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A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia

A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia
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Author(s): Salwa Saidi (Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia & Water Energy and Environment Laboratory, ENI-Sfax, Tunisia), Anis Ghattassi (Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia), Samar Zaggouri (Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia)and Ahmed Ezzine (National Center of Cartography and Remote Sensing, Tunis, Tunisia)
Copyright: 2021
Pages: 19
Source title: Interdisciplinary Approaches to Spatial Optimization Issues
Source Author(s)/Editor(s): Sami Faiz (University of Tunis El Manar, Tunis, Tunisia)and Soumaya Elhosni (University of Tunis El Manar, Tunis, Tunisia)
DOI: 10.4018/978-1-7998-1954-7.ch001

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Abstract

In the context of global warming, it is very critical to delineate areas of high flood vulnerability and risk. Climate and hydrologic surveying using traditional methods is not always available and depends on external factors. So, the use of geographical information system and remote sensing is of high importance as a decision support system. This approach is of low cost and can cover a long period for surveying. This study aims to provide decision makers a framework of GIS based on multicriteria analysis for flood risk mapping. Classified remote sensing image layers are used to complete GIS-multicriteria results. Results show that the high to very high-risk levels affect the majority of the study area, particularly the south-west and north-east zones. The comparison between GIS and remote sensing approaches shows the same areas of risk and reveals that it is a reliable methodology that greatly enhances decision making.

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