This volume is divided in four sections focusing on: i) the validation of the correlation between historical landslides and rainfall series; ii) the application of empirical models, namely the cumulative event – duration, the maximum intensity – duration, the mean intensity – duration, and the Bayesian methods; iii) the application of the US Geological Survey’s Transient Rainfall Infiltration and Grid-based Regional Slope-stability (TRIGRS) physical model; iv) the testing of all the above models, during a rainfall event that affected the study area on 2-4 May 2014 and triggered several landslides. Results of this research are proposed as possible decision support tools for landslide warning.
Modeling landslide hazard in the Esino River Valley (Central Italy)
Gioia, Eleonora
Primo
;Marincioni, FaustoSecondo
;
2021-01-01
Abstract
This volume is divided in four sections focusing on: i) the validation of the correlation between historical landslides and rainfall series; ii) the application of empirical models, namely the cumulative event – duration, the maximum intensity – duration, the mean intensity – duration, and the Bayesian methods; iii) the application of the US Geological Survey’s Transient Rainfall Infiltration and Grid-based Regional Slope-stability (TRIGRS) physical model; iv) the testing of all the above models, during a rainfall event that affected the study area on 2-4 May 2014 and triggered several landslides. Results of this research are proposed as possible decision support tools for landslide warning.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.