2023
DOI: 10.1016/j.advwatres.2022.104362
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Modeling evaluation of physiochemical processes controlling gas migration in shallow groundwater systems

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Cited by 3 publications
(3 citation statements)
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“…In addition, macro‐IP is computationally efficient, making it an attractive modeling approach as multiple simulations can be performed to capture variability and uncertainty with low computational expense. The macro‐IP model used in this study was based off the previous work of Mumford et al (2010) and Jain et al (2022) and was implemented in MATLAB. It should be noted that these model former implementations also included multicomponent mass transfer, which was neglected for this study, as this was handled in the MIN3P reactive transport simulations (described below).…”
Section: Methodsmentioning
confidence: 99%
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“…In addition, macro‐IP is computationally efficient, making it an attractive modeling approach as multiple simulations can be performed to capture variability and uncertainty with low computational expense. The macro‐IP model used in this study was based off the previous work of Mumford et al (2010) and Jain et al (2022) and was implemented in MATLAB. It should be noted that these model former implementations also included multicomponent mass transfer, which was neglected for this study, as this was handled in the MIN3P reactive transport simulations (described below).…”
Section: Methodsmentioning
confidence: 99%
“…This is done by defining a discretized 2D domain and randomly generating entry and withdrawal pressure fields and assigning these values to the domain. Then a gas release point is selected, and during each time‐step, gas is injected at a specified rate within the system, with its distribution governed by the ideal gas law (Jain et al 2022). A constant rate injection condition was selected to be consistent with previous modeling studies on GM (e.g., Roy et al 2016; Klazinga et al 2019; Schout et al 2020).…”
Section: Methodsmentioning
confidence: 99%
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