Temporal and spatial variability of groundwater–surface water fluxes: Development and application of an analytical method using temperature time series

Keery, John; Binley, Andrew; Crook, N.; Smith, Jonathan W. N.

doi:10.1016/j.jhydrol.2006.12.003

Cited by 507 publications

(518 citation statements)

References 49 publications

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“…The bottom and top boundaries are constant head boundaries, left and right boundaries are no-flow boundaries, leading to vertical flow through the system. Although the assumption of vertical groundwater discharge seems rigid for complex stream-aquifer systems it is commonly made for the interpretation of groundwater fluxes through the streambed (e.g., Cardenas and Wilson, 2007;Keery et al, 2007). The constant head values were chosen such that for each simulation the mean groundwater flux through the model equalled the mean flux through the streambed calculated from the observed temperature profiles (q z mean=58.2 L m −2 d −1 ).…”

Section: Model Set-upmentioning

confidence: 99%

Influence of aquifer and streambed heterogeneity on the distribution of groundwater discharge

Kalbus

Schmidt

Molson

et al. 2009

Hydrol. Earth Syst. Sci.

121

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Abstract. The spatial distribution of groundwater fluxes through a streambed can be highly variable, most often resulting from a heterogeneous distribution of aquifer and streambed permeabilities along the flow pathways. Using a groundwater flow and heat transport model, we defined four scenarios of aquifer and streambed permeability distributions to simulate and assess the impact of subsurface heterogeneity on the distribution of groundwater fluxes through the streambed: (a) a homogeneous low-K streambed within a heterogeneous aquifer; (b) a heterogeneous streambed within a homogeneous aquifer; (c) a well connected heterogeneous low-K streambed within a heterogeneous aquifer; and (d) a poorly connected heterogeneous low-K streambed within a heterogeneous aquifer. The simulation results were compared with a base case scenario, in which the streambed had the same properties as the aquifer, and with observed data. The results indicated that the aquifer has a stronger influence on the distribution of groundwater fluxes through the streambed than the streambed itself. However, a homogeneous low-K streambed, a case often implemented in regional-scale groundwater flow models, resulted in a strong homogenization of fluxes, which may have important implications for the estimation of peak mass flows. The flux distributions simulated with heterogeneous low-K streambeds were similar to the flux distributions of the base case sceCorrespondence to: E. Kalbus (edda.kalbus@web.de) nario, despite the lower permeability. The representation of heterogeneous distributions of aquifer and streambed properties in the model has been proven to be beneficial for the accuracy of flow simulations.

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Section: Model Set-upmentioning

confidence: 99%

Influence of aquifer and streambed heterogeneity on the distribution of groundwater discharge

Kalbus

Schmidt

Molson

et al. 2009

Hydrol. Earth Syst. Sci.

121

View full text Add to dashboard Cite

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“…We combined our temperature time-series data with an analytical solution to quantify baseflow velocities at each of the measurement sites (Hatch et al, 2006). Streambed temperatures and their lagged thermal response to surface conditions can be used to calculate groundwater velocities in both gaining and losing streams as long as the vertical separation is known (Hatch et al, 2006; see also Keery et al, 2007, for further discussion of a similar method). Daily velocities may be calculated for a given time series of streambed temperatures using either (1) the ratio of decreasing amplitude in the daily streambed temperature sig-nal with depth or (2) the phase shift in the timing of the peak measured temperature with depth.…”

Section: Stream Discharge and Temperature Datamentioning

confidence: 99%

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Anderson

Thaxton

et al. 2010

Journal of Hydrology

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Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream A B S T R A C TBoone Creek is a mountainous headwater stream that lies within an urbanized environment in north-western North Carolina. The primary source of thermal pollution in Boone Creek is the urban infrastruc-ture, which affects stream temperatures through (1) heated runoff, which creates temperature surges and (2) the elimination of groundwater-surface water interactions. In this study, we use a Monte Carlo ther-mal mixing model to predict the thermal impact of removing a 700-m-long culvert. Our thermal mixing model balances stream discharge and temperatures with surface-heat exchange parameters and restored baseflow. We calculate the daily-average groundwater discharge velocity at 15 locations in the stream using signal decay in streambed temperatures, and utilize a Monte Carlo implementation of the hetero-geneous baseflow field in the thermal mixing model. We also calculate surface-heat exchange per unit area for conditions upstream and downstream of the existing culvert and utilize those values in the ther-mal mixing model. Our modeled temperatures suggest a decrease in summer stream temperatures down-stream of the culvert that average 1.35 ° C and 1.17 ° C for upstream and downstream surface-heat exchange conditions, respectively. The results of our study have implications for the balance between baseflow and the urban infrastructure in any high-gradient urban stream that experiences similar ther-mal effects.

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“…To address the erroneous temporal spreading of advective velocities and significant anomalies induced by signal-processes techniques, such as Fourier transform and Dynamic Harmonic Regression (Hatch et al, 2006;Keery et al, 2007), our computer program directly extracted sinusoidal temperature signals from noisy raw temperature records without filtering. As a result of 15 the decline of energy with depth, some low energy oscillations became linear (i.e.…”

Section: Uncertaintiesmentioning

confidence: 99%

“…Because of conduction and convection, heat is a naturally occurring tracer in stream systems, with daily temperature fluctuations within a SW body leading to temperature responses in the sediments at the SW-GW interface (Constantz, 2008). By measuring streambed temperatures in an environment with significant differences in groundwater and surface water temperatures, the propagation of a heat signal by conduction and convection heat fluxes can be 25 used as a proxy to indicate exchange flow directions or to quantify exchange fluxes (Hatch et al, 2006;Keery et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Estimating interaction between surface water and groundwater in a permafrost region using heat tracing methods

Gao

Liu

Zhang

et al. 2017

Preprint

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Abstract. Understanding the interactions between groundwater and surface water in permafrost regions is essential to the understanding of flood frequencies and river water quality of high latitude/altitude basins. The application of heat tracing methods, based on oscillating streambed temperature signals, is a promising geophysical method for identifying and quantifying the groundwater and surface water interactions. Analytical analysis based on one-dimensional convectiveconductive heat transport equation combined with the fiber-optic distributed temperature sensing measurements were applied 20 on a streambed of a mountainous permafrost region in the Yeniugou basin of northern Tibetan Plateau. The results indicated that low connectivity between the stream and groundwater in permafrost and active layer. The interaction between surface water and groundwater increased with thawing of the active layer. This study demonstrates that heat tracing method can be applied to study surface water-groundwater interactions over temporal and spatial scales in permafrost regions. 25The Cryosphere Discuss., https://doi

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Temporal and spatial variability of groundwater–surface water fluxes: Development and application of an analytical method using temperature time series

Cited by 507 publications

References 49 publications

Influence of aquifer and streambed heterogeneity on the distribution of groundwater discharge

Influence of aquifer and streambed heterogeneity on the distribution of groundwater discharge

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Estimating interaction between surface water and groundwater in a permafrost region using heat tracing methods

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