当前位置: X-MOL 学术Geoenviron. Disasters › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Weights of evidence modeling for landslide susceptibility mapping of Kabi-Gebro locality, Gundomeskel area, Central Ethiopia
Geoenvironmental Disasters ( IF 3.8 ) Pub Date : 2021-02-27 , DOI: 10.1186/s40677-021-00177-z
Nega Getachew , Matebie Meten

Kabi-Gebro locality of Gundomeskel area is located within the Abay Basin at Dera District of North Shewa Zone in the Central highland of Ethiopia and it is about 320Km from Addis Ababa. This is characterized by undulating topography, intense rainfall, active erosion and highly cultivated area. Geologically, it comprises weathered sedimentary and volcanic rocks. Active landslides damaged the gravel road, houses and agricultural land. The main objective of this research is to prepare the landslide susceptibility map using GIS-based Weights of Evidence model. Based on detailed field assessment and Google Earth image interpretation, 514 landslides were identified and classified randomly into training landslides (80%) and validation landslides (20%). The most common types of landslides in the study area include earth slide (rotational and translational slide), debris slide, debris flow, rock fall, topple, rock slide, creep and complex. Nine landslide causative factors such as lithology, slope, aspect, curvature, land use/land cover, distance to stream, distance to lineament, distance to spring and rainfall were used to prepare a landslide susceptibility map of the study area by adding the weights of contrast values of these causative factors using a rater calculator of the spatial analyst tool in ArcGIS. The final landslide susceptibility map was reclassified as very low, low, moderate, high and very high susceptibility classes. This susceptibility map was validated using landslide density index and area under the curve (AUC). The result from this model validation showed a success rate and a validation rate accuracy of 82.4% and 83.4% respectively. Finally, implementing afforestation strategies on bare land, constructing surface drainage channels & ditches, providing engineering reinforcements such as gabion walls, retaining walls, anchors and bolts whenever necessary and prohibiting hazardous zones can be recommended in order to lessen the impact of landslides in this area.

中文翻译:

埃塞俄比亚中部Gundomeskel地区Kabi-Gebro地区滑坡敏感性图的证据建模权重

Gundomeskel地区的Kabi-Gebro地区位于埃塞俄比亚中部高地北部Shewa区Dera区的Abay盆地内,距亚的斯亚贝巴约320公里。其特征是起伏的地形,强烈的降雨,活跃的侵蚀和高耕地面积。从地质学上讲,它包括风化的沉积岩和火山岩。活跃的滑坡损坏了碎石路,房屋和农业用地。这项研究的主要目的是使用基于GIS的证据权重模型制作滑坡敏感性图。根据详细的现场评估和Google Earth图像解释,确定了514个滑坡并将其随机分为训练滑坡(80%)和验证滑坡(20%)。研究区最常见的滑坡类型包括土质滑坡(旋转和平移滑坡),泥石流,泥石流,岩崩,倒塌,岩石滑坡,蠕变和复杂。利用九个滑坡成因,如岩性,坡度,坡度,曲率,土地利用/土地覆盖,到溪流的距离,到线状的距离,到春天的距离和降雨,通过增加权重来绘制研究区域的滑坡敏感性图。使用ArcGIS中的空间分析工具的评估器计算器,可以将这些原因的对比度值进行对比。最终的滑坡敏感性图被重新分类为极低,低,中,高和极高的敏感性等级。使用滑坡密度指数和曲线下面积(AUC)验证了此敏感性图。该模型验证的结果显示成功率和验证率准确度分别为82.4%和83.4%。最后,建议在裸露的土地上实施绿化策略,建造地面排水沟渠和沟渠,并在必要时建议提供石笼墙,挡土墙,锚和螺栓等工程加固,并禁止危险区域,以减轻滑坡对该地区的影响。
更新日期:2021-02-28
down
wechat
bug