Seismic and Magnetic Constraints on the Structure of Upper Oceanic Crust at Fast and Slow Spreading Ridges

Abstract

This thesis examines the magnetic and seismic structure of the upper crust at two contrasting ridges to better understand the roles of volcanic, tectonic and hydrothermal processes in the near-ridge environment. A direct inversion technique is developed and applied to near-bottom magnetic data from the MAR. We conclude that volcanic emplacement is focused and propose a cyclic faulting model to explain the oscillatory cross-axis magnetization pattern. Seismic analyses of the magma sill along the EPR reveal it to be thin and partially molten, which has important implications for melt availability and transport. A genetic algorithm-based inversion is developed and applied to multichannel seismic data from the EPR and MAR to compare in detail their upper crustal velocity structure. While final extrusive thickness is comparable at all spreading ridges, the style of thickening may vary. Both ridges show evidence for a narrow zone of volcanic emplacement. Vigorous hydrothermalism at the EPR may rapidly increase basement velocities relative to the MAR. Rapid modification of the extrusive/dike transition at both ridges indicates that hydrothermalism is enhanced in this interval. Along-axis transport of lavas may thicken the extrusive pile at slow spreading segment ends.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA363592

Entities

People

  • Stefan A. Hussenoeder

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Elastic Properties
  • Geography
  • Geometry
  • Igneous Rocks
  • Magnetic Fields
  • Magnetic Properties
  • Measurement
  • Mechanical Properties
  • Oceanography
  • Operating Systems
  • Petrology
  • Ridges
  • Seabed
  • Three Dimensional
  • Topography
  • Two Dimensional
  • Waveforms

Readers

  • Coastal Oceanography
  • Seismology

Technology Areas

  • AI & ML
  • Biotechnology