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A Topography Analysis Incorporated Optimization Method for the Selection and Placement of Best Management Practices

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  • Zhenyao Shen
  • Lei Chen
  • Liang Xu

Abstract

Best Management Practices (BMPs) are one of the most effective methods to control nonpoint source (NPS) pollution at a watershed scale. In this paper, the use of a topography analysis incorporated optimization method (TAIOM) was proposed, which integrates topography analysis with cost-effective optimization. The surface status, slope and the type of land use were evaluated as inputs for the optimization engine. A genetic algorithm program was coded to obtain the final optimization. The TAIOM was validated in conjunction with the Soil and Water Assessment Tool (SWAT) in the Yulin watershed in Southwestern China. The results showed that the TAIOM was more cost-effective than traditional optimization methods. The distribution of selected BMPs throughout landscapes comprising relatively flat plains and gentle slopes, suggests the need for a more operationally effective scheme, such as the TAIOM, to determine the practicability of BMPs before widespread adoption. The TAIOM developed in this study can easily be extended to other watersheds to help decision makers control NPS pollution.

Suggested Citation

  • Zhenyao Shen & Lei Chen & Liang Xu, 2013. "A Topography Analysis Incorporated Optimization Method for the Selection and Placement of Best Management Practices," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-12, January.
  • Handle: RePEc:plo:pone00:0054520
    DOI: 10.1371/journal.pone.0054520
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    References listed on IDEAS

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    1. 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.
    2. Prakash Kaini & Kim Artita & John Nicklow, 2012. "Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1827-1845, May.
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    1. Gottshall, Bryan & Paudel, Krishna P., 2013. "Assessing the Efficiency of Alternative Best Management Practices to Reduce Nonpoint Source Pollution in the Broiler Production Region of Louisiana," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150463, Agricultural and Applied Economics Association.
    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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