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Natural Hazards

, Volume 30, Issue 3, pp 399–419 | Cite as

Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

  • C. J. van Westen
  • N. Rengers
  • R. Soeters
Article

Abstract

The objective of this paper is to evaluate the importance of geomorphological expert knowledge in the generation of landslide susceptibility maps, using GIS supported indirect bivariate statistical analysis. For a test area in the Alpago region in Italy a dataset was generated at scale 1:5,000. Detailed geomorphological maps were generated, with legends at different levels of complexity. Other factor maps, that were considered relevant for the assessment of landslide susceptibility, were also collected, such as lithology, structural geology, surficial materials, slope classes, land use, distance from streams, roads and houses. The weights of evidence method was used to generate statistically derived weights for all classes of the factor maps. On the basis of these weights, the most relevant maps were selected for the combination into landslide susceptibility maps. Six different combinations of factor maps were evaluated, with varying geomorphological input. Success rates were used to classify the weight maps into three qualitative landslide susceptibility classes. The resulting six maps were compared with a direct susceptibility map, which was made by direct assignment of susceptibility classes in the field. The analysis indicated that the use of detailed geomorphological information in the bivariate statistical analysis raised the overall accuracy of the final susceptibility map considerably. However, even with the use of a detailed geomorphological factor map, the difference with the separately prepared direct susceptibility map is still significant, due to the generalisations that are inherent to the bivariate statistical analysis technique.

landslide susceptibility , indirect mapping methods weights of evidence modelling GIS geomorphology 

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References

  1. Aleotti, P. and Chowdury, R.: 1999, Landslide hazard assessment: summary review and new perspectives, Bull. Eng. Geol. Envir., 58(1), 21–44.Google Scholar
  2. Bonham-Carter, G.F.: 1994, Geographic Information Systems for Geoscientists; modelling with GIS, Comp. Meth. Geos., Vol. 13, Pergamon Press, pp. 398.Google Scholar
  3. Brabb, E.E.: 1984, Innovative approaches to landslide hazard and risk mapping, Proceedings 4th International Symposium on Landslides, Toronto, Canada, Vol. 1, pp 307–324.Google Scholar
  4. Brunsden, D., Doornkamp, J. C., Fookes, P. G., Jones, D. K. C., and Kelly, J. M. H.: 1975, Large scale geomorphological mapping and highway engineering design, Quarterly. Jrnl. Eng. Geol. 8, 227–253.Google Scholar
  5. Canuti, P. et al.: 1986, Slope stability mapping in Tuscany, Italy, In: V. Gardiner (ed.), International Geomorphology. Part 1, Wiley & Sons, New York, pp. 231–239.Google Scholar
  6. Chung, C. F. and Fabbri, A. G.: 1993, The representation of geoscience information for data integration, Nonrenewable Resources 2:2, 122–139.Google Scholar
  7. Chung, C. J., Fabbri, A., and Van Westen, C. J.: 1995, Multivariate regression analysis for landslide hazard zonation, In: A. Carrara and F. Guzetti (eds), Geographical Information Systems in Assessing Natural Hazards, Kluwer, pp 107–133.Google Scholar
  8. Chung, C. F. and Fabbri, A. G., 1999, Probabilistic prediction models for landslide hazard mapping, Photogrammetric Engineering & Remote Sensing 65(12), 1389–1399.Google Scholar
  9. De Graaff, L. W. S., de Jong, M. G. G., Rupke, J., and Verhofstad, J.: 1987, A geomorphological mapping system at scale 1:10.000 for mountainous areas, Zeitschrift für Geomorphologie. N.F. 31(2), 229–242Google Scholar
  10. Demek, J. and Embleton, C. (eds): 1978, Guide to medium-scale geomorphological mapping, IGU Commission on Geomorphological Survey and Mapping. E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, Germany, 348 pp.Google Scholar
  11. Gilewska, S.: 1976, Different methods of showing the relief on detailed geomorphological maps, Zeitschrift für Geomorphologie 11(4), 81–490.Google Scholar
  12. Hansen, A.: 1984, Landslide Hazard Analysis, In: Brunsden, D. and Prior, D. B. (eds), Slope Instability, Wiley & Sons, New York, pp. 523–602.Google Scholar
  13. Kienholz, H.: 1977, Kombinierte Geomorphologische Gefahrenkarte 1:10.000 von Grindelwald. Geographica Bernensia G4, Geographisches Institut Universität, Bern, Switzerland.Google Scholar
  14. Klimazewski, M.: 1982, Detailed geomorphological maps, ITC-Journal 1982-3, pp. 265–272.Google Scholar
  15. Kojima, H., Chung, C. J., and Van Westen, C. J.: 2000, Strategy on the landslide type analysis based on the expert knowledge and the quantitative prediction model, ISPRS congress 2000. International Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, Part B7, pp. 701–708.Google Scholar
  16. Leroi, E.: 1996, Landslide hazard - Risk maps at different scales: Objectives, tools and developments, In: Senneset (ed.), Landslides, Proceedings, 7th International Symposium on Landslides, Trondheim, Norway, 17-21 June 1996. Balkema, Rotterdam, pp. 35–51.Google Scholar
  17. Mantovani, F. Panizza, M., Semenza E., and Piacente, S.: 1976, L'Alpago (Prealpi Bellunesi). Geologia, Geomorfologia, Nivopluviometria, Boll. Soc. Geol. It. 95, 1589–1656.Google Scholar
  18. Mulder, H. F. H. M.: 1991, Assessment of landslide hazard, Nederlandse Geografische Studies, 124, University of Utrecht. 150 pp.Google Scholar
  19. Salomé, A. I. and Van Dorsser, H. J.: 1982, Examples of 1:50.000 scale geomorphological maps of part of the Ardennes, Zeitschrift für Geomorphologie Bnd. 26(4), 481–489.Google Scholar
  20. Salomé, A. I. and Van Dorsser, H. J.: 1985, Some reflections on Geomorphological Mapping Systems, Zeitschrift für Geomorphologie Bnd. 29(3), 375–380.Google Scholar
  21. Soeters, R. and Van Westen C. J.: 1996, Slope Instability Recognition, Analysis and Zonation, In: Turner, A. K. and Schuster, R. L. (eds), Landslides, investigation and mitigation, Transportation Research Board, National Research Council, Special Report 247, National Academy Press, Washington D.C., U.S.A., pp 129–177.Google Scholar
  22. Terlien, M. T. J.: 1996, Modelling spatial and temporal variations in rainfall-triggered landslides, PhD thesis, ITC Publ. Nr. 32, Enschede, The Netherlands, 254 pp.Google Scholar
  23. Varnes, D. J.: 1984, Landslide Hazard Zonation: a review of principles and practice, Commission on landslides of the IAEG, UNESCO, Natural Hazards No. 3, 61 pp.Google Scholar
  24. VanWesten, C. J.: 1993, Application of Geographic Information Systems to Landslide Hazard Zonation, Ph-D Dissertation Technical University Delft. ITC-Publication Number 15, ITC, Enschede, The Netherlands, 245 pp.Google Scholar
  25. Van Westen, C. J., Soeters, R., and Sijmons, K.: 2000, Digital Geomorphological landslide hazard mapping of the Alpago area, Italy, Int. J. Appl. Earth Observ. Geoinformation 2(1), 51–59.Google Scholar
  26. Van Westen, C. J., Seijmonsbergen, A. C., and Mantovani, F.: 2000, Comparing landslide hazard maps, Natural Hazards 20, 137-158.Google Scholar
  27. Van Zuidam, R. A.: 1986, Terrain classification, ITC-textbook, ITC, Enschede, The Netherlands.Google Scholar
  28. Yin, K. J. and Yan, T. Z.: 1988, Statistical prediction model for slope instability of metamorphosed rocks, Proceedings 5th International Symposium on Landslides, Lausanne, Switserland, Vol. 2, 1269–1272.Google Scholar

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • C. J. van Westen
    • 1
  • N. Rengers
    • 1
  • R. Soeters
    • 1
  1. 1.International Institute for Aerospace Survey and Earth Sciences, ITCEnschedeThe Netherlands

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