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Scale Effects and Regional Disparities of Land Use in Influencing PM 2.5 Concentrations: A Case Study in the Zhengzhou Metropolitan Area, China

Author

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  • Dongyang Yang

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475004, China)

  • Fei Meng

    (School of Foreign Languages and Tourism, Henan Institute of Economics and Trade, Zhengzhou 450003, China)

  • Yong Liu

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475004, China)

  • Guanpeng Dong

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475004, China)

  • Debin Lu

    (Department of Tourism and Geography, Tongren University, Tongren 554300, China)

Abstract

Land use has been demonstrated to have an important influence on PM 2.5 concentrations; however, how the scale effects and regional disparities in land use influence PM 2.5 concentrations remains unclear. This study investigated the scale differences in spatial variations in PM 2.5 concentrations, in spatial associations between PM 2.5 concentrations and land use, and explored the effects of the spatial heterogeneity and action scale of land use on PM 2.5 concentrations. The main findings indicated greater intra-unit variation at small scales and greater inter-unit variation at large scales. PM 2.5 concentrations had a positive association with the surrounding cultivated land and artificial surface, and had a negative association with surrounding forest and grass; the positive spatial association between PM 2.5 concentrations and the surrounding artificial surface was stronger at small scales. Cultivated land and forest negatively influenced PM 2.5 concentrations generally. Artificial surfaces showed a strong positive influence on PM 2.5 concentrations in most urban areas. The action scale of cultivated land in influencing PM 2.5 concentrations was the largest (4698.05 m). The findings provide a new interpretation of the relationship between PM 2.5 concentrations and land use, and may contribute to effective policy making from the perspective of land use planning to PM 2.5 pollution control and abatement.

Suggested Citation

  • Dongyang Yang & Fei Meng & Yong Liu & Guanpeng Dong & Debin Lu, 2022. "Scale Effects and Regional Disparities of Land Use in Influencing PM 2.5 Concentrations: A Case Study in the Zhengzhou Metropolitan Area, China," Land, MDPI, vol. 11(9), pages 1-12, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1538-:d:912427
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    References listed on IDEAS

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    1. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    2. Lin, Ying & Yang, Xiuyun & Li, Yanan & Yao, Shunbo, 2020. "The effect of forest on PM2.5 concentrations: A spatial panel approach," Forest Policy and Economics, Elsevier, vol. 118(C).
    3. Chengming Li & Kuo Zhang & Zhaoxin Dai & Zhaoting Ma & Xiaoli Liu, 2020. "Investigation of the Impact of Land-Use Distribution on PM 2.5 in Weifang: Seasonal Variations," IJERPH, MDPI, vol. 17(14), pages 1-20, July.
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