Article ; Online: Quantifying and improving flood resilience of urban drainage systems based on socio-ecological criteria.
Journal of environmental management
2023 Volume 339, Page(s) 117799
Abstract: In this paper, a new framework is developed for evaluating the resilience of urban drainage systems (UDSs) under floods by proposing and quantifying some technical and socio-ecological (SE) criteria. The proposed criteria are used to quantify the seven ... ...
Abstract | In this paper, a new framework is developed for evaluating the resilience of urban drainage systems (UDSs) under floods by proposing and quantifying some technical and socio-ecological (SE) criteria. The proposed criteria are used to quantify the seven principles of building resilience in socio-ecological systems. The criteria mainly focus on preserving diversity and multiplicity in a UDS, managing variables that gradually change over time (slow variables), improving structural and functional connectivity, maintaining system adaptability, encouraging learning, broadening participation, and promoting polycentric governance systems. For evaluating the efficiency of the proposed framework, it is applied to a real-world case study of improving resilience of the UDS in the eastern part of Tehran metropolitan area. Three scenarios for flood management are proposed based on the Low Impact Development (LID) practices which are simulated using the Storm Water Management Model (SWMM). The Entropy method is used to consider the uncertainty in the relative importance of different criteria in estimating the flood resilience. The estimated values for the proposed criteria regarding the current drainage system in the study area show its undesirable condition in many sub-catchments. The results also show that using around 2.3 km |
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MeSH term(s) | Ecosystem ; Floods/statistics & numerical data ; Iran ; Models, Theoretical ; Uncertainty |
Language | English |
Publishing date | 2023-04-10 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 184882-3 |
ISSN | 1095-8630 ; 0301-4797 |
ISSN (online) | 1095-8630 |
ISSN | 0301-4797 |
DOI | 10.1016/j.jenvman.2023.117799 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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