Search research articles

Search research articles

Related Experiment Videos

Predicting diffused-bubble oxygen transfer rate using the discrete-bubble model.

Daniel F McGinnis¹, John C Little

¹Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, 24061-0246, USA.

|November 7, 2002

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

One Earth + One Health: An Agile, Evolutionary, System-of-Systems Convergence Paradigm.

Environmental science & technology·2026

Same author

Chemicals of Emerging Concern Emitted from Water-Based Paints: Experiments and Modeling.

Environmental science & technology·2025

Same author

A biogenic principle within the constructal law: The flow of information in biological systems.

Bio Systems·2025

Same author

Quantifying EDC Emissions from Consumer Products: A Novel Rapid Method and Its Application for Systematic Evaluation of Health Impacts.

Environmental science & technology·2024

Same author

Evaluation of the methane paradox in four adjacent pre-alpine lakes across a trophic gradient.

Nature communications·2023

Same author

Earth Systems to Anthropocene Systems: An Evolutionary, System-of-Systems, Convergence Paradigm for Interdependent Societal Challenges.

Environmental science & technology·2023

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

A new discrete-bubble model accurately predicts oxygen transfer rates in diffused-bubble systems. This model is valuable for optimizing oxygenation systems by considering bubble size and environmental factors.

Area of Science:

Environmental Engineering
Chemical Engineering
Fluid Dynamics

Background:

Diffused-bubble systems are crucial for oxygen transfer in various applications.
Accurate prediction of oxygen transfer is essential for system efficiency and design.
Existing models may not fully account for dynamic bubble behavior.

Purpose of the Study:

To evaluate a discrete-bubble model for predicting oxygen transfer rates in diffused-bubble systems.
To assess the model's accuracy using experimental data from a deep tank.
To determine the model's utility in optimizing oxygenation systems.

Main Methods:

A discrete-bubble model was employed, using gas flow rate and initial bubble size distribution as key inputs.
The model dynamically adjusted bubble volume, hydrostatic pressure, temperature, bubble-rise velocity, and mass-transfer coefficient.

Related Experiment Videos

Sauter-mean diameter was used to represent bubble size distribution for computational efficiency.

Main Results:

The model successfully predicted oxygen transfer test data within a 15% margin of error.
The model accurately captured the behavior of bubbles across a diameter range of 0.2-2 mm.
Using Sauter-mean diameter did not compromise prediction accuracy.

Conclusions:

The evaluated discrete-bubble model provides a reliable method for predicting oxygen transfer in diffused-bubble systems.
The model's ability to account for dynamic bubble characteristics enhances its applicability.
This model is a valuable tool for designing and optimizing hypolimnetic oxygenation and other diffused-bubble applications.