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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?
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| 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, |
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| 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 |
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