20.500.12556/RUL-182671 Quantification of vegetation and meteorological variables influencing the kinetic energy of raindrops The process of interception, whereby vegetation partitions rainfall, largely influences natural processes such as soil erosion. The kinetic energy of rainfall plays a crucial role in evaluating this impact. In this study, we measured rainfall characteristics using three disdrometers placed above and below vegetation, specifically under two distinct tree species (birch and pine) in an urban area in Ljubljana, Slovenia. The study period extends over two years, subdivided into a dry and a wet sub-period. The investigation encompasses the effects of vegetation characteristics, raindrops characteristics and meteorological variables on the kinetic energy of throughfall. Two methods, namely boosted regression trees and random forest, were used to evaluate the influence of vegetation and meteorological variables on raindrop characteristics and their kinetic energy. The results indicate that, in general, pine reduces the kinetic energy of raindrops to a much greater extent than birch, and that birch exerts a positive effect on the reduction of kinetic energy only during the leafed period. Both applied machine learning models confirmed that the amount of throughfall has the greatest influence on kinetic energy, regardless of vegetation type. Furthermore, rainfall intensity and median-volume drop diameter exhibited a greater influence in the case of pine compared to the birch tree. Additionally, the findings indicate that the influence of the event duration on kinetic energy of throughfall differs depending on the presence of foliage on the tree canopy. rainfall interception throughfall kinetic energy urban trees machine learning prestrezanje padavin prepuščene padavine kinetična energija urbana drevesa strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2026-05-20 14:24:52 2026-05-20 14:25:02 2026-05-21 04:57:17 0000-00-00 00:00:00 2025 0 0 11 str. art. 110835 Vol. 375 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 556 0168-1923 10.1016/j.agrformet.2025.110835 249016067 1-s2.0-S016819232500454X-main.pdf 1-s2.0-S016819232500454X-main.pdf 1 F8C17CD0B7CC5E27511FFCAC85C96F61 2cfbb28a92028b3f655534035dd23a2449ac8f53ca008687154c8bb424753e4b f33df562-5446-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234143 https://www.sciencedirect.com/science/article/pii/S016819232500454X 0 c9e6c497-5446-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234142 Fakulteta za gradbeništvo in geodezijo 0 0 0