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Luca Piciullo

Researcher at Norwegian Geotechnical Institute

Publications -  34
Citations -  1211

Luca Piciullo is an academic researcher from Norwegian Geotechnical Institute. The author has contributed to research in topics: Warning system & Landslide. The author has an hindex of 10, co-authored 28 publications receiving 758 citations. Previous affiliations of Luca Piciullo include University of Salerno & University of Milano-Bicocca.

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A review of the recent literature on rainfall thresholds for landslide occurrence

TL;DR: The most recent papers published in scientific journals are reviewed, highlighting significant advances and critical issues and the definition of standard procedures for the identification of rainfall events and for the objective definition of the thresholds.
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Territorial early warning systems for rainfall-induced landslides

TL;DR: This worldwide review is organized describing and discussing the main components of 24 Te-LEWSs, following an original conceptual model based on four main tiles: setting, modelling, warning and response.
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Monitoring strategies for local landslide early warning systems

TL;DR: The description and the analysis of the monitoring strategies implemented within local landslide early warning systems (Lo-LEWS) operational all around the world are described and a description of the most used monitoring parameters and instruments for issuing warnings is presented.
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SPH run-out modelling of channelised landslides of the flow type

TL;DR: In this article, a quasi-3D coupled SPH model is applied to a relevant case history from Southern Italy for which an advanced dataset is available, and numerical results provide a satisfactory back-analysis of the case history and clearly indicate that the bed entrainment rate and the extent of the erodible areas affect the propagation paths, the velocities and the deposition heights.
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Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides

TL;DR: In this paper, a process chain for the definition and the performance assessment of an operational regional warning model for rainfall-induced landslides, based on rainfall thresholds, is proposed and tested in a landslide-prone area in the Campania region, southern Italy.