Uatzau basin in northwestern Ethiopia is one of the most landslide-prone regions, which characterized by frequent high landslide occurrences causing damages in farmlands, non-cultivated lands, properties, and loss of life. Preparing a Landslide susceptibility mapping is imperative to manage the landslide hazard and reduce damages of properties and loss of lives. GIS-based frequency ratio, information value, and certainty factor methods were applied. The landslide inventory map was prepared from detailed fieldwork and Google Earth imagery interpretation. Thus, 514 landslides were mapped, and out of which 359 (70%) of landslides were randomly selected keeping their spatial distribution to build landslide susceptibility models, while the remaining 155 (30%) of the landslides were used to model validation. In this study, six factors, including lithology, land use/cover, distance to stream, slope gradient, slope aspect, and slope curvature were evaluated. The effects of the landslide factor of slope instability were determined by comparing with landslide inventory raster using the GIS environment. The landslide susceptibility maps of the Uatzau area were categorized into very low, low, moderate, high and very high susceptibility classes. The landslide susceptibility maps of the three models validated by the ROC curve. The results for the area under the curve (AUC) are 88.83% for the frequency ratio model, 87.03% for certainty factor, and 84.83% of information value models, which are indicating very good accuracy in the identification of landslide susceptibility zones of a region. From these resulted maps, it is possible to recommend, the statistical methods (Frequency Ratio, Information Value, and Certainty Factor Methods) are adequate to landslide susceptibility mapping. The landslide susceptibility maps can be used for regional land use planning and landslide hazard mitigation purposes.

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使用统计方法在埃塞俄比亚西北部Uatzau集水区绘制滑坡敏感性图

埃塞俄比亚西北部的Uatzau盆地是最易发生滑坡的地区之一，其特征是频繁发生的高滑坡事件导致农田，非耕地，财产和生命损失。必须准备滑坡敏感性图，以管理滑坡灾害并减少财产损失和生命损失。应用了基于GIS的频率比，信息值和确定性因子方法。滑坡清单图是通过详细的野外调查和Google Earth影像解释制作的。因此，绘制了514个滑坡，并从其中359个（70％）滑坡中随机选择，并保持其空间分布以建立滑坡敏感性模型，而其余155个（30％）滑坡用于模型验证。在这项研究中，有六个因素 包括岩性，土地利用/覆盖，到溪流的距离，坡度梯度，坡度和坡度曲率。通过使用GIS环境与滑坡清单栅格进行比较，确定了边坡失稳的滑坡因子的影响。Uatzau地区的滑坡敏感性图被分为非常低，低，中，高和非常高的敏感性等级。通过ROC曲线验证的三个模型的滑坡敏感性图。频率比率模型的曲线下面积（AUC）结果为88.83％，确定因子的结果为87.03％，信息价值模型的结果为84.83％，这表明该区域的滑坡敏感性区域识别具有非常好的准确性。根据这些结果图，可以推荐统计方法（频率比，信息价值和确定性因子方法）足以用于滑坡敏感性图。滑坡敏感性图可用于区域土地利用规划和减轻滑坡灾害的目的。