04132nam 2200817z- 450 991055735590332120231214133626.0(CKB)5400000000042330(oapen)https://directory.doabooks.org/handle/20.500.12854/76467(EXLCZ)99540000000004233020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRainfall Thresholds and Other Approaches for Landslide Prediction and Early WarningBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (222 p.)3-0365-0930-5 3-0365-0931-3 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.Research & information: generalbicsscloess landslideDAN-Wnumerical simulationdynamic analysisrainfall thresholdsBhutanshallow landslideslandslidesIdukkiearly warning systemlandslide hazardantecedent rainfall thresholdlandslide susceptibilitysatellite-derived rainfallTRMM Multisatellite Precipitation Analysis 3B42 (TMPA)tropical Africarainfallthresholdsphysicallybased modelhydrological monitoringsoil water indexlarge-scale landslideSWI-D thresholdshallow landslidetemporal probabilitylandslide and debris flowChinaquantile regressionWayanadearly warningGISrainfall intensityoptimizationrainfall thresholds calculationmean annual rainfalllithologySloveniaResearch & information: generalSegoni Samueleedt1313327Gariano Stefano LuigiedtRosi AscanioedtSegoni SamueleothGariano Stefano LuigiothRosi AscanioothBOOK9910557355903321Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning3031290UNINA