Details:

Alternative Title:
Environ Sci Technol
Publisher's site:
http://dx.doi.org/10.1021/acs.est.0c03761
Personal Author:
Cleland, Stephanie E. ; West, J. Jason ; Jia, Yiqin ; Reid, Stephen ; Raffuse, Sean ; ... More +
Cleland, Stephanie E. ; West, J. Jason ; Jia, Yiqin ; Reid, Stephen ; Raffuse, Sean ; O’Neill, Susan ; Serre, Marc L. Less -
Description:
Exposure to wildfire smoke causes adverse health outcomes, suggesting the importance of accurately estimating smoke concentrations. Geostatistical methods can combine observed, modeled, and satellite-derived concentrations to produce accurate estimates. Here, we estimate daily average ground-level PM| concentrations at a 1 km resolution during the October 2017 California wildfires, using the Constant Air Quality Model Performance (CAMP) and Bayesian Maximum Entropy (BME) methods to bias-correct and fuse three concentration datasets: permanent and temporary monitoring stations, a chemical transport model (CTM), and satellite-derived estimates. Four BME space/time kriging and data fusion methods were evaluated. All BME methods produce more accurate estimates than the standalone CTM and satellite products. Adding temporary station data increases the | by 36%. The data fusion of observations with the CAMP-corrected CTM and satellite-derived concentrations provides the best estimate (| = 0.713) in fire-impacted regions, emphasizing the importance of combining multiple datasets. We estimate that approximately 65,000 people were exposed to very unhealthy air (daily average PM| ≥ 150.5 μg/m|).
Subjects:
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Air Pollutants Air Pollution Bayes Theorem Entropy Environmental Monitoring Fires Humans Particulate Matter Smoke Wildfires
Source:
Environ Sci Technol. 54(21):13439-13447
Pubmed ID:
33064454
Pubmed Central ID:
PMC7894965
Document Type:
Journal Article
Funding:
P30 ES010126/ES/NIEHS NIH HHSUnited States/ ; T42 OH008673/OH/NIOSH CDC HHSUnited States/ ; T42OH008673/ACL/ACL HHSUnited States/
P30 ES010126/ES/NIEHS NIH HHSUnited States/ ; T42 OH008673/OH/NIOSH CDC HHSUnited States/ ; T42OH008673/ACL/ACL HHSUnited States/ Less -
Place as Subject:
California
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:2401404a6e6cf661b8dc4989ef8547638a95ed39086f7c45603f8e655c6086cb
Download URL:
https://stacks.cdc.gov/view/cdc/103155/cdc_103155_DS1.pdf
File Type:

Supporting Files

• 	NIHMS1657788-supplement-ClelandEtAl_2020_SupplementaryInformation.docx	docx
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