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Investigating potential associations between O3 exposure and lipid profiles: A longitudinal study of older adults in Beijing 期刊论文
ENVIRONMENT INTERNATIONAL, 2019, 卷号: 133, 页码: 12
Authors:  Li, Ang;  Pei, Lu;  Zhao, Meiduo;  Xu, Jing;  Mei, Yayuan;  Li, Runkui;  Xu, Qun
Favorite  |  View/Download:5/0  |  Submit date:2020/05/19
Ozone  Lipid profile  Lipid indices  Dyslipidemia  Effect modification  
The mediated role of complement C3 in PM2.5 exposure and type 2 diabetes mellitus: an elderly panel study in Beijing, China 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 33, 页码: 34479-34486
Authors:  Tong, Yuanren;  Pei, Lu;  Luo, Kai;  Zhao, Meiduo;  Xu, Jing;  Li, Ang;  Li, Runkui;  Yang, Mingan;  Xu, Qun
Favorite  |  View/Download:5/0  |  Submit date:2020/05/19
Diabetes mellitus  T2DMpopulation  PM2.5  C3  Mediation effects  
Associations of ambient fine particulate matter and its constituents with serum complement C3 in a panel study of older adults in China 期刊论文
ENVIRONMENTAL POLLUTION, 2019, 卷号: 252, 页码: 1019-1025
Authors:  Pei, Lu;  Zhao, Meiduo;  Xu, Jing;  Li, Ang;  Luo, Kai;  Li, Runkui;  Yang, Mingan;  Xu, Qun
Favorite  |  View/Download:7/0  |  Submit date:2020/03/23
PM2.5 constituents  Health effect  Complement C3  Short-term exposure  
Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics 期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 802-815
Authors:  Ma, Tianxiao;  Duan, Zheng;  Li, Runkui;  Song, Xianfeng
Favorite  |  View/Download:16/0  |  Submit date:2019/05/22
Vegetation growth  Subtropics  LAI  MODIS  Integration  Modified SWAT  
Spatial variation in the effects of air pollution on cardiovascular mortality in Beijing, China 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 3, 页码: 2501-2511
Authors:  Li, Wenjing;  Pei, Lu;  Li, Ang;  Luo, Kai;  Cao, Yang;  Li, Runkui;  Xu, Qun
Favorite  |  View/Download:17/0  |  Submit date:2019/05/23
Spatio-temporal analysis  Cardiovascular mortality  Air pollution  Generalized additive mixed model  Generalized additive model  
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
Authors:  Li, Runkui;  Ma, Tianxiao;  Xu, Qun;  Song, Xianfeng
Favorite  |  View/Download:19/0  |  Submit date:2019/05/23
Spatial pattern  Fine particulate matter  Land use regression model  MAIAC AOD  Beijing