A comparative study of statistical index and certainty factor models in landslide susceptibility mapping: a case study for the Shangzhou District, Shaanxi Province, China

Arabian Journal of Geosciences

Volumn 8, Issue 11, 2015, Pages 9079-9088

  Zhao, Chengxi ^a   Chen, Wei ^b   Wang, Qiqing ^a   Wu, Yanli ^a   Yang, Bo ^c  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b XI'AN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Shaanxi Guangxin Mining Development Co   (China)

Author keywords

Certainty factor (CF); Geographic information system (GIS); Landslide; Statistical index (SI); Susceptibility mapping

Indexed keywords

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPHY; COMPARATIVE STUDY; FIELD SURVEY; GEOLOGICAL MAPPING; GIS; INVENTORY; LAND USE PLANNING; LANDSLIDE; MODEL VALIDATION; MOUNTAIN REGION; SLOPE DYNAMICS; STATISTICAL ANALYSIS;

CHINA; SHAANXI; SHANGLUO; SHANGZHOU;

EID: 84945442692     PISSN: 18667511     EISSN: 18667538     Source Type: Journal    
DOI: 10.1007/s12517-015-1891-7     Document Type: Article

References (32)

1. Akgun A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey. Landslides 9:93–106
2. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda Yahiko Mountains, Central Japan. Geomorphology 65:15–31
3. Bui DT, Lofman O, Revhaug I, Dick O (2011) Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression. Nat Hazards 59:1413–1444
4. Cevik E, Topal T (2003) GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey). Environ Geol 44:949–962
5. Chen W, Li WP, Hou EK, Zhao Z, Deng ND, Bai HY, Wang DZ (2014) Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China. Arab J Geosci 7:4499–4511
6. Chung CF, Fabbri AG (1998) Three Bayesian prediction models for landslide hazard. In: Buccianti A, Nardi G, Potenza R (eds) Proceedings of International Association for Mathematical Geology 1998 Annual Meeting (IAMG’98), Ischia, Italy, October 1998. pp. 204–211
7. Devkota KC, Regmi AD, Pourghasemi HR, Yoshida K, Pradhan B, Ryu IC, Dhital MR, Althuwaynee OF (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat Hazards 65:135–165
8. Einstein HH (1988) Special lecture: landslides risk assessment procedure. In: Proceedings of 5th symposium on landslides, Lausanne, vol 2, pp 1075–1090
9. Ercanoglu M, Gokceoglu C (2004) Use of fuzzy relation to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Eng Geol 75:229–250
10. Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98
11. Grozavu A, Plescan S, Patriche CV, Margarint MC, Rosca B (2013) Landslide susceptibility assessment: GIS application to a complex mountainous environment. The Carpathians: integrating nature and society towards sustainability, environmental science and engineering, pp 31–44
12. Guzzetti F (2005) Landslide hazard and risk assessment. PhD Dissertation, Rheinischen Friedrich-Wilhelms-University Bonn, p 389
13. Kundu S, Saha AK, Sharma DC, Pant CC (2013) Remote sensing and GIS based landslide susceptibility assessment using binary logistic regression model: a case study in the Ganeshganga Watershed, Himalayas. J Indian Soc Remote Sens 41(3):697–709
14. Lan HX, Zhou CH, Wang LJ, Zhang HY, Li RH (2004) Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Eng Geol 76:109–128
15. Nefeslioglu HA, Gokceoglu C, Sonmez H (2008) An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng Geol 97:171–191
16. Ozdemir A, Altural T (2013) A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey. J Asian Earth Sci 64:180–197
17. Park S, Choi C, Kim B, Kim J (2013) Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environ Earth Sci 68:1443–1464
18. Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR (2012) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci 6:2351–2365
19. Pourghasemi HR, Moradi HR, Fatemi Aghda SM (2013a) Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Nat Hazards 69:749–779
20. Pourghasemi HR, Pradhan B, Gokceoglu C, Deylami Moezzi K (2013b) A comparative assessment of prediction capabilities of Dempster-Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS. Geomatics Nat Hazards Risk 4(2):93–118
21. Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR (2013c) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci 6:2351–2365
22. Pradhan B (2010) Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. J Indian Soc Remote Sens 38(2):301–320
23. Pradhan B, Oh HJ, Buchroithner M (2010) Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomatics Nat Hazards Risk 1(3):199–223
24. Rautela P, Lakhera RC (2000) Landslide risk analysis between Giri and Tons Rivers in Himachal Himalaya (India). Int J Appl Earth Obs Geoinf 2:153–160
25. Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115:172–187
26. Regmi AD, Devkota KC, Yoshida K, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A (2014) Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya. Arab J Geosci 7(2):725–742
27. Soeters R, van Westen CJ (1996) Slope stability recognition analysis and zonation. In: Turner AK, Schuster RL (eds) Landslides: investigation and mitigation, transportation research board special report 247. National Academy Press, Washington, pp 129–177
28. Solaimani K, Mousavi SZ, Kavian A (2013) Landslide susceptibility mapping based on frequency ratio and logistic regression models. Arab J Geosci 6:2557–2569
29. van Westen CJ, Rengers N, Terlien MTJ, Soeters R (1997) Prediction of the occurrence of slope instability phenomena through GIS based hazard zonation. Geol Rundsch 86:404–414
30. Wang HB, Sassa K (2005) Comparative evaluation of landslide susceptibility in Minamata area, Japan. Environ Geol 47:956–966
31. Wieczorek GF (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Assoc Eng Geol Bull 21(3):337–342
32. Xu C, Xu XW, Dai FC, Saraf AK (2012) Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China. Comput Geosci 46:317–329