Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia

Catena

Volumn 118, Issue , 2014, Pages 124-135

  Umar, Zahrul ^a   Pradhan, Biswajeet ^b   Ahmad, Anuar ^a   Jebur, Mustafa Neamah ^b   Tehrany, Mahyat Shafapour ^b  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Earthquake; Ensemble; Geographic information system (GIS); Indonesia; Landslide; Remote sensing (RS)

Indexed keywords

ACCURACY ASSESSMENT; DECISION MAKING; DISASTER MANAGEMENT; EARTHQUAKE DAMAGE; EARTHQUAKE MAGNITUDE; GEOLOGICAL MAPPING; GIS; LANDSLIDE; LINEAMENT; PEAK ACCELERATION; REMOTE SENSING;

INDONESIA; WEST SUMATRA;

EID: 84895834788     PISSN: 03418162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.catena.2014.02.005     Document Type: Article

References (72)

1. Akgun A., Sezer E.A., Nefeslioglu H.A., Gokceoglu C., Pradhan B. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Comput. Geosci. 2012, 38:23-34.
2. Ayalew L., Yamagishi H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 2005, 65:15-31.
3. Baeza C., Corominas J. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surf. Process. Landf. 2001, 26:1251-1263.
4. Bai S., Wang J., Bell R., Glade T. Distribution and susceptibility assessments of landslide triggered by Wenchuan earthquake at Longnan. Proceedings of the International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011), Melbourne, Australia 2012.
5. Barredo J., Benavides A., Hervás J., van Westen C.J. Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain. Int. J. Appl. Earth Obs. Geoinf. 2000, 2:9-23.
6. Benediktsson J., Swain P.H., Ersoy O.K. Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Trans. Geosci. Remote Sens. 1990, 28:540-552.
7. Bui D.T., Pradhan B., Lofman O., Revhaug I., Dick Ø.B. Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province. Vietnam. Nat. Hazards 2013, 66:707-730.
8. Chau K., Wu C., Li Y. Comparison of several flood forecasting models in Yangtze River. J. Hydrol. Eng. 2005, 10:485-491.
9. Chen F.W., Liu C.W. Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ. 2012, 10:209-222.
10. Chi K.H., Park N.W., Chung C.J. Fuzzy logic integration for landslide hazard mapping using spatial data from Boeun, Korea. International Archives of Photogrammetry Remote Sensing and Spatial. Inf. Sci. 2002, 34:54-59.
11. Choi J., Oh H.J., Won J.S., Lee S. Validation of an artificial neural network model for landslide susceptibility mapping. Environ. Earth Sci. 2010, 60:473-483.
12. Fukushima Y., Tanaka T. A new attenuation relation for peak horizontal acceleration of strong earthquake ground motion in Japan. Bull. Seismol. Soc. Am. 1990, 80:757-783.
13. Ghalkhani H., Golian S., Saghafian B., Farokhnia A., Shamseldin A. Application of surrogate artificial intelligent models for real-time flood routing. Water Environ. J. 2012, 10.1111/j.1747-6593.2012.00344.x.
14. Gupta R.P., Kanungo D., Arora M.K., Sarkar S. Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps. Int. J. Appl. Earth Obs. Geoinf. 2008, 10:330-341.
15. Islam I., Khan H. Spatial patterns of inequality and poverty in Indonesia. Bull. Indones. Econ. Stud. 1986, 22:80-102.
16. Jebur M.N., Pradhan B., Tehrany M.S. Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique. Geosci. J. 2013, 1-8. 10.1007/s12303-013-0053-8.
17. Jebur M.N., Pradhan B., Tehrany M.S. Using ALOS PALSAR derived high-resolution DInSAR to detect slow-moving landslides in tropical forest: Cameron Highlands, Malaysia. Geomat. Nat. Haz. Risk 2013, 1-19. 10.1080/19475705.2013.860407.
18. Karig D.E. Evolution of arc systems in the western Pacific. Annu. Rev. Earth Planet. Sci. 1974, 2:51.
19. Konadu D., Fosu C. Digital elevation models and GIS for watershed modelling and flood prediction-a case study of Accra Ghana. Appropriate Technologies for Environmental Protection in the Developing World 2009, 325-332. Springer, Netherlands.
20. Lee S., Dan N.T. Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides. Environ. Geol. 2005, 48:778-787.
21. Lee S., Pradhan B. Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J. Earth Syst. Sci. 2006, 115:661-672.
22. Lee S., Pradhan B. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides 2007, 4:33-41.
23. Lee S., Sambath T. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ. Geol. 2006, 50:847-855.
24. Leo G.W., Hedge C.E., Marvin R.F. Geochemistry, strontium isotope data, and potassium-argon ages of the andesite-rhyolite association in the Padang area, west Sumatra. J. Volcanol. Geotherm. Res. 1980, 7:139-156.
25. Liu Y., De Smedt F. Flood modeling for complex terrain using GIS and remote sensed information. Water Resour. Manag. 2005, 19:605-624.
26. Luzi L., Pergalani F., Terlien M.T.J. Slope vulnerability to earthquakes at sub-regional scale, using frequency techniques and geographic information systems. Eng. Geol. 2000, 58:313-336.
27. Magliulo P., Di Lisio A., Russo F., Zelano A. Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy. Nat. Hazards 2008, 47:411-435.
28. Maier H.R., Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ. Modell. Softw. 2000, 15:101-124.
29. McCaffrey R. Slip vectors and stretching of the Sumatran fore arc. Geology 1991, 19:881-884.
30. McFadden D. Conditional logit analysis of qualitative choice analysis. Frontiers in Econometrics 1974, 105-142. Academic Press, New York. P. Zarembka (Ed.).
31. Mohammady M., Pourghasemi H.R., Pradhan B. Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models. J. Asian Earth Sci. 2012, 61:221-236.
32. Oh H.J., Pradhan B. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput. Geosci. 2011, 37:1264-1276.
33. Oh H.J., Lee S., Soedradjat G.M. Quantitative landslide susceptibility mapping at Pemalang area, Indonesia. Environ. Earth Sci. 2010, 60:1317-1328.
34. Ozdemir A., Altural T. 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. 2012, 64:180-197.
35. Park S., Choi C., Kim B., Kim J. Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. J. Asian Earth Sci. 2013, 68:1443-1464.
36. Pourghasemi H.R., Pradhan B., Gokceoglu C. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat. Hazards 2012, 63:965-996.
37. Pourghasemi H.R., Jirandeh A.G., Pradhan B., Xu C., Gokceoglu C. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran. J. Asian Earth Sci. 2013, 122:349-369.
38. Pradhan B. Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. Adv. Space Res. 2010, 45:1244-1256.
39. Pradhan B. Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia. Environ. Earth Sci. 2011, 63:329-349.
40. Pradhan B. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput. Geosci. 2013, 51:350-365.
41. Pradhan B., Buchroithner M.F. Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environ. Eng. Geosci. 2010, 16:107-126.
42. Pradhan B., Lee S. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ. Earth Sci. 2010, 60:1037-1054.
43. Pradhan B., Lee S. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 2010, 7:13-30.
44. Pradhan B., Youssef A.M., Varathrajoo R. Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model. Geospatial. Inf. Sci. 2010, 13(2):93-102.
45. Pradhan B., Mansor S., Pirasteh S., Buchroithner M.F. Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model. Int. J. Remote. Sens. 2011, 32(14):4075-4087.
46. Prawirodirdjo L., Bock Y., Genrich J., Puntodewo S., Rais J., Subarya C., Sutisna S. One century of tectonic deformation along the Sumatran fault from triangulation and Global Positioning System surveys. J. Geophys. Res. Solid Earth 2000, 105:28343-28361.
47. Saha A.K., Gupta R.P., Sarkar I., Arora M.K., Csaplovics E. An approach for GIS-based statistical landslide susceptibility zonation-with a case study in the Himalayas. Landslides 2005, 2:61-69.
48. Sarkar S., Kanungo D. An integrated approach for landslide susceptibility mapping using remote sensing and GIS. Photogramm. Eng. Remote. Sens. 2004, 70:617-626.
49. Sidle R.C., Ochiai H. Landslides: Processes, Prediction, and Land Use 2006, American Geophysical Union, Washington, (312 pp.).
50. Sieh K., Natawidjaja D. Neotectonics of the Sumatran fault, Indonesia. J. Geophys. Res. Solid Earth 2000, 105:28295-28326.
51. Subramanian N., Ramanathan R. A review of applications of analytic hierarchy process in operations management. Int. J. Prod. Econ. 2012, 138:215-241.
52. Tien Bui D., Pradhan B., Lofman O., Revhaug I. Landslide susceptibility assessment in Vietnam using support vector machines, decision tree, and Naive Bayes Models. Math. Probl. Eng. 2012, 2012:1-26.
53. Tien Bui D., Pradhan B., Lofman O., Revhaug I., Dick O.B. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput. Geosci. 2012, 45:199-211.
54. Tien Bui D., Pradhan B., Lofman O., Revhaug I., Dick O.B. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: a comparisonof the Levenberg-Marquardt and Bayesian regularized neural networks. Geomorphology 2012, 171:12-29.
55. Tien Bui D., Pradhan B., Lofman O., Revhaug I., Dick O.B. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions.a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena 2012, 96:28-40.
56. Tilmant A., Vanclooster M., Duckstein L., Persoons E. Comparison of fuzzy and nonfuzzy optimal reservoir operating policies. J. Water Resour. Plan. Manag. 2002, 128:390-398.
57. Van Asch T.W., Buma J., Van Beek L. A view on some hydrological triggering systems in landslides. Geomorphology 1999, 30:25-32.
58. Van Westen C.J. The modelling of landslide hazards using GIS. Surv. Geophys. 2000, 21:241-255.
59. Van Westen C., Rengers N., Soeters R. Use of geomorphological information in indirect landslide susceptibility assessment. Nat. Hazards 2003, 30:399-419.
60. van Westen C.J., Castellanos E., Kuriakose S.L. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng. Geol. 2008, 102:112-131.
61. Wan S., Lei T.C. A knowledge-based decision support system to analyze the debris-flow problems at Chen-Yu-Lan River, Taiwan. Knowl.-Based Syst. 2009, 22:580-588.
62. Wan S., Lei T., Chou T.Y. A novel data mining technique of analysis and classification for landslide problems. Nat. Hazards 2010, 52:211-230.
63. Wan S., Lei T.C., Chou T.Y. An enhanced supervised spatial decision support system of image classification: consideration on the ancillary information of paddy rice area. Int. J. Geogr. Inf. Sci. 2010, 24:623-642.
64. Wan S., Lei T.C., Chou T.Y. A landslide expert system: image classification through integration of data mining approaches for multi-category analysis. Int. J. Geogr. Inf. Sci. 2012, 26:747-770.
65. Westen C.V., Terlien M. An approach towards deterministic landslide hazard analysis in GIS. A case study from Manizales (Colombia). Earth Surf. Process. Landf. 1996, 21:853-868.
66. Westerveld J. Eruptions of acid pumice tuffs and related phenomena along the Great Sumatran fault-trough system. Proceedings of the Pacific Science Congress, New Zealand 1953.
67. Wieczorek G. Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bull. Assoc. Eng. Geol. 1984, 21:337-342.
68. Wilkinson S., Alarcon J., Mulyani R., Whittle J., Chian S. Observations of damage to buildings from M w 7.6 Padang earthquake of 30 September 2009. Nat. Hazards 2012, 63:521-547.
69. Yilmaz I. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Comput. Geosci. 2009, 35:1125-1138.
70. Yin Y., Wang F., Sun P. Landslide hazards triggered by the 2008 Wenchuan earthquake, Sichuan, China. Landslides 2009, 6:139-152.
71. s>8.0 earthquake from Anxian to Beichuan. J. Asian Earth Sci. 2010, 37:452-459.
72. Zhou J.W., Cui P., Yang X.G. Dynamic process analysis for the initiation and movement of the Donghekou landslide-debris flow triggered by the Wenchuan earthquake. J. Mt. Sci. 2013, 76:70-84.