Landslide Susceptibility Zonation (LSZ) Mapping - A Review

Landslides happen to be the most common natural hazards in the mountain regions and can result in enormous damage to both property and life every year. Hence, identification of landslide-prone areas is essential for safer strategic planning of future developmental activities. Therefore, Landslide Susceptibility Zonation (LSZ) becomes important. The relative importance of factors (weights) and their categories (ratings) plays a vital role in LSZ studies. These weights and ratings can be determined by implementing different approaches, which at times are very subjective in nature. Therefore, developing a suitable approach for determination of weights and ratings objectively and their implementation in a Geographic Information System (GIS) environment for LSZ mapping to spatially predict the actual ground scenario is highly important and is an active research area even today. This article reviews advances in mapping landslide susceptibility zoning and discusses the applicability of a variety of approaches to assess landslide hazards.

[1]  Piotr Jankowski,et al.  Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard , 2003, J. Geogr. Syst..

[2]  P. Aleotti,et al.  Landslide hazard assessment: summary review and new perspectives , 1999 .

[3]  M. Arora,et al.  An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas , 2005 .

[4]  Saro Lee,et al.  Statistical analysis of landslide susceptibility at Yongin, Korea , 2001 .

[5]  Edward H. Shortliffe,et al.  A model of inexact reasoning in medicine , 1990 .

[6]  M. Arora,et al.  GIS-based Landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas , 2002 .

[7]  Saro Lee,et al.  Determination and application of the weights for landslide susceptibility mapping using an artificial neural network , 2004 .

[8]  Debi Prasanna Kanungo,et al.  Landslide hazard zonation : a case study in Garhwal Himalaya,India , 1995 .

[9]  L. Espizua,et al.  Landslide Hazard and Risk Zonation Mapping in the Río Grande Basin, Central Andes of Mendoza, Argentina , 2002 .

[10]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[11]  P. Atkinson,et al.  Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy , 1998 .

[12]  A. Clerici,et al.  A procedure for landslide susceptibility zonation by the conditional analysis method , 2002 .

[13]  Majid H. Tangestani,et al.  Landslide susceptibility mapping using the fuzzy gamma operation in a GIS, Kakan catchment area, Iran , 2003 .

[14]  Lefteri H. Tsoukalas,et al.  Fuzzy and neural approaches in engineering , 1997 .

[15]  R. Anbalagan,et al.  Landslide hazard evaluation and zonation mapping in mountainous terrain , 1992 .

[16]  Manoj Pant,et al.  Landslide hazard mapping based on geological attributes , 1992 .

[17]  R. Soeters,et al.  Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment , 2003 .

[18]  T. Kavzoglu,et al.  Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela , 2005 .

[19]  T. Liang,et al.  RECOGNITION AND IDENTIFICATION , 1978 .

[20]  H. R. Payne,et al.  22. Development of a methodology for landslip potential mapping in the Rhondda Valley , 1991 .

[21]  G. Wieczorek,et al.  Preparing a Detailed Landslide-Inventory Map for Hazard Evaluation and Reduction , 1984 .

[22]  M. Crozier.  Landslides: Causes, Consequences and Environment , 1986 .

[23]  C. Gokceoğlu,et al.  Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) , 2004 .

[24]  Meei-Ling Lin,et al.  A GIS-based potential analysis of the landslides induced by the Chi-Chi earthquake , 2004 .

[25]  R. H. Wright,et al.  Isopleth map of landslide deposits, southern San Francisco Bay region, California , 1974 .

[26]  K. Yin,et al.  Statistical prediction model for slope instability of metamorphosed rocks , 1988 .

[27]  M. K. Arora,et al.  An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas , 2004 .

[28]  M. Abdel-Latif,et al.  Landslide hazard assessment , 1994 .

[29]  Saro Lee,et al.  Landslide susceptibility analysis and verification using the Bayesian probability model , 2002 .

[30]  E. Yesilnacar,et al.  Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey) , 2005 .

[31]  Richard Dikau,et al.  Landslide recognition : identification, movement and courses , 1996 .

[32]  J. McKean,et al.  REMOTE SENSING AND LANDSLIDE HAZARD ASSESSMENT , 1991 .

[33]  Rajat Gupta,et al.  Landslide hazard zoning using the GIS approach—A case study from the Ramganga catchment, Himalayas , 1990 .

[34]  David R. Montgomery,et al.  A process-based model for colluvial soil depth and shallow landsliding using digital elevation data , 1995 .

[35]  P. Reichenbach,et al.  Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy , 1999 .

[36]  S. Sarkar,et al.  STATISTICAL MODELS FOR SLOPE INSTABILITY CLASSIFICATION , 1993 .

[37]  C. Chung,et al.  Probabilistic prediction models for landslide hazard mapping , 1999 .

[38]  G. J. Hearn,et al.  Landslide and erosion hazard mapping at Ok Tedi copper mine, Papua New Guinea , 1995, Quarterly Journal of Engineering Geology.

[39]  Manoj K. Arora,et al.  A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas , 2006 .

[40]  R. Soeters,et al.  Slope instability recognition, analysis, and zonation , 1996 .

[41]  Debi Prasanna Kanungo,et al.  Terrain Analysis and Spatial Assessment of Landslide Hazards in Parts of Sikkim Himalaya , 1996 .

[42]  G. Eyles.  The Distribution and Severity of Present Soil Erosion in New Zealand , 1983 .

[43]  J. N. Hutchinson.  General report: morphological and geotechnical parameters of landslides in relation to geology and hydrogeology : Proc 5th International Symposium on Landslides, Lausanne, 10–15 July 1988V1, P3–35. Publ Rotterdam: A A Balkema, 1988 , 1988 .

[44]  E. E. Brabb,et al.  The world landslide problem , 1991 .

[45]  D. Varnes.  SLOPE MOVEMENT TYPES AND PROCESSES , 1978 .