PM2.5 Sink-Source Dichotomy in Urban Clusters: Land Cover Efficiency Gradients and Socio-Meteorological Interactions
Year: 2025
Type: article
Abstract: Urban clusters face escalating atmospheric challenges, with elevated PM2.5 concentrations representing a critical environmental constraint. This study investigates spatiotemporal evolution mechanisms of PM2.5 within China’s Taiyuan-Yuci-Xinzhou (TYX) urban cluster. Daily PM2.5 concentrations (July–September 2000–2020) characterized spatiotemporal distributions. The Urban Forest Effects (UFORE) model integrated multisource data—remote sensing, leaf area index (LAI), wind speed, and precipitation—within a Geographically and Temporally Weighted Regression (GTWR) framework, quantifying PM2.5 dry deposition across land cover types and identifying drivers. Key findings reveal the following: (1) PM2.5 concentrations followed an initial-rise-then-decline trajectory, with pollution hotspots concentrated in Taiyuan City and neighboring industrial corridors; (2) Construction lands sprawl markedly elevated PM2.5 levels, whereas green areas and agricultural lands expansion promoted deposition; water areas exhibited no significant effect; (3) Wind speeds and precipitation positively modulated PM2.5 in green areas and agricultural lands, contrasting with NDVI’s negative influence; elevation showed null correlation, while agricultural lands deposition correlated positively with PM2.5; (4) GDP displayed an inverted U-curve association with PM2.5; positive correlations emerged with AVSI, TIOV, NOP, and EC indices, but negative linkage with TOC. This clarifies land cover impacts on urban atmospheric particulates, providing empirical foundations for pollution control.
Source: Atmosphere
Authors: Jian Yao, Yaolong Zhao
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4414523808