Journal of Mountain Science

, Volume 5, Issue 3, pp 232–240 | Cite as

Landslide hazard zonation mapping and comparative analysis of hazard zonation maps

  • S. SarkarEmail author
  • R. Anbalagan


Landslide hazard zonation mapping at regional level of a large area provides a broad trend of landslide potential zones. A macro level landslide hazard zonation for a small area may provide a better insight into the landslide hazards. The main objective of the present work was to carry out macro landslide hazard zonation mapping on 1:50,000 scale in an area where regional level zonation mapping was conducted earlier. In the previous work the regional landslide hazard zonation maps of Srinagar-Rudraprayag area of Garhwal Himalaya in the state of Uttarakhand were prepared using subjective and objective approaches. In the present work the landslide hazard zonation mapping at macro level was carried out in a small area using a Landslide Hazard Evaluation Factor rating scheme. The hazard zonation map produced by using this technique classifies the area into relative hazard classes in which the high hazard zones well correspond with high frequency of landslides. The results of this map when compared with the regional zonation maps prepared earlier show that application of the present technique identified more details of the hazard zones, which are broadly shown in the earlier zonation maps.


Landslides Hazard zonation Garhwal Himalaya Mapping 


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  1. Anbalagan, R. 1992. Landslide Hazard Evaluation and Zonation Mapping in Mountainous Terrain. Engg. Geol., 32.:269–277.CrossRefGoogle Scholar
  2. Carrara, A., Cardinali, M., Detti, F., Guzzetti, F., Pasqui, V. and Reichenbach, P. 1991. GIS Techniques and Statistical Models in Evaluating Landslide Hazard. Earth Surface Processes and Landforms 16(5):427–445.CrossRefGoogle Scholar
  3. Chung C. F. and Fabbri A. G. 1999. Probabilistic Prediction Models for Landslide Hazard Mapping. Photogrammetric Engineering & Remote Sensing, 65(12):1389–1399.Google Scholar
  4. Dhakal A. S., Amada T. and Aniya M. 2000. Landslide Hazard Mapping and Its Evaluation Using GIS: an Investigation of Sampling Schemes For a Grid-Cell Based Quantitative Method. Photogrammetric Engg. & Remote Sensing 66(8):981–989.Google Scholar
  5. Jade S. and Sarkar S. 1993. Statistical Model for Slope Instability Classifications. Engineering Geology, 36:71–98.CrossRefGoogle Scholar
  6. Juang, C.H., Lee, D.H. and Sheu, C. 1992. Mapping Slope Failure Potential Using Fuzzy Sets. Jour. Geotech. Engg. 118(3): 475–494.CrossRefGoogle Scholar
  7. Kanungo D. P., Arora M. K., Sarkar S. and Gupta R. P. 2006. A Comparative Study of Conventional, ANN Black Box, Fuzzy and Combined Neural and Fuzzy Weighting Procedures for Landslide Susceptibility Zonation in Darjeeling Himalayas. Engineering Geology, Vol. 85: 347–366.CrossRefGoogle Scholar
  8. Pachauri, A.K. and Pant, M. 1992. Landslide Hazard Mapping Based on Geological Attributes. Engg. Geol. 32:81–100.CrossRefGoogle Scholar
  9. Sarkar, S. 1996. Landslide Hazard Zonation and Slope Stability Assessment Techniques: Applications to Srinagar-Rudraprayag, Garhwal Himalaya. Ph.D. Thesis, University of Roorkee, Roorkee, India, Pp.156.Google Scholar
  10. Sarkar, S. and Kanungo, D.P. 2004. An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS. Photogrammetric Engineering and Remote Sensing 70(5):617–625.Google Scholar
  11. Sarkar S. and Gupta P. K. 2005. Techniques for Landslide Hazard Zonation — Application to Srinagar-Rudraprayag Area of Garhwal Himalaya. Journal of Geological Society of India 65: 217–230.Google Scholar
  12. Sarkar, S., Kanungo, D.P., Patra, A.K., Kumar, P. 2008. GIS Based Spatial Data Analysis for Landslide Susceptibility Mapping. Journal of Mountain Science 5(1):52–62.CrossRefGoogle Scholar
  13. van Westen, C.J. 1993. Application of Geographic Information Systems to Landslide Hazard Zonation. ITC Pub., No. 15, Pp245.Google Scholar
  14. Yin K. L. and Yan T. Z. 1988. Statistical Prediction Models for Slope Instability of Metamorphosed Rocks. Proceedings of the 5th International Symposium on Landslides, Lausanne, 2:1269–1272.Google Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH 2008

Authors and Affiliations

  1. 1.Central Building Research InstituteRoorkeeIndia
  2. 2.Indian Institute of TechnologyRoorkeeIndia

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