Age dating base flow at springs and gaining streams using helium‐3 and tritium: Fischa‐Dagnitz system, southern Vienna Basin, Austria

Stolp, B.J.; Solomon, D. Kip; Suckow, Axel; Vitvar, Tomáš; Rank, D.; Aggarwal, Pradeep; Han, Liang‐Feng

doi:10.1029/2009wr008006

Cited by 53 publications

(58 citation statements)

References 20 publications

(21 reference statements)

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“…Stolp et al (2010) noted that tracer concentrations measured in-river are related to inflow rate and subsequent losses, and Gardner et al (2011a) further defined the following ratio when sampling for helium in rivers:…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, discharge from springs may originate within a catchment (e.g., Ellins et al, 1990), or from an external basin (e.g., Solomon et al, 2010). Thus, variable water sources for baseflow can be expected, and methods for characterization have been challenged not only to define rates and locations, but also to begin defining flow-weighted mixtures of groundwater spanning different time scales (e.g., Stolp et al, 2010;Solomon et al, 2010).…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Identifying the contribution of regional groundwater to the baseflow of a tropical river (Daly River, Australia)

Smerdon

Gardner

Harrington

et al. 2012

Journal of Hydrology

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Identifying the contribution of regional groundwater to the baseflow of a tropical river (Daly River, Australia)

Smerdon

Gardner

Harrington

et al. 2012

Journal of Hydrology

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“…Systems presented in section 3 -and more generally, any system whose flow paths are analytically described -can be plugged together to generate composite RTDs. Examples of linear combinations include the exponential and dispersion models (Stolp et al, 2010), exponential and shape-free models (Goderniaux et al, 2013), two piston flow models (Eberts et al, 2012), exponential and piston-flow models (Eberts et al, 2012;Solomon et al, 2010), two exponential-piston-flow models (Green et al, 2014), and multiple dispersion models (Engdahl and Maxwell, 2014;Long and Putnam, 2009;McCallum et al, 2014).…”

Section: Steady-state Analytical Rtdsmentioning

confidence: 99%

Residence time distributions for hydrologic systems: Mechanistic foundations and steady-state analytical solutions

Leray

Engdahl

Massoudieh

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.Steady-state analytical RTDs contaminant transport, and ecosystem preservation. Analytical solutions are often adopted as a model of the RTD and a broad spectrum of models from many disciplines has been applied. Although these solutions are typically reduced in dimensionality and limited in complexity, their ease of use makes them preferred tools, specifically for the interpretation of tracer data. Our review begins with the mechanistic basis for the governing equations, highlighting the physics for generating a RTD, and a catalog of analytical solutions follows. This catalog explains the geometry, boundary conditions and physical aspects of the hydrologic systems, as well as the sampling conditions, that altogether give rise to specific RTDs. The similarities between models are noted, as are the appropriate conditions for their applicability. The presentation of simple solutions is followed by a presentation of more complicated analytical models for RTDs, including serial and parallel combinations, lagged systems, and non-Fickian models. The conditions for the appropriate use of analytical solutions are discussed, and we close with some thoughts on potential applications, alternative approaches, and future directions for modeling hydrologic residence time.

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“…Zuber et al, 2005;Stewart and Thomas, 2008;Einsiedl et al, 2009;Manning et al, 2012;Blavoux et al, 2013) and for the assessment of TT in surface water studies (Matsutani et al, 1993;Stewart et al, 2007;Morgenstern et al, 2010;Stolp et al, 2010;Stewart, 2012;Gusyev et al, 2013;Kralik et al, 2014). Most of these studies had to assume stationarity of the observed system by deriving a unique estimate of TT or RT from 3 H time-series data, in order to circumvent the bomb pulse issue.…”

Section: Introductionmentioning

confidence: 99%

Time series of tritium, stable isotopes and chloride reveal short-term variations in groundwater contribution to a stream

Duvert

Stewart

Cendón

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract.A major limitation to the assessment of catchment transit time (TT) stems from the use of stable isotopes or chloride as hydrological tracers, because these tracers are blind to older contributions. Yet, accurately capturing the TT of the old water fraction is essential, as is the assessment of its temporal variations under non-stationary catchment dynamics. In this study we used lumped convolution models to examine time series of tritium, stable isotopes and chloride in rainfall, streamwater and groundwater of a catchment located in subtropical Australia. Our objectives were to determine the different contributions to streamflow and their variations over time, and to understand the relationship between catchment TT and groundwater residence time. Stable isotopes and chloride provided consistent estimates of TT in the upstream part of the catchment. A young component to streamflow was identified that was partitioned into quickflow (mean TT ≈ 2 weeks) and discharge from the fractured igneous rocks forming the headwaters (mean TT ≈ 0.3 years). The use of tritium was beneficial for determining an older contribution to streamflow in the downstream area. The best fits between measured and modelled tritium activities were obtained for a mean TT of 16-25 years for this older groundwater component. This was significantly lower than the residence time calculated for groundwater in the alluvial aquifer feeding the stream downstream (≈ 76-102 years), emphasising the fact that water exiting the catchment and water stored in it had distinctive age distributions. When simulations were run separately on each tritium streamwater sample, the TT of old water fraction varied substantially over time, with values averaging 17 ± 6 years at low flow and 38 ± 15 years after major recharge events. This counterintuitive result was interpreted as the flushing out of deeper, older waters shortly after recharge by the resulting pressure wave propagation. Overall, this study shows the usefulness of collecting tritium data in streamwater to document short-term variations in the older component of the TT distribution. Our results also shed light on the complex relationships between stored water and water in transit, which are highly non-linear and remain poorly understood.

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Age dating base flow at springs and gaining streams using helium‐3 and tritium: Fischa‐Dagnitz system, southern Vienna Basin, Austria

Cited by 53 publications

References 20 publications

Identifying the contribution of regional groundwater to the baseflow of a tropical river (Daly River, Australia)

Identifying the contribution of regional groundwater to the baseflow of a tropical river (Daly River, Australia)

Residence time distributions for hydrologic systems: Mechanistic foundations and steady-state analytical solutions

Time series of tritium, stable isotopes and chloride reveal short-term variations in groundwater contribution to a stream

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