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GIS-Based Multi-Criteria Decision Analysis Approach (GIS-MCDA) for investigating mass movements’ hazard susceptibility along the first section of the Algerian North-South Highway
Arabian Journal of Geosciences ( IF 1.827 ) Pub Date : 2021-05-11 , DOI: 10.1007/s12517-021-07124-0
Abdeldjalil Goumrasa , Mostefa Guendouz , Mohamed Said Guettouche

The North-South highway is a central axis of the Algerian road network. This major project is expected to enhance the socio-economic development of Algeria. However, its first section is implemented within a complex region with very contrasted landscapes marked by mass movements. In the present work, we conducted a mass movement susceptibility assessment on the first section of the road infrastructure using a Multi-Criteria Decision Analysis approach. Various data from different sources were processed in a GIS environment, and nine landslide and rockfall conditioning factors were considered: Lithology, Slope, Daily Temperature Amplitude, Rainfall, Lineament Density, NDVI, Relative Relief, Drainage Density, and Distance to Streams. Each of the conditioning factors was selected, reclassified, and ranked according to its influence on each mass movement type. Two popular GIS-MCDA methods, namely AHP and WLC, were used to weight the influence and combine the selected factors and construct the landslide and rockfall assessment models. Then, landslide and rockfall susceptibility indices were calculated and used to produce mass movement susceptibility maps of the study area. Finally, a spatial analysis was performed to assess the highway section’s susceptibility to the two mass movements. The results show that 22.49% and 12.44% of the road section are highly susceptible to landslide and rockfall hazards, respectively. Finally, the combination of the resulting map with the road chainage enabled the delineation of segments highly susceptible to landslide and rockfall hazards by kilometric points.



中文翻译:

基于GIS的多准则决策分析方法(GIS-MCDA),用于调查阿尔及利亚南北公路第一段的群众运动危险易感性

南北公路是阿尔及利亚公路网的中心轴。预期这一重大项目将促进阿尔及利亚的社会经济发展。但是,其第一部分是在复杂区域内实现的,该区域具有以群众运动为特征的鲜明对比的景观。在当前的工作中,我们使用多准则决策分析方法对道路基础设施的第一部分进行了群众运动敏感性评估。在GIS环境中处理了来自不同来源的各种数据,并考虑了9个滑坡和崩塌调节因素:岩性,坡度,每日温度幅值,降雨,线质密度,NDVI,相对释放量,排水密度和溪流距离。选择,重新分类每个条件因素,并根据其对每种大众运动类型的影响进行排名。两种常用的GIS-MCDA方法,即AHP和WLC,被用来加权影响力并结合所选因素,并构建了滑坡和崩塌评估模型。然后,计算滑坡和落石敏感性指数,并将其用于生成研究区域的质量运动敏感性图。最后,进行了空间分析,以评估高速公路路段对两种质量运动的敏感性。结果表明,分别有22.49%和12.44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。分别使用AHP和WLC加权影响,并结合选定的因素,构建滑坡和崩塌评估模型。然后,计算滑坡和落石敏感性指数,并将其用于生成研究区域的质量运动敏感性图。最后,进行了空间分析,以评估高速公路路段对两种质量运动的敏感性。结果表明,分别有22.49%和12.44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。分别使用AHP和WLC加权影响,并结合选定的因素,构建滑坡和崩塌评估模型。然后,计算滑坡和落石敏感性指数,并将其用于生成研究区域的质量运动敏感性图。最后,进行了空间分析,以评估高速公路路段对两种质量运动的敏感性。结果表明,分别有22.49%和12.44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。计算了滑坡和落石敏感性指数,并将其用于生成研究区域的质量运动敏感性图。最后,进行了空间分析,以评估高速公路路段对两种质量运动的敏感性。结果表明,分别有22.49%和12.44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。计算了滑坡和落石敏感性指数,并将其用于生成研究区域的质量运动敏感性图。最后,进行了空间分析,以评估高速公路路段对两种质量运动的敏感性。结果表明,分别有22.49%和12.44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。分别有44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。分别有44%的路段极易遭受滑坡和崩塌的危害。最后,将生成的地图与道路里程相结合,可以按公里数描绘出高度易受滑坡和崩塌危险影响的路段。

更新日期:2021-05-11
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