Spatio-Temporal Heterogeneity of the Relationships Between PM_2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020.

ABSTRACT: 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

SUBMITTER: Yang L 

PROVIDER: S-EPMC9035510 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature