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Comparing Landslide Hazard Maps

Author

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  • C. Van Westen
  • A. Seijmonsbergen
  • F. Mantovani

Abstract

The objective of the method explained in this paper isto obtain a better insight in the decision rulesapplied by geomorphologists in the direct mapping oflandslide hazard. This can be obtained by forcinggeomorphologists to specify for each unit (polygon) intheir hazard map the criteria that they used toclassify the unit as high, medium or low hazard. Whenthis is done systemically for an entire area, it ispossible to analyze those criteria statistically, andto evaluate whether they can be grouped into generaldecision rules, or whether these criteria arecompletely site specific. The same area in the Alpagoregion in Italy was mapped at 1 : 5000 scale by threeteams of experts individually. The different methodsare presented and the results are compared. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • C. Van Westen & A. Seijmonsbergen & F. Mantovani, 1999. "Comparing Landslide Hazard Maps," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 20(2), pages 137-158, November.
    • Handle: RePEc:spr:nathaz:v:20:y:1999:i:2:p:137-158
    DOI: 10.1023/A:1008036810401
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    Citations

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    Cited by:

    1. Xilin Liu & Dan Zhang, 2004. "Comparison of Two Empirical Models for Gully-Specific Debris Flow Hazard Assessment in Xiaojiang Valley of Southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 31(1), pages 157-175, January.
    2. Paola Coratza & Irene Maria Bollati & Valeria Panizza & Pierluigi Brandolini & Doriano Castaldini & Franco Cucchi & Giacomo Deiana & Maurizio Del Monte & Francesco Faccini & Furio Finocchiaro & Dario , 2021. "Advances in Geoheritage Mapping: Application to Iconic Geomorphological Examples from the Italian Landscape," Sustainability, MDPI, vol. 13(20), pages 1-37, October.
    3. Mowen Xie & Tetsuro Esaki & Guoyun Zhou, 2004. "GIS-Based Probabilistic Mapping of Landslide Hazard Using a Three-Dimensional Deterministic Model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 265-282, October.
    4. M. Ercanoglu & C. Gokceoglu & Th. Van Asch, 2004. "Landslide Susceptibility Zoning North of Yenice (NW Turkey) by Multivariate Statistical Techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 32(1), pages 1-23, May.
    5. D. W. Park & S. R. Lee & N. N. Vasu & S. H. Kang & J. Y. Park, 2016. "Coupled model for simulation of landslides and debris flows at local scale," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1653-1682, April.
    6. Chong Xu & Xiwei Xu & Fuchu Dai & Zhide Wu & Honglin He & Feng Shi & Xiyan Wu & Suning Xu, 2013. "Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 883-900, September.
    7. Hamid Pourghasemi & Biswajeet Pradhan & Candan Gokceoglu, 2012. "Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 965-996, September.
    8. J. Marquínez & R. Menéndez Duarte & P. Farias & M. JiméNez Sánchez, 2003. "Predictive GIS-Based Model of Rockfall Activity in Mountain Cliffs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 341-360, November.

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