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Risk Assessment of Non-Point Source Pollution Based on the Minimum Cumulative Resistance Model: A Case Study of Shenyang, China

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  • Yongxin Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China
    CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Jianmin Qiao

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China)

  • Yuanman Hu

    (CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    E’erguna Wetland Ecosystem Research Station, Hulunbuir 022250, China)

  • Qian Zhang

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China
    CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Xiulin Han

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China
    CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Chunlin Li

    (CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    E’erguna Wetland Ecosystem Research Station, Hulunbuir 022250, China)

Abstract

Urban non-point source (NPS) pollution is an important risk factor that leads to the deterioration of urban water quality, affects human health, and destroys the ecological balance of the water environment. Reasonable risk prevention and control of urban NPS pollution are conducive to reducing the cost of pollution management. Therefore, based on the theory of “source–sink” in landscape ecology, combined with the minimum cumulative resistance (MCR) model, this study considered the influence of geographic-environment factors in Shenyang’s built-up area on pollutants in the process of entering the water body under the action of surface runoff, and evaluated its risk. The results indicated that the highest pollution loads are generated by road surfaces. High-density residential zones and industrial zones are the main sources of urban NPS pollution. Impervious surface ratios and patch density were the dominant environmental factors affecting pollutant transport, with contributions of 56% and 40%, respectively. The minimum cumulative resistance to urban NPS pollution transport is significantly and positively correlated with the distance from water bodies and roads. Higher risk areas are mainly concentrated in the center of built-up areas and roads near the Hun River. Green spaces, business zones, public service zones, development zones, and educational zones demonstrate the highest average risk index values, exceeding 29. In contrast, preservation zones showed the lowest risk index (7.3). Compared with the traditional risk index method, the method proposed in this study could accurately estimate the risk of urban NPS pollution and provide a new reference for risk assessments of urban NPS pollution.

Suggested Citation

  • Yongxin Wang & Jianmin Qiao & Yuanman Hu & Qian Zhang & Xiulin Han & Chunlin Li, 2025. "Risk Assessment of Non-Point Source Pollution Based on the Minimum Cumulative Resistance Model: A Case Study of Shenyang, China," Land, MDPI, vol. 14(1), pages 1-19, January.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:88-:d:1560394
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    References listed on IDEAS

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    1. J.B. Ellis, 2013. "Sustainable surface water management and green infrastructure in UK urban catchment planning," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(1), pages 24-41, January.
    2. Mohsen Tahmasebi Nasab & Kendall Grimm & Mohammad Hadi Bazrkar & Lan Zeng & Afshin Shabani & Xiaodong Zhang & Xuefeng Chu, 2018. "SWAT Modeling of Non-Point Source Pollution in Depression-Dominated Basins under Varying Hydroclimatic Conditions," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
    3. Villamizar, Martha L. & Brown, Colin D., 2016. "Modelling triazines in the valley of the River Cauca, Colombia, using the annualized agricultural non-point source pollution model," Agricultural Water Management, Elsevier, vol. 177(C), pages 24-36.
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