HR: 0800h
AN: H51B-0359    [Abstracts]
TI: Spatial Variation in Runoff in Sweden Related to Climate, Soil type and Land-use
AU: * Lindstrom, G J
EM: goran.lindstrom@smhi.se
AF: Swedish Meteorological and Hydrological Institute, SMHI SE-60176 , Norrkoping, 60176 Sweden
AU: Pers, C
EM: Charlotta.Pers@smhi.se
AF: Swedish Meteorological and Hydrological Institute, SMHI SE-60176 , Norrkoping, 60176 Sweden
AU: Rosberg, J
EM: Jorgen.Rosberg@smhi.se
AF: Swedish Meteorological and Hydrological Institute, SMHI SE-60176 , Norrkoping, 60176 Sweden
AU: Rodhe, A
EM: allan.rodhe@hyd.uu.se
AF: Uppsala University Uppsala University, Villav„gen 16 SE-752 36, UPPSALA, 752 36 Sweden
AB: The spatial variation of runoff in Sweden is studied with the aim of improving the prediction of runoff in ungauged basins. A simple water balance model is applied to some 250 discharge stations. Mean areal precipitation and air temperature for the catchments are based on optimal interpolation. The model is run with a daily time step, for the period 1961-2003. The snow routine and a simplified version of the soil moisture routine of the HBV-model are used. The philosophy is to use as few parameters as possible and to use the same parameter values all over Sweden. The field capacity of the soil is related to soil type. Eight soil types are used. Snow melt parameters and evapotranspiration are related to land-use, by a division into forest, open land and lakes. Almost half of the country is covered by forested moraine, the most common combination of soil type and land-use. National model parameter values are optimised by minimizing the difference between simulated and recorded runoff for each catchment, on an annual basis. A baseline simulation, in which differences in geology and land-use are disregarded, shows that the climate alone can explain most of the spatial variation of average runoff in Sweden. The gain in prediction quality that is obtained by the introduction of soil type and land-use as information for runoff interpolation will be presented, as well as a discussion on the implications of the results.
DE: 1846 Model calibration (3333)
DE: 1847 Modeling
DE: 1865 Soils (0486)
DE: 1874 Ungaged basins
SC: Hydrology [H]
MN: Fall Meeting 2005