Karami, Mozhgan, Behzadian, Kourosh ORCID: https://orcid.org/0000-0002-1459-8408, Ardeshir, Abdollah, Hosseinzadeh, Azadeh and Kapelan, Zoran (2022) A multi-criteria risk-based approach for optimal planning of SuDS solutions in urban flood management. Urban Water Journal. ISSN 1573-062X

Preview

PDF NURW-2021-0412.R1_Clear version.pdf - Accepted Version Download (1MB) | Preview

Abstract

This paper presents a multi-criteria risk-based approach for managing urban flood hazards by using a combination of conventional measures and contemporary Sustainable Drainage Systems (SuDS). A multi-objective optimisation model coupled with a simulation model of UDS in the SWMM software is developed with the three objectives of minimising total costs, the risk of flooding and pollution discharged into receiving waters. K-means clustering technique is used to group the optimal solutions. A few optimal solutions and individual SuDS solutions are then ranked together by using the compromise programming (CP) method. The methodology is demonstrated by its application on a case study of the
Golestan city UDS in Iran. The results obtained show there are indirect correlations between nondominated solutions that minimise the risk of either flooding or pollution. The results also show the selected optimal solutions can provide cost-effective strategies that reduce both flood and pollution risks by at least 27% and 50%, respectively.

Item Type:	Article
Identifier:	10.1080/1573062x.2022.2117632
Additional Information:	This is an Accepted Manuscript of an article published by Taylor & Francis in Urban Water Journal on 29 August 2022, available at: https://www.tandfonline.com/10.1080/1573062x.2022.2117632
Keywords:	Compromise programming, flood risk management, multi-criteria decision making, urban drainage systems
Subjects:	Construction and engineering > Civil and environmental engineering
Related URLs:	Publisher Publisher
Depositing User:	Kourosh Behzadian
Date Deposited:	01 Sep 2022 11:16
Last Modified:	06 Feb 2024 16:11
URI:	https://repository.uwl.ac.uk/id/eprint/9364

Downloads

Actions (login required)

View Item