Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria
Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria
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DOI：
10.1016/j.quaint.2012.11.027
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发表时间：
2013-07
影响因子：
2.2
通讯作者：
R. Hadji;A. Boumazbeur;Yacine Limani;Mustapha Baghem;Abdelmadjid Chouabi;A. Demdoum
中科院分区：
文献类型：
--
作者：
R. Hadji;A. Boumazbeur;Yacine Limani;Mustapha Baghem;Abdelmadjid Chouabi;A. Demdoum
滑坡是阿尔及利亚东北部山区最常见的灾害。在这项研究中，苏克阿赫拉斯省的滑坡灾害区划进行了基于栅格的地理信息系统和统计处理。滑坡的位置是根据航空照片和实地调查的解释确定的。旋转，平面和复杂的滑坡被确定。为了揭示滑坡的控制因素，603识别滑坡（1981-2011年）的时间分布与月降水量的变化进行了比较，表明降水和滑坡发生之间有很强的相关性。滑坡与岩性、坡角、高程的相关性也显示出相同的结果。对表格数据、地图和卫星图像进行了收集、处理，并在地理信息系统平台上建立了一个空间数据库。影响滑坡发生的因素，如坡度角，斜坡曝光和海拔来自DEM;岩性，土壤沉积物和断层数字化的地质图;道路，河流和木材提取的Landsat图像;降水量克里格从雨量测量数据集。分配了不同类别的专题层。对GIS中的每个数据层生成相应的评价值作为属性信息和属性图。滑坡危险区进行了评估和绘图使用滑坡发生和永久因素地图，通过应用概率方法与逻辑回归方法。利用滑坡位置图对分析结果进行了验证，并与概率模型进行了比较。由此产生的地图可用于减轻这种危害，并规划土地使用和城市化。
Landslides are the most common hazard in mountainous regions of northeast Algeria. In this study, landslide hazard zonation of Souk Ahras province was carried out using a Raster-based GIS and statistical processing. Landslide locations were defined from interpretation of aerial photographs and field surveys. Rotational, planar and complex landslides were identified. To reveal the controlling factors of landslides, a temporal distribution of 603 recognized landslides (1981–2011) is compared with the monthly precipitation variation, indicating a strong correlation between precipitation and landslide occurrence. The correlation between landslide and lithology, slope angle, and elevation shows the same results. Tabular data, maps and satellite images were collected, processed, and constructed into a spatial database in a GIS platform. The factors that influence landslide occurrence, such as slope angle, slope exposition and elevation were derived from the DEM; Lithology, soil deposits and faults were digitalized from the geologic maps; roads, streams and timber were extracted from Landsat image; precipitation was krigged from pluviometric measurement dataset. Different classes of thematic layers were assigned. A corresponding rating value as attribute information and an attribute map was generated for each data layer in the GIS. Landslide hazard areas were assessed and mapped using the landslide occurrence and permanent factor maps, by applying a probabilistic method with a logistic regression approach. The results of the analysis were verified using landslides location map, compared with the probability model. The resulting map can be used to mitigate this hazard, and to plan land use and urbanization.