2020
DOI: 10.1007/s10040-020-02154-6
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Thermal reactivity at the stream–aquifer interface

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Cited by 4 publications
(4 citation statements)
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“…Temperature buffering observed in the hyporheos ( Fig 4 ) depends on the water exchanges between the stream and the aquifer through the streambed [ 31 37 ]. Streambed exchanges qualitatively differ between sites, with various buffering across them.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Temperature buffering observed in the hyporheos ( Fig 4 ) depends on the water exchanges between the stream and the aquifer through the streambed [ 31 37 ]. Streambed exchanges qualitatively differ between sites, with various buffering across them.…”
Section: Discussionmentioning
confidence: 99%
“…Streambed exchanges qualitatively differ between sites, with various buffering across them. These differences along the Soultzbach stream are probably due to contrasting hydrodynamic and thermal properties of the encountered substrates [ 37 ]. More advanced modeling with an appropriate model [ 16 , 38 ] (DOI: 10.5281/zenodo.4058821 ) needs to be carried out to decipher these complex thermal exchanges.…”
Section: Discussionmentioning
confidence: 99%
“…It is enabled by the relative stability of groundwater temperatures, whereas stream temperatures exhibit strong diurnal and annual cycles. The propagation of daily river temperature signals in the hyporheic is particularly sensitive to flow variations because thermal properties are much less variable than hydraulic properties: thermal conductivity ranges between 1.5 and 6 W m −1 • C −1 for unconsolidated water saturated porous materials while hydraulic conductivity can vary over 6 orders of magnitude (e.g., Lapham, 1989;Constantz et al, 2002;Rivière et al, 2020). Various analytical and numerical methods based on the heat transfer equation have emerged (e.g., Stallman, 1965;Hatch et al, 2006;Rau et al, 2014;Irvine et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Section 2 introduces an application of the Bayesian framework for estimating statistical distributions of HZ hydrogeological and thermal properties from LOMOS-mini measurements. In line with Rivière et al (2020), section 3 applies the framework on a synthetic case study, investigating parameter identifiability for various hydrological and thermal forcings (exfiltration/infiltration, advective/conductive), as well as for a range of lithofacies. Section 4 applies the framework to in situ measurements collected in the Avenelles basin, France.…”
Section: Introductionmentioning
confidence: 99%