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Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning



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Autore: Segoni Samuele Visualizza persona
Titolo: Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 electronic resource (222 p.)
Soggetto topico: Research & information: general
Soggetto non controllato: loess landslide
DAN-W
numerical simulation
dynamic analysis
rainfall thresholds
Bhutan
shallow landslides
landslides
Idukki
early warning system
landslide hazard
antecedent rainfall threshold
landslide susceptibility
satellite-derived rainfall
TRMM Multisatellite Precipitation Analysis 3B42 (TMPA)
tropical Africa
rainfall
thresholds
physicallybased model
hydrological monitoring
soil water index
large-scale landslide
SWI-D threshold
shallow landslide
temporal probability
landslide and debris flow
China
quantile regression
Wayanad
early warning
GIS
rainfall intensity
optimization
rainfall thresholds calculation
mean annual rainfall
lithology
Slovenia
Persona (resp. second.): GarianoStefano Luigi
RosiAscanio
SegoniSamuele
Sommario/riassunto: Landslides are destructive processes causing casualties and damage worldwide. The majority of the landslides are triggered by intense and/or prolonged rainfall. Therefore, the prediction of the occurrence of rainfall-induced landslides is an important scientific and social issue. To mitigate the risk posed by rainfall-induced landslides, landslide early warning systems (LEWS) can be built and applied at different scales as effective non-structural mitigation measures. Usually, the core of a LEWS is constituted of a mathematical model that predicts landslide occurrence in the monitored areas. In recent decades, rainfall thresholds have become a widespread and well established technique for the prediction of rainfall-induced landslides, and for the setting up of prototype or operational LEWS. A rainfall threshold expresses, with a mathematic law, the rainfall amount that, when reached or exceeded, is likely to trigger one or more landslides. Rainfall thresholds can be defined with relatively few parameters and are very straightforward to operate, because their application within LEWS is usually based only on the comparison of monitored and/or forecasted rainfall. This Special Issue collects contributions on the recent research advances or well-documented applications of rainfall thresholds, as well as other innovative methods for landslide prediction and early warning. Contributions regarding the description of a LEWS or single components of LEWS (e.g., monitoring approaches, forecasting models, communication strategies, and emergency management) are also welcome.
Titolo autorizzato: Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557355903321
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