Dynamics of Reservoir of Medium Size

Imberger, Jörg; Loh, Ian; Hebbert, Bob; Patterson, John C.

doi:10.1061/jyceaj.0004997

Cited by 96 publications

(9 citation statements)

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“…In the past decades, several 1‐D model approaches have been developed and were able to reproduce thermal structures of lakes with high accuracy [e.g., Imberger et al ., ; Burchard et al ., ]. Perroud et al .…”

Section: Methodsmentioning

confidence: 99%

“…In the past decades, several 1-D model approaches have been developed and were able to reproduce thermal structures of lakes with high accuracy [e.g., Imberger et al, 1978;Burchard et al, 1999]. Perroud et al [2009] compared the performance of four such 1-D models in predicting the temperature structure of Lake Geneva.…”

Section: One-dimensional Model 231 the Numerical Model Simstratmentioning

confidence: 99%

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Effects of climate change on deepwater oxygen and winter mixing in a deep lake (Lake Geneva): Comparing observational findings and modeling

Schwefel

Gaudard

Wüest

et al. 2016

Water Resources Research

131

141

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Low concentrations of dissolved oxygen remain a global concern regarding the ecological health of lakes and reservoirs. In addition to high nutrient loads, climate‐induced changes in lake stratification and mixing represent additional anthropogenic menace resulting in decreased deepwater oxygen levels. The analysis of 43 years of monitoring data from Lake Geneva shows no decreasing trend neither in the areal hypolimnetic mineralization rate nor in the extent of hypoxia. Instead, hypoxic conditions are predominantly controlled by deep mixing in winter and much less by the trophic variations over the past decades. To reproduce winter mixing, the one‐dimensional hydrodynamic model SIMSTRAT was specially adapted to deep lakes and run for several climate scenarios. The simulations predicted a decrease in the maximum winter mixing depth from an average of ∼172 m for 1981–2012 to ∼136 m and ∼127 m in response to predicted atmospheric temperatures between 2045–2076 and 2070–2101 according to Intergovernmental Panel on Climate Change scenarios. Concurrently, events with complete homogenization of temperature and oxygen in winter will decrease by ∼50%. Consequently, the hypolimnetic oxygen concentrations will significantly decrease. These results demonstrate that changes in deep mixing can have stronger impact than eutrophication on the deepwater oxygen levels of oligomictic lakes.

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Section: Methodsmentioning

confidence: 99%

Section: One-dimensional Model 231 the Numerical Model Simstratmentioning

confidence: 99%

Effects of climate change on deepwater oxygen and winter mixing in a deep lake (Lake Geneva): Comparing observational findings and modeling

Schwefel

Gaudard

Wüest

et al. 2016

Water Resources Research

131

141

View full text Add to dashboard Cite

show abstract

“…The model computes the vertical profiles of temperature, salinity and density by considering hydrological and meteorological forcing. GLM adopts a flexible Lagrangian layer structure (Imberger et al, 1978;Imberger and Patterson, 1981), which allows the layer thicknesses to change dynamically by contraction and expansion, according to density changes driven by surface heating, mixing, inflows and outflows. The number of layers is adapted throughout the simulation to maintain homogeneous properties within them, while the water volume in each layer is 100 determined based on the site-specific hypsographic curve.…”

Section: General Lake Model (Glm)mentioning

confidence: 99%

Effects of dimensionality on the performance of hydrodynamic models

Ishikawa

González

Golyjeswski

et al. 2021

Preprint

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Abstract. 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 in computational power. The aim of this study is to compare three models with different dimensionality 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 one-year period. Their performance was assessed by comparing model results with measurements of temperature, flow velocity and turbulence. 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.

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“…Methods-The dynamic reservoir simulation model (DYRESM) was parameterized to model and simulate Clearwater Lake's thermal regime from 1973 to 2001. DYRESM is a numerical one-dimensional vertical heat transfer model used to simulate changes in lake thermal structure produced by inflows, outflows, and mixing (Imberger et al 1978). We configured the model to simulate daily temperature during the ice-free season for each year starting after spring turnover.…”

mentioning

confidence: 99%

Cooling lakes while the world warms: Effects of forest regrowth and increased dissolved organic matter on the thermal regime of a temperate, urban lake

Andrew

Norman

Keller

et al. 2008

Limnology & Oceanography

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Abstract-Depending on the magnitudes and directions of changes in air temperatures, winds, and underwater light attenuation, lakes may either warm or cool. Here we report a 28-yr decrease in the whole-lake average temperature of Clearwater Lake, Canada, despite regional signatures of climate warming. Using a one-dimensional lake mixing model, we demonstrate that this pattern was attributable to a 35% reduction in surface wind speeds, itself explained by forest regrowth following local SO 2 emission reductions and tree planting, and a 10-fold increase in dissolved organic carbon concentrations causing a substantial increase in vertical light attenuation following deacidification of the lake. Long-term trends in lake temperatures do not necessarily follow those of air temperatures. The Clearwater Lake data demonstrate that any factors that influence local wind speeds and underwater light attenuation should be considered as modifiers of the effects of climate warming on lake thermal regimes.

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Dynamics of Reservoir of Medium Size

Cited by 96 publications

References 0 publications

Effects of climate change on deepwater oxygen and winter mixing in a deep lake (Lake Geneva): Comparing observational findings and modeling

Effects of climate change on deepwater oxygen and winter mixing in a deep lake (Lake Geneva): Comparing observational findings and modeling

Effects of dimensionality on the performance of hydrodynamic models

Cooling lakes while the world warms: Effects of forest regrowth and increased dissolved organic matter on the thermal regime of a temperate, urban lake

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