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  • PANGAEA  (6)
  • Blackwell Publishing Ltd  (1)
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Years
  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 112 (1993), S. 0 
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: The thermal response of a marine heat flow probe has been modelled in detail by a semi-analytic solution for a 1-D multi-layered cylinder. the simulation was done for the probe used for measurements reported by Lister et al. (1990). These measurements were reduced by the conventional method of subtracting a time delay to maximize the linearity of temperature plotted against Bullard's (1954) F(α, τ) function. the frictional heating from entry into the sea-floor could be extrapolated to equilibrium by the use of small, but rather variable, time delay. However, the decays from a calibrated heat pulse, used to calculate thermal conductivity, required large time delays that increased up the probe. We have found that the heater-pulse decays are correctly reproduced by a multi-cylindrical model corresponding to the measured dimensions and materials of probe construction, except for some super heating at early times due to the non-cylindrical nature of the heater spiral. the increase in delay up the probe is modelled well by the increasing thermal resistance of incomplete oil fill between probe contents and metal probe, and not by any plausible disturbed sediment layer outside that tube. On the other hand, the only way to reduce the fitted time delays for the heat of probe entry was to inject that heat into a sheared layer of sediment around the probe about 1 mm thick.The extrapolations of dissipating frictional heat were all accurate to within 1 millikelvin; the poor fits at the top of the probe coincide with very little frictional heating, and so the errors remain small. the situation regarding conductivities is more complex, with the best fits by the delay-time method deviating by between -1 percent and +1.5 per cent, depending on details of the model and the time interval of synthetic data used for the reduction. This appears to be the limit of reliability for this method of reduction for a probe of conventional construction and the usual time range of data. Using data from large time is theoretically advantageous, but in reality would lose accuracy due to the limited remaining rise from a heat pulse of practical size, and to the onset of mechanical disturbance to the instrument on the sea-floor. Only a substantial shortening of the response time of probe temperature sensors to changes in the outer metal tube could improve the accuracy of conductivity measurement beyond this level.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 149 data points
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  • 3
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; 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, 693 data points
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  • 4
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; 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, 398 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 390 data points
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  • 6
    Publication Date: 2023-12-07
    Keywords: Area/locality; Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of temperature data; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 283 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Nagihara, Seiichi; Wang, Kelin (2000): Geothermal regime of the western margin of the Great Bahama Bank. In: Swart, PK; Eberli, GP; Malone, MJ; Sarg, JF (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 166, 1-8, https://doi.org/10.2973/odp.proc.sr.166.123.2000
    Publication Date: 2024-02-03
    Description: The geothermal regime of the western margin of the Great Bahama Bank was examined using the bottom hole temperature and thermal conductivity measurements obtained during and after Ocean Drilling Program (ODP) Leg 166. This study focuses on the data from the drilling transect of Sites 1003 through 1007. These data reveal two important observational characteristics. First, temperature vs. cumulative thermal resistance profiles from all the drill sites show significant curvature in the depth range of 40 to 100 mbsf. They tend to be of concave-upward shape. Second, the conductive background heat-flow values for these five drill sites, determined from deep, linear parts of the geothermal profiles, show a systematic variation along the drilling transect. Heat flow is 43-45 mW/m**2 on the seafloor away from the bank and decreases upslope to ~35 mW/m**2. We examine three mechanisms as potential causes for the curved geothermal profiles. They are: (1) a recent increase in sedimentation rate, (2) influx of seawater into shallow sediments, and (3) temporal fluctuation of the bottom water temperature (BWT). Our analysis shows that the first mechanism is negligible. The second mechanism may explain the data from Sites 1004 and 1005. The temperature profile of Site 1006 is most easily explained by the third mechanism. We reconstruct the history of BWT at this site by solving the inverse heat conduction problem. The inversion result indicates gradual warming throughout this century by ~1°C and is agreeable to other hydrographic and climatic data from the western subtropic Atlantic. However, data from Sites 1003 and 1007 do not seem to show such trends. Therefore, none of the three mechanisms tested here explain the observations from all the drill sites. As for the lateral variation of the background heat flow along the drill transect, we believe that much of it is caused by the thermal effect of the topographic variation. We model this effect by obtaining a two-dimensional analytical solution. The model suggests that the background heat flow of this area is ~43 mW/m**2, a value similar to the background heat flow determined for the Gulf of Mexico in the opposite side of the Florida carbonate platform.
    Keywords: 166-1003C; 166-1005C; 166-1007C; Conductivity, thermal; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; Joides Resolution; Latitude of event; Leg166; Longitude of event; Ocean Drilling Program; ODP; Sample code/label; South Atlantic Ocean; Thermal conductivity meter
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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