F
Fausto Guzzetti
Researcher at National Research Council
Publications - 269
Citations - 27003
Fausto Guzzetti is an academic researcher from National Research Council. The author has contributed to research in topics: Landslide & Population. The author has an hindex of 70, co-authored 264 publications receiving 22144 citations. Previous affiliations of Fausto Guzzetti include University of Perugia & University of Dundee.
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Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
TL;DR: In this paper, the authors used geomorphological information to assess areas at high landslide hazard, and help mitigate the associated risk, and found that despite the operational and conceptual limitations, landslide hazard assessment may indeed constitute a suitable, cost-effective aid to land-use planning.
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Landslide inventory maps: New tools for an old problem
Fausto Guzzetti,Alessandro Cesare Mondini,Mauro Cardinali,Federica Fiorucci,Michele Santangelo,Kang-Tsung Chang +5 more
TL;DR: In this article, the authors outline the principles for landslide mapping, and review the conventional methods for the preparation of landslide maps, including geomorphological, event, seasonal, and multi-temporal inventories.
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The rainfall intensity–duration control of shallow landslides and debris flows: an update
TL;DR: In this article, a global database of 2,626 rainfall events that have resulted in shallow landslides and debris flows was compiled through a thorough literature search, and the rainfall and landslide information was used to update the dependency of the minimum level of rainfall duration and intensity likely to result in shallow landslide and debris flow established by Nel Caine in 1980.
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Landslide inventories and their statistical properties
TL;DR: In this article, the authors examined three well-documented landslide events, from Italy, Guatemala and the USA, each with a different triggering mechanism, and found that the landslide areas for all three are well approximated by the same three-parameter inverse-gamma distribution.
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A review of statistically-based landslide susceptibility models
TL;DR: In this paper, a critical review of statistical methods for landslide susceptibility modelling and associated terrain zonations is presented, revealing a significant heterogeneity of thematic data types and scales, modelling approaches, and model evaluation criteria.