Managing Data with the CUAHSI Hydrologic Information System for the Santa Fe River Basin Research Projects in Florida K.A. McKee, M.S. - University of Florida Water Institute NSF projects and a Hydrologic Observatory The Santa Fe River Basin (SFRB) Florida, investigators are collecting high resolution (every hour) specific conductivity (SpC) at 12 river locations using deployed CTD Sondes. The basin overlies the limestone Floridan aquifer and is comprised of three hydrogeological units: upper confined region where the Hawthorne formation separates the aquifer from the surface system, the lower un-confined region where the Hawthorne formation is missing and the Floridan is at ground surface, and middle semi-confined region (Fig. 1). SpC reflects the sources and residence time of water before it reaches the steam; increased residence time in the subsurface results in an increase in ionic concentration, and therefore higher SpC values, due to dissolution of the limestone matrix. Rainfall and surface water reaching the stream show low SpC values. Historic water quality data obtained from the Environmental Protection Agency (EPA) legacy database along with the SpC data we have collected since February 2009 showed a distinctive contrast in SpC values measured in the upper confined and the lower unconfined region of the basin. These data are imported into HIS using Streaming Data Loader as they are downloaded every month. In the upper parts of the basin (eastern end), surface runoff and surficial storage dominates the hydrology resulting in low SpC values of the river water. In the lower unconfined region of the basin there is minimal runoff with virtually no stream network feeding the river; excess rainfall in this region infiltrates through the vadose zone to the aquifer, which subsequently feeds the river through a series of springs and diffuse groundwater inflow. This results in higher SpC values of the river water in the lower unconfined region of the basin. Our objective is to exploit this hypothesized strong end-member separation between riverine source water geochemistry to further improve our understanding of the riverine mixing and delivery dynamics and finally use this understanding to refine the PARFLOW.CLM predictions under varying hydrological conditions. Water Institute
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