NÉMETOVÁ, Zuzana, David HONEK a Tamara LÁTKOVÁ. The application of two physically-based erosion models in small catchments: A case study of the Myjava Hill Land, Slovakia. In HydroCarpath, International conference, Catchment Processes in Regional Hydrology: Experiments, Patterns and Predictions. 2017. ISBN 978-963-359-092-8. |
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@proceedings{27126, author = {Németová, Zuzana and Honek, David and Látková, Tamara}, booktitle = {HydroCarpath, International conference, Catchment Processes in Regional Hydrology: Experiments, Patterns and Predictions}, keywords = {potential soil erosion;EROSION 2D and 3D;event-based model;initial soil moistrure}, language = {eng}, isbn = {978-963-359-092-8}, title = {The application of two physically-based erosion models in small catchments: A case study of the Myjava Hill Land, Slovakia}, url = {http://hydrocarpath.nyme.hu}, year = {2017} }
TY - CONF ID - 27126 AU - Németová, Zuzana - Honek, David - Látková, Tamara PY - 2017 TI - The application of two physically-based erosion models in small catchments: A case study of the Myjava Hill Land, Slovakia SN - 9789633590928 KW - potential soil erosion;EROSION 2D and 3D;event-based model;initial soil moistrure UR - http://hydrocarpath.nyme.hu N2 - Modelling of water erosion to identify areas which are endangered of potential soil loss and to estimate the intensity of processes at different scales. Evaluation of potential soil water erosion in two small catchment using eight scenarios of initial soil moisture for three different crops – fallow, silage corn and winter wheat. Estimate the potential soil water erosion during the real measured rainfall event. Taking advanatge of two physically-based erosion models Erosion-2D and Erosion-3D and compare the calculations. ER -
NÉMETOVÁ, Zuzana, David HONEK a Tamara LÁTKOVÁ. The application of two physically-based erosion models in small catchments: A case study of the Myjava Hill Land, Slovakia. In \textit{HydroCarpath, International conference, Catchment Processes in Regional Hydrology: Experiments, Patterns and Predictions}. 2017. ISBN~978-963-359-092-8.
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