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Optimal Location of Best Management Practices for Flood Mitigation in Urban Drainage Systems

Name: Optimal Location of Best Management Practices for Flood Mitigation in Urban Drainage Systems
Keywords: overflows, Engineering machinery, tools, and implements, flooding, climate change, urban drainage, BMPs, TA213-215, resilience

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 14 Oct 2024Publisher:MDPI AGJournal:The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024)

Authors: Enrico Creaco; Arianna Dada; Giovanna Grossi; Sara Todeschini;

doi: 10.3390/engproc2024069189

Optimal Location of Best Management Practices for Flood Mitigation in Urban Drainage Systems

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Abstract

The present work presents a bi-objective optimization methodology, which is aimed at simultaneously minimizing the total installation costs of management systems as well as urban flooding, as a tool to be conveniently adopted as part of a decision support system to help identify the optimal location of best management practices (BMPs). For each sub-catchment present in an urban drainage system, the decision variables include the rate of impervious areas to be used for BMP installation. The performance of the urban drainage system following optimal BMP installation is tested against climate change scenarios obtained from a real case study conducted in the industrial area of Brescia; the numerical model of this study can be obtained via the EPASWMM software.

Related Organizations

University of Pavia
Italy
University of Brescia
Italy

Keywords

overflows, Engineering machinery, tools, and implements, flooding, climate change, urban drainage, BMPs, TA213-215, resilience

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Related to Research communities

Energy Research