Landslide Hazard Assessment and Zonation Using Bivariate Statistical Analysis Approach:- the Case Study in Gora Gommany Village and its Surrounding Area in Alaltu District, North Showa Zone, Central Ethiopia
| dc.contributor.advisor | Geremew, Zemenu (PhD) | |
| dc.contributor.author | Beyene, Getahun | |
| dc.date.accessioned | 2019-09-18T12:58:27Z | |
| dc.date.accessioned | 2023-11-09T14:10:47Z | |
| dc.date.available | 2019-09-18T12:58:27Z | |
| dc.date.available | 2023-11-09T14:10:47Z | |
| dc.date.issued | 2016-12-04 | |
| dc.description.abstract | Landslide Hazard Assessment and Zonation Using Bivariate Statistical Analysis Approach:- The Case Study in Gora Gommany Village and Its Surrounding Area in Alaltu District, North Showa Zone, Central Ethiopia. Getahun Beyene Addis Ababa University, 2016 Landslide is one of the major geo-environmental hazards causing damage to life and property in the Gora Gommany Village. Considering the disastrous effects of the landslides, it is necessary to access the landslides in the present study area. To reduce the damage caused by landslides a Landslide Hazard Zonation map (LHZ) is developed. Landslide Hazard zoning contributes towards sustainable development and planning for mitigation of disaster in the study area. The methodology adopted for the present study was bivariate statistical analysis approach which is based on the past landslides in the area. The Landslide Susceptibility Index (LSI) based on GIS approach and weight evidence modeling (WEM) approaches were followed for preparation of Landslide Hazard Zonation map of the study area. In the present study area 31 past landsides were detected for the analysis of landslide hazard evaluation and Zonation. Six prominent causative factors are considered: Slope material, Slope, Elevation, Landuse landcover, Groundwater and Aspect. For all causative factors the thematic map with scale of 1:50,000 were prepared. The Landslide Susceptibility Index (LSI) was computed for all subclasses of causative factors using Landslide Susceptibility Value (LSV). The calculation of the weight of the parameters was performed to give the weight sum map. For the validation of Landslide Hazard Zonation Map (LHZ) the landslide inventory data was overlaid on LHZ map. The weight sum map was finally classified into five distinctive classes of Landslide Hazard Zonation map. The result obtained shows that Very Low Hazard (16%), Low Hazard (23%), Moderate Hazard 12% , High Hazard 24% and Very High Hazard(25%). The area coverage for Very Low Hazard, Low Hazard, Moderate Hazard, High Hazard and Very High Hazard is 6km2, 9km2, 5km2, 9km2 and 9km2, respectively. The result of validation shows that for weight evidence modeling approach map was less verification than Landslide Susceptibility Index (LSI) based on GIS approach map. | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/19127 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Landslide Hazard Assessment | en_US |
| dc.subject | Zonation Using Bivariate | en_US |
| dc.subject | Case Study in Gora Gommany Village | en_US |
| dc.subject | Surrounding Area in Alaltu District | en_US |
| dc.subject | North Showa Zone | en_US |
| dc.subject | Central Ethiopia | en_US |
| dc.title | Landslide Hazard Assessment and Zonation Using Bivariate Statistical Analysis Approach:- the Case Study in Gora Gommany Village and its Surrounding Area in Alaltu District, North Showa Zone, Central Ethiopia | en_US |
| dc.type | Thesis | en_US |