Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey)

Turkey confronts loss of life and large economic losses due to natural disasters caused by its morphologic structure, geographical placement, and climate characteristics. The Kuzulu (Koyulhisar) landslide, which caused loss of life and property on 17th March 2005, occurred in an area near the country’s most important active fault, the North Anatolian Fault Zone. To mitigate and prevent landslide damages, prediction of landslide susceptibility areas based on probabilistic methods has a great importance. The purpose of this study was to produce a landslide susceptibility map by the logistic regression and frequency ratio methodologies for a 733-km2 area near the North Anatolian Fault Zone from the southeast of Niksar to Resadiye in Tokat province. Conditioning parameters, such as elevation, slope gradient, slope aspect, distance to streams, roads, and faults, drainage density, and fault density, were used in the analysis. Before susceptibility analysis, the landslides observed in the area were separated into two groups for use in analysis and verification, respectively. The susceptibility maps produced had five different susceptibility classes such as very low, low, moderate, high, and very high. To test the performance of the susceptibility maps, area under curve (AUC) approach was used. For the logistic regression method, the AUC value was 0.708; while for the frequency rate method, this value was 0.744. According to these AUC values, it could be concluded that the two landslide susceptibility maps obtained were successful.

[1]  B. Pradhan,et al.  Remote Sensing Data Derived Parameters and its Use in Landslide Susceptibility Assessment Using Shannon’s Entropy and GIS , 2012 .

[2]  Sun Xiaojuan,et al.  Landslide susceptibility analysis based on RS and GIS , 2016 .

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

[4]  B. Pradhan,et al.  Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya , 2014, Arabian Journal of Geosciences.

[5]  A. Akgun A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey , 2012, Landslides.

[6]  J. Chacón,et al.  Engineering geology maps: landslides and geographical information systems , 2006 .

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

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

[9]  C. J. van Westen,et al.  Remote sensing and geographic information systems for geological hazard mitigation , 1993 .

[10]  B. Pradhan,et al.  Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey) , 2012, Environmental Monitoring and Assessment.

[11]  Aykut Akgün A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey , 2012 .

[12]  David M. Cruden,et al.  LANDSLIDE TYPES AND PROCESSES , 1958 .

[13]  Candan Gokceoglu,et al.  The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity , 2005 .

[14]  B. Pradhan,et al.  Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models , 2010 .

[15]  Hassan Ahmadi,et al.  Landslide susceptibility analysis with a bivariate approach and GIS in Northern Iran , 2009 .

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

[17]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[18]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[19]  Aykut Akgün,et al.  GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region , 2007 .

[20]  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.

[21]  Aykut Akgün,et al.  A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods , 2013, Natural Hazards.

[22]  P. Reichenbach,et al.  GIS techniques and statistical models in evaluating landslide hazard , 1991 .

[23]  J. H. Schuenemeyer,et al.  Statistical Methods For Geographers , 1986 .

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

[25]  B. Pradhan,et al.  Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran , 2012 .

[26]  Candan Gokceoglu,et al.  Influence of seismic acceleration on landslide susceptibility maps: a case study from NE Turkey (the Kelkit Valley) , 2013, Landslides.

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

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

[29]  B. Pradhan Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling , 2011, Environmental and Ecological Statistics.

[30]  L. Ermini,et al.  Artificial Neural Networks applied to landslide susceptibility assessment , 2005 .

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

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

[33]  Chong Xu,et al.  Controlling parameter analyses and hazard mapping for earthquake-triggered landslides: an example from a square region in Beichuan County, Sichuan Province, China , 2013, Arabian Journal of Geosciences.

[34]  Biswajeet Pradhan,et al.  A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS , 2013, Comput. Geosci..

[35]  T. Kavzoglu,et al.  Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression , 2014, Landslides.

[36]  Biswajeet Pradhan,et al.  Application of Airborne LiDAR-Derived Parameters and Probabilistic-Based Frequency Ratio Model in Landslide Susceptibility Mapping , 2012 .

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

[38]  Biswajeet Pradhan,et al.  Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of , 2012 .

[39]  A. Clerici,et al.  A GIS-based automated procedure for landslide susceptibility mapping by the Conditional Analysis method: the Baganza valley case study (Italian Northern Apennines) , 2006 .

[40]  V. Clark,et al.  Computer-aided multivariate analysis , 1991 .

[41]  H. A. Nefeslioglu,et al.  Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey) , 2008 .

[42]  D. Varnes,et al.  Landslide types and processes , 2004 .

[43]  A. Erener,et al.  Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway) , 2010 .

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

[45]  Biswajeet Pradhan,et al.  An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm , 2012, Comput. Geosci..

[46]  B. Pradhan,et al.  A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS , 2013 .