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Climate Patterns in the World's Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000-2019 CE
Stockholm University, Faculty of Humanities, Department of History. Swedish Collegium for Advanced Study, Sweden.ORCID iD: 0000-0003-0220-3947
Number of Authors: 32021 (English)In: Frontiers in Earth Science, E-ISSN 2296-6463, Vol. 9, article id 637973Article in journal (Refereed) Published
Abstract [en]

Rainfall erosivity causes considerable environmental damage by driving soil loss. However, the long-term evolution of erosive forcing (over centennial to millennial time-scales) remains essentially unknown. Using a rainfall erosivity model (REM (ARB)), this study simulates the variability of rainfall erosivity in Arno River Basin (ARB), Italy, a Mediterranean fluvial basin, for the period 1000-2019 CE resulting in the world's longest time-series of erosivity. The annual estimates show a noticeable and increasing variability of rainfall erosivity during the Little Ice Age (similar to 1250-1849), especially after c. 1490, until the end of 18th century. During this cold period, erosive forcing reached similar to 1600 MJ mm hm(-2) h(-1) yr(-1) once every four years, and similar to 3000 MJ mm hm(-2) h(-1) yr(-1) once every 20 years. The extremes of rainfall erosivity (the 98th percentile) followed a similar increasing trend, with an acceleration of the hydrological hazard (erosivity per unit of rainfall) during the 20th century. The comparison of REM (ARB) output with the sediment yield of the basin (1951-2010) confirmed the model's ability to predict geomorphological effects in the ARB. Thus, our methodology could be applied to simulate erosivity in environmentally similar basins. A relationship has been identified between the Atlantic Multidecadal Variation and erosivity patterns, suggesting a role of North Atlantic circulation dynamics on the hydrology of central Italy's fluvial basins.

Place, publisher, year, edition, pages
2021. Vol. 9, article id 637973
Keywords [en]
Arno river basin, erosivity density, historical dataset, increasing trend, parsimonious modeling, rainfall erosivity, reconstruction
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-194128DOI: 10.3389/feart.2021.637973ISI: 000646605900001OAI: oai:DiVA.org:su-194128DiVA, id: diva2:1566843
Available from: 2021-06-15 Created: 2021-06-15 Last updated: 2025-02-07Bibliographically approved

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Charpentier Ljungqvist, Fredrik

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