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Webinar on Modeling Effluent Mixing and Transport Using Machine Learning Methods

~ FREE ZOOM WEBINAR ~
IAHR Webinar on
Modeling Effluent Mixing and Transport Using Machine Learning Methods

June 28, 2024, Friday
1pm UTC | 3pm Madrid | 9pm Beijing | 9am New York

Watch on Demand

Estimating the processes of effluent mixing and transport is a challenging task due to the complex mechanisms and three-dimensional (3D) variability involved. However, it is crucial for water quality assessment and water resources management. Sophisticated numerical models based on 3D computational fluid dynamics (CFD) techniques can provide accurate predictions, but they are computationally expensive and require high-level 3D CFD expertise, which impedes their widespread usage.

Recent developments in machine learning (ML) techniques and computing resources have provided a new avenue for investigating complex physical processes. ML has been applied to various water-related problems and has demonstrated its potential as a powerful tool for the water resources research community. Therefore, ML is a promising candidate for modeling effluent mixing and transport.

The presentation will provide a general literature review on the background, methodologies, and applications of the subject. It will also discuss the technical perspective on applying ML to predict mixing problems. Finally, it will introduce several examples and case studies.

The webinar is organized by the IAHR/IWA Joint Committee on Outfall Systems.

Speaker

Xiaohui Yan

Chair

Majid Mohammadian

Program

  • Introduction to this webinar and the speak (5 mins)
    Majid Mohammadian | Chair, IAHR/IWA Joint Committee on Outfall Systems; Professor, Department of Civil Engineering at the University of Ottawa, Canada

  • Modeling Effluent Mixing and Transport Using Machine Learning Methods (30 mins)
    Xiaohui Yan | Associate Professor, Department of Hydraulic Engineering, Dalian University of Technology, China

  • Q&A session (10 mins)

About the Speaker

Xiaohui Yan is an associate professor in the Department of Hydraulic Engineering at Dalian University of Technology (DUT). He has significant experience in various aspects of water resources engineering. Dr. Yan has extensive expertise in environmental fluid mechanics, numerical modeling techniques, and machine learning algorithms for water-related applications. He has published more than 40 papers in prestigious journals, including Water Resources Research, Journal of Hydrology, Physics of Fluids, Atmospheric Research, Journal of Hydraulic Engineering, and Environmental Fluid Mechanics. The topics of his papers cover mixing and transport processes of pollutants in water bodies, sediment transport, numerical modeling techniques, artificial intelligence, and evapotranspiration estimations. 

More Information

  • How to participate: This webinar will be held via ZOOM Webinar, please click here to register and get the Zoom Webinar link.

  • More about IAHR/IWA Joint Committee on Outfall Systems

  • To request your Certificate of Participation, please fill an online form, the link of which will be posted in the Q&A window during the webinar.

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