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Examining the Possibilities: Generating Alternative Watershed-Scale BMP Designs with Evolutionary Algorithms

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  • Kimberly Artita
  • Prakash Kaini
  • John Nicklow

Abstract

Recent studies in water resources planning and management show a gradual shift in the state of the art from numerous on-site structural stormwater Best Management Practice (BMP) designs to watershed-scale BMP design approaches that meet both target water quantity (peak flow) and quality (sediment reduction) criteria. Such regionally-strategic approaches are not only cost-effective but emphasize comprehensive, holistic watershed-scale management, an idea strongly promoted by the U.S. Environmental Protection Agency (US EPA) since the early 1990s. Implementing a watershed-scale design can prove difficult when decision-makers have differing and sometimes conflicting objectives. We present a methodology that integrates the semi-distributed watershed model Soil and Water Assessment Tool (SWAT) with an evolutionary algorithm, Species Conserving Genetic Algorithm (SCGA). In addition to identifying an optimal watershed-scale BMP design (e.g., type, size, location), SCGA simultaneously produces several near-optimal design alternatives using a user-specified distance metric. We demonstrate this decision-oriented framework on a watershed in southern Illinois. Results of this application yield several high-quality alternative designs appropriate for solving integrated watershed management problems. Copyright Springer Science+Business Media Dordrecht 2013

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  • Kimberly Artita & Prakash Kaini & John Nicklow, 2013. "Examining the Possibilities: Generating Alternative Watershed-Scale BMP Designs with Evolutionary Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3849-3863, September.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:11:p:3849-3863
    DOI: 10.1007/s11269-013-0375-3
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    References listed on IDEAS

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    1. Manoj Jha & Philip W. Gassman & Silvia Secchi & Roy Gu & Jeffrey G. Arnold, 2002. "Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions," Center for Agricultural and Rural Development (CARD) Publications 02-wp315, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    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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    Cited by:

    1. Carlos Martínez & Arlex Sanchez & Beheshtah Toloh & Zoran Vojinovic, 2018. "Multi-objective Evaluation of Urban Drainage Networks Using a 1D/2D Flood Inundation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4329-4343, October.
    2. George Atisa & Mahadev Bhat & Michael McClain, 2014. "Economic Assessment of Best Management Practices in the Mara River Basin: Toward Implementing Payment for Watershed Services," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(6), pages 1751-1766, April.
    3. D. Mora-Melia & P. Iglesias-Rey & F. Martinez-Solano & P. Ballesteros-Pérez, 2015. "Efficiency of Evolutionary Algorithms in Water Network Pipe Sizing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4817-4831, October.
    4. Feifei Zheng & Zhexian Qi & Weiwei Bi & Tuqiao Zhang & Tingchao Yu & Yu Shao, 2017. "Improved Understanding on the Searching Behavior of NSGA-II Operators Using Run-Time Measure Metrics with Application to Water Distribution System Design Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1121-1138, March.

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