IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i2p313-321.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380009008412
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2009.12.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ouyang, Wei & Wang, Xuelei & Hao, Fanghua & Srinivasan, R., 2009. "Temporal-spatial dynamics of vegetation variation on non-point source nutrient pollution," Ecological Modelling, Elsevier, vol. 220(20), pages 2702-2713.
    2. He, Bin & Oki, Taikan & Kanae, Shinjiro & Mouri, Goro & Kodama, Ken & Komori, Daisuke & Seto, Shinta, 2009. "Integrated biogeochemical modelling of nitrogen load from anthropogenic and natural sources in Japan," Ecological Modelling, Elsevier, vol. 220(18), pages 2325-2334.
    3. Volker Meyer & Sebastian Scheuer & Dagmar Haase, 2009. "A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(1), pages 17-39, January.
    4. repec:cup:cbooks:9780521438834 is not listed on IDEAS
    5. Voinov, Alexey & Gaddis, Erica J. Brown, 2008. "Lessons for successful participatory watershed modeling: A perspective from modeling practitioners," Ecological Modelling, Elsevier, vol. 216(2), pages 197-207.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qi Zhou & Yong Pang & Xue Wang & Xiao Wang & Yong Niu & Jianjian Wang, 2017. "Determination of Key Risk Supervision Areas around River-Type Water Sources Affected by Multiple Risk Sources: A Case Study of Water Sources along the Yangtze’s Nanjing Section," Sustainability, MDPI, vol. 9(2), pages 1-23, February.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuel Sandoval-Solis & Jose Pablo Ortiz Partida & Lindsay Floyd, 2022. "Multi-Objective Water Planning in a Poor Water Data Region: Aragvi River Basin," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    2. Sebastian Scheuer & Dagmar Haase & Volker Meyer, 2011. "Exploring multicriteria flood vulnerability by integrating economic, social and ecological dimensions of flood risk and coping capacity: from a starting point view towards an end point view of vulnera," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(2), pages 731-751, August.
    3. de Jong, Stefan P.L. & Wardenaar, Tjerk & Horlings, Edwin, 2016. "Exploring the promises of transdisciplinary research: A quantitative study of two climate research programmes," Research Policy, Elsevier, vol. 45(7), pages 1397-1409.
    4. Bin Ou-Yang & Chun-Chao Chu & Ya-Bin Da & Xiao-Fei Liu & Hai-Ying Zhang, 2015. "Highway flood disaster risk evaluation and management in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 381-397, February.
    5. Yus Budiyono & Jeroen Aerts & JanJaap Brinkman & Muh Marfai & Philip Ward, 2015. "Flood risk assessment for delta mega-cities: a case study of Jakarta," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 389-413, January.
    6. Elena Bakhanova & Jaime A. Garcia & William L. Raffe & Alexey Voinov, 2023. "Gamification Framework for Participatory Modeling: A Proposal," Group Decision and Negotiation, Springer, vol. 32(5), pages 1167-1182, October.
    7. Huu Duy Nguyen & Thi Ha Thanh Nguyen & Quoc-Huy Nguyen & Tien Giang Nguyen & Dinh Kha Dang & Y. Nhu Nguyen & Thu Huong Bui & Ngoc Diep Nguyen & Quang-Thanh Bui & Petre Brecan & Alexandru-Ionut Petriso, 2023. "Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 1933-1959, September.
    8. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2016. "Flood damage assessment of an urban area in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(2), pages 1045-1055, September.
    9. Cuneyt Yavuz & Elcin Kentel & Mustafa M. Aral, 2020. "Tsunami risk assessment: economic, environmental and social dimensions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1413-1442, November.
    10. Volker Meyer & Sally Priest & Christian Kuhlicke, 2012. "Economic evaluation of structural and non-structural flood risk management measures: examples from the Mulde River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 301-324, June.
    11. Arvidsson, Björn & Johansson, Jonas & Guldåker, Nicklas, 2021. "Critical infrastructure, geographical information science and risk governance: A systematic cross-field review," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    12. Pereverza, Kateryna & Pasichnyi, Oleksii & Kordas, Olga, 2019. "Modular participatory backcasting: A unifying framework for strategic planning in the heating sector," Energy Policy, Elsevier, vol. 124(C), pages 123-134.
    13. Convertino, Matteo & Annis, Antonio & Nardi, Fernando, 2019. "Information-theoretic Portfolio Decision Model for Optimal Flood Management," Earth Arxiv k5aut, Center for Open Science.
    14. H. Moel & J. Aerts, 2011. "Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 407-425, July.
    15. Lopolito, Antonio & Prosperi, Maurizio & Sisto, Roberta & De Meo, Emilio, 2011. "A FCMs approach to promote new business formation in rural areas under uncertainty conditions," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114778, European Association of Agricultural Economists.
    16. Shang, Xiao & Wang, Xinze & Zhang, Dalei & Chen, Weidong & Chen, Xuechu & Kong, Hainan, 2012. "An improved SWAT-based computational framework for identifying critical source areas for agricultural pollution at the lake basin scale," Ecological Modelling, Elsevier, vol. 226(C), pages 1-10.
    17. David Ocio & Christian Stocker & Ángel Eraso & Arantza Martínez & José María Sanz Galdeano, 2016. "Towards a reliable and cost-efficient flood risk management: the case of the Basque Country (Spain)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 617-639, March.
    18. Congxiang Fan & Ruidong An & Jia Li & Kefeng Li & Yun Deng & Yong Li, 2019. "An Approach Based on the Protected Object for Dam-Break Flood Risk Management Exemplified at the Zipingpu Reservoir," IJERPH, MDPI, vol. 16(19), pages 1-17, October.
    19. 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.
    20. Chukwuedozie K. Ajaero, 2017. "A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 685-695, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:222:y:2011:i:2:p:313-321. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.