Optimal Layout and Pipe Sizing of Urban Drainage Networks to Improve Robustness and Rapidity
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 4
Abstract
It has been recently observed that traditional probability-based design of urban drainage systems often fails because of frequent heavy rainfall events due to global climate change. Therefore, it is critical to consider a system’s ability to prepare, react, and recover from a failure (i.e., resilience) in urban drainage network design. This study proposes a resilience-constrained optimal design model of urban drainage networks that minimizes total system cost while satisfying predefined levels of failure depth and duration. Failure (e.g., flooding) depth refers to the level of system performance degradation, whereas failure duration is the time taken for a system’s recovery to its normal state. Optimal layout and pipe sizes are identified by the proposed model comprising the harmony search algorithm for optimization and the storm water management model (SWMM) for dynamic hydrology–hydraulic simulations. The proposed model is demonstrated through the design of two grid networks and an A-city drainage network. The obtained resilience-based design is compared to the least-cost design obtained with no resilience consideration according to optimized layout and pipe sizes and the resulting topological characteristics.
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Data Availability Statement
The rainfall data used during the study are available from the Korea Meteorological Administration (KMA) website (https://data.kma.go.kr). The following data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government [Ministry of Science and ICT (MSIT)] (No. 2019R1A2B5B03069810).
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Published In
Journal of Water Resources Planning and Management
Volume 147 • Issue 4 • April 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Dec 2, 2019
Accepted: Oct 15, 2020
Published online: Jan 27, 2021
Published in print: Apr 1, 2021
Discussion open until: Jun 27, 2021
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