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Factors Influencing $PM_{2.5}$ Concentrations in the Beijing–Tianjin–Hebei Urban Agglomeration Using a Geographical and Temporal Weighted Regression Model
| Content Provider | MDPI |
|---|---|
| Author | Li, Qiuying Li, Xiaochun Li, Hongtao |
| Copyright Year | 2022 |
| Description | Air pollution is the environmental issue of greatest concern in China, especially the $PM_{2.5}$ pollution in the Beijing–Tianjin–Hebei urban agglomeration (BTHUA). Based on sustainable development, it is of interest to study the spatiotemporal distribution of $PM_{2.5}$ and its influencing mechanisms. This study reveals the temporal evolution and spatial clustering characteristic of $PM_{2.5}$ pollution from 2015 to 2019, and quantifies the drivers of its natural and socioeconomic factors on it by using a geographical temporal weighted regression model. Results show that $PM_{2.5}$ concentrations reached their highest level in 2015 before decreasing in the following years. The monthly averages all present a U-shaped change trend. Relative to the traditional high concentrations in the northern part of the BTHUA domain in 2015, the gap in pollution between the north and south has reduced since 2018. The obvious spatial heterogeneity was demonstrated in both the strength and direction of the variables. This study may help identify reasons for high $PM_{2.5}$ concentrations and suggest appropriate targeted control and prevention measures. |
| Starting Page | 407 |
| e-ISSN | 20734433 |
| DOI | 10.3390/atmos13030407 |
| Journal | Atmosphere |
| Issue Number | 3 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-03-02 |
| Access Restriction | Open |
| Subject Keyword | Atmosphere Environmental Engineering Pm2.5 Pollution U-shaped Change Trend Influencing Mechanism Bthua Gtwr |
| Content Type | Text |
| Resource Type | Article |
