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Landslide failure and runout susceptibility in the upper T. Ceno valley (Northern Apennines, Italy)

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  • A. Clerici
  • S. Perego
  • C. Tellini
  • P. Vescovi

Abstract

The ‘Conditional Analysis’ multivariate statistical method was used to evaluate Landslide Susceptibility (LS) in an area of the Italian Northern Apennines. An Inventory Landslide map, containing 518 landslides, and seven landslide-related factor maps (lithology, elevation, slope angle and aspect, profile and tangential curvatures, bedding/slope relations) were processed using a shell script that automatically carries out the whole procedure producing a final map with five Failure Susceptibility (FS) classes. The procedure was applied separately to the most frequent landslide typologies, namely, rotational slides, flows, and complex landslides, and for each of the 127 different combinations of the seven factors. To define areas potentially affected by the down-slope movement of the depleted material, four runout belts with different probabilities were distinguished around the classes with highest FS. By overlaying the resulting map with the map of the elements at risk, namely, settlements, roads, and streams, the spatial risk in the area was assessed. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • A. Clerici & S. Perego & C. Tellini & P. Vescovi, 2010. "Landslide failure and runout susceptibility in the upper T. Ceno valley (Northern Apennines, Italy)," 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. 52(1), pages 1-29, January.
  • Handle: RePEc:spr:nathaz:v:52:y:2010:i:1:p:1-29
    DOI: 10.1007/s11069-009-9349-4
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    References listed on IDEAS

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    1. Juan Remondo & Alberto González & José De Terán & Antonio Cendrero & Andrea Fabbri & Chang-Jo Chung, 2003. "Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain," 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 437-449, November.
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    3. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard Mapping," 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 451-472, November.
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    5. C. Irigaray & T. Fernández & R. El Hamdouni & J. Chacón, 2007. "Evaluation and validation of landslide-susceptibility maps obtained by a GIS matrix method: examples from the Betic Cordillera (southern Spain)," 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. 41(1), pages 61-79, April.
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    Cited by:

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    3. Atta-ur-Rahman & Amir Khan & Andrew Collins & Fareen Qazi, 2011. "Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan," 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. 57(2), pages 413-434, May.
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    5. Francesca Vergari, 2015. "Assessing soil erosion hazard in a key badland area of Central Italy," 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. 79(1), pages 71-95, November.

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