Lamri Dahoua, Viatcheslav Yakovitch Savenko, R. Hadji
{"title":"GIS-based technic for roadside-slope stability assessment: an bivariate approach for A1 East-West highway, North Algeria","authors":"Lamri Dahoua, Viatcheslav Yakovitch Savenko, R. Hadji","doi":"10.5277/MSC172407","DOIUrl":null,"url":null,"abstract":"This paper presents a GIS-based method for landslide susceptibility (LS) assessment using slope-movement inventory and field data. The study has been carried out along A1-Highway (A1-H) in Hanif region as this road section is threated by several types of mass wasting. This hilly zone is known by their landslides sensitive terrains in the North of Algeria. The terrain data are collected from a Géologic map, satellite imageries, digital elevation model, rainfall data, field suveys and ancillary data. In this paper Frequency Ratios (FR) based on bivariate statistical method are evaluated by comparing the observed landslides to their controlling factors. The product of the linear summation of the FR values was a landslide susceptibility index (LSI) map. It was categorized using the natural breaks classification method. The resultant LS zonation map delineates the area into five hierarchic zones. The results confirms that the angle of the slope, plays the most role in wasting especially in road sides. The LS can be used for preliminary land use planning and hazard mitigation purpose. By means of this map the current route of the A1-H can be improved to cross less susceptibles zones.","PeriodicalId":43629,"journal":{"name":"Mining Science","volume":"33 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mining Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5277/MSC172407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 29
Abstract
This paper presents a GIS-based method for landslide susceptibility (LS) assessment using slope-movement inventory and field data. The study has been carried out along A1-Highway (A1-H) in Hanif region as this road section is threated by several types of mass wasting. This hilly zone is known by their landslides sensitive terrains in the North of Algeria. The terrain data are collected from a Géologic map, satellite imageries, digital elevation model, rainfall data, field suveys and ancillary data. In this paper Frequency Ratios (FR) based on bivariate statistical method are evaluated by comparing the observed landslides to their controlling factors. The product of the linear summation of the FR values was a landslide susceptibility index (LSI) map. It was categorized using the natural breaks classification method. The resultant LS zonation map delineates the area into five hierarchic zones. The results confirms that the angle of the slope, plays the most role in wasting especially in road sides. The LS can be used for preliminary land use planning and hazard mitigation purpose. By means of this map the current route of the A1-H can be improved to cross less susceptibles zones.
期刊介绍:
Mining Scince. Scientific Papers of the Department Geoengineering, Mining and Geology of the Wroclaw University of Technology. The journal publishes original papers on mining and geology, geo-engineering and the related issues. The journal is devoted to the following topics: fundamental research in mining, underground and open-cast mining technologies, blasting technology, design and construction of mines, geomechanics and geotechnical engineering, mine ventilation, fluid mechanics and its application in mining, mining machinery and condition monitoring, mineral processing, environmental protection and waste utilization. The journal also accepts papers concerns geoengineering which is a sciences covering mining construction, geotechnical engineering, GIS, and earth sciences.