globalchange  > 气候减缓与适应
DOI: 10.1029/2018JD028573
Scopus记录号: 2-s2.0-85052196472
论文题名:
Satellite-Based Daily PM2.5 Estimates During Fire Seasons in Colorado
作者: Geng G.; Murray N.L.; Tong D.; Fu J.S.; Hu X.; Lee P.; Meng X.; Chang H.H.; Liu Y.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:15
起始页码: 8159
结束页码: 8171
语种: 英语
英文摘要: 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. ©2018. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113277
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States; NOAA Air Resources Laboratory, College Park, MD, United States; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, United States; Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, United States; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States; Climate Change Science Institute and Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States

Recommended Citation:
Geng G.,Murray N.L.,Tong D.,et al. Satellite-Based Daily PM2.5 Estimates During Fire Seasons in Colorado[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(15)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Geng G.]'s Articles
[Murray N.L.]'s Articles
[Tong D.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Geng G.]'s Articles
[Murray N.L.]'s Articles
[Tong D.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Geng G.]‘s Articles
[Murray N.L.]‘s Articles
[Tong D.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.