Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

Flooding is considered as the most dangerous natural catastrophe in the world. This paper develops a spatial multi-criteria decision production prototype for the evaluation of flooding susceptibility for the city of Tunis. Eight criterions were considered in order to identify and assess the spatial...

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Bibliographic Details
Published inArabian journal of geosciences Vol. 12; no. 21; pp. 1 - 16
Main Authors Hammami, Salma, Zouhri, Lahcen, Souissi, Dhekra, Souei, Ali, Zghibi, Adel, Marzougui, Amira, Dlala, Mahmoud
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2019
Springer Nature B.V
Springer
Subjects
Analytic hierarchy process
Decision analysis
Earth and Environmental Science
Earth science
Earth Sciences
Evaluation
Flood control
Flood hazards
Flood management
Flood mapping
Flooding
Floods
Geographic information systems
Geographical information systems
Information systems
Multiple criterion
Prototypes
Review Paper
Sciences of the Universe
Sensitivity analysis
Spatial distribution
Arc-GIS
AHP
Sensitivity analysis
Multi-criteria decision
Tunisia
Flood susceptibility
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Summary:Flooding is considered as the most dangerous natural catastrophe in the world. This paper develops a spatial multi-criteria decision production prototype for the evaluation of flooding susceptibility for the city of Tunis. Eight criterions were considered in order to identify and assess the spatial distribution of hazardous zones and were integrated in the Geographical Information System (ArcGIS). The analytical hierarchy process (AHP) is a mathematical technique for flood hazard modeling and decision support based on the weight and rank of each flood factor in order to calculate Flood Hazard Index (FHI) to generate a flood susceptibility map. This was classified from very low to very high classes flood potential. Five classes are observed: 2.85% (very low), 7.5% (low), 17.95% (moderate), 20.63% (high), and 51.06% (very high). FHI was coupled with a sensitivity analysis to derive the Flood Hazard Index with sensitivity (FHIS). This index evaluates the effect of each criteria which allows for better assessment of the role of each parameter in flood susceptibility. The results of this study provide a basis to limit the impacts of flood and protect urban zone against inundation.
ISSN:1866-7511
1866-7538
DOI:10.1007/s12517-019-4754-9