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A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty

Author

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  • Jinjin Gu

    (Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology, Hefei 230601, China)

  • Yuan Cao

    (Department of Urban and Rural Planning, School of Forestry and Landscape Architecture, Anhui Agriculture University, Hefei 230036, China)

  • Min Wu

    (Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology, Hefei 230601, China)

  • Min Song

    (Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology, Hefei 230601, China)

  • Lin Wang

    (Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology, Hefei 230601, China)

Abstract

Watershed Best management Practices (BMPs) spatial optimal layout would be affected by uncertainty, and there are still three problems which are worthy of studying in the present studies of watershed BMPs spatial optimal layout under uncertainty: (1) how to integrate multiple uncertainties in optimization model effectively; (2) how to avoid subjective weight in multi-objective uncertainty model; (3) how to develop more elastic schemes for uncertainty impact. To solve the mentioned problems, this study takes Zhegao river watershed, China as an example, interval stochastic fuzzy fractional programming (ISFFP) integrated with SWAT hydrology model is applied for BMPs spatial optimal layout in watershed to reduce non-point source (NPS) pollution. The result shows that the ISFFP method could solve the problems effectively, and the method could be adapted to different types of uncertainty, also the method has seldom been used in uncertainty BMPs spatial optimal layout, and the method is worth of popularization.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13088-:d:940524
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    References listed on IDEAS

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