2010
DOI: 10.1007/s10040-010-0586-0
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Analytical methods that use natural heat as a tracer to quantify surface water–groundwater exchange, evaluated using field temperature records

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Cited by 126 publications
(157 citation statements)
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“…reaches (Anderson, 2005;Andersen and Acworth, 2009;Anibas et al, 2011;Rau et al, 2010;Silliman and Booth, 1993). While quantification of water fluxes using temperature requires detailed subsurface temperature measurements over time, temperature mapping of rivers is a simple and effective method of identifying gaining and losing reaches (Becker et al, 2004).…”
Section: N P Unland Et Al: Investigating the Spatio-temporal Variamentioning
confidence: 99%
“…reaches (Anderson, 2005;Andersen and Acworth, 2009;Anibas et al, 2011;Rau et al, 2010;Silliman and Booth, 1993). While quantification of water fluxes using temperature requires detailed subsurface temperature measurements over time, temperature mapping of rivers is a simple and effective method of identifying gaining and losing reaches (Becker et al, 2004).…”
Section: N P Unland Et Al: Investigating the Spatio-temporal Variamentioning
confidence: 99%
“…CC BY 4.0 License. independent of sediment texture and location (Rau et al, 2010). It is difficult to estimate accurate physical and thermal parameters, particularly in the roughness river course of the permafrost region, leading many heat tracing studies to use reference values obtained in the laboratory.…”
Section: Limitationsmentioning
confidence: 99%
“…In addition, uncertainty in thermal diffusivity, sensor spacing, and the accuracy of temperature sensors can cause erroneous predictions of seepage velocities, especially for gaining conditions and low flow velocities (Shanafield et al, 2011). Rau et al (2010) tested the advantages, limitations and applicability of the methods of Hatch et al (2006) and Stallman (1965). They hypothesized that analyzing temperature profiles and time series caused by multi-dimensional flow using 1-D solutions may result in inaccurate estimates and that the conditions of a representative elementary volume (REV) needed in the analysis may not be satisfied at the scale of investigation.…”
Section: T Vogt Et Al: Investigating Riparian Groundwater Flow Closmentioning
confidence: 99%