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Rainfall erosivity in Slovenia: Sensitivity estimation and trend detection.
- Source :
-
Environmental research [Environ Res] 2018 Nov; Vol. 167, pp. 528-535. Date of Electronic Publication: 2018 Aug 15. - Publication Year :
- 2018
-
Abstract
- Slovenia is one of the EU countries with the largest values and largest amounts of variability in rainfall erosivity, with maximum annual values exceeding 10,000 MJ mm ha <superscript>-1</superscript> h <superscript>-1</superscript> yr <superscript>-1</superscript> . Five-minute rainfall data was analysed from 10 Slovenian rainfall stations with data-length availability longer than 25 years with a maximum data length of 69 years and a total data-station length equal to 443 years. Trends in the rainfall erosivity R-factor were detected for four different sub-samples using monthly, half-year, and annual rainfall erosivity values. The results indicate that rainfall erosivity trends for the selected Slovenian stations are mostly statistically insignificant, with the selected significance level of 0.05. However, a larger share of identified trends are positive than negative. The maximum annual rainfall erosivity values were obtained for one specific mountain station. Furthermore, a sensitivity analysis regarding the rainfall erosivity factor R calculation showed that the rainfall threshold parameter (12.7 mm) that is used to remove the small-magnitude rainfall events in order to reduce the computational burden can attribute up to 10% of the average annual R-values in cases where this threshold is not used. Other parameters have, on average, a smaller impact on the calculated rainfall erosivity. Furthermore, the application of local kinetic energy equations resulted in, on average, about 20% higher annual rainfall erosivity values compared to the equation that is proposed by the Revised Universal Soil Loss Equation (RUSLE) manual and was not developed specifically for this region.<br /> (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Subjects :
- Slovenia
Environmental Monitoring
Rain
Soil
Subjects
Details
- Language :
- English
- ISSN :
- 1096-0953
- Volume :
- 167
- Database :
- MEDLINE
- Journal :
- Environmental research
- Publication Type :
- Academic Journal
- Accession number :
- 30142629
- Full Text :
- https://doi.org/10.1016/j.envres.2018.08.020