University of Oulu

Hosseinzadeh, A., Behzadian, K., Rossi, P., Karami, M., Ardeshir, A., & Torabi Haghighi, A. (2023). A new multi-criteria framework to identify optimal detention ponds in urban drainage systems. Journal of Flood Risk Management, 16(2), e12890.

A new multi-criteria framework to identify optimal detention ponds in urban drainage systems

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Author: Hosseinzadeh, Azadeh1,2; Behzadian, Kourosh3; Rossi, Pekka2;
Organizations: 1Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran
2Water, Energy, and Environmental Engineering Research Unit, University of Oulu, Oulu, Finland
3School of Computing and Engineering, University of West London, London, UK
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6 MB)
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Language: English
Published: John Wiley & Sons, 2023
Publish Date: 2023-11-03


Urban development broadly impacts the hydrological cycle, leading to increased peak flow and flooding. Surface water detention ponds are among the most efficient measures for attenuating peak flow and returning it from development to pre-development conditions. However, the major challenge is identifying optimal locations and cost-effective designs for these ponds. This paper presents a new framework for identifying the best strategies for using detention ponds to control floods in urban drainage systems (UDS). The framework comprises a portfolio of simulation tools coupled with evolutionary optimisation and multi-criteria decision analysis models. Hydraulic simulation of UDS is first modelled using SWMM and GIS tools. A multi-objective optimisation model was used to find the optimal location and design for detention ponds. The compromise programming (CP) multi-criteria decision-making method was then used to prioritise potential best management solutions for detention ponds based on several sustainability criteria comprising economic, environmental, physiographic and social factors. The results identified the key features of potential detention ponds appearing in all multi-objective optimal solutions that are useful for decision-makers/designers when planning/designing for new detention ponds. The selected optimal pond strategies can significantly improve the UDS performance by decreasing flood damage between 66% and 90% at the cost of between $50,000 and $160,000.

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Series: Journal of flood risk management
ISSN: 1753-318X
ISSN-E: 1753-318X
ISSN-L: 1753-318X
Volume: 16
Issue: 2
Article number: e12890
DOI: 10.1111/jfr3.12890
Type of Publication: A1 Journal article – refereed
Field of Science: 212 Civil and construction engineering
218 Environmental engineering
Funding: The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Dataset Reference: The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
Copyright information: © 2023 The Authors. Journal of Flood Risk Management published by Chartered Institution of Water and Environmental Management and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.