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Characteristics of Spatiotemporal Differentiation and Spillover Effects of Land Use Coupled with PM 2.5 Concentration from the Perspective of Ecological Synergy—A Case Study of the Huaihe River Ecological Economic Belt

Author

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  • Dong Dong

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230091, China)

  • Runyu Huang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Huanyu Sun

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Nan Li

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Xiao Yang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Kangkang Gu

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230091, China)

Abstract

Under the rapid urbanization process, PM 2.5 pollution has become an increasingly critical issue. Changes in land-use types will inevitably affect PM 2.5 concentration. Meanwhile, the problem of imbalance and inadequacy of regional development remains prominent. This study took the Huaihe River Ecological Economic Belt as the research object, integrating the spatial econometric model with the Geographically and Temporally Weighted Regression (GTWR) and Multiscale Geographically Weighted Regression (MGWR) models, to investigate the spatiotemporal heterogeneity and spillover effect of the association between PM 2.5 concentration and land use from 1998 to 2021. The main findings are as follows: (1) PM 2.5 concentration in the study area from 1998 to 2021 showed an upward and then a downward trend, taking 2013 as a turning point, with respective magnitudes of 50.4% and 42.1%; (2) land use exerts a significant spillover effect on PM 2.5 pollution. Except for grassland and cropland, the direct effect of each land type on PM 2.5 pollution exceeds its indirect effect; (3) the influence of land use on PM 2.5 pollution exhibits significant spatiotemporal variations. The impact coefficient of forests remains relatively consistent across the entire region, whereas that of cropland, water bodies, and impervious surfaces varies markedly across different regions, particularly in the northeastern and southern cities of the study area. The results of this study may give new ideas for collective governance and joint environmental remediation in different cities and probably provide some basis for the formulation of air pollution control policies and urban land planning.

Suggested Citation

  • Dong Dong & Runyu Huang & Huanyu Sun & Nan Li & Xiao Yang & Kangkang Gu, 2025. "Characteristics of Spatiotemporal Differentiation and Spillover Effects of Land Use Coupled with PM 2.5 Concentration from the Perspective of Ecological Synergy—A Case Study of the Huaihe River Ecolog," Land, MDPI, vol. 14(3), pages 1-26, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:568-:d:1608062
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    References listed on IDEAS

    as
    1. Ziyun Wang & Huaijun Wang & Zhenjie Liu & Ru Feng & Yingping Pan, 2023. "Evolution of Ecosystem Service Values and the Response to Landscape Pattern Change in the Huaihe River Eco-Economic Belt," Land, MDPI, vol. 12(7), pages 1-17, July.
    2. Wei-Ling Hsu & Xijuan Shen & Haiying Xu & Chunmei Zhang & Hsin-Lung Liu & Yan-Chyuan Shiau, 2021. "Integrated Evaluations of Resource and Environment Carrying Capacity of the Huaihe River Ecological and Economic Belt in China," Land, MDPI, vol. 10(11), pages 1-21, October.
    3. Guokui Wang & Junbo Gao & Yangyang Li, 2024. "Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    4. Sungsoo Yoon & Youngdae Heo & Chan-Ryul Park & Wanmo Kang, 2022. "Effects of Landscape Patterns on the Concentration and Recovery Time of PM 2.5 in South Korea," Land, MDPI, vol. 11(12), pages 1-13, December.
    5. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    6. Lin Jia & Xiaoyi Zhou & Qingjie Wang, 2023. "Effects of Agricultural Machinery Operations on PM 2.5 , PM 10 and TSP in Farmland under Different Tillage Patterns," Agriculture, MDPI, vol. 13(5), pages 1-14, April.
    7. Bin Zou & Shan Xu & Troy Sternberg & Xin Fang, 2016. "Effect of Land Use and Cover Change on Air Quality in Urban Sprawl," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
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