Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
International audience 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...
Published in: | Frontiers in Earth Science |
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Main Authors: | , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
CCSD
2021
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-03842657 https://doi.org/10.3389/feart.2021.637973 |
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author | Diodato, Nazzareno Ljungqvist, Fredrik Charpentier Bellocchi, Gianni |
author2 | University Corporation for Atmospheric Research (UCAR) Stockholm University Swedish Collegium for Advanced Study (SCAS) Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
author_facet | Diodato, Nazzareno Ljungqvist, Fredrik Charpentier Bellocchi, Gianni |
author_sort | Diodato, Nazzareno |
collection | Institut National de la Recherche Agronomique: ProdINRA |
container_title | Frontiers in Earth Science |
container_volume | 9 |
description | International audience 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 (∼1250–1849), especially after c. 1490, until the end of 18th century. During this cold period, erosive forcing reached ∼1600 MJ mm hm −2 h −1 yr −1 once every four years, and ∼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. |
format | Article in Journal/Newspaper |
genre | North Atlantic |
genre_facet | North Atlantic |
id | ftinraparis:oai:HAL:hal-03842657v1 |
institution | Open Polar |
language | English |
op_collection_id | ftinraparis |
op_doi | https://doi.org/10.3389/feart.2021.637973 |
op_relation | info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.637973 doi:10.3389/feart.2021.637973 WOS: 000646605900001 |
op_source | ISSN: 2296-6463 Frontiers in Earth Science https://hal.inrae.fr/hal-03842657 Frontiers in Earth Science, 2021, 9, ⟨10.3389/feart.2021.637973⟩ |
publishDate | 2021 |
publisher | CCSD |
record_format | openpolar |
spelling | ftinraparis:oai:HAL:hal-03842657v1 2025-02-16T15:07:31+00:00 Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE Diodato, Nazzareno Ljungqvist, Fredrik Charpentier Bellocchi, Gianni University Corporation for Atmospheric Research (UCAR) Stockholm University Swedish Collegium for Advanced Study (SCAS) Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021-04-20 https://hal.inrae.fr/hal-03842657 https://doi.org/10.3389/feart.2021.637973 en eng CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.637973 doi:10.3389/feart.2021.637973 WOS: 000646605900001 ISSN: 2296-6463 Frontiers in Earth Science https://hal.inrae.fr/hal-03842657 Frontiers in Earth Science, 2021, 9, ⟨10.3389/feart.2021.637973⟩ Arno river basin erosivity density historical dataset increasing trend parsimonious modeling rainfall erosivity reconstruction [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2021 ftinraparis https://doi.org/10.3389/feart.2021.637973 2025-01-21T17:05:20Z International audience 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 (∼1250–1849), especially after c. 1490, until the end of 18th century. During this cold period, erosive forcing reached ∼1600 MJ mm hm −2 h −1 yr −1 once every four years, and ∼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. Article in Journal/Newspaper North Atlantic Institut National de la Recherche Agronomique: ProdINRA Frontiers in Earth Science 9 |
spellingShingle | Arno river basin erosivity density historical dataset increasing trend parsimonious modeling rainfall erosivity reconstruction [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Diodato, Nazzareno Ljungqvist, Fredrik Charpentier Bellocchi, Gianni Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title | Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title_full | Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title_fullStr | Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title_full_unstemmed | Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title_short | Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE |
title_sort | climate patterns in the world’s longest history of storm-erosivity: the arno river basin, italy, 1000–2019 ce |
topic | Arno river basin erosivity density historical dataset increasing trend parsimonious modeling rainfall erosivity reconstruction [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
topic_facet | Arno river basin erosivity density historical dataset increasing trend parsimonious modeling rainfall erosivity reconstruction [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
url | https://hal.inrae.fr/hal-03842657 https://doi.org/10.3389/feart.2021.637973 |