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Related Experiment Video

Updated: Sep 13, 2025

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

Flow partition in two-dimensional open channels with porous structures.

Fikri M Radiyan¹, Xiaofeng Liu^2,3

¹Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA, 16802, USA.

Scientific Reports

|August 2, 2025

Summary

A new algebraic model predicts how river flow splits around porous structures, crucial for flood control and habitat. The model, validated by experiments and simulations, highlights channel opening and drag as key factors.

Keywords:

Flow partition Flume experiments Machine learning Numerical simulation Porous structures

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Area of Science:

Hydrology
Fluid Mechanics
Environmental Engineering

Background:

Porous structures in rivers significantly influence flow dynamics.
Understanding flow partition is vital for applications like flood control, sediment transport, and habitat suitability.

Purpose of the Study:

Develop a simple algebraic model to predict flow partition through and around porous riverine structures.
Validate the model's performance using experimental and numerical data.
Quantify the influence of key dimensionless parameters on flow partition.

Main Methods:

Developed a first-principles algebraic model based on conservation laws.
Utilized three dimensionless parameters: Froude number (Fr), channel opening fraction (β), and drag coefficient.
Validated the model against flume experiments and SRH-2D numerical simulations.
Employed machine learning to analyze parameter importance.

Main Results:

The algebraic model accurately predicts flow partition fraction (α).
Channel opening fraction (β) and drag coefficient were identified as the most influential parameters.
Froude number (Fr) showed a less significant impact on flow partition.
Model performance degrades at extreme parameter values.

Conclusions:

The developed algebraic model offers a simple yet effective tool for preliminary engineering assessments of flow partition.
The findings provide insights into the dominant factors controlling flow behavior in porous riverine environments.
Further research may be needed to refine predictions for edge-case scenarios.