Hydrology Program, Department of Earth and Environmental Science New Mexico Institute of Mining and Technology Socorro NM USA
Hydrology Program, Department of Earth and Environmental Science New Mexico Institute of Mining and Technology Socorro NM USA, Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA
Physics‐based distributed hydrological models that include groundwater are widely used to understand and predict physical and biogeochemical processes within watersheds. Typically, due to computational limitations, watershed modelers minimize the number of elements used in domain discretization, smoothing or even ignoring critical topographic features. We use an idealized model to investigate the implications of mesh refinement along streams and ridges for modeling three‐dimensional groundwater flow and transport in mountainous watersheds. For varying degrees of topographic complexity level (TCL), which increases with the level of mesh refinement, and geological heterogeneity, we estimate and compare steady state baseflow discharge, mean age, and concentration of subsurface weathering products. Results show that ignoring lower‐order streams or ridges diminishes flow through local flow paths and biases higher the contribution of intermediate and regional flow paths, and biases baseflow older. The magnitude of the bias increases for systems where permeability rapidly decreases with depth and is dominated by shallow flow paths. Based on a simple geochemical model, the concentration of weathering products is less sensitive to the TCL, partially due to the thermodynamic constraints on chemical reactions. Our idealized model also reproduces the observed emergent scaling relationship between the groundwater contribution to streamflow and drainage area, and finds that this scaling relationship is not sensitive to mesh TCL. The bias effects have important implications for the use of hydrological models in the interpretation of environmental tracer data and the prediction of biogeochemical evolution of stream water in mountainous watersheds.
Wang, Chao, et al. "The Importance of Capturing Topographic Features for Modeling Groundwater Flow and Transport in Mountainous Watersheds." Water Resources Research, vol. 54, no. 12, Dec. 2018. https://doi.org/10.1029/2018WR023863
Wang, Chao, Gomez‐Velez, Jesus D., & Wilson, John L. (2018). The Importance of Capturing Topographic Features for Modeling Groundwater Flow and Transport in Mountainous Watersheds. Water Resources Research, 54(12). https://doi.org/10.1029/2018WR023863
Wang, Chao, Gomez‐Velez, Jesus D., and Wilson, John L., "The Importance of Capturing Topographic Features for Modeling Groundwater Flow and Transport in Mountainous Watersheds," Water Resources Research 54, no. 12 (2018), https://doi.org/10.1029/2018WR023863
@article{osti_1547787,
author = {Wang, Chao and Gomez‐Velez, Jesus D. and Wilson, John L.},
title = {The Importance of Capturing Topographic Features for Modeling Groundwater Flow and Transport in Mountainous Watersheds},
annote = {Abstract Physics‐based distributed hydrological models that include groundwater are widely used to understand and predict physical and biogeochemical processes within watersheds. Typically, due to computational limitations, watershed modelers minimize the number of elements used in domain discretization, smoothing or even ignoring critical topographic features. We use an idealized model to investigate the implications of mesh refinement along streams and ridges for modeling three‐dimensional groundwater flow and transport in mountainous watersheds. For varying degrees of topographic complexity level (TCL), which increases with the level of mesh refinement, and geological heterogeneity, we estimate and compare steady state baseflow discharge, mean age, and concentration of subsurface weathering products. Results show that ignoring lower‐order streams or ridges diminishes flow through local flow paths and biases higher the contribution of intermediate and regional flow paths, and biases baseflow older. The magnitude of the bias increases for systems where permeability rapidly decreases with depth and is dominated by shallow flow paths. Based on a simple geochemical model, the concentration of weathering products is less sensitive to the TCL, partially due to the thermodynamic constraints on chemical reactions. Our idealized model also reproduces the observed emergent scaling relationship between the groundwater contribution to streamflow and drainage area, and finds that this scaling relationship is not sensitive to mesh TCL. The bias effects have important implications for the use of hydrological models in the interpretation of environmental tracer data and the prediction of biogeochemical evolution of stream water in mountainous watersheds.},
doi = {10.1029/2018WR023863},
url = {https://www.osti.gov/biblio/1547787},
journal = {Water Resources Research},
issn = {ISSN 0043-1397},
number = {12},
volume = {54},
place = {United States},
publisher = {American Geophysical Union (AGU)},
year = {2018},
month = {12}}