Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs
<p>Numerical models are an important tool for simulating temperature, hydrodynamics, and water quality in lakes and reservoirs. Existing models differ in dimensionality by considering spatial variations of simulated parameters (e.g., flow velocity and water temperature) in one (1D), two (2D) o...
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Copernicus Publications
2022-03-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/15/2197/2022/gmd-15-2197-2022.pdf |
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author | M. Ishikawa W. Gonzalez O. Golyjeswski G. Sales J. A. Rigotti T. Bleninger M. Mannich A. Lorke |
author_facet | M. Ishikawa W. Gonzalez O. Golyjeswski G. Sales J. A. Rigotti T. Bleninger M. Mannich A. Lorke |
author_sort | M. Ishikawa |
collection | DOAJ |
description | <p>Numerical models are an important tool for simulating
temperature, hydrodynamics, and water quality in lakes and reservoirs.
Existing models differ in dimensionality by considering spatial variations
of simulated parameters (e.g., flow velocity and water temperature) in one
(1D), two (2D) or three (3D) spatial dimensions. The different approaches
are based on different levels of simplification in the description of
hydrodynamic processes and result in different demands on computational
power. The aim of this study is to compare three models with different
dimensionalities and to analyze differences between model results in relation
to model simplifications. We analyze simulations of thermal stratification,
flow velocity and substance transport by density currents in a medium-sized
drinking-water reservoir in the subtropical zone, using three widely used
open-source models: GLM (1D), CE-QUAL-W2 (2D) and Delft3D (3D). The models
were operated with identical initial and boundary conditions over a 1-year
period. Their performance was assessed by comparing model results with
measurements of temperature, flow velocity and turbulence. Our results show
that all models were capable of simulating the seasonal changes in water
temperature and stratification. Flow velocities, only available for the 2D
and 3D approaches, were more challenging to reproduce, but 3D simulations
showed closer agreement with observations. With increasing dimensionality,
the quality of the simulations also increased in terms of error, correlation
and variance. None of the models provided good agreement with observations
in terms of mixed layer depth, which also affects the spreading of inflowing
water as density currents and the results of water quality models that
build on outputs of the hydrodynamic models.</p> |
first_indexed | 2024-12-13T01:57:48Z |
format | Article |
id | doaj.art-7bf3f6869abc4043958c77711e47f8a7 |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-12-13T01:57:48Z |
publishDate | 2022-03-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-7bf3f6869abc4043958c77711e47f8a72022-12-22T00:03:20ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-03-01152197222010.5194/gmd-15-2197-2022Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirsM. Ishikawa0W. Gonzalez1O. Golyjeswski2G. Sales3J. A. Rigotti4T. Bleninger5M. Mannich6A. Lorke7Institute for Environmental Sciences, University of Koblenz – Landau, Landau, 76829, GermanyInstitute for Water and River Basin Management, Karlsruhe Institute of Technology, Karlsruhe, 76131, GermanyGraduate Program in Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, BrazilGraduate Program in Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, BrazilGraduate Program in Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, 81531-990, BrazilDepartment of Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, BrazilDepartment of Environmental Engineering, Federal University of Paraná, Curitiba, 82590-300, BrazilInstitute for Environmental Sciences, University of Koblenz – Landau, Landau, 76829, Germany<p>Numerical models are an important tool for simulating temperature, hydrodynamics, and water quality in lakes and reservoirs. Existing models differ in dimensionality by considering spatial variations of simulated parameters (e.g., flow velocity and water temperature) in one (1D), two (2D) or three (3D) spatial dimensions. The different approaches are based on different levels of simplification in the description of hydrodynamic processes and result in different demands on computational power. The aim of this study is to compare three models with different dimensionalities and to analyze differences between model results in relation to model simplifications. We analyze simulations of thermal stratification, flow velocity and substance transport by density currents in a medium-sized drinking-water reservoir in the subtropical zone, using three widely used open-source models: GLM (1D), CE-QUAL-W2 (2D) and Delft3D (3D). The models were operated with identical initial and boundary conditions over a 1-year period. Their performance was assessed by comparing model results with measurements of temperature, flow velocity and turbulence. Our results show that all models were capable of simulating the seasonal changes in water temperature and stratification. Flow velocities, only available for the 2D and 3D approaches, were more challenging to reproduce, but 3D simulations showed closer agreement with observations. With increasing dimensionality, the quality of the simulations also increased in terms of error, correlation and variance. None of the models provided good agreement with observations in terms of mixed layer depth, which also affects the spreading of inflowing water as density currents and the results of water quality models that build on outputs of the hydrodynamic models.</p>https://gmd.copernicus.org/articles/15/2197/2022/gmd-15-2197-2022.pdf |
spellingShingle | M. Ishikawa W. Gonzalez O. Golyjeswski G. Sales J. A. Rigotti T. Bleninger M. Mannich A. Lorke Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs Geoscientific Model Development |
title | Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
title_full | Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
title_fullStr | Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
title_full_unstemmed | Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
title_short | Effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
title_sort | effects of dimensionality on the performance of hydrodynamic models for stratified lakes and reservoirs |
url | https://gmd.copernicus.org/articles/15/2197/2022/gmd-15-2197-2022.pdf |
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