Improving Urban Drainage Systems Resiliency Against Unexpected Blockages: A Probabilistic Approach

• Published in: Water resources management Vol. 32; no. 14; pp. 4561 - 4573
• Main Author: Yazdi, J.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.11.2018; Springer Nature B.V
• Subjects: algorithms; Atmospheric Sciences; cities; Civil Engineering; Computer simulation; Cost effectiveness; Detention basins; Drainage; Drainage systems; Earth and Environmental Science; Earth Sciences; Enlargement; Environment; Evolutionary algorithms; Flood control; Flood hazards; Geotechnical Engineering & Applied Earth Sciences; Hazards; Hydrogeology; Hydrology/Water Resources; infrastructure; Mathematical models; Mitigation; Monte Carlo method; Monte Carlo simulation; ponds; probability analysis; Redundancy; Rehabilitation; Resilience; Search algorithms; Simulation; simulation models; Statistical methods; Stormwater; urban areas; Urban drainage; Urban drainage system; Resiliency; Rehabilitation; Optimization
• ISSN: 0920-4741; 1573-1650
• DOI: 10.1007/s11269-018-2069-3

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.