Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models

The aim of this study is to evaluate the landslide hazards at Selangor area, Malaysia, using Geographic Information System (GIS) and Remote Sensing. Landslide locations of the study area were identified from aerial photograph interpretation and field survey. Topographical maps, geological data, and satellite images were collected, processed, and constructed into a spatial database in a GIS platform. The factors chosen that influence landslide occurrence were: slope, aspect, curvature, distance from drainage, lithology, distance from lineaments, land cover, vegetation index, and precipitation distribution. Landslide hazardous areas were analyzed and mapped using the landslide-occurrence factors by frequency ratio and logistic regression models. The results of the analysis were verified using the landslide location data and compared with probability model. The comparison results showed that the frequency ratio model (accuracy is 93.04%) is better in prediction than logistic regression (accuracy is 90.34%) model.

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

[2]  Douglas Dudycha,et al.  GIS modelling of slope stability in Phewa Tal watershed, Nepal , 1998 .

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

[4]  Piyoosh Rautela,et al.  Landslide risk analysis between Giri and Tons Rivers in Himachal Himalaya (India) , 2000 .

[5]  R. Romeo.  Seismically induced landslide displacements: a predictive model , 2000 .

[6]  R. Jibson,et al.  A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake , 2000 .

[7]  E. Harp,et al.  A method for producing digital probabilistic seismic landslide hazard maps , 2000 .

[8]  C. Gokceoğlu,et al.  Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey , 2000 .

[9]  Lucia Luzi,et al.  Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems , 2000 .

[10]  C. F. Lee,et al.  Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong , 2001 .

[11]  T. Korme,et al.  Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenet Area, Ethiopia , 2001 .

[12]  J. Corominas,et al.  Assessment of shallow landslide susceptibility by means of multivariate statistical techniques , 2001 .

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

[14]  Saro Lee,et al.  Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea , 2002 .

[15]  C. F. Lee,et al.  On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong , 2002 .

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

[17]  Alberto Refice,et al.  Probabilistic modeling of uncertainties in earthquake-induced landslide hazard assessment , 2002 .

[18]  L. Luzi,et al.  The use of predictive modeling techniques for optimal exploitation of spatial databases: a case study in landslide hazard mapping with expert system-like methods , 2002 .

[19]  M. Turrini,et al.  An objective 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) , 2002 .

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

[21]  C. Gokceoğlu,et al.  Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach , 2002 .

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

[23]  K. Shou,et al.  Analysis of the Chiufengershan landslide triggered by the 1999 Chi-Chi earthquake in Taiwan , 2003 .

[24]  L. Luzi,et al.  The application of predictive modeling techniques to landslides induced by earthquakes: the case study of the 26 September 1997 Umbria-Marche earthquake (Italy) , 2003 .

[25]  Saro Lee,et al.  Development of GIS-based geological hazard information system and its application for landslide analysis in Korea , 2003 .

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

[27]  Saro Lee,et al.  Landslide susceptibility analysis using GIS and artificial neural network , 2003 .

[28]  John C. Davis,et al.  Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA , 2003 .

[29]  Saro Lee,et al.  Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea , 2003 .

[30]  Alberto González,et al.  Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain , 2003 .

[31]  Andrea G. Fabbri,et al.  Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .

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

[33]  Saro Lee,et al.  Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea , 2004 .