Groundwater inflow to a shallow, poorly-mixed wetland estimated from a mass balance of radon

Cook, Peter G.; Wood, Cameron; White, Troy; Simmons, Craig T.; Fass, Thorsten; Brunner, Philip

doi:10.1016/j.jhydrol.2008.03.016

Cited by 93 publications

(72 citation statements)

References 22 publications

(26 reference statements)

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“…4. It has been shown experimentally (Hamada and Kishi, 2004) and in the field (Cook et al, 2008;Emerson, 1975) that at very low to no wind speeds k tends to an asymptote value of 0.1-0.2 m d -1 , probably as a result of light turbulent mixing induced by thermal instability in the water column and 222 Rn diffusion across the water-air interface (Wanninkhof et al, 2009). We have set k=0.2 m d -1 as a lower boundary for all k values.…”

Section: Radon-222mentioning

confidence: 99%

“…The diffusive 222 Rn flux from the sediments (F sed ) can be quantified using incubation experiments, column experiments, empirical models, or field chamber experiments (Cook et al, 2008;Corbett et al, 1998;Dulaiova et al, 2010;Martens et al, 1980). Alternatively, it can be estimated by assuming that the lowest activity measured in the field represents 222 Rn supported wholly by diffusion from the sediments (Cook et al, 2008;Schmidt et al, 2010).…”

Section: Diffusive 222 Rn Fluxes From Sedimentsmentioning

confidence: 99%

“…Alternatively, it can be estimated by assuming that the lowest activity measured in the field represents 222 Rn supported wholly by diffusion from the sediments (Cook et al, 2008;Schmidt et al, 2010). Due to technical difficulties in removing sediments from the National Park/Ramsar site, we have used the latter approach.…”

Section: Diffusive 222 Rn Fluxes From Sedimentsmentioning

confidence: 99%

See 2 more Smart Citations

Groundwater discharge to wetlands driven by storm and flood events: Quantification using continuous Radon-222 and electrical conductivity measurements and dynamic mass-balance modelling

Gilfedder

Frei

Hofmann

et al. 2015

Geochimica et Cosmochimica Acta

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Section: Radon-222mentioning

confidence: 99%

Section: Diffusive 222 Rn Fluxes From Sedimentsmentioning

confidence: 99%

Section: Diffusive 222 Rn Fluxes From Sedimentsmentioning

confidence: 99%

See 1 more Smart Citation

Groundwater discharge to wetlands driven by storm and flood events: Quantification using continuous Radon-222 and electrical conductivity measurements and dynamic mass-balance modelling

Gilfedder

Frei

Hofmann

et al. 2015

Geochimica et Cosmochimica Acta

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“…However, due to the widespread, diffuse interface between lake water and aquifer, F diff was not estimated that way. An alternative approach discussed by Cook et al (2008) was chosen: F diff was determined by assuming that the lowest excess radon concentration detected in a lake represents the contribution of the radon inventory supported by diffusive radon input only. In areas where advective groundwater inflow could be verified by significantly higher excess radon concentrations, the influence of diffusive radon input was considered insignificant.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The contribution of groundwater discharge to the overall water budget of two typical Boreal lakes in Alberta/Canada estimated from a radon mass balance

Schmidt

Gibson

Santos

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Radon-222, a naturally-occurring radioisotope with a half-life of 3.8 days, was used to estimate groundwater discharge to small lakes in wetland-dominated basins in the vicinity of Fort McMurray, Canada. This region is under significant water development pressure including both oil sands mining and in situ extraction. Field investigations were carried out in March and July 2008 to measure radon-222 distributions in the water column of two lakes as a tracer of groundwater discharge. Radon concentrations in these lakes ranged from 0.5 to 72 Bq/m 3 , while radon concentrations in groundwaters ranged between 2000 and 8000 Bq/m 3 . A radon mass balance, used in comparison with stable isotope mass balance, suggested that the two lakes under investigation had quite different proportions of annual groundwater inflow (from 0.5% to about 14% of the total annual water inflow). Lower discharge rates were attributed to a larger drainage area/lake area ratio which promotes greater surface connectivity. Interannual variability in groundwater proportions is expected despite an implied seasonal constancy in groundwater discharge rates. Our results demonstrate that a combination of stable isotope and radon mass balance approaches provides information on flowpath partitioning that is useful for evaluating surface-groundwater connectivity and acid sensitivity of individual water bodies of interest in the Alberta Oil Sands Region.

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“…Baseflow can be inferred through field measurements of temperature, artificial and natural tracer concentrations, and flow in seepage meters installed in stream beds (Becker et al, 2004;Cook et al, 2003Cook et al, , 2008. However, for practical reasons, it is very difficult to apply these techniques over an entire catchment.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model

Partington

Brunner

Simmons

et al. 2012

Journal of Hydrology

Self Cite

137

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s u m m a r yBaseflow is often considered to be the groundwater discharge component of streamflow. It is commonly estimated using conceptual models, recursive filters or a combination of the two. However, it is difficult to validate these methods due to the current challenges of measuring baseflow in the field. In this study, simulation of a synthetic catchment's response to rainfall is carried out using a fully integrated surface water-groundwater flow model. A series of rainfall events with differing recovery periods and varied antecedent moisture conditions is considered to span a range of different streamflow generation dynamics. Baseflow is estimated for the outlet hydrograph of the synthetic catchment using a selection of commonly used automated baseflow separation methods. These estimates are compared to the baseflow signal obtained from the numerical model, which serves as the control experiment. Results from these comparisons show that depending on the method used, automated baseflow separation underestimates the simulated baseflow by as much as 28%, or overestimates it by up to 74%, during rainfall events. No separation method is found to be clearly superior to the others, as the performance of the various methods varies with different soil types, antecedent moisture conditions and rainfall events. The differences between the various approaches clearly demonstrate that the baseflow separation methods investigated are not universally applicable.

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Groundwater inflow to a shallow, poorly-mixed wetland estimated from a mass balance of radon

Cited by 93 publications

References 22 publications

Groundwater discharge to wetlands driven by storm and flood events: Quantification using continuous Radon-222 and electrical conductivity measurements and dynamic mass-balance modelling

Groundwater discharge to wetlands driven by storm and flood events: Quantification using continuous Radon-222 and electrical conductivity measurements and dynamic mass-balance modelling

The contribution of groundwater discharge to the overall water budget of two typical Boreal lakes in Alberta/Canada estimated from a radon mass balance

Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model

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