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An in-depth statistical analysis of the rainstorms erosivity in Europe
ID
Bezak, Nejc
(
Avtor
),
ID
Mikoš, Matjaž
(
Avtor
),
ID
Borrelli, Pasquale
(
Avtor
),
ID
Liakos, Leonidas
(
Avtor
),
ID
Panagos, Panos
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(12,39 MB)
MD5: 8A235A4ECB34738D8AE5F2EE1457F475
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S0341816221004355
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
rainfall erosivity
,
REDES
,
Lorenz curve
,
Gini coefficient
,
seasonality
,
threshold values
,
R-factor
,
Europe
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2021
Št. strani:
15 str.
Številčenje:
Vol. 206, art. 105577
PID:
20.500.12556/RUL-131827
UDK:
556.1
ISSN pri članku:
0341-8162
DOI:
10.1016/j.catena.2021.105577
COBISS.SI-ID:
69990659
Datum objave v RUL:
04.10.2021
Število ogledov:
873
Število prenosov:
134
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Objavi na:
Gradivo je del revije
Naslov:
Catena : an interdisciplinary journal of soil science - hydrology- geomorphology focusing on geoecology and landscape evolution
Skrajšan naslov:
Catena
Založnik:
Elsevier
ISSN:
0341-8162
COBISS.SI-ID:
25199104
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
erozivnost padavin
,
baza REDES
,
Lorenzova krivulja
,
Ginijev koefficient
,
sezonskost
,
mejne vrednosti
,
R-faktor
,
Evropa
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0180
Naslov:
Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Korea Environmental Industry & Technology Institute
Številka projekta:
2019002820004
Akronim:
EcoSSSoil
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