GIS-based landslide susceptibility mapping in the Safi region, West Morocco

被引:17
|
作者
Boualla, Othmane [1 ]
Mehdi, Khalid [1 ]
Fadili, Ahmed [1 ]
Makan, Abdelhadi [2 ]
Zourarah, Bendahhou [1 ]
机构
[1] Chouaib Doukkali Univ, Marine Geosci & Soil Sci Lab, Res Unit Associated CNRST 45, Dept Geol,Fac Sci, BP 20, El Jadida 24000, Morocco
[2] Univ Mohamed 1st, Natl Sch Appl Sci ENSAH, Team Water & Environm Management G2E, Al Hoceima 32003, Morocco
关键词
Landslide inventory; Susceptibility map; GIS matrix method; Geomorphology; Safi; W Morocco; SHALLOW LANDSLIDE; RAINFALL INTENSITY; HAZARD; MAPS; AREA; ENVIRONMENT; VALIDATION; VORARLBERG; GEOHAZARDS; SUBSIDENCE;
D O I
10.1007/s10064-017-1217-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aims to establish susceptibility maps for the Moroccan Safi region, which is affected by karstification processes. This process is the predisposing factor for various landslide types such as debris flows and rock falls. In the first phase of this study, a landslide inventory was prepared by geomorphological approach based on visual interpretation of aerial photographs combined with direct observations in the field. The obtained inventory included 234 landslides: 14 rock slides and 75 debris flows in Brown Clay Formation, 74 rock falls in sandstone and 71 rock topples in Dridrat Limestone Formations. The inventory map showed that landslide phenomena occur mainly in the northwest and along the active coastal cliffs in the south of Safi. In the second phase, four landslide susceptibility maps were realized using the bivariate statistical method of Geographical Information System (GIS) matrix method (GMM). The established landslide susceptibility maps were validated by the degree of fit method. Obtained results showed that landslide phenomenon occurs mainly in the northwest and along the coastal cliffs in the south of the study area. Moreover, very high and high susceptibility levels were limited to the area including industrial and touristic activities as well as historical monuments. Overall, landslides were associated to karstification, lithology, karstic rocks and karstic spring presence, which are considered as predisposing and causal factors.
引用
收藏
页码:2009 / 2026
页数:18
相关论文
共 50 条
  • [31] GIS-based landslide susceptibility mapping of the Meghalaya-Shillong Plateau region using machine learning algorithms
    Navdeep Agrawal
    Jagabandhu Dixit
    Bulletin of Engineering Geology and the Environment, 2023, 82
  • [32] GIS-Based Approaches for the Landslide Susceptibility Prediction in Setif Region (NE Algeria)
    Karim, Zighmi
    Hadji, Riheb
    Hamed, Younes
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2019, 37 (01) : 359 - 374
  • [33] Landslide susceptibility mapping using GIS-based logistic regression: The city Al Hoceima and its suburbs (Morocco) case study
    Byou, Taoufik
    GEOGRAFICKY CASOPIS-GEOGRAPHICAL JOURNAL, 2024, 76 (02): : 165 - 179
  • [34] An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox
    Polat, Ali
    ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (06)
  • [35] An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox
    Ali Polat
    Environmental Earth Sciences, 2021, 80
  • [36] Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping
    Bakhtiar Feizizadeh
    Majid Shadman Roodposhti
    Thomas Blaschke
    Jagannath Aryal
    Arabian Journal of Geosciences, 2017, 10
  • [37] GIS-based assessment of landslide susceptibility and inventory mapping using difeferent bivariate models
    Akter, Sonia
    Javed, Syed Aaqib
    GEOCARTO INTERNATIONAL, 2022, 37 (26) : 12913 - 12942
  • [38] A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping
    Feizizadeh, Bakhtiar
    Roodposhti, Majid Shadman
    Jankowski, Piotr
    Blaschke, Thomas
    COMPUTERS & GEOSCIENCES, 2014, 73 : 208 - 221
  • [39] Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping
    Feizizadeh, Bakhtiar
    Roodposhti, Majid Shadman
    Blaschke, Thomas
    Aryal, Jagannath
    ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (05)
  • [40] Comparison of GIS-based methodologies for the landslide susceptibility assessment
    Magliulo, Paolo
    Di Lisio, Antonio
    Russo, Filippo
    GEOINFORMATICA, 2009, 13 (03) : 253 - 265