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Rainfall erosivity in Slovenia: Sensitivity estimation and trend detection
Manca Petek1, Matjaž Mikoš1, Nejc Bezak1
1University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia.
Rainfall erosivity in Slovenia shows high variability, with most trends being statistically insignificant. However, a sensitivity analysis revealed that rainfall data thresholds and local kinetic energy equations significantly impact erosivity calculations.
Area of Science:
- Environmental Science
- Hydrology
- Soil Science
Background:
- Slovenia exhibits significant rainfall erosivity variability, with maximum annual values exceeding 10,000 MJ mm ha⁻¹ h⁻¹ yr⁻¹.
- Understanding rainfall erosivity is crucial for soil erosion management in the region.
Purpose of the Study:
- To analyze trends in rainfall erosivity (R-factor) across Slovenia.
- To assess the impact of calculation parameters on R-factor values.
- To compare local kinetic energy equations with the RUSLE standard.
Main Methods:
- Analysis of five-minute rainfall data from 10 Slovenian stations (over 443 station-years).
- Detection of R-factor trends using monthly, half-year, and annual erosivity values.
- Sensitivity analysis of rainfall threshold parameters and kinetic energy equations.
Main Results:
- Most identified rainfall erosivity trends were statistically insignificant (p > 0.05), though more trends were positive than negative.
- A rainfall threshold parameter (12.7 mm) can account for up to 10% of average annual R-values.
- Local kinetic energy equations yielded ~20% higher annual erosivity than the RUSLE standard.
Conclusions:
- Rainfall erosivity trends in Slovenia are largely insignificant, but variability is high.
- Calculation methodologies, including rainfall thresholds and local energy equations, significantly influence R-factor outcomes.
- Region-specific equations are recommended for accurate rainfall erosivity assessment in Slovenia.
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