Improving Urban Drainage Systems Resiliency Against Unexpected Blockages: A Probabilistic Approach
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Considering the increase of flood hazards in many large cities, the rehabilitation of hydro-urban infrastructures is an important concern for the municipal authorities. A probabilistic approach based on Monte Carlo Simulation (MCS) is presented in this study to improve the resiliency of urban drainage systems when they are subject to unexpected structural blockages. The approach is integrated with SWMM simulation model and an evolutionary search algorithm to find the best set of rehabilitation measures under a significant number of blockage scenarios. Experimental results on the west zone of main drainage system in Tehran city indicate that proposed approach outperforms the conventional hydraulic-based methodology in terms of cost effectiveness and functionality. Results also show that adding the redundancy to the system by bypass lines in bottlenecks is considerably more efficient for flood mitigation and the increase of system resiliency under blockage incidents rather than using conventional methods such as detention ponds and enlargement of the channel sizes.
KeywordsResiliency Rehabilitation Urban drainage system Optimization
This research has been supported by the research grant no. 600/1449 funded by Shahid Beheshti University, Tehran, Iran. The author would like to express his gratitude and thanks to Prof. Hewage and Prof. Sadiq, in School of Engineering, University of British Columbia, Kelowna, who read and edited carefully the final draft of the paper. The author also thanks Mr. Saeed Mohammadiun for helps in this research. Their effort is highly acknowledged.
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