In this study, a three-dimensional model coupling hydrodynamics with algae transport dynamics is investigated. The hydrodynamic model solves the three-dimensional Navier-Stokes equations by a semi-implicit, fractional step method, where the hydrostatic components are determined first and the non-hydrostatic pressure and other components are determined in a subsequent step. Wind velocity on the water surface is accounted for the effect of wind stress on the flow velocities in the hydrodynamic model. Then, the model is coupled with an algae transport model, which enables simulation of algae transport and algal blooms. As an example, the model is implemented to analyze the transition of blue-green algae in Milford Lake, which is the largest man-made lake in Kansas suffering from blue-green algae blooms. The three-dimensional model provides a robust and efficient way for hydrodynamic and algae modeling and can be implemented to studies on different types of rivers and reservoirs easily. The simulated results can be very useful for algae control and prediction in both short and long terms.
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ASME 2017 Fluids Engineering Division Summer Meeting
July 30–August 3, 2017
Waikoloa, Hawaii, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5805-9
PROCEEDINGS PAPER
Three-Dimensional Computational Hydrodynamics Modeling for Algae Transport and Growth
Haidong Liu,
Haidong Liu
University of Kansas, Lawrence, KS
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Zhongquan Charlie Zheng,
Zhongquan Charlie Zheng
University of Kansas, Lawrence, KS
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Bryan Young
Bryan Young
University of Kansas, Lawrence, KS
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Haidong Liu
University of Kansas, Lawrence, KS
Zhongquan Charlie Zheng
University of Kansas, Lawrence, KS
Bryan Young
University of Kansas, Lawrence, KS
Paper No:
FEDSM2017-69050, V01BT11A002; 12 pages
Published Online:
October 24, 2017
Citation
Liu, H, Zheng, ZC, & Young, B. "Three-Dimensional Computational Hydrodynamics Modeling for Algae Transport and Growth." Proceedings of the ASME 2017 Fluids Engineering Division Summer Meeting. Volume 1B, Symposia: Fluid Measurement and Instrumentation; Fluid Dynamics of Wind Energy; Renewable and Sustainable Energy Conversion; Energy and Process Engineering; Microfluidics and Nanofluidics; Development and Applications in Computational Fluid Dynamics; DNS/LES and Hybrid RANS/LES Methods. Waikoloa, Hawaii, USA. July 30–August 3, 2017. V01BT11A002. ASME. https://doi.org/10.1115/FEDSM2017-69050
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