Author:
Abbate Andrea,Papini Monica,Longoni Laura
Abstract
Abstract. This paper presents an extended reanalysis of the rainfall-induced geo-hydrological events that have occurred in the last 70 years in the alpine area of the Lombardy region, Italy. The work is focused on the description of the major meteorological triggering factors that have caused diffuse episodes of shallow landslides and debris flow. The aim of this reanalysis was to try to evaluate their magnitude quantitatively. The triggering factors were studied following two approaches. The first one
started from the conventional analysis of the rainfall intensity (I) and
duration (D) considering local rain gauge data and applying the I–D
threshold methodology integrated with an estimation of the events' return
period. We then extended this analysis and proposed a new index for the
magnitude assessment (magnitude index, MI) based on frequency–magnitude theory. The MI was defined considering both the return period and the spatial extent of each rainfall episode. The second approach is based on a regional-scale analysis of meteorological
triggers. In particular, the strength of the extratropical cyclone (EC) structure associated with the precipitation events was assessed through the sea level pressure tendency (SLPT) meteorological index. The latter has been estimated from the Norwegian cyclone model (NCM) theory. Both indexes have shown an agreement in ranking the event's magnitude
(R2=0.88), giving a similar interpretation of the severity that
was also found to be in accordance with the information reported in historical
databases. This back analysis of 70 years in Valtellina identifies the MI and the SLPT
as good magnitude indicators of the event, confirming that a strong cause–effect relationship exists among the EC intensity and the local
rainfall recorded on the ground. In respect of the conventional I–D
threshold methodology, which is limited to a binary estimate of the likelihood of landslide occurrence, the evaluation of the MI and the SLPT
indexes allows quantifying the magnitude of a rainfall episode capable of
generating severe geo-hydrological hazards.
Subject
General Earth and Planetary Sciences
Cited by
20 articles.
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