Abstract
Abstract. Landslide hazard is one of the major environmental hazards in the coastal area. For helping the planners in selection of suitable locations to implement development projects, a landslide hazard zonation map has been produced for the coastal area of Safi (Morocco) as part of coastal Meseta. For this purpose, after preparation of a landslide inventory of the study area, some major parameters were examined for integrated analysis of landslide hazard in the region. The analyses of parameters were done by geo-referencing and lateral model making, satellite imaging of the study area, and spatial analyses by using geographical information system (GIS). The produced factor maps were weighted with analytic hierarchy process (AHP) method and then classified. The study area was classified into four classes of relative landslide hazards: negligible, low, moderate, and high. The final produced map for landslide hazard zonation in coastal area revealed that: the parameters of slope, geologic formation and fracturation have strong correlation and predict 75% of existing instabilities.
Highlights
Landslide are belonging to the most damaging natural hazards
The assessments of landslide hazard and susceptibility are the relative spatial probability of a new landslide occurring in the future (Remondo et al, 2003), and their assessment in a given area should normally be based on the analysis of instability factors
The rainiest month is November and the driest month is August. This area belongs to the mesetian domain characterized by Meso-Cenozoic tabular formations deposited on the Paleozoic basement (Roch 1950; Gigout 1951; Michard 1976; Saaidi 1988; Witam 1988; Ouadia 1998)
Summary
Landslide are belonging to the most damaging natural hazards. Preventing damage requires a reliable predictive inventory of the dynamic processes and the implementation of risk maps, necessary as base for any development. The AHP method is used to determine the weights of various themes for identifying the landslide area based on weights assignment and normalization with respect to the relative contribution of the different themes to landslide occurrence for classified into four categories low, medium, high and very high potential zone identify through integration of various thematic maps with GIS techniques (Jhariya et al , 2016). The weights of each factor were computed statistically using multi-influencing factor technique followed by heuristic approaches driven method for assigning ranks to each sub-classes of factor maps at resulted for AHP model. In this context, multi-criteria decision making (MCDM) is rather a simple, effective and reliable technique for AHP process for the identification of landslide hazards areas. For analysis result to different of thematic layers, namely, geomorphology, geology, soil type, slope, and land use/land cover, are prepared using satellite imageries, topographic maps, and secondary data set, and integrated with weighted overlay in GIS to generated landslide zonation map
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