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  • 1
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 2
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; Heat flow; Heat production, average; LATITUDE; LONGITUDE; Method comment; Number of conductivity measurements; Number of heat production measurements; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 3
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 4
    Publication Date: 2023-05-12
    Keywords: Area/locality; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 183 data points
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  • 5
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    PANGAEA
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: Area/locality; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 7
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 185 (1960), S. 677-678 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The following expressions for density pr versus radius r in the Earth have been obtained by fitting linear density distributions of the form: pr = p0 (1 ? AT) to each section of Bullen's3 model B of the Earth: Pr = 17-900(1-1-29162 x 10~V) pr = 42-078(1-5-14625 x IQ~\) pr = 13-403 (1-7-53631 x ...
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 201 (1964), S. 383-383 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The thermal conductivities of the rocks were determined from in situ measurements at 8 points along the hole from 100 ft. through 1,200 ft. Since details of the technique and methods used to reduce the data and check the accuracy of the results will be published elsewhere, only a brief description ...
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 107 (1991), S. 0 
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: bIn this paper, we apply the boundary element method (BEM) to the 2-D steady state heat flow problem of what would be the perturbation to the regional temperature gradient, and hence heat flow density, determined from temperatures measured in a borehole that passes close to, but does not penetrate, a body of anomalous thermal properties. This type of problem with an infinity boundary is particularly well suited to the BEM.The results have been compared with those obtained from analytical solutions for bodies of simple shape; it is found that for the worst case of a close approach to a boundary of small radius of curvature, a numerical modelling error of less than 1 per cent can still be obtained provided the length of each element is less than the shortest distance between the calculation point and the object.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 98 (1989), S. 0 
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Heat transport by large-scale groundwater movement, reported for a number of sedimentary basins, may cause sufficiently severe perturbations to the thermal regime that the patterns of near surface heat-flow density (HFD) may be very different from that of the desired deep-seated conductive HFD. However, a good interpretation of the HFD data from perturbed areas is possible when knowledge of both the thermal and hydrological regimes is available, but there are three major difficulties. First, the thermal and hydrological data are often noisy; second, the two regimes are closely coupled; third, the deep-seated, or basal HFD is a very uncertain boundary condition. In this paper, we present a method, currently in 2-D, that inverts the noisy thermal and hydrological data simultaneously, and is able to resolve uncertain boundary conditions. The temperature and hydraulic head and the thermal conductivities and intrinsic permeabilities of the subsurface materials are first parameterized with an isoparametric finite element model. The parameters are then estimated using a Bayesian type non-linear inverse method. In the finite element formulation, the boundary heat and water fluxes are linearly transformed into an equivalent nodal flow (ENF) vector, which is updated together with the estimated parameters. Another (linear) inversion of the updated ENF components gives the updated boundary fluxes, with variances. The applications of the boundary flux updating technique to the determination of the background HFD in hydrologically active areas are illustrated with numerical examples.
    Type of Medium: Electronic Resource
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