Numerical Simulation of Hydrodynamic Characteristics and Water Quality in Yangchenghu Lake

Zhu, Yinian; Yang, Juan; Hao, Jialing; Shen, Hongyan

doi:10.1007/978-3-540-89465-0_125

Cited by 7 publications

(9 citation statements)

References 3 publications

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“…The second comparison was done with a study of Nam Theun 2 reservoir, a large and shallow reservoir of 506 km 2 , mean depth of 8 m and maximum depth of 35 m in Lao PDR [6]. The third comparison was done with a study of Lake Yangchenghu, a large and shallow lake of 118 km 2 in China, composed of three basins whose the mean depth are 1.7, 1.8, and 2.65 m [7]. We compared the model configuration between these three study sites and Lake Créteil (Tables 1and 2): (i) the turbulence model: background horizontal eddy viscosity, background horizontal eddy diffusivity of heat, background vertical eddy viscosity, background vertical eddy diffusivity of heat, Ozmidov length; (ii) the flow boundary conditions: wind drag coefficient; and (iii) the heat flux model: Dalton number, Stanton number, and coefficient for free convection.…”

Section: Calibration Parametersmentioning

confidence: 99%

“…In Lake Créteil, the fetch length is not such that large surface waves can form and increase the wind drag coefficient. The wind drag coefficient was set to 0.0005 for Nam Theun 2 reservoir [6] and 0.0025 for Lake Yangchenghu [7]. This coefficient depends on the type of wind record and on the location of the meteorological station where wind speed was recorded.…”

Section: Calibration Parametersmentioning

confidence: 99%

“…Both wind data computed by the model of the European Centre for Medium-Range Weather Forecasts (ECMWF) with a 6-h time step and measurements from two automatic meteorological stations located on the lake with a 10-min time step was used for Nam Theun 2 reservoir [6]. A constant wind speed of 3 m s −1 from wind data measured in the region around the lake was used for Lake Yangchenghu [7].…”

Section: Calibration Parametersmentioning

confidence: 99%

“…In many cases, the goal of 3D modeling is to understand and predict the water quality evolution of a lake in response to changing external pressures: climate forcing, nutrient loading, and pollutant input [5,6,7]. The hydrodynamic sub-model is a tool aimed at providing the spatial water temperature distribution, the water current field, and the spatial patterns of mixing to the coupled water quality model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake

Soulignac

Vinçon‐Leite

Lemaire

et al. 2017

Environ Model Assess

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Section: Calibration Parametersmentioning

confidence: 99%

Section: Calibration Parametersmentioning

confidence: 99%

Section: Calibration Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake

Soulignac

Vinçon‐Leite

Lemaire

et al. 2017

Environ Model Assess

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“…Zhu et al [1] not only simulated currents from three dimensional hydrodynamic characte-ristics but also employed a two-dimensional water quality numerical model to simulate diffusion and transport of pollutants in Lake Yangchenghu. You et al [2] investigated eutrophication in Lake Taihu by simulating the effects of hydrodynamics on phosphorus fluxes.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Driving Force of Hydrodynamics in Lake Naivasha, Kenya

Ndungu¹,

Chen²,

Augustijn³

et al. 2015

OJMH

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The hydrodynamics in Lake Naivasha, a shallow endorheic lake, are simulated using the Delft3D Flow Module to investigate the major driving forces of hydrodynamics in the lake. The results showed wind as the major forcing. The shallow zones of the lake showed currents movement in the same direction as the wind while the deep zones showed currents movements against the wind direction. These findings were confirmed and further explained using an idealized model. Limited exchange between the Crescent Lake (crater lake which is temporally separated from the lake during low water levels) and the main lake was observed. These findings can explain the spatial variability of the water quality in the lake. Similar studies could be used in exploratory studies of the spatial-temporal variability in water quality in other shallow water systems.

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Physical effects of thermal pollution in lakes

Vinnå

Wüest

Bouffard

2017

Water Resources Research

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Anthropogenic heat emissions into inland waters influence water temperature and affect stratification, heat and nutrient fluxes, deep water renewal, and biota. Given the increased thermal stress on these systems by growing cooling demands of riparian/coastal infrastructures in combination with climate warming, the question arises on how to best monitor and manage these systems. In this study, we investigate local and system‐wide physical effects on the medium‐sized perialpine Lake Biel (Switzerland), influenced by point‐source cooling water emission from an upstream nuclear power plant (heat emission ∼700 MW, ∼18 W m−2 lake wide). We use one‐dimensional (SIMSTRAT) and three‐dimensional (Delft3D‐Flow) hydrodynamic numerical simulations and provide model resolution guidelines for future studies of thermal pollution. The effects on Lake Biel by the emitted excess heat are summarized as: (i) clear seasonal trend in temperature increase, locally up to 3.4°C and system‐wide volume mean ∼0.3°C, which corresponds to one decade of regional surface water climate warming; (ii) the majority of supplied thermal pollution (∼60%) leaves this short residence time (∼58 days) system via the main outlet, whereas the remaining heat exits to the atmosphere; (iii) increased length of stratified period due to the stabilizing effects of additional heat; (iv) system‐wide effects such as warmer temperature, prolonged stratified period, and river‐caused epilimnion flushing are resolved by both models whereas local raised temperature and river short circuiting was only identifiable with the three‐dimensional model approach. This model‐based method provides an ideal tool to assess man‐made impacts on lakes and their downstream outflows.

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Numerical Simulation of Hydrodynamic Characteristics and Water Quality in Yangchenghu Lake

Cited by 7 publications

References 3 publications

Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake

Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake

Analysis of the Driving Force of Hydrodynamics in Lake Naivasha, Kenya

Physical effects of thermal pollution in lakes

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