Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-2197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs
Institute for Environmental Sciences, University of Koblenz – Landau, Landau, 76829, Germany
Wendy Gonzalez
Institute for Water and River Basin Management, Karlsruhe Institute of Technology, Karlsruhe, 76131, Germany
Orides Golyjeswski
Graduate Program in Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, Brazil
Gabriela Sales
Graduate Program in Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, Brazil
J. Andreza Rigotti
Graduate Program in Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, 81531-990, Brazil
Tobias Bleninger
Department of Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, Brazil
Michael Mannich
Department of Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, Brazil
Andreas Lorke
Institute for Environmental Sciences, University of Koblenz – Landau, Landau, 76829, Germany
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Boreal rivers are significant sources of carbon dioxide (CO2) and methane (CH4) for the atmosphere, but the controls of these emissions are uncertain. We measured 4 months of CO2 and CH4 exchanges between a regulated boreal river and the atmosphere with eddy covariance. We found statistical relationships between the gas exchange and several environmental variables, the most important of which were dissolved CO2 partial pressure in water, wind speed and water temperature.
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Reservoir hydrodynamics is often described in numerical models differing in dimensionality. 1D and 2D models assume homogeneity along the unresolved dimension. We compare the performance of models with 1 to 3 dimensions. All models presented reasonable results for seasonal temperature dynamics. Neglecting longitudinal transport resulted in the largest deviations in temperature. Flow velocity could only be reproduced by the 3D model. Results support the selection of models and their assessment.
Reservoir hydrodynamics is often described in numerical models differing in dimensionality. 1D...