{"title":"Assessing landslide susceptibility, analyzing and ranking causes. Case study of the northeastern region of Bouira-Djebahia, Algeria","authors":"Naima Dilmi, H. Boutabba","doi":"10.2298/gsgd2301157d","DOIUrl":null,"url":null,"abstract":"This study aims to use Sig-Ahm integration to assess the susceptibility to land-slide risk in the municipality of Djebahia, located in the northwest of the province of Bouira (central Algeria). Using spatial data, this work is also intended to study the main factors that cause the risk of landslides in the study area. Five factors were considered in this research: slope, appearance, altitude, land use and vegetation cover, and drainage. These factors are weighted and ranked using the AHP method to generate a final map that represents the susceptibility of the study area to landslides. The map shows results at four levels, from very low to very high susceptibility.","PeriodicalId":35518,"journal":{"name":"Glasnik - Srpskog Geografskog Drustva","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Glasnik - Srpskog Geografskog Drustva","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2298/gsgd2301157d","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to use Sig-Ahm integration to assess the susceptibility to land-slide risk in the municipality of Djebahia, located in the northwest of the province of Bouira (central Algeria). Using spatial data, this work is also intended to study the main factors that cause the risk of landslides in the study area. Five factors were considered in this research: slope, appearance, altitude, land use and vegetation cover, and drainage. These factors are weighted and ranked using the AHP method to generate a final map that represents the susceptibility of the study area to landslides. The map shows results at four levels, from very low to very high susceptibility.