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Approaches to rainfall-induced landslides forecasting

Authors: CROSTA, GIOVANNI; FRATTINI, PAOLO; Di Prisco, C.;

Approaches to rainfall-induced landslides forecasting

Abstract

Rainfall still represents the most important triggering factor for landsliding. Both shallow and deep-seated landslides can be triggered and reactivated as a consequence of precipitations. This contribution presents a series of approaches that incorporate rainfall for the assessment of landslide hazard, modes of reactivation and expected displacements for both shallow and deep-seated landslides. Probabilistic rainfall thresholds are presented for shallow landslides starting from results of a physically-based model and taking into account for the uncertainty of model parameters. It is shown how failure probabilities associated to combinations of rainfall intensity and duration, and extent of potentially unstable area can be determined. For deep-seated landslides a pseudo-dynamic visco-plastic approach is presented to show possibilities in forecasting landslide displacements as triggered by rainfall and piezo-metric oscillations. For more complex rockslides, an empirical approach is presented based on the analysis long-term in situ and remote monitoring. This analysis allows for the interpretation of rockslide behavior and for the analysis of complex response to rainfall

Country
Italy
Related Organizations
Keywords

rainfall thresholds, debris flow, landslides, forecasting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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