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An Explicit Solution for Characterizing Non-Fickian Solute Transport in Natural Streams

Authors :
Byunguk Kim
Siyoon Kwon
Il Won Seo
Source :
Water, Vol 15, Iss 9, p 1702 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

One-dimensional solute transport modeling is fundamental to enhance understanding of river mixing mechanisms, and is useful in predicting solute concentration variation and fate in rivers. Motivated by the need of more adaptive and efficient model, an exact and efficient solution for simulating breakthrough curves that vary with non-Fickian transport in natural streams was presented, which was based on an existing implicit advection-dispersion equation that incorporates the storage effect. The solution for the Gaussian approximation with a shape-free boundary condition was derived using a routing procedure, and the storage effect was incorporated using a stochastic concept with a memory function. The proposed solution was validated by comparison with analytical and numerical solutions, and the results were efficient and exact. Its performance in simulating non-Fickian transport in streams was validated using field tracer data, and good agreement was achieved with 0.990 of R2. Despite the accurate reproduction of the overall breakthrough curves, considerable errors in their late-time behaviors were found depending upon the memory function formulae. One of the key results was that the proper formula for the memory function is inconsistent according to the data and optimal parameters. Therefore, to gain a deeper understanding of non-Fickian transport in natural streams, identifying the true memory function from the tracer data is required.

Details

Language :
English
ISSN :
20734441
Volume :
15
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Water
Publication Type :
Academic Journal
Accession number :
edsdoj.42abc85ea784396b570a86afea63454
Document Type :
article
Full Text :
https://doi.org/10.3390/w15091702