当前位置：
X-MOL 学术
›
Atmos. Environ.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017
Atmospheric Environment ( IF 5 ) Pub Date : 2020-02-01 , DOI: 10.1016/j.atmosenv.2019.117215 Yanling Xu , Wenbo Xue , Yu Lei , Qing Huang , Yang Zhao , Shuiyuan Cheng , Zhenhai Ren , Jinnan Wang
Atmospheric Environment ( IF 5 ) Pub Date : 2020-02-01 , DOI: 10.1016/j.atmosenv.2019.117215 Yanling Xu , Wenbo Xue , Yu Lei , Qing Huang , Yang Zhao , Shuiyuan Cheng , Zhenhai Ren , Jinnan Wang
Abstract Fine particulate matter (PM2.5) concentration that exceeds standards is causing poor air quality in most Chinese cities. Meteorological conditions are an important factor affecting PM2.5 concentration, but few quantitative studies have been conducted on the effects of long-term and large-scale changes in meteorological factors on PM2.5 pollution. In this study, a Weather Research and Forecasting/Community Multiscale Air Quality (WRF/CMAQ) modeling system was applied to study the spatial and temporal distributions of the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017. During the study period, Me-PM2.5 decreased in general (P = 0.0018) in nationwide, and showed significant spatiotemporal variations. There was an overall increasing trend for Beijing, Fujian, Shaanxi, Gansu, and Qinghai provinces (P
更新日期：2020-02-01
京公网安备 11010802027423号