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

Year: 2018
Type: article
Abstract: The western United States has experienced increasing wildfire activities, which have negative effects on human health. Epidemiological studies on fine particulate matter (PM2.5) from wildfires are limited by the lack of accurate high‐resolution PM2.5 exposure data over fire days. Satellite‐based aerosol optical depth (AOD) data can provide additional information in ground PM2.5 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 PM2.5 concentrations in the western United States. In this study, 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 PM2.5 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 PM2.5 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 PM2.5.
DOI: 10.1029/2018jd028573
Authors: Guannan Geng, Nancy L. Murray, Daniel Tong, Joshua S. Fu, Xuefei Hu, Pius Lee, Xia Meng, Howard H. Chang, Yang Liu
Institutions: Emory University, George Mason University, University of Maryland, College Park, NOAA Air Resources Laboratory, Oak Ridge National Laboratory, University of Tennessee at Knoxville
Language: English
Open Access status: bronze
Funders: National Science Foundation, National Aeronautics and Space Administration, National Institutes of Health, National Oceanic and Atmospheric Administration, National Institute of Environmental Health Sciences, National Center for Advancing Translational Sciences
Awards: THE WORLD HEALTH ORGANIZATION ESTIMATED THAT EXPOSURES TO AIR POLLUTION IN 2012 CAUSED 7 MILLION PREMATURE DEATHS WORLDWIDE, MAKING IT THE SINGLE LAR, G4017994712, Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity, G5146969357, NUMEROUS EPIDEMIOLOGICAL STUDIES LINKS AMBIENT AIR POLLUTION TO EXCESS MORBIDITY AND MORTALITY. HISTORICALLY THESE STUDIES RELIED ON GROUND MONITORIN, Atlanta Clinical and Translational Science Institute (ACTSI) Renewal
OpenAlex ID: W2884805319
FWCI: 3.099
Cites: 52
Cited by: 48
Related to: 10