GIS-Based Landslide Susceptibility Mapping by AHP Method, A Case Study, Dena City, Iran

Slope instability research and susceptibility mapping is a fundamental component of hazard management in decreasing the risk of living with landslides. Landslide susceptibility is defined as the proneness of the terrain to produce slope failures and susceptibility is usually expressed in a cartographic way. The Dena city in Iran is a landslide prone zone because of its own characteristics including the mountainous topography, climate conditions, seismic potential, geology and geomorphology. Landslides have been resulting in damage to roads and villages of this region therefore landslide susceptibility map for this area can save lives and prevent sever damages. In this study, the analytical hierarchy process (AHP) is employed to produce susceptibility maps. For this purpose, eight layers including landslide inventory, raining, lithology-weathering, earthquake, slope, land cover, distance to stream, and distance to road will be considered. Using this method each layer is broken into smaller factors, then these factors are weighted based on their importance, and finally the last prepared layers are assembled and the final map is generated. Commercial software ArcGis is used to produce the layer maps which are used in the production of the landslide susceptibility maps. Based on the scale of the available topographic maps used in this research, the scale of final susceptibility maps is chosen to be 1:50000.

[1]  Saro Lee,et al.  Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data , 2005 .

[2]  Randall W. Jibson,et al.  A Method for Producing Digital Probabilistic Seismic Landslide Hazard Maps: An Example from the Los Angeles, California, Area , 1998 .

[3]  José I. Barredo,et al.  Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain , 2000 .

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

[5]  F. Dai,et al.  Assessment of land-slide susceptibility on the natural terrain of Lantau Island , 2001 .

[6]  Kenneth W. Campbell,et al.  Near-source attenuation of peak horizontal acceleration , 1981 .

[7]  T. Nilsen,et al.  Relative slope stability and land-use planning in the San Francisco Bay region, California , 1979 .

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

[9]  S. Moreiras,et al.  Landslide susceptibility zonation in the Rio Mendoza Valley, Argentina , 2005 .

[10]  P. Reichenbach,et al.  Estimating the quality of landslide susceptibility models , 2006 .

[11]  M. Nyeko.  GIS and Multi-Criteria Decision Analysis for Land Use Resource Planning , 2012 .

[12]  A. Shakoor,et al.  A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses , 2010 .

[13]  O. Hungr,et al.  Landslide Risk Management , 2005 .

[14]  T. Topal,et al.  GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey) , 2003 .

[15]  Stella M. Moreiras.  Landslide incidence zonation in the Rio Mendoza valley, Mendoza Province, Argentina , 2004 .

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

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

[18]  Greg P. Kotze,et al.  Landslide susceptibility and hazard mapping in Australia for land-use planning — with reference to challenges in metropolitan suburbia , 2008 .

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

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

[21]  Luis G. Vargas.  An overview of the analytic hierarchy process and its applications , 1990 .

[22]  C. Gokceoğlu,et al.  Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques , 1996 .

[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]  L. Tham,et al.  Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China , 2008 .

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

[26]  A. Yalçın.  GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations , 2008 .

[27]  E. Mark Lee,et al.  Landslide Risk Assessment , 2023 .

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

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

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

[31]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

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