1999
DOI: 10.1023/a:1019020518977
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Cited by 20 publications
(5 citation statements)
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“…Namely, a moderate increase up to < 100 mm yr 21 is expected in the north-western part of the basin, and a decrease down to < 120 mm yr 21 was simulated for the loess subregion located in the central part of the basin (Saxony -Anhalt). In this case we did not account for other possible effects, like decreased water use of plants when they are exposed to higher carbon dioxide levels (see such a study in Krysanova et al (1999); Krysanova and Wechsung (2002)).…”
Section: Resultsmentioning
confidence: 99%
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“…Namely, a moderate increase up to < 100 mm yr 21 is expected in the north-western part of the basin, and a decrease down to < 120 mm yr 21 was simulated for the loess subregion located in the central part of the basin (Saxony -Anhalt). In this case we did not account for other possible effects, like decreased water use of plants when they are exposed to higher carbon dioxide levels (see such a study in Krysanova et al (1999); Krysanova and Wechsung (2002)).…”
Section: Resultsmentioning
confidence: 99%
“…The model has proven to be able to reproduce sufficiently well the observed hydrological characteristics (river discharge, groundwater table, evapotranspiration) in meso-and large subbasins of the Elbe and in the total Elbe basin (Krysanova et al 1998;Hattermann et al 2002Hattermann et al , 2004, water quality characteristics (concentrations and loads) in four mesoscale subbasins and crop yield for six major crops in the state of Brandenburg (largely overlaps with the Elbe basin) and the Elbe basin (Krysanova et al 1999(Krysanova et al , 2004. As water quality is an important aspect of this paper, an example of model validation for nitrogen dynamics -a comparison of the simulated and observed NO 3 -N concentrations in the Nuthe River, gauge Babelsberg -is shown in Figure 2.…”
Section: Model Validationmentioning
confidence: 91%
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“…The eco-hydrological model SWIM SWIM is a process-based, time continuous, semi-distributed watershed model which describes the impact of land use and land management on hydrological fluxes at the landscape scale in conjunction with plant growth dynamics and soil organic carbon and nitrogen turnover. It can be regarded as robust and well evaluated for hydrological conditions of German river-catchments (Krysanova et al, 1998;Krysanova et al, 1999;Hattermann et al, 2005a;Hattermann et al, 2005b;Huang et al, 2010). SWIM integrates the heterogeneous landscape by simulating homogeneous landscape units (i.e.…”
Section: 1mentioning
confidence: 99%
“…The integration of crop simulation approaches into hydrological models has frequently been reported (Arnold et al, 1998;Krysanova et al, 1998;Klocking et al, 2003;Liu et al, 2009;Albano et al, 2017). However, only a few studies have addressed multi-criteria model evaluation, and simultaneously addressed crop yields and hydrological aspects (Krysanova et al, 1999;Huang et al, 2006;Luo et al, 2008;Srinivasan et al, 2010). Vegetation dynamics induce an essential feedbackmechanism for hydrological fluxes in terms of root water uptake and subsequent transpiration.…”
mentioning
confidence: 99%