Spatiotemporal Variations of PM₂.₅ Concentration and Its Heterogeneous Relationship with Natural and Humanity Factors in Handan of China
- Conference Paper
The problem of PM₂.₅ air pollution is increasingly severe in China due to rapid urbanization, especially in developing villages. However, the vast majority of existing research on PM₂.₅ is limited to the provincial or municipal scales and fails to consider regional heterogeneity. This study employs a spatial panel regression model to investigate the spatial spillover effects of township level PM₂.₅. Using Handan, China as a case study, the study examines the effects of various human and natural factors on PM₂.₅ for each sub-unit to discover spatiotemporal interactions. The findings indicate that the PM₂.₅ concentration is significantly influenced by mixed factors and exhibits positive spillover characteristics. In addition, waterfront landscape belts and large-scale ecological parks in central areas may help reduce PM₂.₅ concentration. Show more
Book title2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
Pages / Article No.
Subjecturbanization; PM2.5; spatiotemporal patterns; spatiotemporal heterogeneous; spatial panel data model
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