Water, Volume 15, Issue 21
2023 November-1 - 164 articles
Cover Story: The analysis of a large quantity of information on triggering rainfall and triggered phenomena can help us to comprehend the relationship between triggering precipitation and its related impacts. To facilitate the investigation on the relationships between large and complex datasets concerning both rainfall and rainfall-related damage, an index-based approach is proposed and applied to the Calabria region (southern Italy). Five Rainfall Indices (RIs) are tested and five Composite Rainfall Indices (CRIs), a combination of two or more RIs, are proposed. The RIs and the CRIs are calculated by means of 1,300,000 daily data registered in the observation period 1980–2020. The CRIs showed the best relationships with the data of Damaging Hydrogecological Events (DHEs). Particularly, better results are obtained with landslide data than with flood data. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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