A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran

Natural Hazards

Volumn 64, Issue 2, 2012, Pages 1639-1656

  Shirzadi, Ataollah ^a   Saro, Lee ^b   Hyun Joo, Oh ^b   Chapi, Kamran ^a  

^a UNIVERSITY OF KURDISTAN   (Iran)

^b Korea Institute of Geosceince and Mineral Resources   (South Korea)

Author keywords

Iran; Kurdistan; Logistic regression; Rock fall; Salavat Abad; Susceptibility map

Indexed keywords

CURVATURE; DATABASE; FAULT; GIS; LAND USE; LITHOLOGY; MAPPING; REGRESSION ANALYSIS; ROAD; ROCKFALL; SLOPE DYNAMICS;

IRAN; KORDESTAN;

EID: 84867230229     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-012-0321-3     Document Type: Article

References (59)

1. Akgun A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51: 1377-1387.
2. Akgun A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ Geol 54: 1127-1143.
3. Ayalew L, Yamagishi H (2004) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakud-Yahiko Mountains, Central Japan. Geomorphology 65: 15-31.
4. Ayalew L, Yamagishi H, Marui H, Kanno T (2005) Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Eng Geol 81: 432-445.
5. Ayenew T, Barbieri G (2005) Inventory of rock-fall and susceptibility mapping in the Dessie area, northern Ethiopia. Eng Geol 77: 1-15.
6. Aykut A, Necdet T (2011) Mapping erosion susceptibility by a multivariate statistical method: a case study from the Ayvali{dotless}k region, NW Turkey. Comput Geosci 37: 1515-1524.
7. Azzoni A, Barbera GL, Zaninetti A (1995) Analysis and prediction of rock-falls using a mathematical model. J Rock Mech Min Sci Geomech Abst 32: 709-724.
8. Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surf Proc Land 26: 1251-1263.
9. Barredol JI, Benavidesz A, Herhl J, van Westen CJ (2000) Comparing heuristic landslide susceptibility assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain. J Appl Earth Observ Geoinf 2: 9-23.
10. Can T, Nefeslioglu HA, Gokceoglu C, Sonmez H, Duman Y (2005) Susceptibility assessments of shallow earth flows triggered by heavy rainfall at three catchments by logistic regression analysis. Geomorphology 82: 250-271.
11. Carrara A, Cardinali M, Guzzetti F (1992) Uncertainty in assessing landslide susceptibility and risk. J Interdenominat Theol Center (ITC) 2: 172-183.
12. Carrara A, Cardinali M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide susceptibility. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer, Dordrecht, pp 135-175.
13. Chau KT, Chan JE (2005) Regional bias of landslide data in generating susceptibility maps using logistic regression for Hong Kong Island. J Rock Mech Rock Eng 2(4): 280-290.
14. Chau KT, Wong RHC, Lin J, Lee CF (2003) Rock-fall susceptibility analysis for Hong Kong based on Rock-fall Inventory. J Rock Mech Rock Eng 36(5): 383-408.
15. Chau KT, Tang YF, Wong RHC (2004) GIS-Based Rock-fall susceptibility map for Hong Kong. J Rock Mech Min Sci 41(3): 530-542.
16. Chauchan Sh, Sharma M, Arora MK, Gupta NK (2010) Landslide susceptibility zonation through rating derived from artificial neural network. J Appl Erath Observ Geoinf 12: 340-350.
17. Choi J, Oh HJ, Lee HJ, Lee Ch, Lee S (2012) Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Eng Geol 124: 12-23.
18. Chung CF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30: 451-472.
19. Chung CF, Fabbri AG, van Westen CJ (1995) Multivariate regression analysis for landslide susceptibility zonation. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer, Dordrecht, pp 107-133.
20. Corominas J, Santacana N (2003) Stability analysis of the Vallcebre translational slide Eastern Pyrenees (Spain) by means of a GIS. Nat Hazard 30(3): 473-485.
21. Cox DR, Snell EJ (1989) Analysis of binary data, 2nd edn. Chapman and Hall, London.
22. Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42: 213-228.
23. Evans SG, Hungr O (1993) The assessment of rock-fall hazard at the base of talus slopes. Can Geotech J 30: 620-636.
24. Gorseveski PV, Gessler P, Foltz RB (2000) Spatial prediction of Landslide susceptibility using logistic regression and GIS. In: 4th International conference on integrating GIS and environmental modeling, Alberta, 9 pp.
25. Greco R, Sorriso-Valvo M, Catalano E (2007) Logistic regression analysis in the evaluation of mass movement's susceptibility case study: Calabria, Italy. Eng Geol 89: 47-66.
26. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Rock-fall susceptibility evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31: 181-216.
27. Hegg C, Kienholz H (1995) Determining paths of gravity-driven slope processes-the 'Vector Tree Model'. In: Carrara A, Guzetti F (eds) Geographic information systems in assessing natural hazards. Kluwer Academic Publishers, Dordrecht, pp 79-92.
28. Hoek E, Bray W (1981) Rock slope engineering (3rd edn) Institution of Mining and Metallurgy, London. 527 pp. International Society for Rocks Mechanics. 1978. Suggested methods for the quantitative description of discontinuities in rock masses. J Rock Mech Min 15: 319-368.
29. Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York.
30. Hungr O, Evans SG (1988) Engineering evaluation of fragmental rock-fall hazards. Proceedings of the 5th international symposium on landslides in Lausanne, Balkema, Rotterdam, pp 685-690.
31. Jadda M, Shafri HZM, Mansor ShB, Sharifikia M, Pirasteh S (2009) Landslide susceptibility evaluation and factor effect analysis using probabilistic-frequency ratio model. Eur J Sci Res 33(4): 654-668.
32. Kelarestaghi A, Ahmadi H (2009) Landslide susceptibility analysis with a bivariate approach and GIS in northern Iran. Arab J Geosci 2: 95-101.
33. Keylock C, Domaas U (1999) Evaluation of topographic models of rock-fall travel distance for use in hazard applications. Artic Antarctic Alp Res 31(3): 312-320.
34. Kirkby MJ, Statham I (1975) Surface stone movement and scree formation. J Geol 83: 349-362.
35. Kobayashi Y, Harp EL, Kagawa T (1990) Simulation of rock-falls triggered by earthquakes. J Rock Mech Rock Eng 23: 1-20.
36. Lamelas MT, Marinoni O, Hoppe A, Riva J (2008) Doline probability map using logistic regression and GIS technology in the central Ebro Basin (Spain). Environ Geol 54: 963-977.
37. Lee S, Min K (2001) Statistical analysis of Landslide susceptibility at Yongin, Korea. Environ Geol 40: 1095-1113.
38. Lee S, Pradhan B (2006) Probabilistic landslide susceptibility s and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6): 661-672.
39. Lee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50: 847-855.
40. Menard SW (2002) Applied logistic regression analysis, 2nd edn. Sage, Thousand Oaks, 111 pp. Network model. Environmental Earth Sciences. doi: 10. 1007/s12665-009-0245-8 (on-line first).
41. Nagelkerk E (1991) A note on a general definition of the coefficient of determination. Biomelrika 78(3): 691-692.
42. Nandi A, Shakoor A (2009) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng Geol 110: 11-20.
43. 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.
44. Oh HJ, Lee S (2011) Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system. Environ Earth Sci 62: 935-951.
45. Oh HJ, Pradhan B (2011) Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci 37(9): 1264-1276.
46. Oh HJ, Lee S, Chotikasathien W, Kim CH, Kwon JH (2009) Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ Geol 57: 641-651.
47. Pfeiffer TJ, Bowen TD (1989) Computer simulation of rock-falls. Bull Assoc Eng Geol 26(1): 135-146.
48. Pradhan B (2010) Remote sensing and GIS-based landslide susceptibility analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. Adv Space Res 45: 1244-1256.
49. Pradhan B, Lee S (2009) Landslide risk analysis using artificial neural network model focusing on different training sites. Int J Phys Sci 3(11): 1-15.
50. Pradhan B, Lee S (2010) Landslide susceptibility assessment and factor effect: back-propagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modeling. Environ Model Softw 25: 747-759.
51. Reger JP (1979) Discriminate analysis as a possible tool in landslide investigations. Earth Surf Proc Land 4: 267-273.
52. Sassa K, Wang G, Fukuoka H, Wang F, Ochiai T, Sugiyama M, Sekiguchi T (2004) Landslide risk evaluation and susceptibility zoning for rapid and long-travel rock-fall in urban development areas. Landslides 1(3): 221-235.
53. Selby MJ (1982) Hill slope Material and process. Oxford university press, Oxford.
54. Statham I (1976) A scree slope rock-fall model. Earth Surf Process 1: 43-62.
55. Su F, Cui P (2010) Susceptibility assessment of landslides caused by the wenchuan earthquake using a logistic regression model. J Mt Sci 7: 234-245.
56. Suzen ML, Doyuran V (2004a) HA comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45: 665-679.
57. Suzen ML, Doyuran V (2004b) Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Eng Geol 71: 303-352.
58. Wu SS (1985) Rock fall evaluation by computer simulation. Transp Res Rec 1031: 1-5.
59. Yamagishi H (2000) Recent rock-fall in western Hokkaido, Japan. Pure Appl Geophys 157: 1115-1134.