A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

Geomatics, Natural Hazards and Risk

Volumn 6, Issue 3, 2015, Pages 243-271

  Bui, Dieu Tien ^a,b   Pradhan, Biswajeet ^d   Revhaug, Inge ^a   Nguyen, Duy Ba ^b   Pham, Ha Viet ^c   Bui, Quy Ngoc ^b  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b HANOI UNIVERSITY OF MINING AND GEOLOGY   (Viet Nam)

^c Vietnam Institute of Geosciences and Mineral Resources   (Viet Nam)

^d UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; FORECASTING; FUZZY SET THEORY; LAND USE; LANDSLIDES; LITHOLOGY; RAIN; UNCERTAINTY ANALYSIS;

FUZZY LOGIC MODEL; FUZZY MEMBERSHIP VALUES; LANDSLIDE INVENTORIES; LANDSLIDE SUSCEPTIBILITY; PREDICTION CAPABILITY; SHALLOW LANDSLIDE; SPATIAL PREDICTION; SUSCEPTIBILITY MAPS;

FUZZY LOGIC;

EID: 84924855427     PISSN: 19475705     EISSN: 19475713     Source Type: Journal    
DOI: 10.1080/19475705.2013.843206     Document Type: Article

References (86)

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. Ballabio C, Sterlacchini S. 2012. Support vector machines for landslide susceptibility mapping: the Staffora River Basin Case Study, Italy. Math Geosciences. 44:47–70.
4. Biswajeet P, Saied P. 2010. Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide susceptibility mapping. Disaster Adv. 3:26–34.
5. Blais-Stevens A, Behnia P, Kremer M, Page A, Kung R, Bonham-Carter G. 2012. Landslide susceptibility mapping of the Sea to Sky transportation corridor, British Columbia, Canada: comparison of two methods. Bull Eng Geol Environ. 71:447–466.
6. Bonham-Carter GF 1994. Geographic information systems for geoscientists: modelling with GIS. Oxford: Pegamon Press.
7. Brenning A. 2005. Spatial prediction models for landslide hazards: review, comparison and evaluation. Nat Hazard Earth Syst Sci. 5:853–862.
8. Carranza EJM, Hale M. 2001. Geologically constrained fuzzy mapping of gold mineralization potential, Baguio District, Philippines. Nat Resour Res. 10:125–136.
9. Carranza EJM, Hale M. 2002. Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines. Ore Geol Rev. 22:117–132.
10. Carranza EJM, Hale M, Faassen C. 2008. Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping. Ore Geol Rev. 33:536–558.
11. Carranza EJM, Woldai T, Chikambwe EM. 2005. Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi District, Zambia. Nat Resour Res. 14:47–63.
12. Chacon J, Irigaray C, Fernandez T, El Hamdouni R. 2006. Engineering geology maps: landslides and geographical information systems. Bull Eng Geol Environ. 65:341–411.
13. Champati ray PKC, Dimri S, Lakhera RC, Sati S. 2007. Fuzzy-based method for landslide hazard assessment in active seismic zone of Himalaya. Landslides. 4:101–111.
14. Cheng Q, Agterberg FP. 1999. Fuzzy weights of evidence method and its application in mineral potential mapping. Nat Resour Res. 8:27–35.
15. Chung C-J, Fabbri AG. 2008. Predicting landslides for risk analysis — spatial models tested by a cross-validation technique. Geomorphology. 94:438–452.
16. Chung CJF, Fabbri AG. 2003. Validation of spatial prediction models for landslide hazard mapping. Nat Hazards. 30:451–472.
17. Corominas J, Moya J. 2008. A review of assessing landslide frequency for hazard zoning purposes. Eng Geol. 102:193–213.
18. Dai FC, Lee CF, Ngai YY. 2002. Landslide risk assessment and management: an overview. Eng Geol. 64:65–87.
19. Demicco RV, George JK. 2003. Fuzzy logic in geology. San Diego: Academic Press.
20. Dewitte O, Chung C-J, Cornet Y, Daoudi M, Demoulin A. 2010. Combining spatial data in landslide reactivation susceptibility mapping: a likelihood ratio-based approach in W Belgium. Geomorphology. 122:153–166.
21. Ercanoglu M, Gokceoglu C. 2004. Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Eng Geol. 75:229–250.
22. Farrokhnia A, Pirasteh S, Pradhan B, Pourkermani M, Arian M. 2011. A recent scenario of mass wasting and its impact on the transportation in Alborz Mountains, Iran using geo-information technology. Arabian J Geosciences. 4:1337–1349.
23. Glade T, Crozier MJ. 2005. A review of scale dependency in landslide hazard and risk analysis. In: Glade T, Anderson M, Crozier MJ, editors. Landslide hazard and risk. England: John Wiley and Sons Ltd; p. 75–138.
24. Gorsevski PV, Jankowski P, Gessler PE. 2005. Spatial prediction of landslide hazard using Fuzzy k-means and Dempster-Shafer Theory. Trans GIS. 9:455–474.
25. Guzzetti F, Carrara A, Cardinali M, Reichenbach P. 1999. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology. 31:181–216.
26. Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F. 2005. Probabilistic landslide hazard assessment at the basin scale. Geomorphology. 72:272–299.
27. Kanungo D, Arora M, Gupta R, Sarkar S. 2008. Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas. Landslides. 5:407–416.
28. Kanungo DP, Arora MK, Sarkar S, Gupta RP. 2009. A fuzzy set based approach for integration of thematic maps for landslide susceptibility zonation. Georisk: Assess Manag Risk Engineered Syst Geohazards. 3:30–43.
29. Kawabata D, Bandibas J. 2009. Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN). Geomorphology. 113:97–109.
30. Kayastha P. 2012. Application of fuzzy logic approach for landslide susceptibility mapping in Garuwa sub-basin, East Nepal. Front Earth Sci. 6:420–432.
31. Lee S. 2007. Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ Geol. 52:615–623.
32. Malamud BD, Turcotte DL, Guzzetti F, Reichenbach P. 2004. Landslide inventories and their statistical properties. Earth Surface Processes Landforms. 29:687–711.
33. Marjanovic M, Kovacevic M, Bajat B, Voženílek V. 2011. Landslide susceptibility assessment using SVM machine learning algorithm. Eng Geol. 123:225–234.
34. Melchiorre C, Castellanos Abella EA, van Westen CJ, Matteucci M. 2011. Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba. Comput Geosciences. 37:410–425.
35. Melchiorre C, Matteucci M, Azzoni A, Zanchi A. 2008. Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology. 94:379–400.
36. Merrett HC, Chen WW. 2012. Applications of geographical information systems and remote sensing in natural disaster hazard assessment and mitigation in Taiwan. Geomatics, Nat Hazards Risk. 4:145–163.
37. Mohammady M, Pourghasemi HR, Pradhan B. 2012. Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models. J Asian Earth Sci. 61:221–236.
38. Nazari A, Salarirad M, Aghajani Bazzazi A. 2012. Landfill site selection by decision-making tools based on fuzzy multi-attribute decision-making method. Environ Earth Sci. 65:1631–1642.
39. 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.
40. Oh H-J, Pradhan B. 2011. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosciences. 37:1264–1276.
41. Peche R, Rodriguez E. 2012. Development of environmental quality indexes based on fuzzy logic. A case study. Ecol Indicators. 23:555–565.
42. Pirasteh S, Pradhan B, Mahmoodzadeh A. 2009. Stability mapping and landslide recognition in Zagros Mountain South West Iran: a case study. Disaster Adv. 2:47–53.
43. Pourghasemi H, Pradhan B, Gokceoglu C. 2012a. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards. 63:965–996.
44. Pourghasemi H, Pradhan B, Gokceoglu C, Moezzi KD. 2012b. A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS. Geomatics, Nat Hazards Risk. 4:93–118.
45. Pradhan B. 2010. Application of an advanced fuzzy logic model for landslide susceptibility analysis. Int J Comput Intelligence Sys. 3:370–381.
46. Pradhan B. 2011a. Manifestation of an advanced fuzzy logic model coupled with geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling. Environ Ecol Stat. 18:471–493.
47. Pradhan B. 2011b. 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. 63:329–349.
48. Pradhan B. 2013. 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 Geosciences. 51:350–365.
49. Pradhan B, Lee S. 2010. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Modelling Software. 25:747–759.
50. Pradhan B, Oh H-J, Buchroithner M. 2010a. Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomatics, Nat Hazards Risk. 1:199–223.
51. Pradhan B, Sezer EA, Gokceoglu C, Buchroithner MF. 2010b. Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron Highlands, Malaysia). IEEE Trans Geoscience Remote Sensing. 48:4164–4177.
52. Quoc NK, Dan TH, Hung L, Huyen DT. 1992. Geological map (Binh Gia group). Hanoi: Vietnam Institute of Geosciences and Mineral Resources.
53. Ross TJ. 2010. Fuzzy logic with engineering applications. West Sussex: John Wiley & Sons Ltd.
54. Saito H, Nakayama D, Matsuyama H. 2009. Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan. Geomorphology. 109:108–121.
55. Sezer EA, Pradhan B, Gokceoglu C. 2011. Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia. Expert Syst Appl. 38:8208–8219.
56. Shujun S, Baolei Z, Wenlan F, Wancun Z. 2006. Using fuzzy relations and GIS method to evaluate debris flow hazard. Wuhan Univ J Nat Sci. 11:875–881.
57. Srivastava V, Srivastava HB, Lakhera RC. 2010. Fuzzy gamma based geomatic modelling for landslide hazard susceptibility in a part of Tons river valley, northwest Himalaya, India. Geomatics, Nat Hazards Risk. 1:225–242.
58. Tam VT, Tuy PK, Nam NX, Tuan LC, Tuan ND, Trung ND, Thang DV, Ha PV. 2006. Geohazard investigation in some key areas of the northern mountainous area of Vietnam for the planning of socio-economic development. Hanoi: Vietnam Institute of Geosciences and Mineral Resources.
59. Tangestani MH. 2009. A comparative study of Dempster–Shafer and fuzzy models for landslide susceptibility mapping using a GIS: an experience from Zagros Mountains, SW Iran. J Asian Earth Sci. 35:66–73.
60. Tien Bui D, Ho TC, Revhaug I, Pradhan B, Nguyen D. 2013. Landslide susceptibility mapping along the national road 32 of Vietnam using GIS-based J48 decision tree classifier and its ensembles. In: Buchroithner M, Prechtel N, Burghardt D, editors. Cartography from pole to pole. Berlin-Heidelberg: Springer; p. 303–317.
61. Tien Bui D, Pradhan B, Lofman O, Revhaug I. 2012. Landslide susceptibility assessment in Vietnam using support vector machines, decision tree and Naïve Bayes models. Math Probl Eng. 2012:1–26.
62. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012a. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput Geosciences. 45:199–211.
63. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012b. Application of support vector machines in landslide susceptibility assessment for the Hoa Binh province (Vietnam) with kernel functions analysis. In: Seppelt R, Voinov AA, Lange S, et al., editors. Proceedings of the iEMSs Sixth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2012). International Environmental Modelling and Software Society, Leipzig, Germany; 2012 Jul.
64. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012c. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: a comparison of the Levenberg-Marquardt and Bayesian regularized neural networks. Geomorphology. 171–172:12–29.
65. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012d. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput Geosciences. 45:199–211.
66. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012e. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena. 96:28–40.
67. Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick O. 2013. Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam. Nat Hazards. 66:707–730.
68. Truong PD, Nghi TH, Phuc PN, Quyet HB, The NV. 2009. Geological mapping and mineral resource investigation at 1:50 000 scale for Lang Son area. Hanoi: Northern Geological Mapping Division of Vietnam.
69. Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinali F. 2010. A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Comput Geosciences. 36:1101–1114.
70. Van Den Eeckhaut M, Reichenbach P, Guzzetti F, Rossi M, Poesen J. 2009. Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium. Nat Hazards Earth Syst Sci. 9:507–521.
71. Van Westen CJ, Castellanos E, Kuriakose SL. 2008. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng Geol. 102:112–131.
72. Van Westen CJ, Rengers N, Soeters R. 2003. Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards. 30:399–419.
73. Varnes DJ. 1984. Landslide hazard zonation: a review of principles and practice. Paris: UNESCO.
74. Wan S, Lei TC, Chou TY. 2010. A novel data mining technique of analysis and classification for landslide problems. Nat Hazards. 52:211–230.
75. Wan S, Lei TC, Chou TY. 2012. A landslide expert system: image classification through integration of data mining approaches for multi-category analysis. Int J Geographical Inf Sci. 26:747–770.
76. Wan S, Lei TC, Huang PC, Chou TY. 2008. The knowledge rules of debris flow event: a case study for investigation Chen Yu Lan river, Taiwan. Eng Geol. 98:102–114.
77. Wan SA. 2009. A spatial decision support system for extracting the core factors and thresholds for landslide susceptibility map. Eng Geol. 108:237–251.
78. Xu C, Dai F, Xu X, Lee YH. 2012. GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China. Geomorphology. 145–146:70–80.
79. Yao X, Tham LG, Dai FC. 2008. Landslide susceptibility mapping based on support vector machine: a case study on natural slopes of Hong Kong, China. Geomorphology. 101:572–582.
80. Yeon Y-K, Han J-G, Ryu KH. 2010. Landslide susceptibility mapping in Injae, Korea, using a decision tree. Eng Geol. 116:274–283.
81. Yilmaz I. 2009. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Comput Geosciences. 35:1125–1138.
82. Yilmaz I. 2010. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci. 61:821–836.
83. Yilmaz I, Kaynar O. 2011. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils. Expert Syst Appl. 38:5958–5966.
84. Zare M, Pourghasemi H, Vafakhah M, Pradhan B. 2013. Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms. Arabian J Geosciences. 6:2873–2888.
85. Zimmermann HJ. 1991. Fuzzy set theory - and its applications. Dordrecht: Kluwer Academic.
86. Zimmermann HJ. 1996. Fuzzy set theory and its application. Dordrecht: Kluwer Academic.