An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic

Geomorphology

Volumn 214, Issue , 2014, Pages 128-138

  Zhu, A Xing ^a,b,c   Wang, Rongxun ^b   Qiao, Jianping ^d   Qin, Cheng Zhi ^c   Chen, Yongbo ^d   Liu, Jing ^b   Du, Fei ^b   Lin, Yang ^c   Zhu, Tongxin ^e  

^a NANJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^d INSTITUTE OF MOUNTAIN HAZARDS AND ENVIRONMENT   (China)

^e UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

Expert knowledge based approach; Fuzzy logic; Geographic information system; Landslide susceptibility mapping

Indexed keywords

EXPERT SYSTEM; FUZZY MATHEMATICS; GIS; LANDSLIDE; MAPPING;

CHINA; CHONGQING; KAIXIAN;

EID: 84899062810     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2014.02.003     Document Type: Article

References (60)

1. Aleotti P., Chowdhury R. Landslide hazard assessment: summary review and new perspectives. Bull. Eng. Geol. Environ. 1999, 58:21-44.
2. Alexander D.E. A brief survey of GIS in mass-movement studies, with reflections on theory and methods. Geomorphology 2008, 94:261-267.
3. Atkinson P.M., Massari R. Generalized linear modeling of landslide susceptibility in the Central Apennines, Italy. Comput. Geosci. 1998, 24:373-385.
4. 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.
5. Band L.E. Extraction of channel networks and topographic parameters from digital elevation data. Channel Network Hydrology 1993, 13-42. John Wiley & Sons Ltd., Chichester. K. Beven, M.J. Kirkby (Eds.).
6. Brabb E.E. Innovative approaches to landslide hazard and risk mapping. Proceedings of the Fourth International Symposium on Landslides 1984, 1:307-324.
7. Brenning A. Spatial prediction models for landslide hazards: review, comparison and evaluation. Nat. Hazards Earth Syst. Sci. 2005, 5:853-862.
8. Burrough P.A. Fuzzy mathematical methods for soil survey and lands evaluation. J. Soil Sci. 1989, 40:477-492.
9. Burrough P.A., Wilson J.P., Van Gaans P.F.M., Hansen A.J. Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone area, USA. Landsc. Ecol. 2001, 16:523-546.
10. Carrara A. Landslide hazard mapping by statistical method: a "black-box" model approach. Natural Disasters in European Mediterranean Countries, Colombella, Perugia, Italy 1988, 205-224. F. Siccardi, R.L. Bras (Eds.).
11. Carrara A., Pike R.J. GIS technology and models for assessing landslide hazard and risk. Geomorphology 2008, 94:257-260.
12. Carrara A., Cardinali M., Detti R., Guzzetti F., Pasqui V., Reichenbach P. GIS techniques and statistical models in evaluating landslide hazard. Earth Surf. Process. Landf. 1991, 16:427-445.
13. Carrara A., Cardinali M., Guzzetti F., Reichenbach P. GIS-based techniques for mapping landslide hazard. Geographical Information Systems in Assessing Natural Hazards 1995, 135-175. Kluwer Academic Publishers, Dordrecht, The Netherlands. A. Carrara, F. Guzzetti (Eds.).
14. Chung C.F., Fabbri A.G., van Westen C.J. Multivariate regression analysis for landslide hazard zonation. Geographical Information Systems in Assessing Natural Hazards 1995, 107-133. Kluwer Academic Publishers, Dordrecht, The Netherlands. A. Carrara, F. Guzzetti (Eds.).
15. Dai F.C., Lee C.F. Terrain-based mapping of landslide susceptibility using a geographical information system: a case study. Can. Geotech. J. 2001, 38:911-923.
16. Dai F.C., Lee C.F. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 2002, 42:213-228.
17. Dai F.C., Lee C.F., Ngai Y.Y. Landslide risk assessment and management: an overview. Eng. Geol. 2002, 64:65-87.
18. Donati L., Turrini M.C. An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy). Eng. Geol. 2002, 63:277-289.
19. Ermini L., Catani F., Casagli N. Artificial Neural Network applied to landslide susceptibility assessment. Geomorphology 2005, 66:327-343.
20. Fabbri A.G., Chung C.F., Cendrero A., Remondo J. Is prediction of future landslides possible with a GIS?. Nat. Hazards 2003, 30:487-499.
21. Fisher P. Knowledge-based approaches to determining and correcting areas of unreliability in geographic databases. Accuracy of Spatial Databases 1989, 45-54. Taylor & Francis, London. M. Goodchild, S. Gopal (Eds.).
22. Fisher P., Pathirana S. The evaluation of fuzzy membership of land cover classes in the suburban zone. Remote Sens. Environ. 1990, 34:121-132.
23. Fourniadis I.G., Liu J.G., Mason P.J. Landslide hazard assessment in the Three Gorges area, China, using ASTER imagery: Wushan-Badong. Geomorphology 2007, 84:126-144.
24. Guzzetti F., Carrara A., Cardinali M., Reichenbach P. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 1999, 31:181-216.
25. Guzzetti F., Reichenbach P., Cardinali M., Galli M., Ardizzone F. Probabilistic landslide hazard assessment at the basin scale. Geomorphology 2005, 72:272-299.
26. Hudson B.D. Concepts of soil mapping and interpretation. Soil Surv. Horiz. 1990, 31:63-73.
27. Hudson B.D. The soil survey as paradigm-based science. Soil Sci. Soc. Am. J. 1992, 56:836-841.
28. Kelly G.A. The Psychology of Personal Constructs 1955, Norton, New York, (1218 pp.).
29. Kelly G.A. A brief introduction to personal construct theory. Perspectives in Personal Construct Theory 1970, 1-29. Academic Press, London. D. Bannister (Ed.).
30. Kirkby M.J., Naden P.S., Burt T.P., Butcher D.P. Computer Simulation in Physical Geography 1987, John Wiley & Sons, New York, (227 pp.).
31. Lan H.X., Zhou C.H., Wang L.J., Zhang H.Y., Li R.H. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Eng. Geol. 2004, 76:109-128.
32. Lee S., Choi J. Landslide susceptibility mapping using GIS and the weight-of-evidence model. Int. J. Geogr. Inf. Sci. 2004, 18:789-814.
33. Lee S., Chwae U., Min K. Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea. Geomorphology 2002, 46:149-162.
34. Liu J.G., Mason P.J., Clerici N., Chen S., Davis A., Miao F., Deng F.L., Liang L. Landslide hazard assessment in the Three Gorges area of the Yangtze River using ASTER imagery: Zigui-Badong. Geomorphology 2004, 61:171-187.
35. Luger G.F. Artificial Intelligence: Structures and Strategies for Complex Problem Solving 2005, Addison-Wesley, New York, (903 pp.).
36. MacMillan R.A., Pettapiece W.W., Nolan S.C., Goddard T.W. A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic. Fuzzy Sets Syst. 2000, 113:81-109.
37. Mitchell T.M. Machine Learning 1997, McGraw-Hill Companies, Inc., New York, (414 pp.).
38. Oguchi T. Drainage density and relative relief in humid steep mountains with frequent slope failure. Earth Surf. Process. Landf. 1997, 22:107-120.
39. Remondo J., Oguchi T. GIS and SDA applications in geomorphology. Geomorphology 2009, 111:1-3.
40. Robinson V. Implications of fuzzy set theory for geographic databases. Comput. Environ. Urban. Syst. 1988, 12:89-98.
41. Russell S., Norvig P. Artificial Intelligence: A Modern Approach 1995, Prentice Hall, Upper Saddle River, Englewood Cliffs, N.J., (932 pp.).
42. Saito H., Nakayama D., Matsuyama H. Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: the Akaishi Mountains, Japan. Geomorphology 2009, 109:108-121.
43. Sanchez M., Farias P., Rodrigue A., Duarte R. Landslide development in a coastal valley in Northern Spain: conditioning factors and temporal occurrence. Geomorphology 1999, 30:115-123.
44. Schmidt J., Hewitt A. Fuzzy land element classification from DTMs based on geometry and terrain position. Geoderma 2004, 121:243-256.
45. Shi X. A Case-Based Reasoning Approach to Fuzzy Soil Mapping 2002, Ph.D. Dissertation, University of Wisconsin, Madison, Wisconsin.
46. Van Westen C.J., van Duren I., Kruse H.M.G., Terlien M.T.J. GISSIZ: Training Package for Geographic Information Systems in Slope Instability Zonation 1993, ITC Publication No. 15, ITC, Enschede, The Netherlands.
47. Van Westen C.J., Rengers N., Soeters R. Use of geomorphological information in indirect landslide susceptibility assessment. Nat. Hazards 2003, 30:399-419.
48. Varnes D.J. Landslide Hazard Zonation: A Review of Principles and Practice 1984, UNESCO Press, Paris, France.
49. Wu S., Shi L., Wang R., Tan C., Hu D., Mei Y., Xu R. Zonation of the landslide hazards in the forereservoir region of the Three Gorges Project on the Yangtze River. Eng. Geol. 2001, 59:51-58.
50. Xu C., Dai F., Xu X., Lee Y.H. GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China. Geomorphology 2012, 145:70-80.
51. Zadeh L.A. Fuzzy sets. Inf. Control 1965, 8:338-353.
52. Zadeh L.A. Fuzzy sets and systems. System Theory 1965, 29-39. Polytechnic Press, Brooklyn, New York. J. Fox (Ed.).
53. Zêzere J.L., Ferreira A.B., Rodrigues M.L. Landslides in the north of Lisbon Region (Portugal): conditioning and triggering factors. Phys. Chem. Princ. Geomorph. 1999, 24(10):925-934.
54. Zhou C.H., Lee C.F., Li J., Xu Z.W. On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 2002, 43:197-207.
55. Zhu A.X. A similarity model for representing soil spatial information. Geoderma 1997, 77:217-242.
56. Zhu A.X. A personal construct-based knowledge acquisition process for natural resource mapping. Int. J. Geogr. Inf. Sci. 1999, 13:119-141.
57. Zhu A.X. Rule based mapping. The Handbook of Geographic Information Science 2008, 273-291. Blackwell, Malden, MA. J.P. Wilson, A.S. Fotheringham (Eds.).
58. Zhu A.X., Band L.E. A knowledge-based approach to data integration for soil mapping. Can. J. Remote. Sens. 1994, 20:408-418.
59. Zhu A.X., Hudson B., Burt J., Lubich K., Simson D. Soil mapping using GIS, expert knowledge, and fuzzy logic. Soil Sci. Soc. Am. J. 2001, 65:1463-1472.
60. Zhu A.X., Wang R.X., Qiao J., Chen Y., Cai Q., Zhou C. Mapping landslide susceptibility in the Three Gorges area, China using GIS, expert knowledge and fuzzy logic. GIS and Remote Sensing in Hydrology 2004, 385-391. Water Resources and Environment, IAHS Publication 289 (IAHS Red Book), International Association of Hydrological Sciences, Wallingford, UK. Y. Chen (Ed.).