International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Assessment and Prediction of Slope Instability in the Lish River Basin of Eastern Darjiling Himalaya using RS and GIS

    ,

Author Affiliations

  • 1 Department of Geography, University of Gour Banga, Malda-732103, West Bengal, INDIA

Int. Res. J. Earth Sci., Volume 3, Issue (12), Pages 9-20, December,25 (2015)

Abstract

The present study area, the Lish River basin of eastern Darjiling Himalaya shows extensive tea cultivation, deforestation, expansion of communication and settlement, shifting cultivation, unscientific and unplanned land use practices. All these activities have brought a tremendous threat to the population living in the Lish river basin causing devastating landslip. Although, various attempts were being taken to combat and check the landslide phenomena but a systematic and quantitative assessment and prediction of landslides are to be made in detail for planning and development. The assessment and prediction of the landslide phenomena are the prime concern of landslide mitigation. The present study is dealt with the assessment and prediction of landslide prone area in the Lish River basin. To make the landslide susceptibility map of the Lish river basin, some landslide inducing factors i.e. slope angle, slope aspect, slope curvature, drainage, lithology, geomorphology, soil, land use and land cover, and NDVI were taken into account and all the data layers were developed using RS and GIS tools. To integrate all the data layers Overlay analysis method on GIS platform were performed and landslide susceptibility map of the Lish river basin were prepared.

References

  1. Dai FC and Lee CF, Landslide characteristics and slope instability modelling using GIS; Lantau Island, Hong Kong, Geomorphology (42), 213-228 (2002)
  2. Einstein HH, Landslide risk assessment procedure. Proceedings of the Fifth International Symposium on Landslides, 1075-1090 (1988)
  3. Guzzetti F, Carrara A, Cardinali M and Reichenbach P, Landslide Hazard Evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Journal of Geomorphology, 31. Elsevier,London, 181-216 (1999)
  4. Jibson WR, Edwin LH and John AM, A method for producing digital probabilistic seismic landslide hazard maps, Engineering Geology, (58), 271–289 (2000)
  5. Lee S., Ryu J.H., Won J.S. and Park H.J., Determination and Publication of the weights for landslide susceptibility mapping using an artificial neural network, Engineering Geology, (71), 289-302 (2004a)
  6. Parise M and Jibson WR, A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake, Engineering Geology, 58, 251–270 (2000)
  7. Rautelal P and Lakhera RC, Landslide risk analysis between Giri and Tons Rivers in Himachal Himalaya (India), International Journal of Applied Earth Observation and Geoinformation, 2, 153-160 (2000)
  8. Donati L and Turrini MC, An objective and method to rank the importance of the factors predisposing to landslides with the GIS methodology, application to an area of the Apennines (Valnerina; Perugia, Italy), Engineering Geology, (63), 277–289 (2002)
  9. Zhou CH, Lee CF, Li J and Xu ZW, On the spatial relationship between landslide and causative factors on Lantau Island, Hong Kong, Geomorphology, 43, 197-207 (2002)
  10. Atkinson PM and Massari R, Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy; Computer and Geosciences, 24, 373–385 (1998)
  11. Gokceoglu C, Sonmez H and Ercanoglu M, Discontinuity controlled probabilistic slope failure risk map of the Altindag (Settlement) region in Turkey, Engineering Geology, (55), 277-296 (2000)
  12. Lee S, Ryu JH, Won JS and Park HJ, Determination and Publication of the weights for landslide susceptibility mapping using an artificial neural network, Engineering Geology, (71), 289-302 (2004a)