TY - JOUR
T1 - A Unifying Model for Turbulent Hyporheic Mass Flux Under a Wide Range of Near-Bed Hydrodynamic Conditions
AU - Chen, Chieh Ying
AU - Fytanidis, Dimitrios K.
AU - Garcia, Marcelo H.
N1 - The financial support by Metropolitan Water Reclamation District of Greater Chicago (MWRDGC) is gratefully acknowledged. The computational support by National Science Foundation via Grant ACI‐1548562 for Extreme Science and Engineering Discovery Environment (XSEDE), now migrated to Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS), is appreciated. This work used XSEDE Stampede2 at the Texas Advanced Computing Center (TACC) The University of Texas at Austin through allocation TG‐CTS190067 and Frontera at TACC through Pathways allocation CTS22005.
The financial support by Metropolitan Water Reclamation District of Greater Chicago (MWRDGC) is gratefully acknowledged. The computational support by National Science Foundation via Grant ACI-1548562 for Extreme Science and Engineering Discovery Environment (XSEDE), now migrated to Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS), is appreciated. This work used XSEDE Stampede2 at the Texas Advanced Computing Center (TACC) The University of Texas at Austin through allocation TG-CTS190067 and Frontera at TACC through Pathways allocation CTS22005.
PY - 2024/3/28
Y1 - 2024/3/28
N2 - Existing models for estimating hyporheic solute mass flux often require numerous parameters related to flow, bed, and channel characteristics, which are frequently unavailable. We performed a meta-analysis on existing data set, enhanced with high Reynolds number cases from a validated Computational Fluid Dynamics model, to identify key parameters influencing effective diffusivity at the sediment water interface. We applied multiple linear regression to generate empirical models for predicting eddy diffusivity. To simplify this, we developed two single-parameter models using either a roughness or permeability-based Reynolds number. These models were validated against existing models and literature data. The model using roughness Reynolds number is easy to use and can provide an estimate of the mass transfer coefficient for solutes like dissolved oxygen, particularly in scenarios where detailed bed characteristics such as permeability might not be readily available.
AB - Existing models for estimating hyporheic solute mass flux often require numerous parameters related to flow, bed, and channel characteristics, which are frequently unavailable. We performed a meta-analysis on existing data set, enhanced with high Reynolds number cases from a validated Computational Fluid Dynamics model, to identify key parameters influencing effective diffusivity at the sediment water interface. We applied multiple linear regression to generate empirical models for predicting eddy diffusivity. To simplify this, we developed two single-parameter models using either a roughness or permeability-based Reynolds number. These models were validated against existing models and literature data. The model using roughness Reynolds number is easy to use and can provide an estimate of the mass transfer coefficient for solutes like dissolved oxygen, particularly in scenarios where detailed bed characteristics such as permeability might not be readily available.
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U2 - 10.1029/2023GL105807
DO - 10.1029/2023GL105807
M3 - Article
AN - SCOPUS:85188945967
SN - 0094-8276
VL - 51
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 6
M1 - e2023GL105807
ER -