Characterizing groundwater–lake interactions and its impact on lake water quality

Shaw, Glenn D.; White, Elizabeth S.; Gammons, Christopher H.

doi:10.1016/j.jhydrol.2013.04.018

Cited by 63 publications

(59 citation statements)

References 27 publications

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“…The measurement of radon activities can also help to identify groundwater inflows (Kluge et al, 2012;Ono et al, 2012;Shaw et al, 2013). Existing lake studies have investigated LGD patterns with either a high spatial resolution (1-2 m 2 ) but a local focus (10 m × 17 m-25 m × 6 m) (Kishel and Gerla, 2002;Blume et al;Sebok et al, 2013) or focused on the entire lake but used a relatively low spatial resolution (measurements along the shoreline every 200-3000 m) (Schneider et al, 2005;Shaw et al, 2013). However, the experimental effort required rarely allows their extension to cover the lateral, alongshore dimension in sufficient extent and detail to identify the spatial variability and patterns of LGD along the shoreline.…”

Section: Spatial Patterns Of Lacustrine Groundwater Discharge and Thementioning

confidence: 99%

“…Measuring VTPs with a high measurement resolution along large parts of the shoreline highlighted furthermore that the strength of small-scale variability also varies along the shoreline. This type of information is likely to be overlooked in studies focusing either on entire lake systems but using a low spatial resolution (Schneider et al, 2005;Shaw et al, 2013) or using a high spatial resolution but only on a very local scale (Kishel and Gerla, 2002;Blume et al;Sebok et al, 2013). The repetitions of VTP measurements revealed that the observed patterns were stable in time and are thus likely controlled by static characteristics.…”

Section: Small-scale Patternsmentioning

confidence: 99%

“…Consequently, radon activities in surface water are low. Due to the pronounced differences between groundwater and surface water concentrations, elevated radon activities can be used as an indicator for groundwater inflows as shown, for example, by Kluge et al (2012), Ono et al (2012) and Shaw et al (2013).…”

Section: A1 Backgroundmentioning

confidence: 99%

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Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Tecklenburg

Blume

2017

Hydrol. Earth Syst. Sci.

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Abstract. Lacustrine groundwater discharge (LGD) can significantly affect lake water balances and lake water quality. However, quantifying LGD and its spatial patterns is challenging because of the large spatial extent of the aquiferlake interface and pronounced spatial variability. This is the first experimental study to specifically study these largerscale patterns with sufficient spatial resolution to systematically investigate how landscape and local characteristics affect the spatial variability in LGD. We measured vertical temperature profiles around a 0.49 km 2 lake in northeastern Germany with a needle thermistor, which has the advantage of allowing for rapid (manual) measurements and thus, when used in a survey, high spatial coverage and resolution. Groundwater inflow rates were then estimated using the heat transport equation. These near-shore temperature profiles were complemented with sediment temperature measurements with a fibre-optic cable along six transects from shoreline to shoreline and radon measurements of lake water samples to qualitatively identify LGD patterns in the offshore part of the lake. As the hydrogeology of the catchment is sufficiently homogeneous (sandy sediments of a glacial outwash plain; no bedrock control) to avoid patterns being dominated by geological discontinuities, we were able to test the common assumptions that spatial patterns of LGD are mainly controlled by sediment characteristics and the groundwater flow field. We also tested the assumption that topographic gradients can be used as a proxy for gradients of the groundwater flow field. Thanks to the extensive data set, these tests could be carried out in a nested design, considering both small-and large-scale variability in LGD. We found that LGD was concentrated in the near-shore area, but alongshore variability was high, with specific regions of higher rates and higher spatial variability. Median inflow rates were 44 L m −2 d −1 with maximum rates in certain locations going up to 169 L m −2 d −1 . Offshore LGD was negligible except for two local hotspots on steep steps in the lake bed topography. Large-scale groundwater inflow patterns were correlated with topography and the groundwater flow field, whereas small-scale patterns correlated with grain size distributions of the lake sediment. These findings confirm results and assumptions of theoretical and modelling studies more systematically than was previously possible with coarser sampling designs. However, we also found that a significant fraction of the variance in LGD could not be explained by these controls alone and that additional processes need to be considered. While regression models using these controls as explanatory variables had limited power to predict LGD rates, the results nevertheless encourage the use of topographic indices and sediment heterogeneity as an aid for targeted campaigns in future studies of groundwater discharge to lakes.

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Section: Spatial Patterns Of Lacustrine Groundwater Discharge and Thementioning

confidence: 99%

Section: Small-scale Patternsmentioning

confidence: 99%

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Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Tecklenburg

Blume

2017

Hydrol. Earth Syst. Sci.

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“…Interactions between lake and groundwater systems have become major concerns during recent decades [2][3][4][5], since they may exert an important control on lake ecology [6,7] and on the nearshore water quality [8] in multiple ways. An understanding of the distribution and rate of seepage to and from lakes is therefore needed for environmental management and the restoration of lake ecosystems [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Simulating the Effects of Lake Wind Waves on Water and Solute Exchange across the Lakeshore Using Hydrus-2D

Šimůnek

Wang

et al. 2017

Water

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Abstract:Wind waves, which frequently occur on large surface water bodies such as lakes, may temporarily alter flow patterns in a subsurface zone and the corresponding water and nutrient interactions between surface waters and shallow groundwaters. To better understand these processes, soil flume experiments were carried out to investigate wind wave-driven water and chloride interactions across the lake-groundwater interface, and the Hydrus-2D model was used to analyze and evaluate the observed experimental results. Two interaction cases between the lake and groundwater systems were considered: groundwater discharging into a lake (the GDL case), and lake water recharging groundwater (the LRG case). For comparison, no-wave conditions for both the GDL and LRG cases were also analyzed. The results revealed that, similarly to no-wave conditions, water and chloride exchange fluxes between the lake and groundwater systems under wave conditions occurred mainly within narrow bands near the intersection of the water level in the lake and the interface in both the GDL and LRG cases, and then exponentially decreased along the interface. Most water and chloride that infiltrated into the subsurface zone through the upper part of the interface during a wave crest returned to the lake through the lower part during a wave trough in both the GDL and LRG cases, creating local recirculation zones in the subsurface near the interface. Such recirculation produced a more frequent exchange of water and solute across the interface compared with those under no-wave conditions. During a one-day period after wind waves started, the total exchange fluxes of water and chloride to the lake decreased by 36.2% and 71.9%, respectively, compared to the no-wave conditions in the GDL case. In the LRG case, the total exchange water fluxes to the subsurface increased by 89.7%, while the total exchange chloride fluxes increased only slightly (4.5%) compared to the no-wave conditions due to the difference in chloride concentrations between the upper and lower parts of the interface. The sensitivity analysis revealed that the hydraulic conductivity of the lakeshore zone and the characteristics of the waves were important factors influencing water and chloride exchange between the lake and groundwater systems. The simulated results helped us to better understand water and solute interactions in the lake-groundwater system during windy periods.

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“…Methods such as seepage meters (Ala-aho et al, 2013;Rosenberry et al, 2008Rosenberry et al, , 2013, environmental tracers (e.g. Dinçer, 1968;Shaw et al, 2013;Stets et al, 2010;Yehdegho et al, 1997;Zuber, 1983) and numerical modelling (e.g. Krabbenhoft et al, 1990;Stichler et al, 2008;Winter and Carr, 1980) can be used to determine the groundwater reliance of lakes.…”

Section: Introductionmentioning

confidence: 99%

Quantifying groundwater dependence of a sub-polar lake cluster in Finland using an isotope mass balance approach

Isokangas

Różański

Rossi

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract.A stable isotope study of 67 kettle lakes and ponds situated on an esker aquifer (90 km 2 ) in northern Finland was carried out to determine the role and extent of groundwater inflow in groundwater-dependent lakes. Distinct seasonal fluctuations in the δ 18 O and δ 2 H values of lakes are the result of seasonal ice cover prohibiting evaporation during the winter. An iterative isotope mass balance approach was used to calculate the inflow-to-evaporation ratios (I TOT /E) of all 67 lakes during the summer of 2013 when the isotopic compositions of the lakes were approaching a steady-state. The balance calculations were carried out independently for 2 H and 18 O data. Since evaporation rates were derived independently of any mass balance considerations, it was possible to determine the total inflow (I TOT ) and mean turnover time (MTT) of the lakes. Furthermore, the groundwater seepage rates to all studied lakes were calculated. A quantitative measure was introduced for the dependence of a lake on groundwater (G index) that is defined as the percentage contribution of groundwater inflow to the total inflow of water to the given lake. The G index values of the lakes studied ranged from ca. 39 to 98 %, revealing generally large groundwater dependency among the studied lakes. This study shows the effectiveness of applying an isotope mass balance approach to quantify the groundwater reliance of lakes situated in a relatively small area with similar climatic conditions.

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Characterizing groundwater–lake interactions and its impact on lake water quality

Cited by 63 publications

References 27 publications

Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Simulating the Effects of Lake Wind Waves on Water and Solute Exchange across the Lakeshore Using Hydrus-2D

Quantifying groundwater dependence of a sub-polar lake cluster in Finland using an isotope mass balance approach

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