Abstract
Landslides are the most destructive natural hazard in mountainous regions of the NE of Algeria. They threaten many roads and facilities. This phenomenon is difficult to predict, although landslides could be managed and so its hazard can be reduced. Its assessment can be accomplished by providing managers with accurate information about landslide occurrence.
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Achour Y, Boumezbeur A, Hadji R, Chouabbi A, Cavaleiro V, Bendaoud EA. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria. Arab J Geosci. 2017;10(8):194.
Boroumandi M, Khamehchiyan M, Nikoudel MR. Using of analytic hierarchy process for landslide hazard zonation in Zanjan Province, Iran. In Engineering Geology for Society and Territory, Vol. 2. Cham: Springer; 2015. p. 951–55.
Bui DT, Bui QT, Nguyen QP, Pradhan B, Nampak H, Trinh PT. A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area. Agric For Meteorol. 2017;233:32–44.
Dai FC, Lee CF, Ngai Y. Landslide risk assessment and management: an overview. Eng Geol. 2002;64(1):65–87.
Hadji R, Chouabi A, Gadri L, Raïs K, Hamed Y, Boumazbeur A. Application of linear indexing model and GIS techniques for the slope movement susceptibility modeling in Bousselam upstream basin, Northeast Algeria. Arab J Geosci. 2016;9:192.
Hadji R, Raïs K, Gadri L, Chouabi A, Hamed Y. Slope failures characteristics and slope movement susceptibility assessment using GIS in a medium scale: a case study from Ouled Driss and Machroha municipalities, Northeastern of Algeria. Arab J Sci Eng Arab J Sci Eng. 2017;42:281–300.
Kayastha P, Dhital MR, De Smedt F. Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal. Comput Geosci. 2013;52:398–408.
Marjanović M, Kovačević M, Bajat B, Voženílek V. Landslide susceptibility assessment using SVM machine learning algorithm. Eng Geol. 2011;123(3):225–34.
Pradhan B, Jebur MN, Shafri HZM, Tehrany MS. Data fusion technique using wavelet transform and taguchi methods for automatic landslide detection from airborne laser scanning data and quickbird satellite imagery. IEEE Trans Geosci Remote Sens. 2016;54(3):1610–22.
Saaty TL. The analytic hierarchy process: planning, priority setting and resource allocation. New York: McGraw-Hill; 1980.
Shahabi H, Hashim M. Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment. Sci Rep. 2015;5:9899.
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Dahoua, L., Yakovitch, S.V., Hadji, R., Farid, Z. (2018). Landslide Susceptibility Mapping Using Analytic Hierarchy Process Method in BBA-Bouira Region, Case Study of East-West Highway, NE Algeria. In: Kallel, A., Ksibi, M., Ben Dhia, H., Khélifi, N. (eds) Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions. EMCEI 2017. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-319-70548-4_532
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DOI: https://doi.org/10.1007/978-3-319-70548-4_532
Publisher Name: Springer, Cham
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