Ten years of pluviometric analyses in Italy for civil protection purposes.

Autor: Del Soldato M; Earth Sciences Department, University of Firenze, Via La Pira, 4, 50121, Firenze, Italy. matteo.delsoldato@unifi.it., Rosi A; Earth Sciences Department, University of Firenze, Via La Pira, 4, 50121, Firenze, Italy., Delli Passeri L; Department of Civil Protection, Presidency of the Council of Ministers, Via Vitorchiano 2, 00189, Rome, Italy., Cacciamani C; Regional Agency for Prevention and Environmental of Emilia-Romagna Region - Idrometeoclima service, Viale Silvani, 6, 40122, Bologna, Italy., Catani F; Department of Geosciences, University of Padova, Via G. Gradenigo, 6, 35131, Padova, Italy., Casagli N; Earth Sciences Department, University of Firenze, Via La Pira, 4, 50121, Firenze, Italy.; National Institute of Oceanography and Applied Geophysics, Borgo Grotta Gigante, 42/C, 34010, Sgonico, TS, Italy.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2021 Oct 13; Vol. 11 (1), pp. 20302. Date of Electronic Publication: 2021 Oct 13.
DOI: 10.1038/s41598-021-99874-w
Abstrakt: The concept of climate change has grown in recent decades, influencing the scientific community to conduct research on meteorological parameters and their variabilities. Research on global warming, as well as on its possible economic and environmental consequences, has spread over the last 20 years. Diffused changes in trends have been stated by several authors throughout the world, with different developments observed depending on the continent. Following a period of approximately 40 days of almost continuous rain that occurred from October to November 2019 across the Italian territory and caused several hazards (e.g., floods and landslides), a relevant question for decision-makers and civil protection actors emerged regarding the relative frequencies of given rainfall events in the Warning Hazard Zones (WHZs) of Italy. The derived products of this work could answer this question for both weather and hydrogeological operators thanks to the frequency and spatio-temporal distribution analyses conducted on 10-year daily rainfall data over the entire Italian territory. This work aspires to be an additional tool used to analyse events that have occurred, providing further information for a better understanding of the probability of occurrence and distribution of future events.
(© 2021. The Author(s).)
Databáze: MEDLINE
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