Michele Calvello
University of Salerno
92 Papers
189 Citations
Michele Calvello is an academic researcher from University of Salerno. The author has contributed to research in topics: Landslide & Warning system. The author has an hindex of 20, co-authored 85 publications. Previous affiliations of Michele Calvello include Northwestern University & City University London.
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Papers
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.
330
Selecting parameters to optimize in model calibration by inverse analysis
TL;DR: In this paper, the benefits of using inverse analysis techniques to select the appropriate parameters to optimize when calibrating a soil constitutive model is discussed with reference to the optimization of the elasto-plastic Hardening-Soil model for four layers of Chicago glacial clays.
260
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.
255
Supported Excavations: Observational Method and Inverse Modeling
TL;DR: In this article, an inverse analysis procedure that uses construction monitoring data to update predictions of deformations for supported excavation systems is presented, where the numerical procedure is used to optimize the finite element model of a 12.2m-deep excavation through Chicago glacial clays by minimizing the errors between monitoring data and computed displacements.
233
Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides
Luca Piciullo,Stefano Luigi Gariano,Massimo Melillo,Maria Teresa Brunetti,Silvia Peruccacci,Fausto Guzzetti,Michele Calvello +6 more
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.
150