izpis_h1_title_alt

An in-depth statistical analysis of the rainstorms erosivity in Europe
ID Bezak, Nejc (Author), ID Mikoš, Matjaž (Author), ID Borrelli, Pasquale (Author), ID Liakos, Leonidas (Author), ID Panagos, Panos (Author)

.pdfPDF - Presentation file, Download (12,39 MB)
MD5: 8A235A4ECB34738D8AE5F2EE1457F475
URLURL - Source URL, Visit https://www.sciencedirect.com/science/article/pii/S0341816221004355 This link opens in a new window

Abstract
Heavy rainstorms play a central role in the water-driving soil erosion processes. An in-depth knowledge about temporal and spatial erosivity of rainfall events is required to gain a better understanding of soil erosion processes and optimize soil protection measures efficiency. In this study, the spatiotemporal distribution of more than 300,000 erosive events measured at 1181 locations, part of the Rainfall Erosivity Database at European Scale (REDES) database, is studied to shed some new light on the rainfall erosivity in Europe. Rainfall erosive events are statistically investigated through the Lorenz curve and derived coefficients such as the Gini coefficient (G). Additionally, seasonal characteristics of the most and the less erosive events are compared to investigate seasonal characteristics of rainstorms across Europe. The G shows largest values of inequality of the inter-annual temporal distribution of the rainfall erosive events in the Alpine region, mostly due to the large number of rainfall events with smaller rainfall erosivity. While for other parts of Europe, the inequality described by the G is mostly due to a small number of high erosive events. The G slightly decreases from south to north while no clear regional patterns can be detected. Additionally, in Europe, on average 11% (ranging from 1 to 24%) of all erosive events contribute to form 50% of the total rainfall erosivity. Furthermore, higher erosive rainfall events tend to occur later in the year compared to less erosive events that take place earlier. To our knowledge, this study is the first one addressing event scale rainfall erosivity distribution using more than 300,000 rainfall erosivity events and covering almost a whole continent. Scientifically our findings represent a major step towards large-scale process-based erosion modelling while, practically, they provide new elements that can support national and local soil erosion monitoring program.

Language:English
Keywords:rainfall erosivity, REDES, Lorenz curve, Gini coefficient, seasonality, threshold values, R-factor, Europe
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:15 str.
Numbering:Vol. 206, art. 105577
PID:20.500.12556/RUL-131827 This link opens in a new window
UDC:556.1
ISSN on article:0341-8162
DOI:10.1016/j.catena.2021.105577 This link opens in a new window
COBISS.SI-ID:69990659 This link opens in a new window
Publication date in RUL:04.10.2021
Views:867
Downloads:134
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Catena : an interdisciplinary journal of soil science - hydrology- geomorphology focusing on geoecology and landscape evolution
Shortened title:Catena
Publisher:Elsevier
ISSN:0341-8162
COBISS.SI-ID:25199104 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:erozivnost padavin, baza REDES, Lorenzova krivulja, Ginijev koefficient, sezonskost, mejne vrednosti, R-faktor, Evropa

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P2-0180
Name:Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij

Funder:Other - Other funder or multiple funders
Funding programme:Korea Environmental Industry & Technology Institute
Project number:2019002820004
Acronym:EcoSSSoil

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back