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Assessment of non-point source pollution using a spatial multicriteria analysis approach

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  • Zhang, H.
  • Huang, G.H.

Abstract

Eutrophication caused by the enrichment of nutrients from diffusing sources is degrading surface water quality throughout the world. Assessing the potential contributions of different land areas in diffuse nutrient export has become an important task in non-point source (NPS) pollution control. Existing methods were often limited by the availability of local data and the complexity of model formulation. This study developed a spatial multicriteria method to evaluate the nitrogen loss potential at the basin level. Four criteria were formulated to characterize the source capacity of nitrogen export, the flow path to water body, the efficiency of runoff generation and the climatic driving force. The proposed method is a low-effort approach since the required data is either already available in a global context or easily produced with limited inputs. Being implemented in GIS environment, this method generates maps that can be easily interpreted to provide decision support. The method was applied to the Huai River Basin, China. The results were validated based on the correlation between the nitrogen loss potential of sub-basin and the water quality class of river. The maps of nitrogen loss potential were helpful for examining the regional pattern of diffuse nitrogen loss, and could facilitate the decisions of NPS pollution management at the provincial or basin level.

Suggested Citation

  • Zhang, H. & Huang, G.H., 2011. "Assessment of non-point source pollution using a spatial multicriteria analysis approach," Ecological Modelling, Elsevier, vol. 222(2), pages 313-321.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:2:p:313-321
    DOI: 10.1016/j.ecolmodel.2009.12.011
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    References listed on IDEAS

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    Cited by:

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    2. Jiang, Fei & Drohan, Patrick J. & Cibin, Raj & Preisendanz, Heather E. & White, Charles M. & Veith, Tamie L., 2021. "Reallocating crop rotation patterns improves water quality and maintains crop yield," Agricultural Systems, Elsevier, vol. 187(C).
    3. Ning Huang & Tao Lin & Junjie Guan & Guoqin Zhang & Xiaoying Qin & Jiangfu Liao & Qiming Liu & Yunfeng Huang, 2021. "Identification and Regulation of Critical Source Areas of Non-Point Source Pollution in Medium and Small Watersheds Based on Source-Sink Theory," Land, MDPI, vol. 10(7), pages 1-23, June.
    4. Hao Cheng & Chen Lin & Liangjie Wang & Junfeng Xiong & Lingyun Peng & Chenxi Zhu, 2020. "The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China," IJERPH, MDPI, vol. 17(5), pages 1-19, March.
    5. Cabrini, Silvina M. & Calcaterra, Carlos P., 2016. "Modeling economic-environmental decision making for agricultural land use in Argentinean Pampas," Agricultural Systems, Elsevier, vol. 143(C), pages 183-194.
    6. Yang, Shengtian & Dong, Guotao & Zheng, Donghai & Xiao, Honglin & Gao, Yunfei & Lang, Yang, 2011. "Coupling Xinanjiang model and SWAT to simulate agricultural non-point source pollution in Songtao watershed of Hainan, China," Ecological Modelling, Elsevier, vol. 222(20), pages 3701-3717.
    7. Ni, Jingneng & Xu, Jiuping & Zhang, Mengxiang, 2018. "Constructed wetland modelling for watershed ecosystem protection under a certain economic load: A case study at the Chaohu Lake watershed, China," Ecological Modelling, Elsevier, vol. 368(C), pages 180-190.

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