science, Stanford, United States

Data-Driven PM_2.5 Predictions and Health Assessment at 1 km Resolution Across the Contiguous United States (1932073)

Zhen Qu, North Carolina State University Raleigh, Raleigh, NC, United States and Kai Fan, North Carolina State University, Raleigh, United States

New Source-Receptor Tools for Air Quality Management in California (1938382)

Yuzhou Wang, PhD^1,2, Cassidy Barrientos³, Ling Jin⁴, Libby Koolik³, Julian Marshall⁵, Lucas Rojas Mendoza³, Alper Unal⁵, Chandra Venkataraman^6,7, Yuhan Wang⁸ and Joshua Apte^3,9, (1)Texas A&M University, Civil and Environmental Engineering, College Station, United States, (2)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States, (3)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)University of Washington, Civil and Environmental Engineering, Seattle, United States, (6)Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, (7)Indian Institute of Technology Bombay, Department of Chemical Engineering, Mumbai, India, (8)Stanford University, Earth System Science, Stanford, United States, (9)University of California, Berkeley, School of Public Health, Berkeley, United States

Machine Learning-Based Bias Correction for Improving PM2.5 Prediction Performance Using the Community Multiscale Air Quality (CMAQ) Model (1938405)

Seong-il Lee¹, Hyo-Jong Song², Hye-Ryun Oh³ and Youngchae Kwon², (1)Myongji University, Yongin-si, South Korea, (2)Myongji University, Dept. of Environmental Engineering and Energy, Seoul, South Korea, (3)Kyungpook National University, Department of Earth Science Education, Daegu, South Korea

Contributions of NO_x and VCP Emissions to Nonlinear Air Pollution Formation and Acute Health Effects Through Higher-Order Sensitivity Analysis with CMAQ-hyd (1939091)

Jiachen Liu and Shannon Capps, Drexel University, Civil, Architectural, and Environmental Engineering, Philadelphia, PA, United States

Long-Term Spatiotemporal Trends in Aerosol Composition and Exposure over South Asia Using Satellite Observations and Machine Learning (1940811)

Shreya Srivastava¹, Sagnik Dey¹, Vasu Singh¹, Sudipan Saha² and Chandra Venkataraman³, (1)Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India, (2)Indian Institute of Technology Delhi, Yardi School of Artificial Intelligence, New Delhi, India, (3)Indian Institute of Technology Bombay, Department of Chemical Engineering, Mumbai, India

Enhancing PM2.5 Prediction with Machine Learning: Assessment of RandomForest Models with Standard and Optuna-Optimized Settings in Kerala, India (1941169)

Dr. Tiju JOSEPH Mathew, Department Of Physics, Christian College, Chengannur, Kerala, India, Alappuzha, India and Greeshma Nair L, Department of Physics, Christian College, Chengannur, Kerala, India, Chengannur, India

From Watts to Wheels: Comparing electrification pathways of light- and heavy-duty vehicles in the U.S. Midwest – assessing air quality, public health, and equity outcomes (1946463)

Victoria Lang¹, Sara F Camilleri^1,2, Anastasia Montgomery^1,3, Maxime A Visa¹, Jordan Schnell^1,4, Mark Janssen⁵, Zachariah Adelman⁵, Susan Anenberg⁶, Emily Grubert⁷ and Daniel E Horton⁸, (1)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, United States, (2)Ecostack Innovations Limited, Paola, Malta, (3)Crosswalk Labs, Washington, United States, (4)CIRES/CU, Boulder, United States, (5)Lake Michigan Air Directors Consortium, Hillside, United States, (6)George Washington University, Department of Environmental and Occupational Health, Washington, DC, United States, (7)University of Notre Dame, Keough School of Global Affairs, Notre Dame, IN, United States, (8)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, IL, United States

Substantial But Unequal Health Benefits from Electric Vehicles Adoption in China (1958029)

Yifan Wen¹, Shaojun Zhang² and Ye Wu², (1)BNU Beijing Normal University, Beijing, China, (2)School of Environment, Tsinghua University, Beijing, China

High Resolution Air Pollution Monitoring in Louisiana Through Satellite, Sensor, and Machine Learning Integration (1965009)

Amanda Murray¹, Alexander Kolker², Kory Kirshenbaum³ and D. Alex Hughes³, (1)Duke University, Durham, NC, United States, (2)LUMCON, Chauvin, LA, United States, (3)University of California Berkeley, Berkeley, United States

Developing an interdisciplinary modeling pipeline to study health implications of wildfire smoke transport over the United States (1968431)

Manho Park¹, Shawn P Urbanski², Hamidreza Emamipour³, Amy Collins⁴, Mark Kreider⁵, Joseph Fargione⁶, Rachel Houtman⁷, Seth Spawn-Lee⁶, Aaron G Kamoske⁸, Christopher Tessum³, Kimberely Davis⁷, Karin Riley⁷, Sarah Anderson⁷, Scott Barndt⁷ and Kimberley Ordonez⁵, (1)University of Illinois Urbana-Champaign, Civil and Environmental Engineering, Urbana, United States, (2)USDA Forest Service, Rocky Mountain Research Station, Missoula, United States, (3)University of Illinois at Urbana Champaign, Urbana, United States, (4)Colorado State University, Fish, Wildlife, and Conservation Biology, Fort Collins, United States, (5)The Nature Conservancy, Missoula, United States, (6)The Nature Conservancy, Minneapolis, United States, (7)US Forest Service, Missoula, United States, (8)USDA Forest Service, Saint Paul, United States

Understanding How Interannual Shifts in Emissions Drive Regional PM_2.5 Exceedances in the United States: Insights from a Chemical Transport Model (1970098)

Mashiat Hossain and Hannah Marie Horowitz, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States

Evaluating simulated PM_2.5 sensitivity to uncertainties in emissions inventories and secondary organic aerosol chemistry using GEOS-Chem (1971377)

Tessa Clarizio, University of Illinois at Urbana-Champaign, Civil & Environmental Engineering, Urbana, United States and Hannah Marie Horowitz, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States

Four-decade (1980–2022) Surface Ozone Concentrations across the Contiguous United States: Fine-Resolution Estimates and Urban-Rural Exposure Patterns (1975588)

Lingzhi Chu¹, Riyang Liu², Nicole C Deziel³ and Kai Chen², (1)Yale University, Yale School of Public Health, Yale Center on Climate Change and Health, New Haven, United States, (2)Yale University, Yale School of Public Health, Department of Environmental Health Sciences, New Haven, CT, United States, (3)Yale University, School of Public Health, New Haven, CT, United States

Quantifying model performance of Volatile Organic Carbon predictions from a regulatory air quality model in Houston, Texas (1976558)

Alejandro Valencia¹, Evan Couzo², Kenneth Craig¹, Loredana Suciu³, Bradley Flowers³, Claudio Sanchez Guerra⁴, Jaime Ross Green⁴ and William Vizuete⁵, (1)Sonoma Technology, Inc., Petaluma, CA, United States, (2)Grinnell College, Chemistry, Grinnell, United States, (3)AECOM, Dallas, United States, (4)University of North Carolina at Chapel Hill, Chapel Hill, United States, (5)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

A Green's Function Approach to Black Carbon-- Ensembles of Policy Analysis in Southeast Asia (1979823)

Lyssa Freese, University of California Irvine, Earth System Science, Irvine, CA, United States, Cecilia Springer, Boston University Global Development Policy Center, Global China Initiative, Boston, United States, Sebastian David Eastham, Massachusetts Institute of Technology, Aeronautics and Astronautics, Cambridge, United States; Imperial College London, Department of Aeronautics, London, United Kingdom and Noelle E Selin, Massachusetts Institute of Technology, Institute for Data, Systems, and Society; and Department of Earth, Atmospheric, and Planetary Sciences, Cambridge, MA, United States

Mobility-Based Air Pollution Exposure Assessment in the San Francisco Bay Area Using Coupled CMAQ-BEAM Modeling (1980972)

Ling Jin¹, Cristian Poliziani², Yuebin Fan², Jie Zhang¹, Haitam Laarabi², Soroush Esmaeili Neyestani³, Zachary Needell², Jiachen Zhang⁴ and Anna Spurlock², (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)University of California Riverside, Department of Environmental Sciences, Riverside, CA, United States, (4)University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, United States

Enhancing Air Quality Forecasts with Open-Source AP4 Model Updates (1984325)

Rebecca Rosen¹, Tyler W Davis¹, Nicholas Muller², Michael Whiston¹, Matthew Jamieson¹ and Aimee Curtright¹, (1)National Energy Technology Laboratory Pittsburgh, Pittsburgh, United States, (2)Carnegie Mellon University, Pittsburgh, United States

InMAP-Based Intercomparison of Simulated PM_2.5 and NO_x Concentrations over the Greater Chicago Region Using Four Different On-Road Emission Estimates (1985024)

Martha Santiago¹, Victoria Lang¹ and Daniel E Horton², (1)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, United States, (2)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, IL, United States

A Hybrid CMAQ-Graph Neural Network Model for High Resolution PM_2.5 Field Generation over the Korean Peninsula (1992752)

Daeryun Choi, Jeong-Beom Lee, Seung-Hee Han, Ju-Yong Lee, Jin-Goo Kang and Hui-Young Yun, Anyang University, Anyang, South Korea

Exploring solutions to heavy-duty vehicle air pollution using the SMOKE-MOVES-WRF-CMAQ modeling framework at high resolution (Invited) (2000704)

Daniel E Horton¹, Victoria Lang² and Debatosh Partha², (1)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, IL, United States, (2)Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, United States

Emissions and Air Quality Modeling for the Community Health and Air Quality Implications of Refinery Retrofits and Retirements (CHAIRS) Project (2001673)

Christos I Efstathiou, PSE Healthy Energy, Ithaca, NY, United States and Nick Heath, Chowdhury G. Moniruzzaman, Sofia Bisogno, Marinelle Villanueva, Qi Meng, Jenni A Shearston, Lara J. Cushing, Rachel Morello-Frosch, Kelsey R. Bilsback

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GH012 Computational Methods and Tools for Air Quality Exposure Assessments and Solutions

Session Description:

Co-Sponsor(s):

Index Terms:

GH012
Computational Methods and Tools for Air Quality Exposure Assessments and Solutions