GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria)
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  • 作者:Hamid Bourenane ; Youcef Bouhadad…
  • 关键词:Landslide susceptibility zonation ; GIS ; Expert ; based ; Bivariate statistics ; Algeria
  • 刊名:Bulletin of Engineering Geology and the Environment
  • 出版年:2015
  • 出版时间:May 2015
  • 年:2015
  • 卷:74
  • 期:2
  • 页码:337-355
  • 全文大小:10,226 KB
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  • 作者单位:Hamid Bourenane (1) (2)
    Youcef Bouhadad (1) (2)
    Mohamed Said Guettouche (2)
    Massinissa Braham (1) (2)

    1. CGS, National Center of Applied Research in Earthquake Engineering, 1 Rue Kadour Rahim, Hussein Dey, Algiers, Algeria
    2. FSTGAT, University of Sciences and Technology Houari Boumerdiene Bab Ezzouar (USTHB), El Alia, Algiers, Algeria
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Applied Geosciences
    Structural Foundations and Hydraulic Engineering
    Geoecology and Natural Processes
    Nature Conservation
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1435-9537
文摘
The city of Constantine has suffered frequent landslides during the last few decades because of its geological, geomorphological, climatic and seismotectonic setting as well as anthropic activities. In this work we perform a landslide susceptibility zonation (LSZ) zonation by using bivariate statistical and expert approaches in GIS technology for this area. Firstly, a landslide inventory map was constructed from interpretation of aerial photographs, high resolution satellite images, field surveys and bibliographies. Then various causal factors such as lithology, slope, aspect, precipitation, land use, distance to streams, distance to faults and anthropogenic factors like distance to roads associated with landslide activity were considered and the corresponding thematic layers generated using GIS techniques. The relative importance of these layers in causing landslides has been evaluated using bivariate statistics and expert methods to generate LSZ maps. The expert-based method provided a subjective classification of the study area in terms of landslide susceptibility which does not completely fit the landslide field survey. However unlikely, the bivariate statistics-based method provided the most satisfying results and appears to be the most accurate. Indeed, results show that 27.2?% of the study area lies within a very high to high susceptibility zone that encompasses 73.64?% of the existing landslides. Moderate, low and very low susceptibility zones cover, respectively, 25.7, 21.7 and 25.4?% of the study area. The LSZ maps generated may serve as useful tools for land management and planning in the Constantine region.

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