Mapping flood resilience: a comprehensive geospatial insight into regional vulnerabilities
Rattachement africain : cn, pk, Égypte. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Flood is the most frequent and destructive natural disaster, causing significant negative impacts on humans and built and natural ecosystems. While it is extremely challenging to prevent floods, their associated hazards can be mitigated through well-planned and appropriate measures. The present study combined the analytical hierarchy process (AHP) analysis and an ArcGIS-based multi-criteria decision-making (MCDM) approach to assess, categorize, quantify, and map the flood-prone areas in Khyber Pakhtunkhwa, Pakistan, a region particularly vulnerable to recurrent flooding. Eight key factors including precipitation, rivers/streams, slope, elevation, soil, normalized difference vegetation index, and land use were used for flood susceptibility modeling. The weighted sum overlay tool in global positioning system ArcGIS was utilized to give weightage to each raster layer, based on the AHP ranking to produce a flood susceptibility map for the study area. According to the AHP analysis, the most impactful factors defining the flood susceptibility in our study area were streams (0.29%), precipitation (0.23%), slope of the area (14%), and LST (10%). Our flood model achieved excellent accuracy, with Area Under the Curve (AUC) value of 0.911. The model predicted that 9% of the total area is classified as very high risk, while 14% is identified as high risk, covering approximately 923,257 hectares and 1,419,480 hectares, respectively. These high-risk zones are predominantly concentrated in the central and lower northern, densely populated districts of the province. Our flood susceptibility results would assist policymakers, concerned departments, and local communities in assessing flood risk in a timely manner and designing effective mitigation and response strategies.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Mapping flood resilience: a comprehensive geospatial insight into regional vulnerabilities
- Date Crossref
- 26/03/2025
- Éditeur
- Frontiers Media SA
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Guangdong Academy of Agricultural Sciences pays non établi dans la noticeOrganisme public
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Institute of Zoology pays non établi dans la noticeStructure de recherche
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University of Lahore Department of Zoology pays non établi dans la noticeUniversité ou école supérieure
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University of Swat Department of Environmental and Conservation Sciences pays non établi dans la noticeUniversité ou école supérieure
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University of Balochistan pays non établi dans la noticeUniversité ou école supérieure
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Kafrelsheikh University Kafrelsheikh University, Égypte (code pays fourni par la source)Université ou école supérieure
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Guangdong Key Laboratory of Animal Conservation and Resource Utilization pays non établi dans la noticeStructure de recherche
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University of Turbat (KECH) Department of Natural and Basic Sciences pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Agriculture Plant Pathology and Biotechnology Lab Kafr-El-Sheikh, Égypte (pays nommé en fin d’affiliation)Université ou école supérieure
Guangdong Academy of Agricultural Sciences, Institute of Zoology et Department of Zoology — University of Lahore, avec 6 autres affiliations. Pays d’affiliation : Égypte.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.