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Simultaneous Optimization of SWMM Parameters by the Dynamic System Response Curve with Multi-Objective Function

Author

Listed:
  • Yao Du

    (Hohai University)

  • Qiongfang Li

    (Hohai University
    Yangtze Institute for Conservation and Development, Hohai University)

  • Pengfei He

    (Yellow River Institute of Hydraulic Research)

  • Zhenhua Zou

    (Middle Changjiang River Bureau of Hydrological and Water Resources Survey, Changjiang Water Resources Commission)

  • Zhengmo Zhou

    (Hohai University)

  • Shuhong Xu

    (Hohai University)

  • Xingye Han

    (Hohai University)

  • Tianshan Zeng

    (Hohai University)

Abstract

The effective and efficient optimization of Storm Water Management Model (SWMM) parameters is critical to improving the accuracy of the urban rainfall-runoff simulation. Therefore, it is necessary to investigate the applicability of the dynamic system response curve (DSRC) method in optimizing SWMM model parameters, which is newly proposed to solve the nonlinear problems encountered by current widely used optimization methods. A synthetic case, free of data and model errors, was used to examine the applicability of the DSRC with single-objective or multi-objective functions in finding the optimum parameter values known by assumption. A real watershed case was selected for the optimization of SWMM parameters by use of DSRC with the most suitable objective function, which was determined by a synthetic case. In addition, the advantages of the DSRC in SWMM parameter optimization over the Particle Swarm Optimization(PSO) and Multiple Objective Particle Swarm Optimization(MOPSO) algorithms were analyzed in terms of NSE, $${RE}_{v}$$ RE v , $${RE}_{p}$$ RE p , and $${EP}_{t}$$ EP t . The results revealed that the DSRC with multi-objective function could find the global optima of all SWMM model parameters in the synthetic case, but it could only attain part of them with a single-objective function. In the real watershed case, the DSRCS-optimized SWMM performed better than MOPSO-optimized one with an increase of average $$\mathrm{NSE}$$ NSE by 5.8% and a reduction of average $$\left|{RE}_{v}\right|$$ RE v , $$\left|{RE}_{p}\right|$$ RE p and $$\left|{EP}_{t}\right|$$ EP t by -53.7%, -67.9%, and -34.6% respectively during the study period. The outputs of this paper could provide a promising approach for the optimization of SWMM parameters and the improvement of urban flooding simulation accuracy, and a scientific support for urban flood risk control and mitigation.

Suggested Citation

  • Yao Du & Qiongfang Li & Pengfei He & Zhenhua Zou & Zhengmo Zhou & Shuhong Xu & Xingye Han & Tianshan Zeng, 2023. "Simultaneous Optimization of SWMM Parameters by the Dynamic System Response Curve with Multi-Objective Function," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(13), pages 5061-5079, October.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:13:d:10.1007_s11269-023-03595-w
    DOI: 10.1007/s11269-023-03595-w
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    References listed on IDEAS

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    1. Zening Wu & Bingyan Ma & Huiliang Wang & Caihong Hu & Hong Lv & Xiangyang Zhang, 2021. "Identification of Sensitive Parameters of Urban Flood Model Based on Artificial Neural Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2115-2128, May.
    2. Wei Zhang & Tian Li, 2015. "The Influence of Objective Function and Acceptability Threshold on Uncertainty Assessment of an Urban Drainage Hydraulic Model with Generalized Likelihood Uncertainty Estimation Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 2059-2072, April.
    3. Majid Hashemi & Najmeh Mahjouri, 2022. "Global Sensitivity Analysis-based Design of Low Impact Development Practices for Urban Runoff Management Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 2953-2972, July.
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