Efficiency of Fuzzy Analytic Hierarchy Process to detect soil erosion vulnerability

Autor: Imane Haidara, Mohamed Maanan, Meryem Tahri, Mustapha Hakdaoui
Přispěvatelé: Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Geoderma
Geoderma, Elsevier, 2019, 354, pp.113853. ⟨10.1016/j.geoderma.2019.07.011⟩
ISSN: 0016-7061
1872-6259
Popis: Erosion of soil and land degradation is a worldwide phenomenon caused by natural occurrence and which is accelerated by climate change. This study evaluated soil erosion vulnerability using the Fuzzy Analytical Hierarchy Process (FAHP) multi-criteria method and Geographical Information System (GIS). Six criteria were used to create the soil erosion cartography: rainfall, land cover, soil classification, slope gradient, drainage density, and land use. This method calculated the corresponding criteria weights on the feedback of several studies, and research, which may be used to determine the effectiveness in controlling soil erosion around the world. Our results highlighted the variability of erosion and clearly identified the areas at risk. Five degrees of erosion were noted: very slight erosion and slight erosion located in the south of the study site, moderate erosion present throughout the catchment area, high as well as very high erosion situated in the north of the catchment area.
Databáze: OpenAIRE