Multiscale framework for modeling multicomponent reactive transport in stream corridors
Abstract
Here, travel time–based representations of transport, a highly successful strategy for modeling conservative tracer transport in stream corridors, are extended to accommodate multicomponent reactive transport. Specifically, convolution representations used to model exchange of solute with the hyporheic zone are shown to be equivalent to solving one–dimensional subgrid models in Lagrangian form coupled to the advection dispersion equation for the stream channel. Unlike the convolution–based representations of previous travel time–based stream transport models, the subgrid model generalizes to include multicomponent reactive transport with general nonlinear reactions. An example involving biomass growth, the establishment of redox zonation, and the resulting impact on denitrification rates demonstrate reach–scale application of the new approach. Although simplified, those example simulations show some of the key phenomena associated with hyporheic–zone denitrification that are not represented with conventional first–order estimates.
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1474870
- Alternate Identifier(s):
- OSTI ID: 1476374
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Water Resources Research
- Additional Journal Information:
- Journal Volume: 54; Journal Issue: 10; Journal ID: ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; reactive transport; streams; hyporheic zone; multi scale
Citation Formats
Painter, Scott L. Multiscale framework for modeling multicomponent reactive transport in stream corridors. United States: N. p., 2018.
Web. doi:10.1029/2018WR022831.
Painter, Scott L. Multiscale framework for modeling multicomponent reactive transport in stream corridors. United States. https://doi.org/10.1029/2018WR022831
Painter, Scott L. Wed .
"Multiscale framework for modeling multicomponent reactive transport in stream corridors". United States. https://doi.org/10.1029/2018WR022831. https://www.osti.gov/servlets/purl/1474870.
@article{osti_1474870,
title = {Multiscale framework for modeling multicomponent reactive transport in stream corridors},
author = {Painter, Scott L.},
abstractNote = {Here, travel time–based representations of transport, a highly successful strategy for modeling conservative tracer transport in stream corridors, are extended to accommodate multicomponent reactive transport. Specifically, convolution representations used to model exchange of solute with the hyporheic zone are shown to be equivalent to solving one–dimensional subgrid models in Lagrangian form coupled to the advection dispersion equation for the stream channel. Unlike the convolution–based representations of previous travel time–based stream transport models, the subgrid model generalizes to include multicomponent reactive transport with general nonlinear reactions. An example involving biomass growth, the establishment of redox zonation, and the resulting impact on denitrification rates demonstrate reach–scale application of the new approach. Although simplified, those example simulations show some of the key phenomena associated with hyporheic–zone denitrification that are not represented with conventional first–order estimates.},
doi = {10.1029/2018WR022831},
journal = {Water Resources Research},
number = 10,
volume = 54,
place = {United States},
year = {2018},
month = {9}
}
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Figure 1: Schematic of a multiscale representation of transport in a stream corridor. Hyporheic zone transport is represented by subgrid models in residence time formulation, which are coupled to the stream channel. The subgrid auxiliary equation associated with each channel grid cell is representative of the ensemble of pathways withinmore »
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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.