Thrust Areas Ecosystem Water Institute Classification Level
Water, Land Use and Ecosystems Water and Climate Water and Society Water Resources Sustainability Springs Wetlands Watersheds Aquifers Lakes Coastal Zone  Water Institute Classification 1  Water Institute Classification 2  Water Institute Classification 3  Water Institute Classification 4

Collaborative Research: High Resolution Sensor Networks for Quantifying and Predicting Surface-Groundwater Mixing and Nutrient Delivery in the Santa Fe River, Florida
Goals and Objectives
The goal of this project is to improve understanding of surface and groundwater mixing dynamics, and the control that mixing exerts on chemical fluxes, in karst river basins. Our overarching hypothesis is that strong coupling between riverine hydrology and biogeochemistry yields a suite of natural tracers that, when measured at temporal densities concordant with water fluxes (i.e., daily or sub-daily), can yield new insights into riverine source water and mixing dynamics. To enhance understanding of the dynamic coupling between watershed elemental budgets and hydrologic variability we propose a suite of high temporal resolution measurements of these solutes coupled with improved quantification of riverine mixing from natural tracers. Moreover, we predict that this new information on surface water-groundwater mixing in rivers will allow improved model conceptualization and parameterization that will increase prediction accuracy of in-stream, and near-stream hydrologic chemical fluxes.

We propose three coupled science and engineering questions: 1) What are the temporal and longitudinal dynamics of surface-groundwater mixing, and how do these affect the delivery of ecologically relevant solutes (nitrate, phosphate, H+, dissolved organic carbon)? 2) To what magnitude, and over what spatiotemporal domain, does assimilation of high resolution stream chemistry data into integrated, parallel watershed models (e.g., PARFLOW) improve predictions of stream flow, groundwater elevation, surface/groundwater mixing and solute transport?3) To what extent are real-time predictions of stream flow and surface/groundwater mixing ratios improved when Bayesian network models incorporate high resolution stream chemistry measurements and process model predictions along with mission agency data?

Available Outputs

Title: Characterization of groundwater and surface water mixing in a semi-confined karst aquifer using time lapse electrical resistivity tomography. Water Resources Research, DOI: 10.1002/2013WR013991,in press, 2014.
Authors: Meyerhoff, S, R. Maxwell, A. Revil, J. Martin, M. Karaoulis, and W. Graham,

Title: A particle-tracking scheme for simulating pathlines in coupled surface-subsurface flows, Advances in Water Resources, Volume 52, Pages 7–18, 2013.
Authors: de Rooij, R., Graham, W., Maxwell, R.M.

Title: A Scalable Approach to Fusing Spatio-Temporal Data to Estimate Streamflow via a Bayesian Network, IEEE Transactions on Geoscience and Remote Sensing, Vol PP, Issue 99, doi:10.1109/TGRS.2010.2049115, 2010.
Authors: Nagarajan K., C. Krekeler, K. C. Slatton, and W. D. Graham

Title: Effects of Antecedent Hydrogeologic Conditions on Flood Magnitude and Recharge to the Floridan Aquifer in North-Central Florida
Authors: Ball, C. and J.B. Martin

Title: From rainfall to spring discharge: Coupling conduit flow, subsurface matrix flow and surface flow in karst systems with a discrete-continuum model, Advances in Water Resources,Volume 61, Pages 29-41, 2013.
Authors: de Rooij, R., P. Perrochet, and W. Graham

Title: Influence of diel biogeochemical cycles on carbonate equilibrium in a karst river. Chemical Geology
Authors: De Montety, V., J.B. Martin, M.J. Cohen, M.J. Kurz and C.R. Foster

Title: Insights on geologic and vegetative controls over hydrologic behavior of a large complex basin – Global Sensitivity Analysis of an integrated parallel hydrologic model
Authors: Srivastava, V., W. Graham, R. Munoz-Carpena, and R. Maxwell

Title: Time variant cross-correlation to assess residence time of water, implication for hydraulics of a sink/rise karst system, Water Resources Research, v. 47 W05547, doi: 10.1029/2010WR009613, 2011
Authors: Bailly-Comte, V., et al.

Title: Visualization of conduit-matrix conductivity differences in a karst aquifer using time-lapse electrical resistivity, GEOPHYSICAL RESEARCH LETTERS, VOL. 39, L24401, doi:10.1029/2012GL053933, 2012
Authors: Meyerhoff, Steven B., Marios Karaoulis, Florian Fiebig, Reed M. Maxwell, Andre Revil, Jonathan B. Martin, and Wendy D. Graham
Project Lead
Graham, Wendy Dimbero
Project Participants
Cohen, Matthew J
Delfino, Joseph J
Graham, Wendy Dimbero
Martin, Jonathan Bowman
Slatton, Kenneth Clint
Additional Participants
Ray Thomas
Level 3: WI Directed Project
Water, Land Use and Ecosystems
Grant Award Dates
8/1/2009 to 7/31/2012