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An Integrated Fuzzy Simulation-Optimization Model for Supporting Low Impact Development Design under Uncertainty

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  • Wei Lu

    (Nanyang Technological University)

  • Xiaosheng Qin

    (Nanyang Technological University)

Abstract

Seeking cost-effective design of urban hydrological facilities and drainage systems is an important task for many city planners. However, such a process has always been complicated with intrinsic uncertainties. This work presented an integrated fuzzy simulation-optimization model (FSOM) for supporting Low Impact Development (LID) design under model uncertainties. Various LID implementation schemes involving green roof, bio-retention cell, and permeable pavement were simulated through an urban hydrological model. Three model parameters were assumed as fuzzy sets. In a case study, fuzzy simulation (FS) and genetic algorithm (GA) were employed to search the optimal schemes of LIDs under various confidence levels of satisfying flood control constraints. Comparison of FSOM to traditional deterministic and stochastic models were also carried out. It was shown that FSOM could offer a flexible way of defining and assessing uncertainties associated with hydrological modeling and generate solutions that were comparable to those from either deterministic or stochastic models. However, FSOM also showed limitation of high computational requirement.

Suggested Citation

  • Wei Lu & Xiaosheng Qin, 2019. "An Integrated Fuzzy Simulation-Optimization Model for Supporting Low Impact Development Design under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4351-4365, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:12:d:10.1007_s11269-019-02377-7
    DOI: 10.1007/s11269-019-02377-7
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    References listed on IDEAS

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    1. Rodney Ronalds & Hong Zhang, 2019. "Assessing the Impact of Urban Development and On-Site Stormwater Detention on Regional Hydrology Using Monte Carlo Simulated Rainfall," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2517-2536, May.
    2. Fei Li & Xu-Feng Yan & Huan-Feng Duan, 2019. "Sustainable Design of Urban Stormwater Drainage Systems by Implementing Detention Tank and LID Measures for Flooding Risk Control and Water Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3271-3288, July.
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    Cited by:

    1. Amirhossein Nazari & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2023. "Integrated SUSTAIN-SWMM-MCDM Approach for Optimal Selection of LID Practices in Urban Stormwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3769-3793, July.
    2. Omid Seyedashraf & Andrea Bottacin-Busolin & Julien J. Harou, 2021. "Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2449-2464, June.
    3. Bin Liu & Huajian Fang & Xiaosheng Qin & Feilian Zhang & Jingjing Li, 2023. "An integrated multi‐criteria analysis framework of built reservoir with dam‐heightening‐based decision: China's largest water transfer programs for sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 540-554, February.

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