Experimental Support for a Simplified Approach to CTRW Transport Models and Exploration of Parameter Interpretation
We empirically test our earlier theoretical arguments about simplification of continuous‐time random walk (CTRW) solute transport models, namely that without loss of generality the velocity‐like term, vψ, may be set to mean groundwater velocity, the dispersion‐like term, Dψ, defined by a classical,...
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Published in | Water resources research Vol. 58; no. 5 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.05.2022
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Abstract | We empirically test our earlier theoretical arguments about simplification of continuous‐time random walk (CTRW) solute transport models, namely that without loss of generality the velocity‐like term, vψ, may be set to mean groundwater velocity, the dispersion‐like term, Dψ, defined by a classical, velocity‐independent dispersivity, and the so‐called time constant, τ, to unity. We also argue that for small‐scale heterogeneous advection (HA) and mobile‐immobile mass transfer (MIMT) CTRW transition time distributions, ψ(t), are unaffected by mean flow velocity. To experimentally test these claims, we re‐analyze two bench‐scale transport experiments—one for HA, one for MIMT—each performed at multiple flow rates in otherwise identical conditions, and show it is possible to simultaneously explain all breakthrough curves in each, subject to the above constraints. We compare our calibrations with earlier efforts for the same data sets. In the HA calibration we identify a ψ(t) of the same functional form as previous authors, and which yielded breakthrough predictions essentially identical to theirs, but with greatly differing parameters. This illustrates how values of individual CTRW parameters may not map one‐to‐one onto underlying physics. We recommend reporting complete model descriptions, discuss how the simplified approach assists in this and other theoretical considerations.
Key Points
We show how a simplified, physically‐constrained continuous‐time random walk (CTRW) approach and velocity‐independent transition time distributions explain experimental data
Breakthrough curves (BTCs) at multiple flow rates are fit with true velocities and shared CTRW parameters (with unit time constant) for two physical setups
We show by example how distinct sets of CTRW parameters may fit the same BTC ensemble; parameters cannot be interpreted individually |
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AbstractList | We empirically test our earlier theoretical arguments about simplification of continuous‐time random walk (CTRW) solute transport models, namely that without loss of generality the velocity‐like term, vψ, may be set to mean groundwater velocity, the dispersion‐like term, Dψ, defined by a classical, velocity‐independent dispersivity, and the so‐called time constant, τ, to unity. We also argue that for small‐scale heterogeneous advection (HA) and mobile‐immobile mass transfer (MIMT) CTRW transition time distributions, ψ(t), are unaffected by mean flow velocity. To experimentally test these claims, we re‐analyze two bench‐scale transport experiments—one for HA, one for MIMT—each performed at multiple flow rates in otherwise identical conditions, and show it is possible to simultaneously explain all breakthrough curves in each, subject to the above constraints. We compare our calibrations with earlier efforts for the same data sets. In the HA calibration we identify a ψ(t) of the same functional form as previous authors, and which yielded breakthrough predictions essentially identical to theirs, but with greatly differing parameters. This illustrates how values of individual CTRW parameters may not map one‐to‐one onto underlying physics. We recommend reporting complete model descriptions, discuss how the simplified approach assists in this and other theoretical considerations.
Key Points
We show how a simplified, physically‐constrained continuous‐time random walk (CTRW) approach and velocity‐independent transition time distributions explain experimental data
Breakthrough curves (BTCs) at multiple flow rates are fit with true velocities and shared CTRW parameters (with unit time constant) for two physical setups
We show by example how distinct sets of CTRW parameters may fit the same BTC ensemble; parameters cannot be interpreted individually |
Author | Hansen, Scott K. |
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CitedBy_id | crossref_primary_10_1029_2022WR032243 crossref_primary_10_1016_j_advwatres_2024_104830 crossref_primary_10_1016_j_jhydrol_2022_128790 crossref_primary_10_1016_j_scitotenv_2024_176084 |
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Snippet | We empirically test our earlier theoretical arguments about simplification of continuous‐time random walk (CTRW) solute transport models, namely that without... |
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SubjectTerms | continuous‐time random walk Laplace transform mass transfer model calibration solute transport upscaling |
Title | Experimental Support for a Simplified Approach to CTRW Transport Models and Exploration of Parameter Interpretation |
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