Modeling the Impact of Wind Drag Coefficient on Wind-Driven Currents in Lake Taihu, China

The wind drag coefficient, Cd, has a great influence on the numerical results obtained from shallow lakes. To analyze the modeling impacts of Cd on wind-driven currents, a series of numerical simulations of Lake Taihu were conducted at three grid resolutions (800 m × 800 m, 400 m × 400 m, and 100 m × 100 m) using the empirical formulae of Flather (F76), Large and Pond (LP81), Large and Yeager (LY04), Andreas (A12), and Gao (G20). The G20 formula produced the optimum results of all the formulae for both the water level and velocity simulations; however, the grid resolution was found to have a significant influence on simulation in G20 cases. Thus, the G20 formula is only recommended when using a high-resolution grid to meet the accuracy requirements of analyzing wind-driven currents in the numerical modeling of Lake Taihu. A combination of the A12 formula and a coarse grid is preferred when taking computational efficiency into consideration.

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Publication Details

Journal
Water
Published
2024-10-19
DOI
https://doi.org/10.3390/w16202985
Citations
1
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.48

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article

Modeling the Impact of Wind Drag Coefficient on Wind-Driven Currents in Lake Taihu, China

Chenhui Wu, Zhengxian Zhang, Chunyue Zhu, Junjun Yu et al.
1 citations
Water
Ocean Waves and Remote Sensing
0.48
article

Modeling the Impact of Wind Drag Coefficient on Wind-Driven Currents in Lake Taihu, China

Chenhui Wu, Zhengxian Zhang, Chunyue Zhu, Junjun Yu, Guohua Yu, Ang Gao, J Liao, Yanqing Dou
article en
1 citations

Abstract

The wind drag coefficient, Cd, has a great influence on the numerical results obtained from shallow lakes. To analyze the modeling impacts of Cd on wind-driven currents, a series of numerical simulations of Lake Taihu were conducted at three grid resolutions (800 m × 800 m, 400 m × 400 m, and 100 m × 100 m) using the empirical formulae of Flather (F76), Large and Pond (LP81), Large and Yeager (LY04), Andreas (A12), and Gao (G20). The G20 formula produced the optimum results of all the formulae for both the water level and velocity simulations; however, the grid resolution was found to have a significant influence on simulation in G20 cases. Thus, the G20 formula is only recommended when using a high-resolution grid to meet the accuracy requirements of analyzing wind-driven currents in the numerical modeling of Lake Taihu. A combination of the A12 formula and a coarse grid is preferred when taking computational efficiency into consideration.

WaterVol. 16(20)
Hohai University (CN), Nanjing Forestry University (CN), Nanjing Hydraulic Research Institute (CN), Zhejiang Institute of Hydraulics & Estuary (CN), Zhejiang University of Water Resource and Electric Power (CN)
Zhejiang University of Water Resources and Electric Power, National Natural Science Foundation of China, Zhejiang University, Natural Science Foundation for Young Scientists of Shanxi Province, Young Scientists Fund
Openalex Percentile: Top 33%
Ocean Waves and Remote Sensing
0.48
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