The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
Abstract
Floods are considered as a major natural disaster due to their devastating effects that lead to socio-economic losses. The present study is an attempt to prepare a flood hazard susceptibility map of the Gabes region using ‘multi-criteria decision making – analytical hierarchy process’ model in geographic information system environment. Eight factors have been used in the flood modeling: elevation, land use/land cover, lithology, rainfall intensity, drainage density, distance from the drainage network, slope, and groundwater depth. The impact of each factor contributing in the flood risk was examined by weights using analytical hierarchy process method. The results obtained shows that the most prominent flood occurrence factor is the elevation (22.5%), around 15% of the total area is flooded and the flood hazard index is equal 6.30. The validation of results by a susceptibility zones histogram showed that 74.51% of the observed flood areas are mainly concentrated in a moderate to very high susceptibility zone.
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Cites
ANFIS: adaptive-network-based fuzzy inference system
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Decision making with the analytic hierarchy process
Saaty, T. L. (2008) · International Journal of Services Sciences · doi:10.1504/ijssci.2008.017590 · Cited by 10,301
How to Make a Decision: The Analytic Hierarchy Process
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Ayalew, L., & Yamagishi, H. (2005) · Geomorphology · doi:10.1016/j.geomorph.2004.06.010 · Cited by 1,913
Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.03.008 · Cited by 1,005
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Cited by
Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
Swain, K. C., Singha, C., & Nayak, L. (2020) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi9120720 · Cited by 273
Metadata
- Authors
- Souissi, D., Zouhri, L., Hammami, S., Msaddek, M. H., Zghibi, A., & Dlala, M.
- Venue
- Geocarto International
- Publisher
- Informa UK Limited
- Published
- 2019-06-14
- Volume
- 35
- Issue
- 9
- Pages
- 991-1017
- ISSN
- 1010-6049 (ISSN-L)
- 1752-0762
- OpenAlex
- W2909479795
- Cited by
- 317
- References
- 52
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Souissi, D., Zouhri, L., Hammami, S., Msaddek, M. H., Zghibi, A., & Dlala, M. (2020). GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia. Geocarto International. https://doi.org/10.1080/10106049.2019.1566405
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