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Geospatial Technologies for Landslide Inventory: Application and Analysis to Earthquake-Triggered Landslide of Sindhupalchowk, Nepal

  • Acharya, Tri Dev (Department of Civil Engineering, Kangwon National University) ;
  • Yang, In Tae (Department of Civil Engineering, Kangwon National University) ;
  • Lee, Dong Ha (Department of Civil Engineering, Kangwon National University)
  • Received : 2016.06.13
  • Accepted : 2016.06.30
  • Published : 2016.06.30

Abstract

Landslide is one of the natural hazards, triggered by rainfall or earthquake and it leads to damage and loss of properties and lives especially in hilly and mountainous regions. Inventory maps of the area is of much importance in order to understand the landslide phenomena in detail, conduct further studies on landslide, prepare susceptibility map and minimize risk. Inventory maps of landslides can be constructed by several methods, using multiple images through visual interpretation, using algorithms in multi-spectral or SAR images or verification from field investigation. The possible methods were explored for Sindhupalchowk district of Nepal, which was struck by massive earthquake on 2015 and landslide inventory was prepared. The inventory was analyzed for its frequency over elevation, slope aspect and dominant soil classes and also the information value for their occurrence probability.

Keywords

References

  1. Alfaro, P., Delgado, J., Garcia-Tortosa, F. J., Lenti, L., Lopez, J. A., Lopez-Casado, C. and Martino, S., 2012, Widespread landslides induced by the Mw 5.1 earthquake of 11 May 2011 in Lorca, SE Spain, Engineering Geology, Vol. 137, pp. 40-52.
  2. Althuwaynee, O. F., Pradhan, B. and Lee, S., 2012, Application of an evidential belief function model in landslide susceptibility mapping, Computer & Geosciences, Vol. 44, No. 0, pp. 120-135. https://doi.org/10.1016/j.cageo.2012.03.003
  3. Bogardi, J. J., 2006, Introduction, United Nations University Press, New York.
  4. Bui, D. T., Ho, T. C., Revhaug, I., Pradhan, B. and Nguyen, D. B., 2014, Landslide susceptibility mapping along the national road 32 of Vietnam using GIS-based J48 decision tree classifier and its ensembles, Cartography from pole to pole, pp. 303-317.
  5. Bui, D. T., Tuan, T. A., Klempe, H., Pradhan, B., and Revhaug, I., 2016, Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree, Landslides, Vol. 13, No. 2, pp. 361-378. https://doi.org/10.1007/s10346-015-0557-6
  6. Crozier, M. J., 1986, Landslides: causes, consequences & environment, Croom Helm Ltd, London and Sydney.
  7. Cruden, D. M., 1993, The multilingual landslide glossary, The International Geotechnical Societies UNESCO Working Party for World Landslide Inventory, Vol. 5.
  8. Dai, F. C., Xu, C., Yao, X., Xu, L., Tu, X. B. and Gong, Q. M., 2011, Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China, Journal of Asian Earth Sciences, Vol. 40, No. 4, pp. 883-895. https://doi.org/10.1016/j.jseaes.2010.04.010
  9. Dunning, S. A., Mitchell, W.A., Rosser, N. J. and Petley, D. N., 2007, The Hattian Bala rock avalanche and associated landslides triggered by the Kashmir Earthquake of 8 October 2005, Engineering Geology, Vol. 93, No. 3-4, pp. 130-144. https://doi.org/10.1016/j.enggeo.2007.07.003
  10. Ercanoglu, M., Kasmer, O. and Temiz, N., 2008, Adaptation and comparison of expert opinion to analytical hierarchy process for landslide susceptibility mapping, Bulletin of Engineering Geology and the Environment, Vol. 67, No. 4, pp. 565-578. https://doi.org/10.1007/s10064-008-0170-1
  11. Galli, M., Ardizzone, F., Cardinali, M., Guzzetti, F. and Reichenbach, P., 2008, Comparing landslide inventory maps, Geomorphology, Vol. 94, No. 3-4, pp. 268-289. https://doi.org/10.1016/j.geomorph.2006.09.023
  12. Guzzetti, F., Carrara, A., Cardinali, M. and Reichenbach, P., 1999, Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, Vol. 31, No. 1-4, pp. 181-216. https://doi.org/10.1016/S0169-555X(99)00078-1
  13. Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M. and Chang, K., 2012, Landslide inventory maps: New tools for an old problem, Earth-Science Reviews, Vol. 112, No. 1-2, pp. 42-66. https://doi.org/10.1016/j.earscirev.2012.02.001
  14. Guzzetti, F., Reichenbach, P., Cardinali, M., Galli, M. and Ardizzone, F., 2005, Probabilistic landslide hazard assessment at the basin scale, Geomorphology, Vol. 72, No. 1-4, pp. 272-299. https://doi.org/10.1016/j.geomorph.2005.06.002
  15. Harp, E. L. and Jibson, R. W., 1996, Landslides triggered by the 1994 Northridge, California, earthquake, Bulletin of the Seismological Society of America, Vol. 86, No. 1B, pp. S319-S332.
  16. Harp, E. L., Jibson, R. W. and Dart, R. L., 2013, The effect of complex fault rupture on the distribution of landslides triggered by the 12 January 2010, Haiti Earthquake, Springer Berlin Heidelberg, Berlin, Heidelberg.
  17. Hergarten, S. and Neugebauer, H. J., 2006, Process modelling and landform evolution, Springer.
  18. Jibson, R. W. and Harp, E. L., 2012, Extraordinary distance limits of landslides triggered by the 2011 Mineral, Virginia, earthquake, Bulletin of the Seismological Society of America, Vol. 102, No. 6, pp. 2368-2377. https://doi.org/10.1785/0120120055
  19. Keefer, D. K., 2002, Investigating landslides caused by earthquakes - a historical review, Surveys in geophysics, Vol. 23, No. 6, pp. 473-510. https://doi.org/10.1023/A:1021274710840
  20. Lee, S., 2013, Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique, Environmental Earth Sciences, Vol. 70, No. 7, pp. 3197-3215. https://doi.org/10.1007/s12665-013-2385-0
  21. Lee, S. and Sambath, T., 2006, Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models, Environmental Geology, Vol. 50, No. 6, pp. 847-855. https://doi.org/10.1007/s00254-006-0256-7
  22. Mantovani, F., Soeters, R. and Van Westen, C.J., 1996, Remote sensing techniques for landslide studies and hazard zonation in Europe, Geomorphology, Vol. 15, No. 3-4, pp. 213-225. https://doi.org/10.1016/0169-555X(95)00071-C
  23. Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J. and Kumar, K. V., 2010, Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods, Geomorphology, Vol. 116, No. 1-2, pp. 24-36. https://doi.org/10.1016/j.geomorph.2009.10.004
  24. Nepal Tourism Board, 2008, Tourism Products of Nepal, Nepal Tourism Board 2008.
  25. Parker, R. N., Densmore, A.L., Rosser, N. J., de Michele, M., Li, Y., Huang, R., Whadcoat, S. and Petley, D. N., 2011, Mass wasting triggered by the 2008 Wenchuan earthquake is greater than orogenic growth, Nature Geoscience, Vol. 4, No. 7, pp. 449-452. https://doi.org/10.1038/ngeo1154
  26. Petley, D., 2012, Landslides: Remote sensing techniques and landslides, First Edition, Cambridge University Press, New York, United States of America.
  27. Pradhan, B., 2013, A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS, Computers & Geosciences, Vol. 51, pp. 350-365. https://doi.org/10.1016/j.cageo.2012.08.023
  28. Saba, S. B., van der Meijde, M. and van der Werff, H., 2010, Spatiotemporal landslide detection for the 2005 Kashmir earthquake region, Geomorphology, Vol. 124, No. 1-2, pp. 17-25. https://doi.org/10.1016/j.geomorph.2010.07.026
  29. Sarkar, S., Roy, A. K. and Martha, T. R., 2013, Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas, Journal of the Geological Society of India, Vol. 82, No. 4, pp. 351-362. https://doi.org/10.1007/s12594-013-0162-z
  30. Sato, H. P. and Harp, E. L., 2009, Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth, Landslides, Vol. 6, No. 2, pp. 153-159. https://doi.org/10.1007/s10346-009-0147-6
  31. Stumpf, A. and Kerle, N., 2011, Object-oriented mapping of landslides using Random Forests, Remote Sensing of Environment, Vol. 115, No. 10, pp. 2564-2577. https://doi.org/10.1016/j.rse.2011.05.013
  32. Umar, Z., Pradhan, B., Ahmad, A., Jebur, M. N. and Tehrany, M. S., 2014, Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia, Catena, Vol. 118, pp. 124-135. https://doi.org/10.1016/j.catena.2014.02.005
  33. Van Den Eeckhaut, M., Kerle, N., Hervas, J. and Supper, R., 2013, Landslide Science and Practice: Volume 1: Landslide Inventory and Susceptibility and Hazard Zoning, Springer Berlin Heidelberg, Berlin, Heidelberg.
  34. Varnes, D. J. and IAEG, 1984, Landslide hazard zonation: a review of principles and practice, United Nations Scientific and Cultural Organization, Paris, France.
  35. Wang, C., Zhang, H., Wu, F., Zhang, B., Tang, Y., Wu, H., Wen, X. and Yan, D., 2009, Disaster phenomena of Wenchuan earthquake in high resolution airborne synthetic aperture radar images, APPRES, Vol. 3, No. 1, pp. 031690. https://doi.org/10.1117/1.3154558
  36. Xu, C., 2015, Preparation of earthquake-triggered landslide inventory maps using remote sensing and GIS technologies: Principles and case studies, Geoscience Frontiers, Vol. 6, No. 6, pp. 825-836. https://doi.org/10.1016/j.gsf.2014.03.004
  37. Xu, C., Xu, X., Yao, X. and Dai, F., 2014, Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis, Landslides, Vol. 11, No. 3, pp. 441-461. https://doi.org/10.1007/s10346-013-0404-6

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