Numerical study of hydrodynamic process in Chaohu Lake

Chen, Yuan-ying; Liu, Qingquan

doi:10.1016/s1001-6058(15)60534-0

Cited by 17 publications

(8 citation statements)

References 15 publications

(7 reference statements)

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“…Overestimations in wind speed would rather weaken instead of intensifying stratification in the model. Although wind directions in the reanalysis data differed from measured directions, they were similar to what has been denoted as the main wind direction in Chaohu by others [54,60,62]. Huang et al [60] denote an eastern wind as the main wind direction between 2011 and 2013, which is comparable to the reanalysis from 2015 ( Figure 2).…”

Section: Discussionsupporting

confidence: 76%

“…Huang et al [60] denote an eastern wind as the main wind direction between 2011 and 2013, which is comparable to the reanalysis from 2015 ( Figure 2). Chen and Liu [62] state the main wind direction as south-east in summer. Dividing the reanalysis per month led to main wind directions either from south-south-west or east-north-east during the months June-August of the years 2014-2015 (data not shown).…”

Section: Discussionmentioning

confidence: 99%

“…We realised that this was a rather crude approximation, but it was our intention to follow a pragmatic approach that is easily applicable but also excluded uncertainties arising from poorly quantified or biased input data. A previous study by Chen and Liu [62] showed the limited influence of the inflows and the outflow on the whole lake thermodynamics and currents within the lake. In their modelling study, the outflow mainly influenced currents close to the dam in the eastern bay close to Chaohu City, while inflows had a negligible influence on the lake's hydrodynamics.…”

Section: Lake Modelmentioning

confidence: 95%

See 2 more Smart Citations

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Frassl

Boehrer

Holtermann

et al. 2018

Water

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In lakes and reservoirs, physical processes control temperature dynamics and stratification, which are important determinants of water quality. In large lakes, even extensive monitoring programs leave some of the patterns undiscovered and unresolved. Lake models can complement measurements in higher spatial and temporal resolution. These models require a set of driving data, particularly meteorological input data, which are compulsory to the models but at many locations not available at the desired scale or quality. It remains an open question whether these meteorological input data can be acquired in a sufficient quality by employing atmospheric models. In this study, we used the European Centre for Medium-Range Weather Forecasts' (ECMWF) ERA-Interim atmospheric reanalysis data as meteorological forcing for the three-dimensional hydrodynamic General Estuarine Transport Model (GETM). With this combination, we modelled the spatio-temporal variation in water temperature in the large, shallow Lake Chaohu, China. The model succeeded in reproducing the seasonal patterns of cooling and warming. While the model did predict diurnal patterns, these patterns were not precise enough to correctly estimate the extent of short stratification events. Nevertheless, applying reanalysis data proved useful for simulating general patterns of stratification dynamics and seasonal thermodynamics in a large shallow lake over the year. Utilising reanalysis data together with hydrodynamic models can, therefore, inform about water temperature dynamics in the respective water bodies and, by that, complement local measurements.

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Section: Discussionsupporting

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Section: Lake Modelmentioning

confidence: 95%

See 1 more Smart Citation

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Frassl

Boehrer

Holtermann

et al. 2018

Water

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“…Although originally developed as an ocean model, FVCOM has been applied to a number of large lakes (e.g. [14,48]), including a study of hydrodynamics and thermal structure in Lake Superior [70], and an examination of the influences of sediment transport on the ecosystem of Lake Michigan [12].…”

Section: D Hydrodynamic Model Descriptionmentioning

confidence: 99%

Implementation of a 3D ocean model to understand upland lake wind-driven circulation

2017

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A community numerical ocean model is used to extend the understanding of winddriven circulation in small upland lakes. A 3D model of a case study lake (Llyn Conwy, Wales, UK) is calibrated against measured velocity profiles via adjustment of the bottom roughness coefficient. Validation against a separate set of measured velocity profiles confirms the ability of the model to resolve key features of the flow field. Sensitivity analysis shows that the velocity field responds rapidly to changes in the wind forcing. Analysis of the gross circulation using Empirical Orthogonal Functions reveals a persistent two-gyre circulation pattern in the upper half layer of the water column driven by the interaction of wind and bathymetry. At the bottom, the flow is characterised by locally strong currents and analysis of vertical circulation over short time scales shows strong currents in the deepest parts of the lake basin and the responsiveness of the water column to changes in wind speed and direction. Even in small lakes, the assumption of uniform wind stress across the water surface is not always justified and topographic sheltering or other catchment roughness effects give rise to heterogeneity in the wind field. An idealized experiment for the case study lake shows that differences in circulation emerge if the wind stress is allowed to vary across the lake. Energetic wind forcing in upland areas can drive an energetic lake circulation that has important implications for mixing and sediment dynamics. 3D numerical modelling of winddriven circulation should be more widely used to provide insights into physical limnology to support a wide range of ecological, biogeochemical and palaeoenvironmental studies.

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“…Instead, numerical simulation is used for such study [2][3][4]. So far, many mathematical model had established [5][6][7][8][9][10][11]. Liu Xufeng et al [1] established a two-dimensional shallow-water hydrodynamic model to analyze primarily flow states of the wind-driven circulations in Taihu Lake, and undertook numerical simulation research on the distribution characteristics and rules of Taihu Lake hydrodynamic force under different wind conditions as well; Hu Weiping et al [12][13][14] performed a three-dimensional numerical simulation on the hydrodynamic force in Taihu Lake, and also studied wind-driven circulations in Taihu Lake in terms of positive and negative storm surges, typical wind fields, and reclamation in the Mashan district; Han Hongjuan et al [15] compared the structural differences between stratified flow fields and vertically average flow fields of Zhuhu Lake under the winds of different speeds, obtained the critical value of wind speeds that were jointly influenced by wind fields and inflow & outflow, and turned out to find that the critical value was dominated mainly by wind directions and inflow & outflow; Han Hongjuan et al [16] researched on the influence of inflow & outflow on the structure of Zhuhu Lake's flow fields as well.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Research on Flow Characteristics and Influential Factors of Wuxing Lake

Gao¹,

Feng²,

Han³

et al. 2016

IJHT

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An accurate simulation on the hydrodynamic force of shallow lakes plays an important role on migration and transformation of lake pollutants and the change rules of lake pollution concentration as well. Based on a twodimensional unstructured shallow-water hydrodynamic model, the paper conducted numerical simulation research on the flow field of Wuxing Lake, and studied profoundly the impact of different wind fields, lake boundaries, inflow & outflow, and means of inflow & outflow on the flow field of Wuxing Lake. The results showed that: wind speeds tremendously influence circulation strength of Wuxing Lake, but don't work on circulation patterns; there appear transitive circulation patterns under southeast and northwest steady wind, but the two circulations in this pattern have opposite directions; on contrary, one great and strong circulation appears under the rest directions of wind; the influence of lake boundaries on the change of Wuxing Lake's flow speeds and flow directions is only significant in where the boundaries change, but slight in lake areas that are far away from where boundaries change; inflow & outflow are only effective in changing water flows in the lake inlet and lake outlet; the difference of inflow means and outflow means exerts certain influence on flow fields in Wuxing Lake, but among them, the fluctuation means help improve the aquatic environment in Wuxing Lake. The research in the paper provides fundamental scientific bases for reconstructing a healthy ecological system of Wuxing Lake.

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Numerical study of hydrodynamic process in Chaohu Lake

Cited by 17 publications

References 15 publications

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Implementation of a 3D ocean model to understand upland lake wind-driven circulation

Numerical Simulation Research on Flow Characteristics and Influential Factors of Wuxing Lake

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