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Debris-flow risk analysis in south Gargano watersheds (Southern-Italy)

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  • Francesco Gentile
  • Tiziana Bisantino
  • Giuliana Trisorio Liuzzi

Abstract

This article describes a methodology to analyse debris-flow risk in the torrential watersheds of the southern hillside of Gargano (Puglia—Italy). The approach integrates a stability model that identifies the areas of potential shallow landslides in different meteorological conditions with a two-dimensional flood routing model that allows hazard mapping and GIS interface. The results were combined with a susceptibility map that was defined by analyzing the vulnerability conditions and the exposure of the alluvial fan. The models were calibrated on the 1972, July catastrophic event for which the distribution of rainstorm intensity was available. The geo-mechanical properties of the debris were studied by field surveys and laboratory tests while the sediment source areas and the shape of the alluvial cone were obtained using photo-aerial interpretation. The risk conditions of the areas under consideration were also investigated in order to plan and guide measures aimed at limiting the damage such hazards may cause. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Francesco Gentile & Tiziana Bisantino & Giuliana Trisorio Liuzzi, 2008. "Debris-flow risk analysis in south Gargano watersheds (Southern-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. 44(1), pages 1-17, January.
    • Handle: RePEc:spr:nathaz:v:44:y:2008:i:1:p:1-17
    DOI: 10.1007/s11069-007-9139-9
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    References listed on IDEAS

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    1. Dieter Rickenmann, 1999. "Empirical Relationships for Debris Flows," 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. 19(1), pages 47-77, January.
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    1. G. Chevalier & V. Medina & M. Hürlimann & A. Bateman, 2013. "Debris-flow susceptibility analysis using fluvio-morphological parameters and data mining: application to the Central-Eastern Pyrenees," 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. 67(2), pages 213-238, June.
    2. Chaofeng Liu & Yawei Li & He Yin & Jiaxin Zhang & Wei Wang, 2020. "A Stochastic Interpolation-Based Fractal Model for Vulnerability Diagnosis of Water Supply Networks Against Seismic Hazards," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    3. Tiziana Bisantino & Peter Fischer & Francesco Gentile, 2010. "Rheological characteristics of debris-flow material in South-Gargano watersheds," 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. 54(2), pages 209-223, August.
    4. Sajid Ali & Rashid Haider & Wahid Abbas & Muhammad Basharat & Klaus Reicherter, 2021. "Empirical assessment of rockfall and debris flow risk along the Karakoram Highway, 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. 106(3), pages 2437-2460, April.
    5. Guangxu Liu & Erfu Dai & Quansheng Ge & Wenxiang Wu & Xinchuang Xu, 2013. "A similarity-based quantitative model for assessing regional debris-flow hazard," 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. 69(1), pages 295-310, October.
    6. Guangxu Liu & Erfu Dai & Xinchuang Xu & Wenxiang Wu & Aicun Xiang, 2018. "Quantitative Assessment of Regional Debris-Flow Risk: A Case Study in Southwest China," Sustainability, MDPI, vol. 10(7), pages 1-21, June.

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