Satellite-Based Daily PM2.5 Estimates During Fire Seasons in Colorado

Geng, Guannan; Murray, Nancy L.; Tong, Daniel; Fu, Joshua S.; Hu, Xuefei; Lee, Pius; Meng, Xia; Chang, Howard H.; Liu, Yang

doi:10.1029/2018jd028573

Satellite-Based Daily PM_2.5 Estimates During Fire Seasons in Colorado

Journal Article · Fri Jul 13 00:00:00 EDT 2018 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1029/2018jd028573· OSTI ID:1565672

^[1]; Murray, Nancy L. ^[1]; ^[2]; ^[3]; Hu, Xuefei ^[1]; ^[4]; Meng, Xia ^[1]; Chang, Howard H. ^[1]; ^[1]

Emory Univ., Atlanta, GA (United States)
NOAA Air Resources Laboratory, College Park, MD (United States); George Mason Univ., Fairfax, VA (United States); Univ. of Maryland, College Park, MD (United States)
Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
NOAA Air Resources Laboratory, College Park, MD (United States)

The western United States has experienced increasing wildfire activities, which have negative effects on human health. Epidemiological studies on fine particulate matter (PM_2.5) from wildfires are limited by the lack of accurate high-resolution PM_2.5 exposure data over fire days. Satellite-based aerosol optical depth (AOD) data can provide additional information in ground PM_2.5 concentrations and has been widely used in previous studies. However, the low background concentration, complex terrain, and large wildfire sources add to the challenge of estimating PM_2.5concentrations in the western United States. Here, we applied a Bayesian ensemble model that combined information from the 1 km resolution AOD products derived from the Multi-angle Implementation of Atmospheric Correction (MAIAC) algorithm, Community Multiscale Air Quality (CMAQ) model simulations, and ground measurements to predict daily PM_2.5 concentrations over fire seasons (April to September) in Colorado for 2011–2014. Our model had a 10-fold cross-validated R² of 0.66 and root-mean-squared error of 2.00 μg/m³, outperformed the multistage model, especially on the fire days. Elevated PM_2.5 concentrations over large fire events were successfully captured. The modeling technique demonstrated in this study could support future short-term and long-term epidemiological studies of wildfire PM_2.5.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Organization:: National Science Foundation (NSF); National Aeronautics and Space Administration (NASA); National Center for Advancing Translational Sciences (NCATS); National Institute of Environmental Health Sciences (NIEHS); National Institutes of Health (NIH); National Oceanic and Atmospheric Administration (NOAA); USDOE Office of Science (SC); USEPA

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1565672

Journal Information:: Journal of Geophysical Research: Atmospheres, Journal Name: Journal of Geophysical Research: Atmospheres Journal Issue: 15 Vol. 123; ISSN 2169-897X

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

References (57)

Improving satellite-driven PM _2.5 models with Moderate Resolution Imaging Spectroradiometer fire counts in the southeastern U.S.: Improving PM2.5 models with fire counts Hu, Xuefei; Waller, Lance A.; Lyapustin, Alexei Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 19 https://doi.org/10.1002/2014JD021920	journal	October 2014
Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO _x emissions : OZONE IMPACT OF RECESSION Tong, Daniel; Pan, Li; Chen, Weiwei Geophysical Research Letters, Vol. 43, Issue 17 https://doi.org/10.1002/2016GL069885	journal	September 2016
US National Air Quality Forecast Capability: Expanding Coverage to Include Particulate Matter Stajner, Ivanka; Davidson, Paula; Byun, Daewon Air Pollution Modeling and its Application XXI https://doi.org/10.1007/978-94-007-1359-8_64	book	January 2011
Imprint of the Atlantic multi-decadal oscillation and Pacific decadal oscillation on southwestern US climate: past, present, and future Chylek, Petr; Dubey, Manvendra K.; Lesins, Glen Climate Dynamics, Vol. 43, Issue 1-2 https://doi.org/10.1007/s00382-013-1933-3	journal	September 2013
High resilience of the mycorrhizal community to prescribed seasonal burnings in eastern Mediterranean woodlands Livne-Luzon, Stav; Shemesh, Hagai; Osem, Yagil Mycorrhiza, Vol. 31, Issue 2 https://doi.org/10.1007/s00572-020-01010-5	journal	January 2021
A Spatio-Temporal Downscaler for Output From Numerical Models Berrocal, Veronica J.; Gelfand, Alan E.; Holland, David M. Journal of Agricultural, Biological, and Environmental Statistics, Vol. 15, Issue 2 https://doi.org/10.1007/s13253-009-0004-z	journal	January 2010
Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality Engel-Cox, Jill A.; Holloman, Christopher H.; Coutant, Basil W. Atmospheric Environment, Vol. 38, Issue 16 https://doi.org/10.1016/j.atmosenv.2004.01.039	journal	May 2004
Examination of the Community Multiscale Air Quality (CMAQ) model performance over the North American and European domains Appel, K. Wyat; Chemel, Charles; Roselle, Shawn J. Atmospheric Environment, Vol. 53 https://doi.org/10.1016/j.atmosenv.2011.11.016	journal	June 2012
Assessment of NOx and O3 forecasting performances in the U.S. National Air Quality Forecasting Capability before and after the 2012 major emissions updates Pan, Li; Tong, Daniel; Lee, Pius Atmospheric Environment, Vol. 95 https://doi.org/10.1016/j.atmosenv.2014.06.020	journal	October 2014
A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data Kloog, Itai; Chudnovsky, Alexandra A.; Just, Allan C. Atmospheric Environment, Vol. 95 https://doi.org/10.1016/j.atmosenv.2014.07.014	journal	October 2014
Fine organic particle, formaldehyde, acetaldehyde concentrations under and after the influence of fire activity in the atmosphere of Riverside, California Na, Kwangsam; Cocker, David R. Environmental Research, Vol. 108, Issue 1 https://doi.org/10.1016/j.envres.2008.04.004	journal	September 2008
A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model James, Eric P.; Benjamin, Stanley G.; Marquis, Melinda Renewable Energy, Vol. 102 https://doi.org/10.1016/j.renene.2016.10.059	journal	March 2017
Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS Liu, Yang; Franklin, Meredith; Kahn, Ralph Remote Sensing of Environment, Vol. 107, Issue 1-2 https://doi.org/10.1016/j.rse.2006.05.022	journal	March 2007
Estimating ground-level PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model Hu, Xuefei; Waller, Lance A.; Lyapustin, Alexei Remote Sensing of Environment, Vol. 140 https://doi.org/10.1016/j.rse.2013.08.032	journal	January 2014
Estimating long-term PM2.5 concentrations in China using satellite-based aerosol optical depth and a chemical transport model Geng, Guannan; Zhang, Qiang; Martin, Randall V. Remote Sensing of Environment, Vol. 166 https://doi.org/10.1016/j.rse.2015.05.016	journal	September 2015
Emission of trace gases and organic components in smoke particles from a wildfire in a mixed-evergreen forest in Portugal Alves, Célia A.; Vicente, Ana; Monteiro, Cristina Science of The Total Environment, Vol. 409, Issue 8 https://doi.org/10.1016/j.scitotenv.2010.12.025	journal	March 2011
Wildland fire smoke and human health Cascio, Wayne E. Science of The Total Environment, Vol. 624 https://doi.org/10.1016/j.scitotenv.2017.12.086	journal	May 2018
Fine particulate matter from urban ambient and wildfire sources from California’s San Joaquin Valley initiate differential inflammatory, oxidative stress, and xenobiotic responses in human bronchial epithelial cells Nakayama Wong, L. S.; Aung, H. H.; Lamé, M. W. Toxicology in Vitro, Vol. 25, Issue 8 https://doi.org/10.1016/j.tiv.2011.06.001	journal	December 2011
Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM _2.5 Geographical Distribution in Mexico City Just, Allan C.; Wright, Robert O.; Schwartz, Joel Environmental Science & Technology, Vol. 49, Issue 14 https://doi.org/10.1021/acs.est.5b00859	journal	June 2015
Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution Friberg, Mariel D.; Zhai, Xinxin; Holmes, Heather A. Environmental Science & Technology, Vol. 50, Issue 7 https://doi.org/10.1021/acs.est.5b05134	journal	March 2016
Assessing PM _2.5 Exposures with High Spatiotemporal Resolution across the Continental United States Di, Qian; Kloog, Itai; Koutrakis, Petros Environmental Science & Technology, Vol. 50, Issue 9 https://doi.org/10.1021/acs.est.5b06121	journal	April 2016
Estimating PM _2.5 Concentrations in the Conterminous United States Using the Random Forest Approach Hu, Xuefei; Belle, Jessica H.; Meng, Xia Environmental Science & Technology, Vol. 51, Issue 12 https://doi.org/10.1021/acs.est.7b01210	journal	June 2017
Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM _2.5 Exposures In The Mid-Atlantic States Kloog, Itai; Nordio, Francesco; Coull, Brent A. Environmental Science & Technology, Vol. 46, Issue 21 https://doi.org/10.1021/es302673e	journal	October 2012
Interannual Variations in PM2.5 due to Wildfires in the Western United States Jaffe, Dan; Hafner, William; Chand, Duli Environmental Science & Technology, Vol. 42, Issue 8 https://doi.org/10.1021/es702755v	journal	April 2008
Assessment of Biomass Burning Emissions and Their Impacts on Urban and Regional PM _2.5 : A Georgia Case Study Tian, Di; Hu, Yongtao; Wang, Yuhang Environmental Science & Technology, Vol. 43, Issue 2 https://doi.org/10.1021/es801827s	journal	January 2009
Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation Bey, Isabelle; Jacob, Daniel J.; Yantosca, Robert M. Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D19 https://doi.org/10.1029/2001JD000807	journal	October 2001
Models‐3 Community Multiscale Air Quality (CMAQ) model aerosol component 1. Model description Binkowski, Francis S.; Roselle, Shawn J. Journal of Geophysical Research: Atmospheres, Vol. 108, Issue D6 https://doi.org/10.1029/2001JD001409	journal	March 2003
Intercomparison between satellite-derived aerosol optical thickness and PM _2.5 mass: Implications for air quality studies Wang, Jun Geophysical Research Letters, Vol. 30, Issue 21 https://doi.org/10.1029/2003GL018174	journal	January 2003
Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables Lyapustin, Alexei; Martonchik, John; Wang, Yujie Journal of Geophysical Research, Vol. 116, Issue D3 https://doi.org/10.1029/2010JD014985	journal	January 2011
Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling Chang, Howard H.; Hu, Xuefei; Liu, Yang Journal of Exposure Science & Environmental Epidemiology, Vol. 24, Issue 4 https://doi.org/10.1038/jes.2013.90	journal	December 2013
Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003–2011 Lee, Mihye; Kloog, Itai; Chudnovsky, Alexandra Journal of Exposure Science & Environmental Epidemiology, Vol. 26, Issue 4 https://doi.org/10.1038/jes.2015.41	journal	June 2015
Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation Konapala, Goutam; Mishra, Ashok K.; Wada, Yoshihide Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-16757-w	journal	June 2020
Long-term perspective on wildfires in the western USA Marlon, J. R.; Bartlein, P. J.; Gavin, D. G. Proceedings of the National Academy of Sciences, Vol. 109, Issue 9 https://doi.org/10.1073/pnas.1112839109	journal	February 2012
Impact of anthropogenic climate change on wildfire across western US forests Abatzoglou, John T.; Williams, A. Park Proceedings of the National Academy of Sciences, Vol. 113, Issue 42 https://doi.org/10.1073/pnas.1607171113	journal	October 2016
Statistical data fusion of multi-sensor AOD over the Continental United States Jinnagara Puttaswamy, Sweta; Nguyen, Hai M.; Braverman, Amy Geocarto International, Vol. 29, Issue 1 https://doi.org/10.1080/10106049.2013.827750	journal	September 2013
Health Effects of Fine Particulate Air Pollution: Lines that Connect Pope, C. Arden; Dockery, Douglas W. Journal of the Air & Waste Management Association, Vol. 56, Issue 6 https://doi.org/10.1080/10473289.2006.10464485	journal	June 2006
Wildfire-specific Fine Particulate Matter and Risk of Hospital Admissions in Urban and Rural Counties Liu, Jia Coco; Wilson, Ander; Mickley, Loretta J. Epidemiology, Vol. 28, Issue 1 https://doi.org/10.1097/EDE.0000000000000556	journal	January 2017
Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) King, M. D.; Kaufman, Y. J.; Menzel, W. P. IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, Issue 1 https://doi.org/10.1109/36.124212	journal	January 1992
MODIS: advanced facility instrument for studies of the Earth as a system Salomonson, V. V.; Barnes, W. L.; Maymon, P. W. IEEE Transactions on Geoscience and Remote Sensing, Vol. 27, Issue 2 https://doi.org/10.1109/36.20292	journal	March 1989
Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System Byun, Daewon; Schere, Kenneth L. Applied Mechanics Reviews, Vol. 59, Issue 2 https://doi.org/10.1115/1.2128636	journal	January 2006
Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity Westerling, A. L. Science, Vol. 313, Issue 5789 https://doi.org/10.1126/science.1128834	journal	August 2006
Effect of measurement error on epidemiological studies of environmental and occupational exposures Armstrong, B. G. Occupational and Environmental Medicine, Vol. 55, Issue 10 https://doi.org/10.1136/oem.55.10.651	journal	October 1998
Particulate Matter Air Pollution and Cardiovascular Disease: An Update to the Scientific Statement From the American Heart Association Brook, Robert D.; Rajagopalan, Sanjay; Pope, C. Arden Circulation, Vol. 121, Issue 21 https://doi.org/10.1161/CIR.0b013e3181dbece1	journal	June 2010
Using Bayesian Model Averaging to Calibrate Forecast Ensembles Raftery, Adrian E.; Gneiting, Tilmann; Balabdaoui, Fadoua Monthly Weather Review, Vol. 133, Issue 5, p. 1155-1174 https://doi.org/10.1175/MWR2906.1	journal	May 2005
NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM _2.5 ) Lee, Pius; McQueen, Jeffery; Stajner, Ivanka Weather and Forecasting, Vol. 32, Issue 1 https://doi.org/10.1175/WAF-D-15-0163.1	journal	February 2017
Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) Modeling System to Build a National Air Quality Forecasting System Otte, Tanya L.; Pouliot, George; Pleim, Jonathan E. Weather and Forecasting, Vol. 20, Issue 3 https://doi.org/10.1175/WAF855.1	journal	June 2005
Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application van Donkelaar, Aaron; Martin, Randall V.; Brauer, Michael Environmental Health Perspectives, Vol. 118, Issue 6 https://doi.org/10.1289/ehp.0901623	journal	June 2010
Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatio-Temporal PM2.5 Exposures In The Mid-Atlantic States Kloog, Itai; Nordio, Francesco; Coull, Brent A. ISEE Conference Abstracts, Vol. 2013, Issue 1 https://doi.org/10.1289/isee.2013.p-2-04-13	journal	September 2013
Combining Satellite Imagery and Numerical Model Simulation Results to Estimate Daily Ambient Air Pollution: An Ensemble Averaging Approach Murray, Nancy; Chang, Howard; Holmes, Heather ISEE Conference Abstracts, Vol. 2018, Issue 1 https://doi.org/10.1289/isesisee.2018.O02.04.16	journal	September 2018
Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application Van Donkelaar, Aaron; Martin, Randall V.; Brauer, Michael The University of British Columbia https://doi.org/10.14288/1.0103477	text	January 2010
Lung antioxidant and cytokine responses to coarse and fine particulate matter from the great California wildfires of 2008 Wegesser, Teresa C.; Franzi, Lisa M.; Mitloehner, Frank M. Inhalation Toxicology, Vol. 22, Issue 7 https://doi.org/10.3109/08958370903571849	journal	April 2010
Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly Le, George; Breysse, Patrick; McDermott, Aidan ISPRS International Journal of Geo-Information, Vol. 3, Issue 2 https://doi.org/10.3390/ijgi3020713	journal	May 2014
Discrimination of biomass burning smoke and clouds in MAIAC algorithm Lyapustin, A.; Korkin, S.; Wang, Y. Atmospheric Chemistry and Physics, Vol. 12, Issue 20 https://doi.org/10.5194/acp-12-9679-2012	journal	January 2012
10-year spatial and temporal trends of PM _2.5 concentrations in the southeastern US estimated using high-resolution satellite data Hu, X.; Waller, L. A.; Lyapustin, A. Atmospheric Chemistry and Physics, Vol. 14, Issue 12 https://doi.org/10.5194/acp-14-6301-2014	journal	January 2014
Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power Kaiser, J. W.; Heil, A.; Andreae, M. O. Biogeosciences, Vol. 9, Issue 1 https://doi.org/10.5194/bg-9-527-2012	journal	January 2012
Long-term perspective on wildfires in the western USA Marlon, Jennifer R.; Bartlein, Patrick J.; Gavin, Daniel G. National Academy of Sciences NAS https://doi.org/10.7892/boris.53785	text	January 2012
Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation Jacob, Daniel J.; Yantosca, Robert M.; Bey, Isabelle Columbia University https://doi.org/10.7916/d84f1qb9	text	January 2001

Cited By (3)

Estimating ground-level particulate matter concentrations using satellite-based data: a review Shin, Minso; Kang, Yoojin; Park, Seohui GIScience & Remote Sensing, Vol. 57, Issue 2 https://doi.org/10.1080/15481603.2019.1703288	journal	December 2019
Estimating ground-level particulate matter concentrations using satellite-based data: a review Shin, Minso; Kang, Yoojin; Park, Seohui Taylor & Francis https://doi.org/10.6084/m9.figshare.11376222	text	January 2019
Estimating ground-level particulate matter concentrations using satellite-based data: a review Shin, Minso; Kang, Yoojin; Park, Seohui Taylor & Francis https://doi.org/10.6084/m9.figshare.11376222.v1	text	January 2019

Similar Records

Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM_2.5 concentrations at 1 km resolution in the Eastern United States

Journal Article · Mon Nov 19 19:00:00 EST 2018 · Atmospheric Environment (1994) · OSTI ID:1490424

Impact of wildfires on regional ozone and PM_2.5: Considering the light absorption of Brown carbon

Journal Article · Wed Nov 08 19:00:00 EST 2023 · Atmospheric Environment (1994) · OSTI ID:2282600

Source sector and region contributions to BC and PM_2.5 in Central Asia

Journal Article · Tue Feb 17 19:00:00 EST 2015 · Atmospheric Chemistry and Physics (Online) · OSTI ID:1201744

Related Subjects

54 ENVIRONMENTAL SCIENCES
Meteorology & Atmospheric Sciences