0380201 - ÚH 2013 RIV SI eng C - Conference Paper (international conference)
Košková, Romana - Němečková, Soňa - Sitková, Z.
The assessment of evapotranspiration and soil water content in the Kysuca river basin (Slovakia) using rainfall-runoff model.
24. Conference of the Danubian Countries on the Hydrological Forecasting and Hydrological Bases of Water Management. Ljubljana: Slovenian National Committee for the IHP Unesco, 2008 - (Brilly, M.; Šraj, M.), 096. ISBN 978-961-91090-2-1.
[Conference of the Danubian Countries /24./. Bled (SI), 02.06.2008-04.06.2008]
R&D Projects: GA AV ČR(CZ) KJB300600602
Institutional research plan: CEZ:AV0Z20600510
Keywords : hydrologic modelling * soil water content * evapotranspiration * SWIM model
Subject RIV: DA - Hydrology ; Limnology
http://ksh.fgg.uni-lj.si/bled2008/cd_2008/01_Hydrological%20forecasting/096_Koskova.pdf

Rainfall-runoff modelling is a commonly used tool for analysis of various aspects in hydrological research. An application of the distributed hydrological model brings the benefits of assessment of the spatial distributed results. However, a huge amount of data is required in this modelling approach. Primarily description of the spatial distribution of soil and vegetation types is an essential task and substantially influences a resulting accuracy. The Kysuca river basin has been chosen for an evaluation of soil water content and evapotranspiration by a distributed hydrological model SWIM (Soil and Water Integrated Model). The basin is located in northwestern Slovakia and covers area of 1016 km2. The primary interest in this analysis was motivated by assessment of forest health conditions in the area and finding possible causes of forest deterioration. Evapotranspiration and soil water content in two selected soil layers in each hydrotop have been evaluated in simulation period 1995 – 1999. The set of the maps each representing an individual day of simulation period has been obtained as a result of the simulation for each variable mentioned above. The results were statistically processed and compared to the available observed data. Further research will be oriented to a comparison with the soil water data having been measured in the selected hydrotops in situ recently (measurement started in 2007).
Permanent Link: http://hdl.handle.net/11104/0210973