期刊
URBAN WATER JOURNAL
卷 19, 期 10, 页码 1066-1079出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1573062X.2022.2117632
关键词
Compromise programming; flood risk management; multi-criteria decision making; urban drainage systems
资金
- Royal Academy of Engineering under the Leverhulme Trust Research
This paper presents a multi-criteria risk-based approach for managing urban flood hazards and demonstrates its application on a case study of the Golestan city UDS in Iran. The results obtained show that the selected optimal solutions can effectively reduce both flood and pollution risks.
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 non-dominated 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.
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