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Tytuł:
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A combined qualitative-quantitative fuzzy method for urban flood resilience assessment in Karaj City, Iran.
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Autorzy:
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Khatooni K; Department of Civil Engineering, Architecture and Art, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Hooshyaripor F; Department of Civil Engineering, Architecture and Art, Science and Research Branch, Islamic Azad University, Tehran, Iran. .
MalekMohammadi B; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Noori R; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
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Źródło:
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Scientific reports [Sci Rep] 2023 Jan 05; Vol. 13 (1), pp. 241. Date of Electronic Publication: 2023 Jan 05.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: London : Nature Publishing Group, copyright 2011-
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MeSH Terms:
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Floods*
Risk Management*
Iran ; Cities
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References:
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Philos Trans A Math Phys Eng Sci. 2020 Apr 3;378(2168):20190201. (PMID: 32063172)
Int J Environ Res Public Health. 2019 Jun 16;16(12):. (PMID: 31208126)
Trends Ecol Evol. 2015 Sep;30(9):516-23. (PMID: 26293697)
J Environ Manage. 2021 Jun 15;288:112472. (PMID: 33823444)
Water Sci Technol. 2017 Feb;75(3-4):823-832. (PMID: 28234283)
Environ Sci Pollut Res Int. 2022 Jun;29(30):46306-46324. (PMID: 35167027)
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Entry Date(s):
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Date Created: 20230105 Date Completed: 20230109 Latest Revision: 20230222
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Update Code:
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20240105
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PubMed Central ID:
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PMC9816113
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DOI:
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10.1038/s41598-023-27377-x
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PMID:
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36604565
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This study aims to analyze flood resilience (FR) in Karaj City, Iran, using a new fuzzy method which combines several qualitative and quantitative indices. The qualitative part was estimated by a questionnaire consisting of 42 questions distributed into five indices (social-cultural, economic, infrastructural-physical, organizational-institutional, and hydraulic). A fuzzy method was used for analyzing the results. To quantify the hydraulic index, a 25-year flood was simulated in the Storm Water Management Model and the flooding volume at every grid was estimated. The idea was that the flooding amount could be representative of structural FR of drainage network that cannot be evaluated through a questionnaire well. To calculate the FR of different districts, the obtained FR indices were fuzzified then aggregated. Considering that clustering can assist managers and decision makers for more effective flood risk management, a fuzzy equivalence matrix concept was used for clustering FR in the city. Friedman test showed the significance of differences between FR of every two districts. Based on the results, northwestern and southeastern districts had the highest and the lowest resilience, respectively. Although the impact of infrastructure-physical index on the FR was similar in most of the districts, the contribution of social-cultural, organizational-institutional, and hydraulic indices was significantly different. Also, districts with low scores in the infrastructure-physical, organizational-institutional, and hydraulic indices need more attention for flood risk management.
(© 2023. The Author(s).)
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