Investigating the Spatio-temporal Heterogeneity of the Impacts of Urban Form on the Ground-level Anthropogenic PM2.5 Pollution in Chinese CitiesInvestigating the Spatio-temporal Heterogeneity of the Impacts of Urban Form on the Ground-level Anthropogenic PM2.5 Pollution in Chinese CitiesY. Cui et al.

被引:0
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作者
Yuanzheng Cui [1 ]
Dong Hua [2 ]
Mi Zhang [3 ]
Hui Zha [4 ]
Xiangbo Fan [3 ]
Lulu Chen [3 ]
Lei Jiang [5 ]
Lei Wang [6 ]
Xuejun Duan [7 ]
机构
[1] Nanjing Institute of Geography and Limnology,Key Laboratory of Watershed Geographic Sciences
[2] Chinese Academy of Sciences,College of Geography and Remote Sensing
[3] University of Chinese Academy of Sciences,School of Energy
[4] Hohai University,Department of Environmental and Occupational Health
[5] Information Center,School of Geography and Remote Sensing
[6] Ministry of Water Resources,undefined
[7] Xi’an University of Science and Technology,undefined
[8] Middle Part of Yanta Road,undefined
[9] The George Washington University,undefined
[10] Guangzhou University,undefined
关键词
Ground-level anthropogenic PM; pollution; Urban form; Human perceptual; Spatiotemporal homogeneity; Chinese cities;
D O I
10.1007/s12061-025-09641-x
中图分类号
学科分类号
摘要
In recent years, the impact of urban form evolution on atmospheric pollution has become increasingly prominent. However, previous studies have rarely examined the combined influence of urban spatial forms and human perception on air pollution, while excluding emissions from natural sources. To address this gap, our study investigates the spatiotemporal dynamics of the relationship between anthropogenic PM2.5 pollution and urban form in China from 2000 to 2019. Using the Geographically and Temporally Weighted Regression (GTWR) model, we analyze the spatial heterogeneity of the impact of urban form on PM2.5 pollution. Our findings reveal that anthropogenic PM2.5 concentrations in China exhibited an initial increase, followed by a decline after 2013. In heavily polluted regions, such as the Beijing-Tianjin-Hebei area, annual average concentrations in most areas exceeded 60 μg/m3, with southern Hebei exceeding 100 μg/m3. The northern, southwestern, and Yangtze River Economic Belt regions had relatively lower concentrations, but still ranged between 20 and 60 μg/m3. Increasing urban compactness, reducing urban sprawl, and enhancing the complexity of urban form were found to contribute to lower anthropogenic PM2.5 levels in most cities. Additionally, climate conditions characterized by high precipitation and temperature, along with urban form patterns featuring high density, cohesion, and controlled expansion, were associated with reduced anthropogenic PM2.5 concentrations. In contrast, high humidity, dense populations, a thriving secondary sector, heavy traffic flow, and large, complex urban forms were likely to exacerbate anthropogenic PM2.5 pollution. These findings provide scientific insights for coordinated strategies to control atmospheric pollution in Chinese cities.
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