Estimating ground-level PM(10) in a Chinese city by combining satellite data, meteorological information and a land use regression model.
Development of exposure assessment model is the key component for epidemiological studies concerning air pollution, but the evidence from China is limited. Therefore, a linear mixed effects (LME) model was established in this study in a Chinese metropolis by incorporating aerosol optical depth (AOD), meteorological information and the land use regression (LUR) model to predict ground PM10 levels on high spatiotemporal resolution. The cross validation (CV) R(2) and the RMSE of the LME model were 0.87 and 19.2 μg/m(3), respectively. The relative prediction error (RPE) of daily and annual mean predicted PM10 concentrations were 19.1% and 7.5%, respectively. This study was the first attempt in China to estimate both short-term and long-term variation of PM10 levels with high spatial resolution in a Chinese metropolis with the LME model. The results suggested that the LME model could provide exposure assessment for short-term and long-term epidemiological studies in China.
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education & Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Fudan University, Shanghai, China.
Xia
X
Meng
Shanghai Environmental Monitoring Center, Shanghai, China.
Qingyan
Q
Fu
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Zongwei
Z
Ma
College of Urban and Environmental Science, Tianjin Normal University, Tianjin, China.
Li
L
Chen
School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China.
Bin
B
Zou
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Fudan University, Shanghai, China.
Yan
Y
Zhang
Chinese Academy for Environmental Planning, Beijing, China.
Wenbo
W
Xue
Chinese Academy for Environmental Planning, Beijing, China.
Jinnan
J
Wang
Shanghai Environmental Monitoring Center, Shanghai, China.
Dongfang
D
Wang
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education & Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Fudan University, Shanghai, China. Electronic address: haidongkan@gmail.com.
Haidong
H
Kan
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States. Electronic address: yang.liu@emory.edu.
Yang
Y
Liu
D000336:Aerosols; D000393:Air Pollutants / Q000032:analysis*; D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D016014:Linear Models; D055904:Meteorology; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis*; D017215:Satellite Communications; D014507:Urbanization
D000336:Aerosols; D000393:Air Pollutants; D052638:Particulate Matter
Aerosol optical depth; Exposure assessment; Land use regression; Linear mixed effects model; Particulate matter