4.7 Article

Deciphering meteorological influencing factors for Alpine rockfalls: a case study in Aosta Valley

Journal

LANDSLIDES
Volume 18, Issue 10, Pages 3279-3298

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10346-021-01697-3

Keywords

Rockfall; Climate indices; Cumulated precipitation; Wet-dry episodes; Freeze-thaw cycles; Threshold

Funding

  1. Universita degli Studi di Milano within the CRUI-CARE Agreement
  2. MIUR-Ministero dell'Istruzione, dell'Universita e della Ricerca

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This study analyzed the relationships between climate processes and rockfall phenomena in the Aosta Valley of northern Italy from 1990 to 2018. The majority of rockfall events were found to be associated with non-ordinary climatic conditions, with spring events linked to freeze-thaw cycles, autumn events related to effective water inputs, and summer events connected to wet and dry episodes. The findings suggest that different strategies for defining critical thresholds for climate indices can be explored to apply across the study area, with a seasonal trend in the influence of climate on rockfalls.
This study exploited the historical rockfall inventory and the meteorological stations database of Mont Cervin and Mont Emilius Mountain Communities (Aosta Valley, northern Italy) to decipher relationships between climate processes, typical of mountain environments and rockfall phenomena. The period from 1990 to 2018 was selected as reference to perform the analysis. Climate processes were translated into four climate indices, namely short-term rainfall (STR), effective water inputs (EWI, including both rainfall and snow melting), wet and dry episodes (WD) and freeze-thaw cycles (FT). The comparison between climate indices values at each rockfall occurrence and the statistical distributions describing the whole indices dataset allowed to define not ordinary climatic conditions for each index and their influence on rockfall occurrence. Most of the events analysed (>95% out of 136) occurred in correspondence of the defined not ordinary climatic conditions for one or for a combination of the indices. The relationships between rockfalls and climate showed a seasonality. In spring, most of the events resulted to be connected to FT (70%) while in autumn to EWI (49%). The relative seasonal importance of WD reached its maximum in summer with 23% of the events related to this index alone. Based on these results, different strategies to define empirical critical thresholds for each climate index were explored, in order to make them valid for the whole study area. A preliminary exploratory analysis of the influence of high temperatures and temperature gradients was carried out for some summertime rockfalls, not correlated to the other investigated indices. The presented approach is exportable in neighbouring regions, given the availability of a dated rockfall dataset, and could be adapted to include different processes.

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