Landslide Susceptibility assessment using GIS on Rock-Soil Slope along Zabidar Mountain Road Corridors, Ethiopia

Document Type : Research Paper

Authors

1 Wolkite University, Institute of Technology, Department of Civil Engineering, Tel: +251912377796, Wolkite, Ethiopia

2 Jimma University, Institute of Technology, Department of Civil Engineering, Tel: +251913969689, Jimma, Ethiopia.

3 Lacturer, Jimma University, Institute of Tec hnology, Department of Civil Engineering, Tel: +251912883113, Jimma, Ethiopia.

Abstract

Landslides are deceitful natural disasters, resulting in the loss of human life, collapse of engineering structures, and the natural environment on the earth. Therefore, the aims of this study to assess, predict and mapping of susceptible landslide hazard map using GIS based software. Six landslide causative factors including aspect, distance from stream, lithology, plan curvature, slope and elevation selected as influencing factor for landslide occurrences. The landslide frequency ratio calculated using the probability technique. The controlling elements graded using a statistical and frequency ratio methodology based on GIS. The landslide hazard map shows 27% (4.8 km2) is no-danger zone, with 588 (41%) families living there. A medium to landslide danger zone covers 29% (5.2 km2), with 555 families (38.7%) living. A low-risk landslide zone covers 23% (4.1 km2), with 228 (16%) families living. A high-risk landslide zone covers 21% (3.8 km2), with 61 (4.3%) families living. The prediction rate of all factors revealed that, the highest landslide occurrence associated with Lithology and plan curvature. When these are added with high rainfall intensity, the magnitude of the landslide increases. The highest prediction accuracy of 89.58% found from combination of all causative factors which depicts how well the model and factors accurately forecast landslides.

Keywords

Main Subjects


Article Title [Persian]

-

Abay A., Barbieri G., 2012. landslide susceptability and causative factors evaluation of the landslide area of Debresina. in Southweaster Afar scarpment: Ethiopia. journal of earth science engineering 2:133-144.##
Abeebe B., Dramis f., Fubeli g., Umer M., Asrat A., 2020. Landslide in ethiopian highlands and the rift margin. african earth science 56: 131-138.##
Baharin A., Farshid S., Javad M., Barat M., 2014. Using Frequency Ratio Method for Spatial Landslide Prediction journal of applied science and technology 7: 3174-3180.##
Bai SB., Wang J., Lu G-N., Zhou P-G., Hou S-S., Xu S-N., 2010. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the three gorges area, China, Geomorphology 115: 23-31.##
Borgomeo E., Hebditch KV., Whittaker AC., Lonergan L., 2014. Characterising the spatial distribution, frequency and geomorphic controls on landslide occurrence,. Molise: Italy.##
Crosta GB., Imposimato S., Roddeman D., 2003. Numerical modelling of large landslides stability and run out." Natural Hazards and Earth System Sciences 3: 523- 528.##
Depicker A., Govers G., Van Rompaey A., Havenith HB., Mateso JM., Demitte O., 2018. Landslides in a changing tropical environment: North Tanganyika-Rift. Kivu zones: https://www.researchgate. net/publication/325176935,.##
Eberhardt E., Stead D., Coggan JS., 2004. Numerical analysis of initiation and progressive failure in natural rock slopes the1991 Randa rockslides. Rock Mechanics and Mining Sciences, 41: 69 -87.##
Heidari A., Roozitalab MH., Mermut AR., 2008. Diversity of clay minerals in the vertisols of three different climatic regions in western Iran. Journal of Agricultural Science and Technology 10: 269- 84.##
Hong H., Xu C., Bui DT., 2015. Landslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio Model. Procedia Earth and Planetary Science 15: 513-7.##
Lee S, Min K. 2001.Statistical analysis of landslide susceptibility at Yongin, Korea. Engineering Geology 40(9): 1095-113.##
Meten M., Bhandary NP., Yatabe R., 2015. Effect of landslide factor combinations on the prediction accuracy of landslide susceptibility maps in the Blue Nile gorge of Central Ethiopia. Geoenviron Disast 2:9. Geoenvironmetal disasters 9, https://doi.org/10.1186/s40677-015-0016-7: 2.##
Nedala, B. R., Nakileza S., 2020. Topographic influence on landslides characteristics and implication for risk management in upper Manafwa catchment, Mt Elgon Uganda. Geoenvironmetal Disasters 7, 27: 1-13.##
Ohlmacher. GC., 2007. Plan curvature and landslide probability in regions dominated by earth flows and earth slides. .Engineering Geology 91: 117-134.##
Silalahi FES., Arifianti PY., Hidayat F., 2019. Landslide susceptibility assessment using frequency ratio model in Bogor, West Java, Indonesia, Geosciece Letter 6(10) https://doi.org/10.1186/s40562-019-0140-4##
Woldearegay. K., 2013. Review of the occurrences and influencing factors of landslides in the highlands of Ethiopia: With implications for infrastructural development. Momona Ethiopian Journal of Science.##
Woldearegay K., Schubert W., Klima K., Mogessie A., 2000. Landslide hazards mitigation trategies in the northern highlands of Ethiopia. Landslide Risk Management, 27-37.##
Yalcin A., Reis S., Aydinoglu AC., Yomralioglu T., 2011. A GIS-based comparative study of A GISbased comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey, CATENA 85, 3: 274–87.##
Zhou S., Chen G., Fang L., Nie Y., 2016. GIS-Based Integration of Subjective and Objective Weighting Methods for Regional Landslides Susceptibility Mapping. Sustainability 8(4): 334.##
Zhuang J., Peng J., Iqbal J., Liu T., Liu N., Li Y., MA P., 2015. Identification of landslide spatial distribution and susceptibility assessment in relation to topography in the Xi’an Region, Shaanxi Province, China. Frontier Earth Science 9(3): 449-462.##
Volume 12, Issue 2
November 2022
Pages 201-222
  • Receive Date: 22 January 2022
  • Revise Date: 10 March 2022
  • Accept Date: 19 March 2022
  • First Publish Date: 19 March 2022