A comparative assessment of information value, frequency ratio and analytical hierarchy process models for landslide susceptibility mapping of a Himalayan watershed, India

This research work presents a comparative performance of geographic information system (GIS)-based statistical models for landslide susceptibility mapping (LSM) of the Himalayan watershed in India. A total of 190 landslide locations covering an area of 14.63 km2 were identified in the watershed, using high-resolution linear imaging self-scanning (LISS IV) data. The causative factors used for LSM of the study area are slope, aspect, lithology, curvature, lineament density, land cover and drainage buffer. The spatial database has been prepared using remote sensing data along with ancillary data like geological maps. LSMs were prepared using information value (InV), frequency ratio (FR) and analytical hierarchy process (AHP) models. The validation results using the prediction rate curve technique show 89.61%, 87.12% and 88.26% area under curve values for FR, AHP and InV models, respectively. Therefore, the frequency ratio (FR) model could be used for LSM in other parts of this hilly terrain.

[1]  Xiuping Jia,et al.  A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS , 2016, Environmental Earth Sciences.

[2]  Fausto Guzzetti,et al.  Rainfall induced landslides in December 2004 in south-western Umbria, central Italy: types, extent, damage and risk assessment , 2006 .

[3]  T. N. Singh,et al.  Evaluating cut slope failure by numerical analysis—a case study , 2008 .

[4]  P. Rai,et al.  LANDSLIDE HAZARD AND ITS MAPPING USING REMOTE SENSING AND GIS , 2014 .

[5]  L. Ayalew,et al.  The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan , 2005 .

[6]  Saro Lee,et al.  Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea , 2007 .

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

[8]  Minoru Yamanaka,et al.  Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence , 2008 .

[9]  R. Srivastava,et al.  Morphology and facies of the alluvial-fan sedimentation in the Kangra Valley, Himachal Himalaya , 1992 .

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

[11]  Virender Kumar,et al.  Landslide hazard mapping along national highway-154A in Himachal Pradesh, India using information value and frequency ratio , 2017, Arabian Journal of Geosciences.

[12]  Mazlan Hashim,et al.  Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment , 2015, Scientific Reports.

[13]  V. Joshi,et al.  Study of Landslide Hazard Zonation in Mandakini Valley, Rudraprayag District, Uttarakhand Using Remote Sensing and GIS , 2015 .

[14]  M. Ramos,et al.  Susceptibility modelling of hummocky terrain distribution using the information value method (Deception Island, Antarctic Peninsula) , 2012 .

[15]  L. Ayalew,et al.  Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan , 2004 .

[16]  A. Nonomura,et al.  A replication of landslide hazard mapping at catchment scale , 2012 .

[17]  C. J. van Westen,et al.  Application of geographic information systems to landslide hazard zonation , 1993 .

[18]  S. L. Kuriakose,et al.  Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview , 2008 .

[19]  Saro Lee,et al.  Probabilistic landslide susceptibility and factor effect analysis , 2005 .

[20]  S. Reis,et al.  A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics , 2011 .

[21]  Biswajeet Pradhan,et al.  Application of an advanced fuzzy logic model for landslide susceptibility analysis , 2010, Int. J. Comput. Intell. Syst..

[22]  R. Soeters,et al.  Landslide hazard and risk zonation—why is it still so difficult? , 2006 .

[23]  R. Bilham,et al.  A note on the Kangra M s = 7 . 8 earthquake of 4 April 1905 , 2022 .

[24]  R. Anbalagan,et al.  Landslide hazard zonation (LHZ) mapping on meso-scale for systematic town planning in mountainous terrain , 2008 .

[25]  S. Bijukchhen,et al.  A comparative evaluation of heuristic and bivariate statistical modelling for landslide susceptibility mappings in Ghurmi–Dhad Khola, east Nepal , 2013, Arabian Journal of Geosciences.

[26]  P. Kayastha,et al.  Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal , 2013, Comput. Geosci..

[27]  Cao Guo.  Digital image enhancement in X-ray cephalometrics , 2001 .

[28]  P. Reichenbach,et al.  Probabilistic landslide hazard assessment at the basin scale , 2005 .

[29]  Florimond De Smedt,et al.  Evaluation of the consistency of landslide susceptibility mapping: a case study from the Kankai watershed in east Nepal , 2013, Landslides.

[30]  B. Pradhan,et al.  Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .

[31]  Yacine Achour,et al.  Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria , 2017, Arabian Journal of Geosciences.

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

[33]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[34]  Honglin He,et al.  Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China , 2013, Natural Hazards.

[35]  W. Z. Savage,et al.  Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning , 2008 .

[36]  N. Bhandary,et al.  Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia , 2016, Geoenvironmental Disasters.

[37]  Shraban Sarkar,et al.  Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas , 2013, Journal of the Geological Society of India.

[38]  B. Pradhan,et al.  Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia , 2010 .

[39]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[40]  D. Cruden.  A simple definition of a landslide , 1991 .

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

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

[43]  M. Komac.  A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in perialpine Slovenia , 2006 .

[44]  C. J. van Westen,et al.  GIS in landslide hazard zonation : a review, with examples from the Andes of Colombia , 1994 .

[45]  R. Anbalagan,et al.  Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand , 2016, Journal of the Geological Society of India.

[46]  K. Solaimani,et al.  Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio , 2017, Environmental Earth Sciences.

[47]  B. Pradhan,et al.  Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia , 2006 .

[48]  Manfred F. Buchroithner,et al.  Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia) , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[49]  W. Z. Savage,et al.  Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Commentary , 2008 .

[50]  C. Westen,et al.  Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India) , 2011 .

[51]  R. Anbalagan,et al.  Landslide hazard and risk assessment mapping of mountainous terrains — a case study from Kumaun Himalaya, India , 1996 .

[52]  D. Varnes.  Landslide hazard zonation: A review of principles and practice , 1984 .

[53]  Saro Lee,et al.  Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea , 2013 .

[54]  D. P. Kanungo,et al.  An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS , 2004 .

[55]  M. Mokarram,et al.  Landslide Susceptibility Mapping Using Fuzzy-AHP , 2018, Geotechnical and Geological Engineering.

[56]  Alfred Stein,et al.  Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models , 2012 .

[57]  Amlan Kumar Patra,et al.  GIS Based Landslide Susceptibility Mapping — A Case Study in Indian Himalaya , 2006 .

[58]  G. Rawat,et al.  Weights of evidence modelling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand , 2007 .

[59]  Y. Mitani,et al.  Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach , 2003 .

[60]  Riheb Hadji,et al.  Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria , 2013 .

[61]  Surendar Kumar,et al.  Seismotectonics of the Kangra region, Northwest Himalaya , 2001 .

[62]  Thomas L. Saaty,et al.  Theory and Applications of the Analytic Network Process: Decision Making With Benefits, Opportunities, Costs, and Risks , 2005 .

[63]  D. Rozos,et al.  Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece , 2011 .

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

[65]  R. Anbalagan,et al.  Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim , 2015, Geoenvironmental Disasters.

[66]  Juan Remondo,et al.  Probabilistic landslide hazard and risk mapping on the basis of occurrence and damages in the recent past , 2004 .

[67]  A. Feinstein.  The Evaluation of Consistency , 1987 .

[68]  Manoj K. Arora,et al.  Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[69]  C. F. Lee,et al.  Landslide characteristics and, slope instability modeling using GIS, Lantau Island, Hong Kong , 2002 .

[70]  P. Frattini,et al.  Regional Landslide Susceptibility Analysis Following the 2015 Nepal Earthquake , 2017 .

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