University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia.
University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia.
Environ Res. 2018 Nov;167:528-535. doi: 10.1016/j.envres.2018.08.020. Epub 2018 Aug 15.
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 h yr. 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.
斯洛文尼亚是欧盟国家中降雨侵蚀性值和变异性最大的国家之一,最大年值超过 10000 MJ mm ha h yr。对 10 个斯洛文尼亚降雨站的 5 分钟降雨数据进行了分析,这些降雨站的数据长度超过 25 年,最长数据长度为 69 年,总数据站长度为 443 年。使用月、半年和年降雨侵蚀性值,对四个不同的子样本进行了 R 因子降雨侵蚀性趋势检测。结果表明,所选斯洛文尼亚站的降雨侵蚀性趋势大多在统计上不显著,所选显著性水平为 0.05。然而,确定的趋势中,正值的比例大于负值。最大的年降雨量侵蚀性值是在一个特定的山区站获得的。此外,关于降雨侵蚀性因子 R 计算的敏感性分析表明,为了减少计算负担而去除小量级降雨事件的降雨阈值参数(12.7 mm)在不使用该阈值的情况下,可能会导致平均年 R 值增加 10%。其他参数对计算出的降雨侵蚀性的影响平均较小。此外,应用局部动能方程导致的年降雨侵蚀性值平均比修订通用土壤流失方程(RUSLE)手册中提出的方程高 20%左右,该方程不是专门为该地区开发的。