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Development of a Multiobjective Automatic Parameter-Calibration Framework for Urban Drainage Systems

Author

Listed:
  • Seon Woo Kim

    (Department of Civil, Environmental and Architectural Engineering, Korea University, 145, Anam-ro, Seongbukgu, Seoul 02841, Korea)

  • Soon Ho Kwon

    (Future and Fusion Lab of Architectural, Civil and Environmental Engineering, Korea University, Anamdong, Seongbukgu, Seoul 02841, Korea)

  • Donghwi Jung

    (School of Civil, Environmental and Architectural Engineering, Korea University, Anamdong, Seongbukgu, Seoul 02841, Korea)

Abstract

Urban drainage systems (UDSs) continue to face challenges, despite numerous efforts to improve their sustainability through design, planning, and management. The goal of such initiatives is to avoid and minimize flooding as well as maintain the UDS’s sustainable functionality, which can be analyzed using a stormwater management model (SWMM). In this study, a multiobjective automatic parameter-calibration (MAPC) framework was developed based on the SWMM. It consisted of three steps: sensitivity analysis (Step I), objective selection (Step II), and SWMM parameter calibration (Step III). The proposed MAPC framework was verified using the Yongdap drainage network located in Seoul, South Korea. The resultant MAPC framework demonstrated that the system characteristics (such as percent of impervious area and hillslope) and problems in UDS design, planning, and management can be well reflected by the corresponding model. The MAPC framework proposed in this study can contribute to UDS modeling sustainability.

Suggested Citation

  • Seon Woo Kim & Soon Ho Kwon & Donghwi Jung, 2022. "Development of a Multiobjective Automatic Parameter-Calibration Framework for Urban Drainage Systems," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8350-:d:858049
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    References listed on IDEAS

    as
    1. Deepak Singh Bisht & Chandranath Chatterjee & Shivani Kalakoti & Pawan Upadhyay & Manaswinee Sahoo & Ambarnil Panda, 2016. "Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 749-776, November.
    2. Ioannis Kougias & Nicolaos Theodossiou, 2013. "Multiobjective Pump Scheduling Optimization Using Harmony Search Algorithm (HSA) and Polyphonic HSA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1249-1261, March.
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