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Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields

Author

Listed:
  • Hui Wu

    (Hangzhou Dianzi University
    Smart City Research Center of Zhejiang Province)

  • A-Xing Zhu

    (Nanjing Normal University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
    University of Wisconsin-Madison)

  • Junzhi Liu

    (Nanjing Normal University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Yongbo Liu

    (University of Guelph)

  • Jingchao Jiang

    (Hangzhou Dianzi University
    Smart City Research Center of Zhejiang Province)

Abstract

Best management practices (BMPs) are widely used to reduce nonpoint source pollutions. In order to obtain cost-effective BMPs configurations, optimization methods are introduced. Recent studies show that knowledge on BMP placement can be used to improve existing algorithms for BMPs optimization. However, some important knowledge has not been fully utilized yet, one of which is about the spatial topology among fields and BMPs interactions. In this paper, a new method for BMPs optimization was proposed, which incorporated knowledge of BMPs interactions into a multi-objective genetic algorithm (i.e., ε-NSGAII) based on spatial topology among fields. Then this method was applied to the BMPs optimization in a small agricultural watershed in Southern Manitoba of Canada, and the performance was compared with those of conventional method. In order to make a comprehensive comparison, experiments were conducted under different population sizes (i.e., 60, 100, and 200) and different numbers of fields (i.e., 29, 52, and 79). The results showed that the proposed method was superior to conventional method on the aspect of greater sediment reductions (2% - 17%) at the same cost, and the Pareto curves obtained by the proposed method were more complete. This study demonstrated that incorporating spatial topology among fields into BMPs optimization can lead to better results and this finding could provide valuable references to similar studies.

Suggested Citation

  • Hui Wu & A-Xing Zhu & Junzhi Liu & Yongbo Liu & Jingchao Jiang, 2018. "Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 155-177, January.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:1:d:10.1007_s11269-017-1801-8
    DOI: 10.1007/s11269-017-1801-8
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    References listed on IDEAS

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    1. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    2. Duan Chen & Qiuwen Chen & Arturo S. Leon & Ruonan Li, 2016. "A Genetic Algorithm Parallel Strategy for Optimizing the Operation of Reservoir with Multiple Eco-environmental Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2127-2142, May.
    3. Honghai Qi & Mustafa Altinakar, 2011. "Vegetation Buffer Strips Design Using an Optimization Approach for Non-Point Source Pollutant Control of an Agricultural Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 565-578, January.
    4. Rabotyagov, Sergey S. & Campbell, Todd & Jha, Manoj & Gassman, Philip W. & Arnold, Jeffrey G. & Kurkalova, Lyubov A. & Secchi, Silvia & Feng, Hongli & Kling, Catherine L., 2010. "Least Cost Control of Agricultural Nutrient Contributions to the Gulf of Mexico Hypoxic Zone," Staff General Research Papers Archive 31319, Iowa State University, Department of Economics.
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    Cited by:

    1. Jinjin Gu & Yuan Cao & Min Wu & Min Song & Lin Wang, 2022. "A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty," Sustainability, MDPI, vol. 14(20), pages 1-18, October.

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