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SFRB-PARFLOW Progress made and future plans. Figure 1 – Domain defined in PARFLOW. Design of test case. Domain: Dx = Dy = 300m; Dz = 1m Total cells in domain ~ 10,500000
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Design of test case • Domain: Dx = Dy = 300m; Dz = 1m • Total cells in domain ~ 10,500000 • Initial condition: UFL -potentiometric surface obtained from SRWMD; intermediate confining unit- assumed fully saturated; surficial aquifer – assumed 80% of the depth fully saturated. • Boundary condition – zero flux on all sides of domain except the top where input as rainfall and output as overland flow was allowed • Rainfall-recession: cycle of 2hr rainfall followed by 22hr recession was applied continuously for 360 hr.
Figure 14 – Final pressure distribution (-1 – +0.1 m) – Top View
Future plans Short term goals • Incorporating soil,landuse/landcover,weather data into the model • Replace synthetic rainfall-recession cycle with CLM model which will simulate continuous water/energy balance at land surface of the domain • Run PARFLOW-CLM for known historic dry and wet periods to determine how it performs under different hydrologic conditions within SFRB and to evaluate ability to simulate: • Historic river flows and aquifer levels (compare to USGS and SRWMD data) • Surface-groundwater fractions in the river as a function of location, storm-size, antecedent conditions (compare to CTD data, legacy conductivity data) • Travel times of surface and groundwater to the river as a function of location, storm-size, antecedent conditions (compare to available tracer tests) • Dependence of river flows, aquifer levels, surface-groundwater mixing, travel-times on boundary conditions, pumping, landuse, climate changes
Future plans Long term goals • Test the degree to which increasing the level of complexity of regional scale PARFLOW model improves the physical representation of surface flows, groundwater levels, surface-groundwater interactions, and travel times within the basin. Three levels of complexity will be tested: • an integrated hydrologic model that assumes the aquifer behaves as an equivalent porous media (as previously described) • an integrated hydrologic model that incorporates conduits with randomly generated properties (length, cross section area) and locations (organization and orientation within the matrix) using geostatistical techniques • an integrated hydrologic model that incorporates conduits with properties and organization that are randomly generated then conditioned upon our current knowledge of conduits based on already mapped cave data