Published November 2018 | Version v1
Journal article

Rainfall erosivity in Slovenia: Sensitivity estimation and trend detection

  • 1. University of Ljubljana, Faculty of Civil and Geodetic Engineering (Slovenia)

Description

Highlights: • Rainfall erosivity for 10 rainfall stations located in Slovenia was evaluated. • Rainfall erosivity trends are mostly positive while mostly statistically insignificant. • The maximum rainfall erosivity is obtained under Alpine climate. • Monthly rainfall erosivity was computed. • Sensitivity analyses were carried out. 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-1 h-1 yr-1. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.envres.2018.08.020

Additional details

Identifiers

DOI
10.1016/j.envres.2018.08.020;
PII
S001393511731736X;

Publishing Information

Journal Title
Environmental Research
Journal Volume
167
Journal Page Range
p. 528-535
ISSN
0013-9351
CODEN
ENVRAL

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53027108
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ALPS; CLIMATES; CLIMATIC CHANGE; R FACTORS; RAIN; SENSITIVITY ANALYSIS; SLOVENIA; SOILS
Descriptors DEC
ATMOSPHERIC PRECIPITATIONS; EASTERN EUROPE; EUROPE; MOUNTAINS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.