Journal
SUSTAINABILITY
Volume 14, Issue 14, Pages -Publisher
MDPI
DOI: 10.3390/su14148350
Keywords
urban drainage systems; stormwater management model; multiobjective automatic parameter-calibration framework; UDS modeling sustainability
Funding
- National Research Foundation of Korea (NRF) - Korean government (MSIT) [NRF-2021R1A5A1032433]
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In this study, a multiobjective automatic parameter-calibration framework based on the stormwater management model (SWMM) was developed to improve the sustainability of urban drainage systems (UDSs). The proposed framework was verified using the Yongdap drainage network in Seoul, South Korea, and showed its effectiveness in reflecting system characteristics and problems in UDS design, planning, and management.
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.
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