Effects of bottleneck blockage on the resilience of an urban stormwater drainage system

Severe urban floods have frequently caused social and financial infrastructure problems due to a lack of hydraulic capacity of urban drainage systems or the structural failure of network elements. Conventional, reliability-based design methods of drainage networks only provide acceptable performance...

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Bibliographic Details
Published in:Hydrological sciences journal 2020-01, Vol.65 (2), p.281-295
Main Authors: Mohammadiun, S., Yazdi, J., Hager, J., Salehi Neyshabouri, S. A. A., Sadiq, R., Hewage, K., Alavi Gharahbagh, A.
Format: Article
Language:English
Subjects:
bottleneck blockage
Design
Drainage patterns
Drainage systems
Flood control
Floods
Methods
Network reliability
optimization
Poisson distribution
Rain
Rainfall
Rehabilitation
Resilience
Storms
Stormwater
Structural failure
unexpected loading
Urban areas
Urban drainage
Urban drainage systems
urban stormwater drainage system
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Summary:Severe urban floods have frequently caused social and financial infrastructure problems due to a lack of hydraulic capacity of urban drainage systems or the structural failure of network elements. Conventional, reliability-based design methods of drainage networks only provide acceptable performance under expected conditions of loading. In this study, a new approach based on resilience is proposed for the rehabilitation of urban drainage systems; this approach is able to maintain a predefined service level under both external and unexpected internal loads, including different scenarios of blockage and a severe rainfall event. The performance of different design methods: resilient, non-resilient, deterministic and uncertain models, is comprehensively compared and the most appropriate approaches are introduced. The results show that the new resilient approach outperforms conventional design/rehabilitation methods in terms of flood volume reduction. Additionally, the single blockage scheme and the Poisson distribution-based model show the best performance to enhance the resilience of the network.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2019.1690657