Identification of Flood Hazard Zones in Afghanistan Using Gis and Multi-Criteria Decision Approach

dc.contributor.author Tani, H.
dc.contributor.author Tayfur, G.
dc.date.accessioned 2024-10-25T23:18:41Z
dc.date.available 2024-10-25T23:18:41Z
dc.date.issued 2024
dc.description.abstract This study assessed Afghanistan’s potential flood hazard zones using the geographic information systems (GIS) and the analytical hierarchy process (AHP). Six different thematic layers were selected, and the AHP was applied to estimate the influence weights of each parameter. The final flood hazard zones map (FHZM) was reclassified into five zones. Sensitivity analysis was employed to create the flood hazard sensitivity map (FHSM) based on ‘effective weights’. It was found that the land use land cover (LULC) and rainfall are less sensitive compared to the other parameters. The FHZM and FHSM comparatively indicate the same regions regarding flood hazard levels. The methodology was tested against the recorded flood events in the region. The results showed that about 44% of the study area is under low and very low flood hazards, whereas 56% is subjected to high and very high. Low-lying areas are highly prone to flooding. Copyright © 2024 Inderscience Enterprises Ltd. en_US
dc.identifier.doi 10.1504/IJHST.2024.142018
dc.identifier.issn 2042-7808
dc.identifier.issn 2042-7816
dc.identifier.scopus 2-s2.0-85206481016
dc.identifier.uri https://doi.org/10.1504/IJHST.2024.142018
dc.identifier.uri https://hdl.handle.net/11147/14857
dc.language.iso en en_US
dc.publisher Inderscience Publishers en_US
dc.relation.ispartof International Journal of Hydrology Science and Technology en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Afghanistan en_US
dc.subject AHP en_US
dc.subject analytical hierarchy process en_US
dc.subject flood hazard en_US
dc.subject flood prone regions en_US
dc.subject geographic information systems en_US
dc.subject GIS en_US
dc.subject sensitivity analysis en_US
dc.title Identification of Flood Hazard Zones in Afghanistan Using Gis and Multi-Criteria Decision Approach en_US
dc.type Article en_US
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gdc.description.department Izmir Institute of Technology en_US
gdc.description.departmenttemp Tani H., Department Civil Engineering, Izmir Institute of Technology, Izmir, Turkey; Tayfur G., Department Civil Engineering, Izmir Institute of Technology, Izmir, Turkey en_US
gdc.description.endpage 392 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 368 en_US
gdc.description.volume 18 en_US
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