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Comparing the Selection and Placement of Best Management Practices in Improving Water Quality Using a Multiobjective Optimization and Targeting Method

Author

Listed:
  • Li-Chi Chiang

    (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli 36003, Taiwan)

  • Indrajeet Chaubey

    (Department of Earth, Atmospheric, and Planetary Sciences, Department of Agricultural and Biological Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USA)

  • Chetan Maringanti

    (Risk Modeling Unit, Zurich Financial Services Ltd., Mythenquai 2, Zurich 8002, Switzerland)

  • Tao Huang

    (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli 36003, Taiwan)

Abstract

Suites of Best Management Practices (BMPs) are usually selected to be economically and environmentally efficient in reducing nonpoint source (NPS) pollutants from agricultural areas in a watershed. The objective of this research was to compare the selection and placement of BMPs in a pasture-dominated watershed using multiobjective optimization and targeting methods. Two objective functions were used in the optimization process, which minimize pollutant losses and the BMP placement areas. The optimization tool was an integration of a multi-objective genetic algorithm (GA) and a watershed model (Soil and Water Assessment Tool—SWAT). For the targeting method, an optimum BMP option was implemented in critical areas in the watershed that contribute the greatest pollutant losses. A total of 171 BMP combinations, which consist of grazing management, vegetated filter strips (VFS), and poultry litter applications were considered. The results showed that the optimization is less effective when vegetated filter strips (VFS) are not considered, and it requires much longer computation times than the targeting method to search for optimum BMPs. Although the targeting method is effective in selecting and placing an optimum BMP, larger areas are needed for BMP implementation to achieve the same pollutant reductions as the optimization method.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:3:p:2992-3014:d:33898
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    References listed on IDEAS

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    1. 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.
    2. Li-Chi Chiang & Indrajeet Chaubey & Nien-Ming Hong & Yu-Pin Lin & Tao Huang, 2012. "Implementation of BMP Strategies for Adaptation to Climate Change and Land Use Change in a Pasture-Dominated Watershed," IJERPH, MDPI, vol. 9(10), pages 1-31, October.
    3. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    4. Pei-Te Chiueh & Wei-Ting Shang & Shang-Lien Lo, 2012. "An Integrated Risk Management Model for Source Water Protection Areas," IJERPH, MDPI, vol. 9(10), pages 1-16, October.
    5. Jinliang Huang & Pei Zhou & Zengrong Zhou & Yaling Huang, 2012. "Assessing the Influence of Land Use and Land Cover Datasets with Different Points in Time and Levels of Detail on Watershed Modeling in the North River Watershed, China," IJERPH, MDPI, vol. 10(1), pages 1-14, December.
    6. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
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    Cited by:

    1. Xiaoping Li & Yan Yan & Liuyang Yao, 2020. "‘Get a Fish’ vs. ‘Get a Fishing Skill’: Farmers’ Preferred Compensation Methods to Control Agricultural Nonpoint Source Pollution," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    2. Junfei Chen & Tonghui Ding & Ming Li & Huimin Wang, 2020. "Multi-Objective Optimization of a Regional Water–Energy–Food System Considering Environmental Constraints: A Case Study of Inner Mongolia, China," IJERPH, MDPI, vol. 17(18), pages 1-22, September.
    3. 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.

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