2013
DOI: 10.2458/azu_js_rc.v55i1.16279
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Carbon Isotope Exchange During Calcite Interaction With Brine: Implications for 14C Dating of Hypersaline Groundwater

Abstract: Due to its possible role in solid/water carbon isotope exchange, the effect of salinity on radiocarbon dating of groundwater was examined by batch interaction of alluvial sediment and calcite powder with freshwater (Cl– = 100 mg L–1) and Dead Sea (DS) brine (Cl– = 225 g L–1). These 2 water types were spiked with H13CO3– tracer and kept under constant agitation for about 1 yr. Several bottles were respiked twice with the tracer. The uptake of the 13C by calcite was monitored through repeated isotopic measuremen… Show more

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Cited by 19 publications
(27 citation statements)
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“…Determining which of these models most accurately represents reality has proven to be a difficult task because of technical challenges, which has been discussed extensively in the literature (Criss et al, 1987;Dubinina and Lakshtanov, 1997;Cole and Chakraborty, 2001;Curti et al, 2005;Curti et al, 2010;Avrahamov et al, 2013;Handler et al, 2014). The most straightforward way to test the models would be to collect complementary data that spatially resolves the isotopic composition of the solid.…”
Section: Summary Of Experimental Data Collection Protocol and Data Inmentioning
confidence: 99%
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“…Determining which of these models most accurately represents reality has proven to be a difficult task because of technical challenges, which has been discussed extensively in the literature (Criss et al, 1987;Dubinina and Lakshtanov, 1997;Cole and Chakraborty, 2001;Curti et al, 2005;Curti et al, 2010;Avrahamov et al, 2013;Handler et al, 2014). The most straightforward way to test the models would be to collect complementary data that spatially resolves the isotopic composition of the solid.…”
Section: Summary Of Experimental Data Collection Protocol and Data Inmentioning
confidence: 99%
“…Due to the inability to determine what model is most appropriate based on complementary data, the interpretive model is most commonly selected using an indirect approach in which experimental data is fit with each model and the goodness-of-fit parameters (e.g., R 2 values) are compared using least squares regression analyses (Curti et al, 2010;Avrahamov et al, 2013). An additional challenge in applying these models to experimental data is that the models are often founded on the assumption that the recrystallization rate remains constant over time.…”
Section: Summary Of Experimental Data Collection Protocol and Data Inmentioning
confidence: 99%
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