Thesis
Simulation of a groundwater tracer injection-withdrawal experiment using an advection-dispersion equation with generalized mobile-immobile exchange
Washington State University
Master of Science (MS), Washington State University
2019
Handle:
https://hdl.handle.net/2376/102912
Abstract
In this work, an integrodifferential finite difference numerical solution is developed in PTC Mathcad 15.0 for advective-dispersive transport with general mobile-immobile mass transfer, modeled using a "memory function form," in one radial dimension for simulation of a so-called "push-pull" experiment in groundwater performed by Gouze et al. (2008a). Two memory function datasets associated with the experiment, both produced as plots by the authors, are represented with piece-wise functions and utilized as inputs in the numerical solution: 1) GXMT, which was "measured" by simulating transport in very high resolution images of the porosity in cm-scale sample blocks, and 2) GMIM, which was calibrated to achieve the best-fit of a simulated breakthrough curve (BTC) to the field-scale tracer breakthrough curve (BTC). The finite difference approach is described and certain aspects of convergence and stability are tested with numerical experiments. The modeling reveals the apparent inability of the measured (GXMT) memory function to capture the field scale BTC behavior. Both memory function datasets are assessed in terms of a phase-exposure dependent first-order kinetic model (PhEDEX) for the sake of evaluating the remobilization rate coefficient kr(P).
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Details
- Title
- Simulation of a groundwater tracer injection-withdrawal experiment using an advection-dispersion equation with generalized mobile-immobile exchange
- Creators
- Clarisa Dawn Watkins
- Contributors
- Timothy R. Ginn (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Civil and Environmental Engineering, Department of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525176401842
- Language
- English
- Resource Type
- Thesis