Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020

作者：Lu Yang, Song Hong, Chao He, Jiayi Huang, Zhixiang Ye, Bofeng Cai, Shuxia Yu, Yanwen Wang, Zhen Wang · 发表于：Frontiers in Public Health · 年份：2022 · DOI：10.3389/fpubh.2022.810098 · 被引用次数：12 · 研究领域：Air Quality and Health Impacts、COVID-19 impact on air quality、Climate Change and Health Impacts

Fine particulate matter (PM 2.5 ) 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 PM 2.5 distributions in Chinese cities, thus helping form better policies for future PM 2.5 mitigation. Based on panel data of 332 cities, we analyzed the function of natural and anthropogenic factors to PM 2.5 pollution by applying the geographically and temporally weighted regression (GTWR) model. We found that the PM 2.5 concentration of 84.3% of cities decreased after lockdown. Spatially, in the winter of 2020, cities with high PM 2.5 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 PM 2.5 concentrations. Furthermore, the intensity of trip activities (ITAs) had a significant positive effect on PM 2.5 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 PM 2.5 concentration; inversely, the number of daily pollutant operating vents of key polluting enterprises in the power sector (V...