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Updated: Mar 29, 2026

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

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Published on: November 18, 2015

Dredging for dilution: A simulation based case study in a Tidal River.

Ata Bilgili¹, Jeffrey A Proehl², M Robinson Swift³

¹Istanbul Technical University, Istanbul 34940, Turkey.

Journal of Environmental Management

|November 28, 2015

Summary

This summary is machine-generated.

Dredging and relocating wastewater outfalls in tidal rivers can improve pollutant dilution. This study used a 2-D hydrodynamic model to simulate pollutant dispersal, finding combined strategies enhance environmental management.

Keywords:

Dilution Dredging Lagrangian particle tracking Numerical modeling Pollutant Tides Waste water

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Published on: October 29, 2016

Area of Science:

Environmental fluid dynamics
Coastal engineering
Water quality modeling

Background:

Wastewater treatment facilities (WWTF) discharge pollutants into tidal rivers.
Dredging alters river hydrodynamics and pollutant dispersal patterns.
Understanding pollutant dilution is crucial for managing riverine environments.

Purpose of the Study:

To investigate the impact of dredging on hydrodynamics and pollutant dilution in a tidal river.
To evaluate different dredged channel and outfall configurations for improved dilution.
To assess the effectiveness of a combined Eulerian and Lagrangian modeling approach.

Main Methods:

A 2-D hydrodynamic finite element model with a Lagrangian particle module was employed.
The model simulated tidal advection and horizontal random walk for pollutant particles.
Three scenarios were tested: base-case, and two dredged configurations with relocated outfalls.

Main Results:

Simulated hydrodynamics align with observed conditions in the Oyster River.
Eulerian and Lagrangian residuals indicated pollutant flushing on longer time scales.
Relocating the WWTF outfall to the dredged channel significantly improved dilution performance.

Conclusions:

Dredging alone is insufficient; outfall relocation is essential for enhanced pollutant dilution.
The combined Eulerian-Lagrangian modeling approach offers a robust methodology for similar environmental management problems.
Statistical significance was achieved using a large particle count (16,000) in the simulations.