2021
DOI: 10.32996/jeas.2021.2.1.2
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Application of The Hierarchical Multicriteria Analysis Method to The Study of Water Erosion (South of Azilal, Morocco)

Abstract: This study aims to apply the process of the analytical hierarchy in geographic information system to the study of water erosion in the southern part of the Azilal region, Morocco. This method is an important tool to be used in the planning and management of natural risks; it has allowed us to obtain a multi-factorial sensitivity map to water erosion. This sensitivity map of erosive soil conditions in the study area shows that 6% of the area is (less) exposed to erosion risk while 85% of the mapped area is mode… Show more

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“…A dataset of erosion rate measurements in Morocco was collected from thesis, scientific articles and conference paper published in international journals between 1970 (Heusch, 1970) when the first studies of soil erosion started till date 2021 (Elmalki et al, 2021;Farah et al, 2021bFarah et al, , 2021aLabbaci et al, 2021;M'Barek et al, 2021;Tahouri et al, 2021;Tairi et al, 2021;Taleb et al, 2021;Eloudi et al, 2021;Acharki et al, 2022) and were collected, classified and evaluated. This research was performed on "Science direct", "Springer", "Google", "Google scholar", "Researchgate" and academic libraries.…”
Section: Data Collection Using Meta-analysismentioning
confidence: 99%
“…A dataset of erosion rate measurements in Morocco was collected from thesis, scientific articles and conference paper published in international journals between 1970 (Heusch, 1970) when the first studies of soil erosion started till date 2021 (Elmalki et al, 2021;Farah et al, 2021bFarah et al, , 2021aLabbaci et al, 2021;M'Barek et al, 2021;Tahouri et al, 2021;Tairi et al, 2021;Taleb et al, 2021;Eloudi et al, 2021;Acharki et al, 2022) and were collected, classified and evaluated. This research was performed on "Science direct", "Springer", "Google", "Google scholar", "Researchgate" and academic libraries.…”
Section: Data Collection Using Meta-analysismentioning
confidence: 99%