Stochastic multiobjective optimization model for urban drainage network rehabilitation

J. Yazdi, E. H. Lee, Joong Hoon Kim

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish
Article number04014091
JournalJournal of Water Resources Planning and Management
Volume141
Issue number8
DOIs
Publication statusPublished - 2015 Aug 1

Fingerprint

urban drainage
optimization model
drainage network
Multiobjective optimization
Patient rehabilitation
Drainage
rehabilitation
Rain
rainfall
uncertainty
subversion
Infiltration
Climate change
Probability distributions
confidence interval
trade-off
urbanization
decision maker
urban area
infiltration

Keywords

  • Copula
  • Harmony search
  • Monte Carlo
  • Multiobjective
  • Rehabilitation
  • Urban drainage

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering
  • Management, Monitoring, Policy and Law
  • Geography, Planning and Development

Cite this

Stochastic multiobjective optimization model for urban drainage network rehabilitation. / Yazdi, J.; Lee, E. H.; Kim, Joong Hoon.

In: Journal of Water Resources Planning and Management, Vol. 141, No. 8, 04014091, 01.08.2015.

Research output: Contribution to journalArticle

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