Calibrating the Exchange Coefficient in the Modified Coupled Continuum Pipe-Flow Model for Flows in Karst Aquifers
Abstract
We investigate the validity of the popular coupled-continuum pipe-flow (CCPF) model for flow in a karst aquifer. the (Navier) Stokes-Darcy model is used as the " true model" for calibrating the exchange coefficient in the CCPF model by minimizing the relative differences between results from the two models or at least by having those differences being below a prescribed threshold value. We find that although the CCPF model is never in perfect agreement with the Stokes-Darcy model, there is an almost universal choice for a nearly optimal exchange coefficient such that the relative error is below one percent. Our numerics suggest that the nearly optimal choice of the exchange coefficient should be sufficiently large instead of being a small quantity that is proportional to the hydraulic conductivity, as suggested in existing literatures. We also show that this nearly optimal choice of exchange coefficient is robust under a wide range of model parameters. This result demonstrates that the CCPF model is a valid approximation for flows in karst aquifers as long as we set the fluid exchange coefficient sufficiently large and at least in the simple two-dimensional setting that we consider. © 2011 Elsevier B.V.
Recommended Citation
N. Chen et al., "Calibrating the Exchange Coefficient in the Modified Coupled Continuum Pipe-Flow Model for Flows in Karst Aquifers," Journal of Hydrology, vol. 414 thru 415, pp. 294 - 301, Elsevier, Jan 2012.
The definitive version is available at https://doi.org/10.1016/j.jhydrol.2011.11.001
Department(s)
Mathematics and Statistics
Keywords and Phrases
Coupled-Continuum Pipe-Flow (CCPF) Model; Exchange Coefficient; Karst Aquifer; Stokes-Darcy Model
International Standard Serial Number (ISSN)
0022-1694
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Elsevier, All rights reserved.
Publication Date
11 Jan 2012
Comments
National Science Foundation, Grant 1008852