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Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees
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General weather conditions may have a strong influence on the individual elements of the hydrological cycle, an important part of which is rainfall interception. The influence of general weather conditions on this process was analysed, evaluating separately the influence of various variables on throughfall, stemflow, and rainfall interception for a wet (2014), a dry (2015), and an average (2016) year. The analysed data were measured for the case of birch and pine trees at a study site in the city of Ljubljana, Slovenia. The relationship between the components of rainfall partitioning and the influential variables for the selected years was estimated using two statistical models, namely boosted regression trees and random forest. The results of both implemented models complemented each other well, as both indicated the rainfall amount and the number of raindrops as the most influential variables. During the wet year 2014 rainfall duration seems to play an important role, correlating with the previously observed influence of the variables during the wetter leafless period. Similarly, during the dry year 2015, rainfall intensity had a significant influence on rainfall partitioning by the birch tree, again corresponding to the influences observed during the drier leafed period.
Scientific work (r2)
1.01 - Original Scientific Article
FGG - Faculty of Civil and Geodetic Engineering
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Letn. 69, št. avg.
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Record is a part of a journal
Journal of hydrology and hydromechanics
J. Hydrol. hydromech.
Veda - vydavatelstvo SAV;, De Gruyter
Document is financed by a project
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Vodarstvo in geotehnika
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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odtok po deblu
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