标题: Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020
作者: Yang, L (Yang, Lu); Hong, S (Hong, Song); He, C (He, Chao); Huang, JY (Huang, Jiayi); Ye, ZX (Ye, Zhixiang); Cai, BF (Cai, Bofeng); Yu, SX (Yu, Shuxia); Wang, YW (Wang, Yanwen); Wang, Z (Wang, Zhen)
来源出版物: FRONTIERS IN PUBLIC HEALTH 卷: 10 文献号: 810098 DOI: 10.3389/fpubh.2022.810098 出版年: APR 11 2022
摘要: Fine particulate matter (PM2.5) poses threat to human health in China, particularly in winter. The pandemic of coronavirus disease 2019 (COVID-19) led to a series of strict control measures in Chinese cities, resulting in a short-term significant improvement in air quality. This is a perfect case to explore driving factors affecting the PM2.5 distributions in Chinese cities, thus helping form better policies for future PM2.5 mitigation. Based on panel data of 332 cities, we analyzed the function of natural and anthropogenic factors to PM2.5 pollution by applying the geographically and temporally weighted regression (GTWR) model. We found that the PM2.5 concentration of 84.3% of cities decreased after lockdown. Spatially, in the winter of 2020, cities with high PM2.5 concentrations were mainly distributed in Northeast China, the North China Plain and the Tarim Basin. Higher temperature, wind speed and relative humidity were easier to promote haze pollution in northwest of the country, where enhanced surface pressure decreased PM2.5 concentrations. Furthermore, the intensity of trip activities (ITAs) had a significant positive effect on PM2.5 pollution in Northwest and Central China. The number of daily pollutant operating vents of key polluting enterprises in the industrial sector (VOI) in northern cities was positively correlated with the PM2.5 concentration; inversely, the number of daily pollutant operating vents of key polluting enterprises in the power sector (VOP) imposed a negative effect on the PM2.5 concentration in these regions. This work provides some implications for regional air quality improvement policies of Chinese cities in wintertime.
作者关键词: PM2.5; spatiotemporal heterogeneity; Chinese cities; COVID-19; GTWR
地址: [Yang, Lu; Hong, Song; Ye, Zhixiang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.
[He, Chao] Yangtze Univ, Coll Resources & Environm, Wuhan, Peoples R China.
[Huang, Jiayi] Univ Sydney, Business Sch, Sydney, NSW, Australia.
[Cai, Bofeng] Chinese Acad Environm Planning, Ctr Climate Change & Environm Policy, Beijing, Peoples R China.
[Yu, Shuxia; Wang, Zhen] Huazhong Agr Univ, Coll Resource & Environm, Wuhan, Peoples R China.
[Wang, Yanwen] China Univ Geosci, Econ & Management Coll, Wuhan, Peoples R China.
通讯作者地址: Hong, S (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.
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