T249 From Pores to Mountains, and Minutes to Millennia (Posters): Session Dedicated to the Contributions of Rob Bowman, Fred Phillips, and John Wilson
Tuesday, 27 September 2016
9:00 AM - 6:30 PM
Exhibit Hall E/F
USING MULTIPLE GEOCHEMICAL TRACERS TO EXAMINE GEOTHERMAL INPUTS TO THE JEMEZ RIVER, NORTHERN NEW MEXICO
Paper number: T249-5
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM
Authors
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Laura CrosseyUniversity of New Mexico, Albuquerque, NM
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Valerie J. BlomgrenUniversity of New Mexico, Albuquerque, NM
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Karl KarlstromUniversity of New Mexico, Albuquerque, NM
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Chris McGibbonUniversity of New Mexico, Albuquerque, NM
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Victor J. PolyakUniversity of New Mexico, Albuquerque, NM
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Yemane AsmeromUniversity of New Mexico, Albuquerque, NM
Abstract
Samples were taken over a 40-km reach of the Jemez river, including tributaries and spring sources. The geochemical tracers used in this study include major and trace element chemistry, and stable and radiogenic isotopes. We apply geochemical models to estimate subsurface temperatures (geothermometry), as well as mixing models to quantitatively test flowpath hypotheses. Model results are also applied to continuous sensor data from the Jemez river, where specific conductance (a proxy for solute load) is inversely correlated to discharge.
Tools used for identifying site-specific mixing trends and potential solute sources were ternary diagrams (Cl-SO4-HCO3 and Na-K-Mg), Piper diagrams and variation diagrams. We analyzed a subset of waters in the Jemez river system (including springs and wells) for radiogenic strontium as well as uranium isotopic composition to develop a multiple tracer model. Strontium 87/86 values range from 0.7084 to 0.7232 and concentrations range from 0.07 to 3.0 ppm.
We present a combined tracer model (eg. Cl concentration and Sr isotopic composition) that quantifies the fraction of geothermal input. At low-flow conditions, the geothermal component from one spring contributes up to 20% of the streamflow, and the majority of the dissolved solute load. This model can be used to estimate salinity as a function of discharge, enabling the prediction of water quality impairment based on stream hydrographs.
Geological Society of America Abstracts with Programs. Vol. 48, No. 7
doi: 10.1130/abs/2016AM-285951
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