Fausto Guzzetti, Silvia Peruccacci, Mauro Rossi, and Colin P Stark (2006)
Rainfall thresholds for the initiation of landslides in central and southern Europe
Meteorology and Atmospheric Physics.
We review rainfall thresholds for the initiation of landslides world
wide and propose new empirical rainfall thresholds for the Central
European Adriatic Danubian South-Eastern Space (CADSES) area, located
in central and southern Europe. Eighty-three empirical thresholds
linking measurements of the event and the antecedent rainfall
conditions to the occurrence of landslides are considered. We then
describe a database of rainfall events that resulted or did not result
in landslides in the CADSES area. Rainfall and landslide information
in the database was obtained from the literature; climate information
was obtained from the global climate dataset compiled by the Climate
Research Unit of the East Anglia University. We plot the
intensity-duration values in logarithmic coordinates, and we establish
that with increased rainfall duration the minimum intensity likely to
trigger slope failures decreases linearly, in the range of durations
from 20 minutes to ~12 days. Based on this observation, we determine
minimum intensity-duration (ID) and normalized-ID thresholds for the
initiation of landslides in the CADSES area. Normalization is
performed using two climatic indexes, the mean annual precipitation
(MAP) and the rainy-day-normal (RDN). Threshold curves were inferred
from the available data using a Bayesian statistical
technique. Analysing the obtained thresholds we establish that lower
rainfall intensity is required to initiate landslides in an area with
a mountain climate, than in an area characterized by a Mediterranean
climate. We further suggest that for rainfall periods exceeding ~12
days landslides are triggered by factors not considered by the ID
model. The obtained thresholds can be used in operation landslide
warning systems, where more accurate thresholds are not available.
Submitted to special issue on EU project RiskAWARE.