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Integration of Remote Sensing and GIS for Optimal Site Selection of Dams in Arid to Semi-Arid Environments: A Case Study of the Rheraya Basin and Enhancement of the Empirical Model With the Curve Number Model

Integration of Remote Sensing and GIS for Optimal Site Selection of Dams in Arid to Semi-Arid Environments: A Case Study of the Rheraya Basin and Enhancement of the Empirical Model With the Curve Number Model
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Author(s): Fatima Ezzahra El Ghazali (Cadi Ayyad University, Marrakech, Morocco)and Abdellah Khouz (Higher School of Technology Essaouira, Cadi Ayyad University, Marrakech, Morocco)
Copyright: 2025
Pages: 30
Source title: Remote Sensing and GIS Techniques in Hydrology
Source Author(s)/Editor(s): Mouhcine Batchi (University of Ibn Tofail, Morocco)and Adil Moumane (University of Ibn Tofail, Morocco)
DOI: 10.4018/979-8-3693-9651-3.ch006

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Abstract

This chapter is dedicated to presenting the optimization method employed, which primarily utilizes the functionalities provided by GIS (geographic information systems) and remote sensing for data structuring, cross-referencing information layers, and spatial analysis across various themes. It incorporates a multicriteria hierarchical analysis approach, enabling the integration of multiple decision criteria into a unified model. This approach involves conducting comparative evaluations of each pair of criteria and calculating their weights for the comparative assessment of each pair of options concerning each sub-criterion. Both methods employed showcase a robust multicriteria decision support tool. It is noteworthy that ensuring the validity of the SCS-CN procedure necessitates the incorporation of other supply models to enhance the accuracy of determining suitable locations for water accumulation structures.

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