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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 online resource (222 p.)
Soggetto topico: Research & information: general
Soggetto non controllato: antecedent rainfall threshold
Bhutan
China
DAN-W
dynamic analysis
early warning
early warning system
GIS
hydrological monitoring
Idukki
landslide and debris flow
landslide hazard
landslide susceptibility
landslides
large-scale landslide
lithology
loess landslide
mean annual rainfall
n/a
numerical simulation
optimization
physicallybased model
quantile regression
rainfall
rainfall intensity
rainfall thresholds
rainfall thresholds calculation
satellite-derived rainfall
shallow landslide
shallow landslides
Slovenia
soil water index
SWI-D threshold
temporal probability
thresholds
TRMM Multisatellite Precipitation Analysis 3B42 (TMPA)
tropical Africa
Wayanad
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
Lo trovi qui: Univ. Federico II
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