GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia
In the present study landslide hazard evaluation and zonation (LHZ) was carried out in Jeldu District in Central Ethiopia, about 156 km West of Addis Ababa, the capital city of Ethiopia. Through field based inventory mapping and image interpretation 34 past landslides were mapped in the study area....
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| Format: | Article |
| Language: | English |
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Elsevier
2017-04-01
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| Series: | Journal of King Saud University: Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1018364715301129 |
| _version_ | 1798043508041318400 |
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| author | Tilahun Hamza Tarun Kumar Raghuvanshi |
| author_facet | Tilahun Hamza Tarun Kumar Raghuvanshi |
| author_sort | Tilahun Hamza |
| collection | DOAJ |
| description | In the present study landslide hazard evaluation and zonation (LHZ) was carried out in Jeldu District in Central Ethiopia, about 156 km West of Addis Ababa, the capital city of Ethiopia. Through field based inventory mapping and image interpretation 34 past landslides were mapped in the study area. The governing factors; aspect, slope and elevation, were determined from the digital elevation model (DEM), which was obtained from the ASTER satellite. Lithology was adopted from the geological map of Ethiopia (1:2,000,000), while the soil and land use/land cover were processed from Landsat + ETM satellite data. All governing factors were statistically analyzed to find the correlation with the past landslides. In this study, statistical – probabilistic approach was used to rate the governing factors and then customized raster calculation was made in GIS environment to develop the LHZ map.
The results revealed that 12% (5.64 km2) of the study area falls under no hazard, 27% (12.69 km2) as low hazard, 32% (15.04 km2) as moderate hazard, 21% (9.87 km2) as high hazard and the rest 8% (3.76 km2) as very high hazard. The validation of LHZ map shows that, 92% of past landslides fall in high or very high hazard zones, while 6% fall in medium and only 2% in low landslide hazard zones. The validation of LHZ map thus, reasonably showed that the adopted methodology produced satisfactory results and the delineated hazard zones may practically be applied for the regional planning and development of infrastructures in the area. |
| first_indexed | 2024-04-11T22:49:49Z |
| format | Article |
| id | doaj.art-8e50da3a8d0b42cbbf6c6f8fd7329dd6 |
| institution | Directory Open Access Journal |
| issn | 1018-3647 |
| language | English |
| last_indexed | 2024-04-11T22:49:49Z |
| publishDate | 2017-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Science |
| spelling | doaj.art-8e50da3a8d0b42cbbf6c6f8fd7329dd62022-12-22T03:58:37ZengElsevierJournal of King Saud University: Science1018-36472017-04-0129215116510.1016/j.jksus.2016.05.002GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central EthiopiaTilahun HamzaTarun Kumar RaghuvanshiIn the present study landslide hazard evaluation and zonation (LHZ) was carried out in Jeldu District in Central Ethiopia, about 156 km West of Addis Ababa, the capital city of Ethiopia. Through field based inventory mapping and image interpretation 34 past landslides were mapped in the study area. The governing factors; aspect, slope and elevation, were determined from the digital elevation model (DEM), which was obtained from the ASTER satellite. Lithology was adopted from the geological map of Ethiopia (1:2,000,000), while the soil and land use/land cover were processed from Landsat + ETM satellite data. All governing factors were statistically analyzed to find the correlation with the past landslides. In this study, statistical – probabilistic approach was used to rate the governing factors and then customized raster calculation was made in GIS environment to develop the LHZ map. The results revealed that 12% (5.64 km2) of the study area falls under no hazard, 27% (12.69 km2) as low hazard, 32% (15.04 km2) as moderate hazard, 21% (9.87 km2) as high hazard and the rest 8% (3.76 km2) as very high hazard. The validation of LHZ map shows that, 92% of past landslides fall in high or very high hazard zones, while 6% fall in medium and only 2% in low landslide hazard zones. The validation of LHZ map thus, reasonably showed that the adopted methodology produced satisfactory results and the delineated hazard zones may practically be applied for the regional planning and development of infrastructures in the area.http://www.sciencedirect.com/science/article/pii/S1018364715301129Digital elevation modelHazard indexLandslideLandslide hazard zonation |
| spellingShingle | Tilahun Hamza Tarun Kumar Raghuvanshi GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia Journal of King Saud University: Science Digital elevation model Hazard index Landslide Landslide hazard zonation |
| title | GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia |
| title_full | GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia |
| title_fullStr | GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia |
| title_full_unstemmed | GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia |
| title_short | GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia |
| title_sort | gis based landslide hazard evaluation and zonation a case from jeldu district central ethiopia |
| topic | Digital elevation model Hazard index Landslide Landslide hazard zonation |
| url | http://www.sciencedirect.com/science/article/pii/S1018364715301129 |
| work_keys_str_mv | AT tilahunhamza gisbasedlandslidehazardevaluationandzonationacasefromjeldudistrictcentralethiopia AT tarunkumarraghuvanshi gisbasedlandslidehazardevaluationandzonationacasefromjeldudistrictcentralethiopia |