2007
DOI: 10.1007/s00254-007-0936-y
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Detection of free vertical convection and double-diffusion in groundwater monitoring wells with geophysical borehole measurements

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Cited by 31 publications
(38 citation statements)
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“…When the thermal conductivity of the fluid is much greater than the surrounding medium, this equation yields a critical Rayleigh number of 68, identical to the solutal convection case. For conditions more typical of the saturated zone, the critical Rayleigh number is approximately 149 (Berthold and Borner, 2008). Using the latter number to estimate when natural convection would dominate transport by diffusion in, again, a 5-cm diameter well, we see that a thermal gradient of 0.0035 K/m would be sufficient, which is approximately an order of magnitude lower than typical geothermal gradients.…”
Section: Numerical Modeling Methodsmentioning
confidence: 77%
See 1 more Smart Citation
“…When the thermal conductivity of the fluid is much greater than the surrounding medium, this equation yields a critical Rayleigh number of 68, identical to the solutal convection case. For conditions more typical of the saturated zone, the critical Rayleigh number is approximately 149 (Berthold and Borner, 2008). Using the latter number to estimate when natural convection would dominate transport by diffusion in, again, a 5-cm diameter well, we see that a thermal gradient of 0.0035 K/m would be sufficient, which is approximately an order of magnitude lower than typical geothermal gradients.…”
Section: Numerical Modeling Methodsmentioning
confidence: 77%
“…The thermal gradients that drive convection close to the critical Rayleigh number are also sufficiently small that the temperature variations that describe the convective movement are difficult to measure accurately. Recently, Berthold and Borner (2008) conducted transient 2D simulations of thermally convective Navier Stokes flow to compare with observations of laser sheet illuminated convection in a tube in the laboratory. Like the above simulations of mixed forced and free convection however, those simulations describe a 2D rectangular flow domain.…”
Section: Thermal Convection In a Wellmentioning
confidence: 99%
“…Results from earlier numerical modeling compare well with these experimental results. In numerical modeling, a mean velocity of 15 9 10 -5 m/s was found for a temperature gradient of 0.1 K/m (Berthold and Börner 2008), and the experimental investigations yielded a mean velocity of 9 9 10 -5 m/s. Both studies prove the existence of thermal convection for temperature gradients down to at least 0.07 K/m (numerical modeling) and 0.1 K/m (experimental investigations), respectively.…”
Section: Figmentioning
confidence: 96%
“…To derive the growth rates of the temperature and salinity interfaces, we consider the similarity solution of the heat equation for a fixed boundary concentration (Bergman et al, 2011):…”
Section: Analytical Validation Of a Stable Inflowmentioning
confidence: 99%
“…For example, double-diffusive processes like thermohaline staircasing have been successfully modelled in lakes (Schmid et al, 2003), although these systems are generally modelled with analytical or empirical formulations (Kelley et al, 2003;Schmid et al, 2004;Arnon et al, 2014). Other known numerical modelling studies consider double-diffusive convection in monitoring wells (Berthold and Börner, 2008) and the collection of thermal energy in solar ponds (Cathcart and Wheaton, 1987;Giestas et al, 2009;Suárez et al, 2010Suárez et al, , 2014. However, modelling these complex physical processes in shallow waters still imposes a major scientific and computational challenge (Dias and Lopes, 2006).…”
Section: Introductionmentioning
confidence: 99%