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Related Experiment Video

Updated: May 25, 2026

New Features in Visual Dynamics 3.0

New Features in Visual Dynamics 3.0

Published on: August 9, 2024

Improvements and corrections to AT123D code.

Daniel K Burnell¹, Barry H Lester, James W Mercer

¹Tetra Tech GEO, Inc., Sterling, VA 20164, USA. dan.burnell@tetratech.com

|January 31, 2012

Summary

This summary is machine-generated.

This study enhances the AT123D solute transport model to reduce numerical errors in complex simulations. The improved AT123D-AT code offers greater accuracy and efficiency for groundwater contamination modeling.

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Area of Science:

Environmental Science
Hydrogeology
Computational Science

Background:

Semi-analytical solute transport models can suffer from significant numerical errors.
High-frequency source terms and slow series convergence exacerbate these errors.
Existing models may struggle with accuracy and computational efficiency in complex scenarios.

Purpose of the Study:

To present and implement methods for correcting numerical errors in the AT123D code.
To enhance the accuracy and computational efficiency of solute transport simulations.
To enable accurate simulation of finite-duration (pulse) source releases.

Main Methods:

Incorporation of a Romberg numerical integration scheme with error criteria and variable time stepping.
Implementation of faster-converging series solution approximations for Green's functions.
Modification to eliminate redundant calculations for improved computational efficiency.

Main Results:

Reduced numerical errors in solute transport simulations, particularly for oscillatory source terms.
Improved accuracy and computational efficiency for finite-depth aquifers.
Successful simulation of finite-duration (pulse) source releases with the modified AT123D-AT code.

Conclusions:

The enhanced AT123D-AT code provides a more accurate and efficient tool for solute transport modeling.
The modifications address limitations of previous semi-analytical models.
This advancement is crucial for reliable groundwater contamination and remediation studies.