Landslide susceptibility mapping in eastern hills of Rara Lake, western Nepal

Authors

  • Padam Bahadur Budha Central Department of Environmental Science, Tribhuvan University, Kirtipur, Kathmandu
  • Kabiraj Paudyal Central Department of Geology, Tribhuvan University, Kirtipur, Kathmandu
  • Motilal Ghimire Central Department of Geography, Tribhuvan University, Kirtipur, Kathmandu

DOI:

https://doi.org/10.3126/jngs.v50i1.22872

Keywords:

Landslide susceptibility, Mugu, Rara Lake, Statistical Index Method, western Nepal

Abstract

 The tendency of occurrences of slope failures in future in an area is landslides susceptibility. This tendency in eastern hills of Rara Lake was analyzed through mapping process. Bivariate statistical index method was used to produce the susceptibility of landslides. Ninety six slope failures were delineated from Google Earth imagery. The ratio of landslide densities of each individual factor classes to that of whole area gave weight values necessary to produce landslide susceptibility index (LSI). East and South facing slopes, gradients of <30o, elevation of 2000-2800 m, buffers closer to road and streams, grassland and cultivation lands, and lithology of pelitic metamorphic rocks were factor classes with positive weight values. The LSI values ranging from -7.12 to 5.45 were reclassified into five susceptibility classes. Landslide densities of 8.12 and 4.76 per km2 were observed for very high and high susceptible zones. Success rate curve, made from 35 landslides located in the field survey, showed 0.76 portion area under the curve. This gives 76% overall success rate. Higher susceptible areas are cultivated areas and grasslands, where most houses were located. Thus, knowing the landslide susceptibility of areas, necessary preparedness can be done to reduce the impacts.

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Published

2016-12-21

How to Cite

Budha, P. B., Paudyal, K., & Ghimire, M. (2016). Landslide susceptibility mapping in eastern hills of Rara Lake, western Nepal. Journal of Nepal Geological Society, 50(1), 125–131. https://doi.org/10.3126/jngs.v50i1.22872

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