GIS-Based Landslide Susceptibility Mapping in Wuchale Area, South Wollo Zone, Northern Ethiopia

dc.contributor.advisorTrufat Hailemariam
dc.contributor.authorHaile Alemu
dc.date.accessioned2025-08-27T08:32:51Z
dc.date.available2025-08-27T08:32:51Z
dc.date.issued2024-06
dc.description.abstractThis study was conducted in the Wuchale area in the Amhara regional state of the South Wollo Zone, northern Ethiopia. The study aims to evaluate and map landslide susceptibility in the area. A bivariate statistical information value and frequency ratio models were employed to achieve this objective. Six factor layers responsible for landslide occurrences including slope, aspect, elevation, lithology, LULC, and distance to stream were analyzed. With the aid of GPS devices and Google Earth Image interpretations, 31 landslide inventory points were identified. All the data layers were rasterized with a uniform pixel size of 12.5 m in ArcGIS 10.4, which helps to count the amount of entire pixels and landslide pixels uniformly in the area. The frequency ratio and information value models were applied to 70% (22) of the landslide inventory points to determine the relative significance of each factor class. The weights of each factor class were summed to generate a final landslide susceptibility map using a GIS raster calculator. Using natural breaks interval (Jenks), the research region was categorized into five (5) susceptibility classes: very low, low, moderate, high, and very high considering the landslide susceptibility index ranges. The FR model results indicate that 9 km2 (9%) of the area is covered by very high susceptibility, 11 km2 (11%) by high susceptibility, 17 km2 (17%) by moderate susceptibility, 23 km2 (23%) by low susceptibility, and 40 km2 (40) by very low susceptibility. Similarly, the IV model shows 18 km2 (18%) with very high susceptibility, 12 km2 (12%) with high susceptibility, 17 km2 (17%) with moderate susceptibility, 18 km2 (18%) with low susceptibility, and 35 km2 (35) with very low susceptibility. Validation of the susceptibility map was conducted using 30% (9) of landslide inventory points that were not used in the model–building, yielding area under the curve (AUC) values of 0.78 and 0.828 for the frequency ratio model's success and prediction rates, respectively. The information value model achieved success and prediction rates of 0.786 and 0.83, respectively. These validation results demonstrate satisfactory agreement between the landslide susceptibility map and existing landslides.
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/7151
dc.language.isoen_US
dc.publisherAddis Ababa University
dc.subjectFrequency Ratio
dc.subjectInformation Value
dc.subjectLandslide
dc.subjectLandslide Susceptibility
dc.subjectValidation
dc.subjectWuchale
dc.titleGIS-Based Landslide Susceptibility Mapping in Wuchale Area, South Wollo Zone, Northern Ethiopia
dc.typeThesis

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