GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco)

被引:122
作者
El Jazouli, Aafaf [1 ]
Barakat, Ahmed [1 ]
Khellouk, Rida [1 ]
机构
[1] Sultan My Slimane Univ, Fac Sci & Tech, Georessources & Environm Lab, Beni Mellal, Morocco
关键词
Oum Er Rbia high basin; Landslide susceptibility; GIS; AHP; Weighted overlay method; Validation AUC; ANALYTICAL HIERARCHY PROCESS; LOGISTIC-REGRESSION; HAZARD; PREDICTION; BIVARIATE; TURKEY; ISLAND; AREA;
D O I
10.1186/s40677-019-0119-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BackgroundHigh basin of Oum Er Rbia River, which is located in Middle Atlas Mountain region, is prone to landslide problems due to the geological features combined with the climate change and human activities. The present work including inventory mapping was conducted to establish landslide susceptibility map using GIS-based spatial multicriteria approach. Eight landslide-related factors, including land cover, lithology, distance to road, distance to fault, distance to drainage network, elevation, aspect and slope gradient, were selected for the present assessment. Weight for each factor is assigned using Analytic Hierarchy Process (AHP) depending on its influence on the landslide occurrence. The landslide susceptibility map was derived using weighted overlay method and categorized into five susceptible classes namely, very low (VL), low (L), moderate (M), high (H).ResultThe results revealed that 30.16% of the study area is at very low risk, 12.66% at low risk, 25.75% of moderate risk, 22.59% of high risk and 9.11% of very high risk area coverage. The very high landslide vulnerability zones are more common within the river valleys on steep side slopes. Most landslides also involve rocks belonging to the Triassic weathered marl and clay-rich formation. Moreover, human activities namely the construction and the expansion of agricultural lands into forests intervene in inducing landslides through altering the slope stability along the river banks. Lastly, effectiveness of these results was checked by computing the area under ROC curve (AUC) that showed a satisfactory result of 76.7%.ConclusionsThe landslide susceptibility map of the Oum Er Rbia high basin provides valuable information about present and future landslides, which makes it viable. Such map may be helpful for planners and decision makers for land-use planning and slope management.
引用
收藏
页数:12
相关论文
共 45 条
  • [1] Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis
    Akgun, Aykut
    Turk, Necdet
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2010, 61 (03) : 595 - 611
  • [2] Althuwaynee O.F., 2016, GEOMATICS NATURAL HA, V8, P1
  • [3] [Anonymous], 1999, Bulletin of Engineering Geology and the Environment, DOI [DOI 10.1007/S100640050066&GT
  • [4] .1435-9529, 10.1007/s100640050066, DOI 10.1007/S100640050066]
  • [5] Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications
    Ayalew, L
    Yamagishi, H
    Marui, H
    Kanno, T
    [J]. ENGINEERING GEOLOGY, 2005, 81 (04) : 432 - 445
  • [6] Multivariate analysis and GIS-based soil suitability diagnosis for sustainable intensive agriculture in Beni-Moussa irrigated subperimeter (Tadla plain, Morocco)
    Barakat A.
    Ennaji W.
    El Jazouli A.
    Amediaz R.
    Touhami F.
    [J]. Modeling Earth Systems and Environment, 2017, 3 (1)
  • [7] Physicochemical and microbial assessment of spring water quality for drinking supply in Piedmont of Beni-Mellal Atlas (Morocco)
    Barakat, Ahmed
    Meddah, Redouane
    Afdali, Mustapha
    Touhami, Fatima
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2018, 104 : 39 - 46
  • [8] Barredo J.I., 2000, INT J APPL EARTH OBS, V2, P9, DOI 10.1016/S0303-2434(00)85022-9
  • [9] Benzougagh B, 2017, INT J INNOV APPL STU, V19, P85
  • [10] Use of GIS technology in the prediction and monitoring of landslide hazard
    Carrara, A
    Guzzetti, F
    Cardinali, M
    Reichenbach, P
    [J]. NATURAL HAZARDS, 1999, 20 (2-3) : 117 - 135