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Avalanche hazard mapping over large undocumented areas

Author

Listed:
  • M. Barbolini
  • M. Pagliardi
  • F. Ferro
  • P. Corradeghini

Abstract

An innovative methodology to perform avalanche hazard mapping over large undocumented areas is herewith presented and discussed. The method combines GIS tools, computational routines, and statistical analysis in order to provide a “semi-automatic” definition of areas potentially affected by avalanche release and motion. The method includes two main modules. The first module is used to define zones of potential avalanche release, based on the consolidated relations on slope, morphology, and vegetation. For each of the identified zones of potential release, a second module, named Avalanche Flow and Run-out Algorithm (AFRA), provides an automatic definition of the areas potentially affected by avalanche motion and run-out. The definition is generated by a specifically implemented “flow-routing algorithm” which allows for the determination of flow behaviour in the track and in the run-out zone. In order to estimate the avalanche outline in the run-out zone, AFRA uses a “run-out cone”, which is a 3D projection of the angle of reach α. The α-value is evaluated by statistical analysis of historical data regarding extreme avalanches. Pre- and post-processing of the AFRA input/output data is done in an open source GIS environment (GRASS GIS). The method requires only a digital terrain model and an indication of the areas covered by forest as input parameters. The procedure, which allows rapid mapping of large areas, does not in principle require any site-specific historical information. Furthermore, it has proven to be effective in all cases where a preliminary cost-efficient analysis of the territories potentially affected by snow avalanche was needed. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • M. Barbolini & M. Pagliardi & F. Ferro & P. Corradeghini, 2011. "Avalanche hazard mapping over large undocumented areas," 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. 56(2), pages 451-464, February.
    • Handle: RePEc:spr:nathaz:v:56:y:2011:i:2:p:451-464
    DOI: 10.1007/s11069-009-9434-8
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    Citations

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    Cited by:

    1. Massimiliano Fazzini & Marco Cordeschi & Cristiano Carabella & Giorgio Paglia & Gianluca Esposito & Enrico Miccadei, 2021. "Snow Avalanche Assessment in Mass Movement-Prone Areas: Results from Climate Extremization in Relationship with Environmental Risk Reduction in the Prati di Tivo Area (Gran Sasso Massif, Central Italy," Land, MDPI, vol. 10(11), pages 1-33, November.
    2. A. Pistocchi & C. Notarnicola, 2013. "Data-driven mapping of avalanche release areas: a case study in South Tyrol, 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. 65(3), pages 1313-1330, February.
    3. Håvard T. Larsen & Jordy Hendrikx & Martine S. Slåtten & Rune V. Engeset, 2020. "Developing nationwide avalanche terrain maps for Norway," 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. 103(3), pages 2829-2847, September.
    4. Vladislava Košová & Mário Molokáč & Vladimír Čech & Miloš Jesenský, 2022. "Avalanche Hazard Modelling within the Kráľova Hoľa Area in the Low Tatra Mountains in Slovakia," Land, MDPI, vol. 11(6), pages 1-24, May.
    5. Polina Lemenkova, 2015. "Environmental Hazard Prevention: Monitoring and Control of Landslide Risks in Mountainous Forests," ULB Institutional Repository 2013/364395, ULB -- Universite Libre de Bruxelles.

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