TXT-tool 2.039-1.2: Rainfall thresholds for the possible initiation of landslides in the Italian alps

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Abstract

Rainfall-induced landslides are frequent in the Italian Alps, where they cause severe economic damages and loss of life. The prediction of rainfall-induced slope failures is of utmost importance for civil protection purposes and relies upon the definition of physically based or empirical rainfall thresholds. Reliable empirical rainfall thresholds require a large amount of information on the geographical and temporal location of rainfall events that caused past mass movements. We have compiled a catalogue listing 453 rainfall events that have triggered 509 landslides in the Italian Alps in the 13-year period 2000-2012. For the purpose, we searched national and local newspapers, blogs, technical reports, historical databases, and scientific journals. In the catalogue, for each rainfall event that triggered one or more failures, the information includes: (i) landslide geographical position, (ii) date of the landslide occurrence, (iii) landslide type (if available from the source of information), and (iv) rainfall information. Using the available information, we calculated the cumulated amount (E) and the duration (D) of the rainfall that likely caused the documented slope failures. We exploited the catalogue to calculate new ED threshold curves and their associated uncertainties for the Italian Alps adopting a frequentist approach. To define seasonal rainfall thresholds, we also investigated the monthly distribution of the landslides. The new thresholds are compared with similar curves in the same general area. We expect the results of our study to improve the ability to forecast landslides in the Italian Alps and, more generally, in the wider Alpine region.

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Brunetti, M. T., Peruccacci, S., Palladino, M. R., Viero, A., & Guzzetti, F. (2017). TXT-tool 2.039-1.2: Rainfall thresholds for the possible initiation of landslides in the Italian alps. In Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring (pp. 361–369). Springer International Publishing. https://doi.org/10.1007/978-3-319-57774-6_26

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