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Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China

Author

Listed:
  • Yang Ding

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Yang Ding and Fei Dong contributed equally to this work.)

  • Fei Dong

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Yang Ding and Fei Dong contributed equally to this work.)

  • Jinyong Zhao

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Wenqi Peng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Quchang Chen

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Bing Ma

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
    China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Non-point source (NPS) pollution simulation in control units can identify critical pollution source areas and make Best Management Practices (BMPs) more effective for the responsible parties. In this study, the control unit division method is introduced, and the spatial and temporal distribution characteristics of NPS pollution in the Guishui River Basin of Northern China are analyzed using the Soil Water Assessment Tool (SWAT) model. In addition, five BMP scenarios were designed for environmental and cost-benefit analyses. The results show that the loss of total nitrogen (TN) and total phosphorus (TP) is concentrated in the rainy season, and the loss of TN and TP is mainly distributed in the middle and lower reaches of the main stream of the Guishui River. This area accounts for 22.34% of the basin area. The vegetated filter strips (VFS) scenario had the best environmental benefits with average TN and TP reduction efficiencies of 63.4% and 62.6%, respectively. The Grassed Waterway was the most cost-effective scenario measure, cost-benefit (CE) values of TN and TP were 1798.13 g/€ and 601.56 g/€. Generally, research on NPS pollution using control units can more clearly identify the critical source areas of pollution than other methods, and provides technical support for watershed management decision makers.

Suggested Citation

  • Yang Ding & Fei Dong & Jinyong Zhao & Wenqi Peng & Quchang Chen & Bing Ma, 2020. "Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:868-:d:314538
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    References listed on IDEAS

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    1. Liu, Ruimin & Zhang, Peipei & Wang, Xiujuan & Chen, Yaxin & Shen, Zhenyao, 2013. "Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed," Agricultural Water Management, Elsevier, vol. 117(C), pages 9-18.
    2. Li-Chi Chiang & Indrajeet Chaubey & Chetan Maringanti & Tao Huang, 2014. "Comparing the Selection and Placement of Best Management Practices in Improving Water Quality Using a Multiobjective Optimization and Targeting Method," IJERPH, MDPI, vol. 11(3), pages 1-23, March.
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    Cited by:

    1. Lingyan Xu & Zhuoyun Zhou & Jianguo Du, 2020. "An Evolutionary Game Model for the Multi-Agent Co-Governance of Agricultural Non-Point Source Pollution Control under Intensive Management Pattern in China," IJERPH, MDPI, vol. 17(7), pages 1-19, April.
    2. Mingtao Yan & Jianji Zhao & Jiajun Qiao & Dong Han & Qiankun Zhu & Yang Yang & Qi Liu & Zhipeng Wang, 2023. "Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization," IJERPH, MDPI, vol. 20(3), pages 1-19, February.

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