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  • OceanRep  (2)
  • 1
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    AGU (American Geophysical Union)
    In:  Geochemistry, Geophysics, Geosystems, 13 . Q05002.
    Publication Date: 2019-09-23
    Description: We present quantitative modeling results for the effects of surface relief on hydrothermal convection at ocean-spreading centers investigating how vent site locations and subsurface flow patterns are affected by bathymetry induced sub-seafloor pressure variations. The model is based on a 2-D FEM solver for fluid flow in porous media and is used to simulate hydrothermal convection systematically in 375 synthetic studies. The results of these studies show that bathymetric relief has a profound effect on hydrothermal flow: bathymetric highs induce subsurface pressure variations that can deviate upwelling zones and favor venting at structural highs. The deviation angle from vertical upwelling can be expressed by a single linear dependence relating deviation angle to bathymetric slope and depth of the heat source. These findings are confirmed in two case studies for the East Pacific Rise at 9°30′N and Lucky Strike hydrothermal fields. In both cases, it is possible to predict the observed vent field locations only if bathymetry is taken into account. Our results thereby show that bathymetric relief should be considered in simulations of submarine hydrothermal systems and plays a key role especially in focusing venting of across axis hydrothermal flow onto the ridge axis of fast spreading ridges.
    Type: Article , PeerReviewed
    Format: text
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  • 2
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    Unknown
    In:  [Talk] In: AGU Fall Meeting 2010, 15.12.2010, San Francisco, California, USA .
    Publication Date: 2012-02-23
    Description: OS34A-05: Hydrothermal convection is an important process that occurs in the oceanic lithosphere as well as within continents where the geothermal gradient is high enough to drive fluid flow. This process efficiently mines heat from the lithosphere, sustains life in the otherwise bleak settings at oceanic depths and is associated with mineral deposits. Although recent focus on hydrothermal systems has greatly improved our understanding on how they work, the detailed effects of topography on these systems has largely been ignored. While the qualitative effects of topography on hydrothermal flow are largely known (e.g. Ingebritsen 2006), we here present results from systematic numerical modeling on the importance of topography for both, subaerial and submarine hydrothermal convection. The model is based on a 2-D Finite Element Method (FEM) solver for fully compressible, single-phase, porous media fluid flow and is used to simulate hydrothermal convection in a number of synthetic studies as well as for two case studies for the Lucky Strike vent field (submarine) and the Amiata volcano (subaerial). The results of synthetic studies using sinusoidal topography variations show that topography indeed has a profound effect on the distribution and flow field of the convection cells. In the submarine case, fluid venting occurs at the topographic highs while the recharge zones are restricted to the lows. For the subaerial scenarios, the opposite occurs where groundwater flow focuses venting at flank regions and the recharge zones are situated at the highs. For example, in the submarine case, ~90% of the hydrothermal fluids vent at upper 50% of topographic highs if the number of topographic highs equals the number of plumes in a flat-top reference simulation. The results show that the focusing effect into topographic highs (submarine) and lows (subaerial) is highly dependent on the wavelength and amplitude of topography, i.e. wavelengths that are too high or low result in venting at flanks or even topographic lows (submarine case). Amplitude also has a first-order effect of focusing the vent sites on topographic highs and lows. Another observation is that the wavelength of the topography affects the number of plumes generated in the model. These findings are confirmed in two case studies for the submarine Lucky Strike hydrothermal field on the Mid-Atlantic Ridge and the subaerial geothermal field of Amiata, Italy. In both case studies the predicted vent locations fit well with the observed ones.
    Type: Conference or Workshop Item , NonPeerReviewed
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