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A robust optimization technique for analysis of multi-tracer experiments.
J. Contam. Hydrol. 224:103481 (2019)
Fate and transport of solutes in heterogeneous porous media is largely affected by diffusive mass exchange between mobile and immobile water zones. Since it is difficult to directly measure and determine the effect in the aquifers, multi-tracer experiments in combination with mathematical modeling are used to obtain quantitative information about unknown system parameters such as the effective mobile and immobile porosity, and the diffusive mass exchange between mobile and immobile water zones. The Single Fissure Dispersion Model (SFDM) describing nonreactive transport of solutes in saturated dual-porosity media, has been employed as a modeling approach to explain dual-porosity experiments in the field and laboratory (column experiments). SFDM optimization with conventional methods of minimization was immensely difficult due to its complex analytical form. Thus, previous studies used a trial and error procedure to fit it to the experimental observations. In this study, a rigorous optimization technique based on the newly developed scatter search method is presented that automatically minimizes the SFDM to find the optimal values of the hydrogeologically related parameters. The new program (OptSFDM) is accompanied with an easy-to-use graphical user interface (GUI) that is flexible and fully integrated. The program usability is showcased by a few, previously presented experimental case studies, and compared against the currently available, trial-and-error based, command-line executable, SFDM code.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Single Fissure Dispersion Model (sfdm) ; Nonlinear Minimization ; Scatter Search ; Tracer Experiments ; Nonreactive Transport; Fractured Porous-media; Matrix Diffusion; Solute Transport; Contaminant Transport; Reactive Transport; Immobile Water; Exchange; Rocks; Persistence; Kinetics
ISSN (print) / ISBN
0169-7722
e-ISSN
1873-6009
Journal
Journal of Contaminant Hydrology
Quellenangaben
Volume: 224,
Article Number: 103481
Publisher
Elsevier
Publishing Place
Po Box 211, 1000 Ae Amsterdam, Netherlands
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Groundwater Ecology (IGOE)