1996
DOI: 10.1029/95wr03401
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Direct Simulation of Groundwater Age

Abstract: Abstract. A new method is proposed to simulate groundwater age directly, by use of an advection-dispersion transport equation with a distributed zero-order source of unit (1) strength, corresponding to the rate of aging. The dependent variable in the governing equation is the mean age, a mass-weighted average age. The governing equation is derived from residence-time-distribution concepts for the case of steady flow. For the more general case of transient flow, a transient governing equation for age is derived… Show more

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Cited by 301 publications
(349 citation statements)
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“…The numerical model also calculates the distribution of groundwater residence time (or groundwater age) from the predicted rates of advection and hydrodynamic dispersion (but not molecular diffusion), as described by Goode [1996] and Fritzel [1996]. The calculation does not account for the possibility of groundwater from basement rocks mixing into basin strata.…”
Section: Residence Timementioning
confidence: 99%
“…The numerical model also calculates the distribution of groundwater residence time (or groundwater age) from the predicted rates of advection and hydrodynamic dispersion (but not molecular diffusion), as described by Goode [1996] and Fritzel [1996]. The calculation does not account for the possibility of groundwater from basement rocks mixing into basin strata.…”
Section: Residence Timementioning
confidence: 99%
“…However a sample taken at a given location is often a mixture of waters that have been transported via various flow paths. Thus this residence time should be mostly interpreted as a weighted mean of idealized residence times (Bethke and Johnson, 2008;Goode, 1996;Jodar et al, 2014;Suckow, 2014;Torgersen et al, 2013;Turnadge and Smerdon, 2014). The major advantage of CFCs and SF 6 resides in the possibility to discriminate different water bodies considering various mixing models (piston flow, binary or exponential), providing information on aquifer functioning (Cook et al, 1995;Jodar et al, 2014;Kashiwaya et al, 2014;Zuber et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…We propose that the comparison of travel time from catchments from differing biomes could lead to a more systematic understanding of catchment behaviour and general theory. Because biogeochemistry is tightly linked to residence time, a better understanding of the travel time distributions will improve the assessment of nutrient removal capacity (Pinay et al, 2015), climate change impacts on stream chemistry (Abbott et al, 2015;Goode, 1996;McGuire et al, 2005) and exposure time (Ginn, 1999;Frei et al, this issue;Oldham et al, 2013).…”
Section: Temporal Variabilitymentioning
confidence: 99%