Weights of evidence modeling for landslide susceptibility mapping of Kabi-Gebro locality, Gundomeskel area, Central Ethiopia

Geoenvironmental Disasters

Nega Getachew¹  Matebie Meten² 

[1] Department of Geology, College of Applied Sciences, Addis Ababa Science and Technology University, P.O. Box: 16417, Addis Ababa, Ethiopia;Department of Geology, College of Natural and Computational Science, Assosa University, P.O. Box 18, Assosa, Ethiopia;Department of Geology, College of Applied Sciences, Addis Ababa Science and Technology University, P.O. Box: 16417, Addis Ababa, Ethiopia;Mineral Exploration, Extraction and Processing Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia;

关键词: Landslide susceptibility;    GIS;    Weights of evidence;    Kabi-Gebro;    Gundomeskel;    Ethiopia;   

DOI  :  10.1186/s40677-021-00177-z

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY