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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
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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 (Ibn Tofail University, 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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