Advertisement

Landslide assessment and susceptibility zonation in Ebantu district of Oromia region, western Ethiopia

  • Misgana Firomsa
  • Asmelash Abay
Original Paper
  • 40 Downloads

Abstract

The present paper deals with landslide hazards in the Ebantu district of the Oromia regional state of western Ethiopia. Ninety-two landslides were recorded during field investigations and Google Earth interpretation. The data sets were prepared as a layer in the spatial GIS database that was later utilized for generating the landslide susceptibility zonation map. Slope, elevation, and distance from drainage were extracted from the digital elevation model, the geology is modified from the geological map of Nekemte, and the land use map was prepared from Landsat +ETM satellite (2015) using digital image processing techniques. The statistical index method was applied to identify landslide hazard areas, and statistical analysis was carried out based on the relationship between past landslides and the causative factors. The causative factor map is further classified into a number of classes based on their relative influence on mass movement and rating values are assigned to each class depending on their influence on slope instability. Based on their assigned weight values, the map overlay process is performed using Arc GIS 10.3, and finally, the landslide hazard map showing various zones is produced by the overlay technique.

Keywords

Landslide Causative factors Statistical index Susceptibility zonation Ebantu Ethiopia 

Notes

Acknowledgements

The authors are grateful to the Ministry of Water Resources of Ethiopia and School of Earth Sciences, Mekelle University for sponsoring the research work as well as different organizations who have helped this study by providing valuable data. These include Ebantu District Administration, Ebantu District Road Authority, Land Administration Office, Nekemte TVET College, Ethiopian Geological Survey and Ethiopian Meteorological Agency. Thanks are also due to Prof. Bheemalingeswara for his comments and help in improving the quality of the paper. Moreover, the authors would like to thank all anonymous reviewers for their valuable comments on the manuscript.

References

  1. Abay A (2012) Remote sensing and GIS-based mapping on landslide phenomena and landslide susceptibility evaluation of Debresina area (Ethiopia) and Rio sanGirolamo basin (Sardinia). PhD Dissertation, University degliStudi di Cagliari, ItalyGoogle Scholar
  2. Abay A, Barbieri G (2012) Landslide susceptibility and causative factors evaluation of the landslide area of Debresina, in the southwestern Afar escarpment, Ethiopia. J Earth Sci Eng 2:133–144Google Scholar
  3. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44CrossRefGoogle Scholar
  4. Acharya TD, Yang IT, Lee D (2017) GIS-based landslide susceptibility mapping of Bhotang, Nepal using frequency ratio and statistical index methods. J Korean Soc Surv Geodesy Photogrammetry Cartography 35:357–364Google Scholar
  5. Ahmed S (2009) Slope stability analysis using GIS and numerical modeling techniques. Unpublished MSc thesis, VrijeUniversiteit, BrusselGoogle Scholar
  6. Ahmed B, Rubel YA (2013) Understanding the issues involved in urban landslide vulnerability in Chittagong metropolitan area, Bangladesh. Association of American Geographers (AAG), Washington, DCGoogle Scholar
  7. Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. Eng Geol 32:269–277CrossRefGoogle Scholar
  8. Anbazhagan S, Ramesh V (2014) Landslide hazard zonation mapping in Ghat road section of Kolli Hills, India. J Mt Sci 11:1308–1325.  https://doi.org/10.1007/s11629-012-2618-9 CrossRefGoogle Scholar
  9. Ayalew L (1999) The effect of seasonal rainfall on landslides in the highlands of Ethiopia. Bull Eng Geol Environ 58:9–19CrossRefGoogle Scholar
  10. Ayenew T, Barbieri G (2005) Inventory of landslides and susceptibility mapping in the Dessie area, northern Ethiopia. Eng Geol 77:1–15CrossRefGoogle Scholar
  11. Bai SB, Wang J, Lu GN, Zhou PG, Hou SS, Xu SN (2009) GIS-based and data-driven bivariate landslide-susceptibility mapping in the Three Gorges area, China. Pedosphere 19(1):14–20CrossRefGoogle Scholar
  12. Carrara A, Cardinali M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide hazards. In: Carrara A, Guzzetti F (eds) GIS in assessing natural hazards. Kluwer, Dordrecht, pp 135–175Google Scholar
  13. Conoscenti C, Ciaccio M, Caraballo-Arias NA, Gómez-Gutiérrez Á, Rotigliano E, Agnesi V (2015) Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western Sicily, Italy). Geomorphol Elsevier 242:49–64.  https://doi.org/10.1016/j.geomorph.2014.09.020 CrossRefGoogle Scholar
  14. Dai FC, Lee CF, Zhang XH (2001) GIS-based geo-environmental evaluation for urban land-use planning: a case study. Eng Geol 61:257–271CrossRefGoogle Scholar
  15. Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64:65–87CrossRefGoogle Scholar
  16. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: an aid to a sustainable development. Geom 31:181–216Google Scholar
  17. Intarawichian N, Dasananda S (2011) Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, northern Thailand. Environ Earth Sci 64:2271–2285CrossRefGoogle Scholar
  18. Krishna CD (2012) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya. Nat Hazards 65:135–165CrossRefGoogle Scholar
  19. Lee S (2005) Application and cross-validation of spatial logistic multiple regression for landslide susceptibility analysis. Geosci 9(1):63–71CrossRefGoogle Scholar
  20. Long NT, De Smedt F (2011) Application of an analytical hierarchical process approach for landslide susceptibility mapping in A Luoi district, Thua Thien Hue Province, Vietnam; Environ Earth Sci 10:011–1397Google Scholar
  21. Meten M, Andary NP, Yatabe R (2015) GIS-based frequency ratio and logistic regression modeling for landslide susceptibility of Debresina in central Ethiopia. J Mt Sci 12(6).  https://doi.org/10.1007/s11629-015-3464-3 CrossRefGoogle Scholar
  22. Narumon I, Songkot D (2010) Analytical hierarchy process for landslide susceptibility mapping in lower Mae chaem watershed, northern Thailand. Suranaree J Sci Technol 17(3):277–292Google Scholar
  23. Neuhäuser B, Damm B, Terhorst B (2011) GIS-based assessment of landslide susceptibility on the base of the weights-of-evidence model. Landslides 9:511–528.  https://doi.org/10.1007/s10346-011-0305-5 CrossRefGoogle Scholar
  24. Peng L, Niu R, Huang B, Wu X, Zhao Y, Ye R (2014) Landslide susceptibility mapping based on rough set theory and support vector machines: a case of the Three Gorges area, China. Geomorphol Elsevier 204:287–301.  https://doi.org/10.1016/j.geomorph.2013.08.013 CrossRefGoogle Scholar
  25. Regmi AD, Yoshida K, Devkota KC, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A (2013) Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya. Arab J Geosci.  https://doi.org/10.1007/s12517-012-0807-z CrossRefGoogle Scholar
  26. Rezaei MMH, Khayyam M, Ahmadi M, Farajzadeh M (2007) Mapping susceptibility landslide by using the weight-of-evidence model: a case study in Merek Valley, Iran. J Appl Sci 7(22):3342–3355CrossRefGoogle Scholar
  27. Saha AK, Gupta RP, Arora MK (2002) GIS-based landslide hazard zonation in the Bhagirathi (Ganga) valley, Himalayas. Int J Remote Sens 23(2):357–369CrossRefGoogle Scholar
  28. Soeters R, van Westen CJ (1996) Slope instability recognition, analysis and zonation. In: Turner AK, Schuster RL (eds.) Landslide investigation and mitigation. National Research Council. Trans Res B 247:129–177Google Scholar
  29. Süzen ML, Doyuran V (2004) Data-driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Eng Geol 71:303–321CrossRefGoogle Scholar
  30. Temesgen B, Mohammed MU, Korme T (2001) Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenet area, Ethiopia. Phys Chem Earth 26(9):665–675Google Scholar
  31. Thomson S (1971) Analysis of a failed slope. Can Geotech J 8:596–599CrossRefGoogle Scholar
  32. Turrini CT, Visintainer P (1998) Proposal of a method to define areas of landslide hazard and application to an area of the Dolomites, Italy. Eng Geol 50:255–265CrossRefGoogle Scholar
  33. Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinalie F (2009) Landslide Hazard Zonation Using Quantitative Methods in GIS. Intern. Journal of Civil Eng 7(3):176–189Google Scholar
  34. Van Westen C (1997) Statistical landslide hazard analysis. ILWIS 2.1 for windows application guide. ITC, Enschede, pp 73–84Google Scholar
  35. Van Westen CJ, Rengers N, Terlien MTJ, Soeters R (1997) Prediction of the occurrence of slope instability phenomena through GIS based hazard zonation. Geol Rundsch 86(2):404–414CrossRefGoogle Scholar
  36. Van Westen CJ, Van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation - why is it still so difficult?. Bulletin of Eng. Geology and the Envir 65:167–184Google Scholar
  37. Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. Commission on landslides of the IAEG UNESCO N. Hazards No. 3Google Scholar
  38. Woldearegay K (2005) Rainfall-triggered landslides in the northern highlands of Ethiopia: characterization, GIS-based prediction and mitigation. PhD Thesis. Facul of Civil Eng Graz Univ of TechnoGoogle Scholar
  39. Yalcin A (2007) Environmental impacts of landslides: a case study from East Black Sea region, Turkey. Environ Eng Sci 24(6):821–833CrossRefGoogle Scholar
  40. Yalcin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. Catena 72:1–12CrossRefGoogle Scholar
  41. Yalcin A, Reis S, Aydinoglu AC, Yomralioglu T (2011) A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistic regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena 85:274–287CrossRefGoogle Scholar
  42. Yilmaz C, Topal T, Süzen ML (2011) GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey). Environ Earth Sci 65:2161–2178.  https://doi.org/10.1007/s12665-011-1196-4 CrossRefGoogle Scholar
  43. Zhang G, Cai Y, Zheng Z, Zhen J, Liu Y, Huang K (2016) Integration of the statistical index method and the analytic hierarchy process technique for the assessment of landslide susceptibility in Huizhou, China. Catena 142:233–244CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Earth SciencesMekelle UniversityMekelleEthiopia

Personalised recommendations