Huey Creek is a meltwater stream that flows into the north end of Lake Fryxell in Taylor Valley. We conducted a comparative study to determine flow balances, flow routing in Huey Creek in 2006. The hypothesis is that truncated hydrographs on Huey Creek (and other streams) are related to large subsurface storage potential that fills/empties over the daily flood pulse. The goal of the simulation and experimental data comparison described here is to use a coupled groundwater / surface flow model to test this hypothesis.
Representative figure: Simulated and observed discharges for (A) the full model; B) kinematic wave routing and subsurface flow, but no anabranching; C) kinematic wave routing, but no subsurface flow, and no anabranching. D) displays the difference between observations and the upstream boundary condition for each simulation.
Huey-Nut-C-Cycle-2006 summary results data spreadsheet details.
The description of the modeling input files for the Huey Creek streamflow and subsurface flow balances study
Model input files: The final run template is included. This contains the model domain, hydrologic inputs and streamflow routing rules (.sfr file). The three data sets can be run from this by 1) adjusting hydraulic conductivity in the .lpf and .sfr files (10 m/hr for subsurface flow or 10-6 for no subsurface flow), and 2) turning on or off the anabranches by setting the discharge threshold at which the anabranches fill (65 m3/hr for anabranching 650 for no anabranching).
Simulation output: One of the three final runs is included. This contains the hydrographs at the top and bottom of the anabranching reach and at the gage (fin2,fin7,and fin8.ggo, respectively) and the summary (.lst) file. Aquifer hydraulic head (.fhd) and the budget file (.bud) were not included because of the large file size (examples of .fhd results for active and inactive anabranching conditions (ie, high and low flow) can be found in the publication). A results summary file is included ‘ResultsSummaryCalcs.xlsx’, which includes the method for comparing model runs and quantifying error, and also includes calculations for storage change and exchange rate. The methodology is fully explained in the publication.
Data published in DEIMS in 2016