Technical Papers
Sep 10, 2022

An Online Data-Driven Evolutionary Algorithm–Based Optimal Design of Urban Stormwater-Drainage Systems

Publication: Journal of Irrigation and Drainage Engineering
Volume 148, Issue 11

Abstract

To reduce flood risk in urban areas, an optimal design of drainage networks for urban areas is essential for flooding control and drainage management of the urban stormwater drainage system (USDS). A conventional design is generally used for drainage networks, resulting in high computational costs and limited flooding reduction effect. In this study, based on an on-line data-driven evolutionary algorithm coupled with the storm water management model (SWMM), a novel approach for USDS drainage network optimization design was developed. A case in Xi’an City, China, was then selected for practical implementation, where the performances of the local planning scheme, the particle swarm optimization algorithm (PSO) and the proposed approach were compared. Results confirmed that our proposed methodological approach is feasibility and highly efficiency, leading to a 32% reduction in total flooding from that resulting from the local planning scheme. In addition, the average computational time was reduced by 57%, while the flooding control effect was better, compared to PSO algorithm optimization. These results suggest that our optimization design approach is reliable and applicable, and can benefit and assist designers in practice.

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Data Availability Statement

The data and code that support this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was partly supported by the National Natural Science Foundation of China (Nos. 5160919 and 52009104), and the Sino-German Mobility Programme (Grant No. M-0427).

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 148Issue 11November 2022

History

Received: Jul 15, 2021
Accepted: Apr 27, 2022
Published online: Sep 10, 2022
Published in print: Nov 1, 2022
Discussion open until: Feb 10, 2023

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Xuan Li, Ph.D. [email protected]
State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, Xi’an 710048, China. Email: [email protected]
Jingming Hou [email protected]
Professor, State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, Xi’an 710048, China (corresponding author). Email: [email protected]
Ph.D. Candidate, Northwest Agriculture and Forestry Univ., Yangling, Shaanxi 712100, China. Email: [email protected]
Ying’en Du [email protected]
Ph.D. Candidate, State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, Xi’an 710048, China. Email: [email protected]
Hao Han, Ph.D. [email protected]
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China. Email: [email protected]
Shaoxiong Yang [email protected]
Ph.D. Candidate, State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, Xi’an 710048, China. Email: [email protected]
Engineer, Northwest Engineering Corporation Limited, Xi’an, Shaanxi 710065, China. Email: [email protected]
Engineer, Northwest Engineering Corporation Limited, Xi’an, Shaanxi 710065, China. Email: [email protected]

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