A review of methods for modelling environmental tracers in groundwater: Advantages of tracer concentration simulation

Turnadge, Chris; Smerdon, Brian

doi:10.1016/j.jhydrol.2014.10.056

Cited by 102 publications

(60 citation statements)

References 195 publications

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“…It is also a powerful integrative approach of groundwater origin and flow path organisation within aquifers (Anders et al, 2014;Bertrand et al, 2010;Gooddy et al, 2006;Jaunat et al, 2012;Kamtchueng et al, 2015). Furthermore, groundwater residence time provides information to constrain recharge area, discharge rate, flow directions and velocities, all necessary to either quantitatively validate a numerical or conceptual hydrogeological model Post et al, 2013;Turnadge and Smerdon, 2014;Zuber et al, 2005). When groundwater residence times are over timescale of 0-70 years, dating tools such as tritium, chlorofluorocarbons (CFCs) or sulphur hexafluoride (SF 6 ) may be used (Aeschbach-Hertig et al, 1998;Alvarado et al, 2005;Cook and Solomon, 1997;Corcho Alvarado et al, 2007;Delbart et al, 2014).…”

Section: Introductionmentioning

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%

See 1 more Smart Citation

Residence time, mineralization processes and groundwater origin within a carbonate coastal aquifer with a thick unsaturated zone

Santoni

Huneau

Garel

et al. 2016

Journal of Hydrology

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Residence time, mineralization processes and groundwater origin within a carbonate coastal aquifer with a thick unsaturated zone

Santoni

Huneau

Garel

et al. 2016

Journal of Hydrology

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“…Tracer-based methods have the advantage of being direct but can be relatively difficult to conduct, especially at the field scale. Moreover, the interpretation of breakthrough curves requires careful consideration of the properties of the tracer and the porous medium-for example, tracer mass transport mechanisms such as: (1) sorption to the porous medium, (2) diffusion from mobile to immobile pore water, (3) volatilization to the unsaturated zone, and (4) degradation or transformation are not truly representative of the void spaces through which water can travel by advection, i.e., effective porosity (Davis et al 1980;Turnadge and Smerdon 2014). Hall et al (1991) developed a relatively simple tracer-based method to calculate effective porosity based on conducting and interpreting the data from a single-well push-pull test.…”

Section: Introductionmentioning

confidence: 99%

Push-pull tests for estimating effective porosity: expanded analytical solution and in situ application

et al. 2017

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The analytical solution describing the onedimensional displacement of the center of mass of a tracer during an injection, drift, and extraction test (push-pull test) was expanded to account for displacement during the injection phase. The solution was expanded to improve the in situ estimation of effective porosity. The truncated equation assumed displacement during the injection phase was negligible, which may theoretically lead to an underestimation of the true value of effective porosity. To experimentally compare the expanded and truncated equations, single-well push-pull tests were conducted across six test wells located in a shallow, unconfined aquifer comprised of unconsolidated and heterogeneous silty and clayey fill materials. The push-pull tests were conducted by injection of bromide tracer, followed by a nonpumping period, and subsequent extraction of groundwater. The values of effective porosity from the expanded equation (0.6-5.0%) were substantially greater than from the truncated equation (0.1-1.3%). The expanded and truncated equations were compared to data from previous push-pull studies in the literature and demonstrated that displacement during the injection phase may or may not be negligible, depending on the aquifer properties and the push-pull test parameters. The results presented here also demonstrated the spatial variability of effective porosity within a relatively small study site can be substantial, and the error-propagated uncertainty of effective porosity can be mitigated to a reasonable level (< ± 0.5%).The tests presented here are also the first that the authors are aware of that estimate, in situ, the effective porosity of finegrained fill material.

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“…As it is impractical to measure the whole travel time distribution using injected hydrological tracers (but see Rodhe et al, 1996), different approaches, such as lumped parameter models, particle-tracking, and direct age simulation, have been developed to estimate travel time distributions (Turnadge and Smerdon, 2014). Several distribution types have been used in catchment studies, including the dispersion model (Kirchner et al, 2001;McGlynn et al, 8 2003;McGuire et al, 2002), the piston flow model (McGlynn et al, 2003), and exponentialpiston flow (Maloszewski and Zuber, 1996;McGlynn et al, 2003;McGuire et al, 2002;Timbe et al, 2014).…”

Section: Time Distribution Terms and Conceptsmentioning

confidence: 99%

Constitution of a catchment virtual observatory for sharing flow and transport models outputs

Thomas

Rousseau-Gueutin

Kolbe

et al. 2016

Journal of Hydrology

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Accepted ManuscriptConstitution of a catchment virtual observatory for sharing flow and transport models outputs Zahra Thomas, Pauline Rousseau-Gueutin, Tamara Kolbe, Benjamin W. Abbott, Jean Marçais, Stefan Peiffer, Sven Frei, Kevin Bishop, Pascal Pichelin, Gilles Pinay, Jean-Raynald de Dreuzy PII:S0022-1694(16)30260-8 DOI:http://dx.doi.org/10.1016/j.jhydrol.2016.04.067 Reference:HYDROL 21237To appear in: Journal of HydrologyPlease cite this article as: Thomas, Z., Rousseau-Gueutin, P., Kolbe, T., Abbott, B.W., Marçais, J., Peiffer, S., Frei, S., Bishop, K., Pichelin, P., Pinay, G., de Dreuzy, J-R., Constitution of a catchment virtual observatory for sharing flow and transport models outputs, Journal of Hydrology (2016), doi: http://dx.doi.org/10.1016/j.jhydrol. 2016.04.067This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. The mean transit time and whole stream residence time distribution are powerful metrics of catchment functioning, providing synoptic hydrological information such as water renewal time, heterogeneity of flowpaths, and overall water volume (Godsey et al., 2010;Hrachowitz et al., 2010; Marçais et al., 2015;McGuire and McDonnell, 2006;Van der Velde et al., 2012) . These hydrological parameters influence catchment biogeochemistry (Ocampo et al., 2006;Oldham et al., 2013;Pinay et al., 2015;Tetzlaff et al., 2007), further increasing their value as Constitution of a catchment virtual observatory for sharing flow and transport modelsObservatory for sharing models outputs Thomas et al. 4 indicators and predictors of catchment-scale water quality and chemistry. Because these parameters are of great general interest they feature prominently in the inputs and outputs of many models (e.g. McGuire et al., 2005;Tetzlaff et al., 2009a (Bishop et al., 2008). Small catchments express a wide diversity of subsurface flow configurations (Eberts et al., 2012;Gburek and Folmar, 1999;Sophocleous, 2002;Winter, 1999) depending on geological and topographical structures, distribution and timing of recharge, characteristics of the vadose zone, and free surface dynamics of the underlying aquifer (Bresciani et al., 2014;Schumann et al., 2010;Freer et al., 2002;Montgomery and Dietrich, 1989;O'loughlin, 1981;Šimŭnek et al., 2003;Voeckler et al., 2014; Dages et al., 2009; de Vries and Simmers, 2002;Scanlon et al., 2002).Observatory for sharing models outputs Thomas et al. 6 Perhaps most importantly in regards to catchment hydrology, small catchments are a convenient and powerful experimental unit. Compared to large catchments, there are fewer processes influencing behaviour of small catchments and collecti...

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A review of methods for modelling environmental tracers in groundwater: Advantages of tracer concentration simulation

Cited by 102 publications

References 195 publications

Residence time, mineralization processes and groundwater origin within a carbonate coastal aquifer with a thick unsaturated zone

Residence time, mineralization processes and groundwater origin within a carbonate coastal aquifer with a thick unsaturated zone

Push-pull tests for estimating effective porosity: expanded analytical solution and in situ application

Constitution of a catchment virtual observatory for sharing flow and transport models outputs

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