Stochastic Multiobjective Optimization Model for Urban Drainage Network Rehabilitation
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 8
Abstract
Flooding in urban areas has become increasingly common in recent decades, as a result of increased urbanization, decreased infiltration rates, and climate change. Hydraulic rehabilitation plans can be developed and implemented to maintain suitable urban drainage system performance. Determining the effective plans, however, requires the involvement of rainfall uncertainties in the modeling and using special tools. In this study, statistical copula functions are established to determine joint probability distribution of rainfall variables considering their dependence structure. The most credible distribution is then used through the Monte Carlo simulation (MCS) to investigate rainfall uncertainties. A multiobjective optimization model is also developed and, after validation, is linked to the EPA-SWMM model for evaluating urban drainage rehabilitation scenarios. The copula-based multiobjective optimization model represents a range of cost-effective rehabilitation plans in terms of overflow improvements and their confidence intervals. This provides decision makers with valuable information about the robustness of the solutions and the possibility of selecting a trade-off region given constrained rehabilitation resources.
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Acknowledgments
This research was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government [Ministry of Science, ICT and Future Planning (MSIP)] (NRF-2013R1A2A1A01013886), and the Advanced Water Management Research Program (AWMP) funded by the Ministry of Land, Infrastructure, and Transport of the Korean government (13AWMP-B066744-01).
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Information & Authors
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Published In
Journal of Water Resources Planning and Management
Volume 141 • Issue 8 • August 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Apr 23, 2014
Accepted: Sep 17, 2014
Published online: Oct 15, 2014
Discussion open until: Mar 15, 2015
Published in print: Aug 1, 2015
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