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Effects of Urban Green and Blue Space on the Diffusion Range of PM 2.5 and PM 10 Based on LCZ

Author

Listed:
  • Ruiyuan Jiang

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Changkun Xie

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Zihao Man

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Rebecca Zhou

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Shengquan Che

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Urban green and blue space (GBS) significantly impacts the diffusion range of atmospheric particulate matter. By determining the diffusion distance of atmospheric particulate matter (PM 2.5 and PM 10 ) in Shanghai, combined with the GBS landscape pattern index, this study completed a stepwise multiple regression equation and correlation analysis to explore the relationship between the morphological structure and spatial configuration of GBS on the diffusion distance of atmospheric particles. The results show that the landscape shape index (LSI) and the number of patches (NP) of GBS have a significant positive correlation with the diffusion distance of atmospheric particles, while the coefficient of the percent of landscape (PLAND), as a key influencing factor, has a negative correlation. The mean Euclidean nearest neighbor distance (ENN_MN) and splitting index (SPLIT) in the spatial configuration metrics positively affect the diffusion distance. Studies have proved that complex and dispersed GBS will lead to the weakening of its purification ability, thereby increasing the pollution range of atmospheric particulate matter. The order of the influence of different GBS types on the diffusion distance of atmospheric particles is as follows: DT > BS > LP > ST > WA. Therefore, high-density GBS with simple shapes and concentrated distribution should be considered in the future construction of new cities.

Suggested Citation

  • Ruiyuan Jiang & Changkun Xie & Zihao Man & Rebecca Zhou & Shengquan Che, 2023. "Effects of Urban Green and Blue Space on the Diffusion Range of PM 2.5 and PM 10 Based on LCZ," Land, MDPI, vol. 12(5), pages 1-15, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:964-:d:1133213
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    References listed on IDEAS

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    1. Congzhe Liu & Anqi Dai & Huihui Zhang & Qianqian Sheng & Zunling Zhu, 2023. "Study on the Correlation Mechanism between the Living Vegetation Volume of Urban Road Plantings and PM 2.5 Concentrations," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    2. 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.
    3. Haiou Yang & Wenbo Chen & Zhaofeng Liang, 2017. "Impact of Land Use on PM 2.5 Pollution in a Representative City of Middle China," IJERPH, MDPI, vol. 14(5), pages 1-14, April.
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    Cited by:

    1. Yinuo Xu & Wei Hou & Chunxiao Zhang, 2023. "Spatial Association Rules and Thermal Environment Differentiation Evaluation of Local Climate Zone and Urban Functional Zone," Land, MDPI, vol. 12(9), pages 1-18, August.

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