A regionalized upper mantle (RUM) seismic model

Malcolm Sambridge

Recearch School of Earth Sciences
Australian National University
Canberra ACT 0200
AUSTRALIA
phone: (619) 534-7109. FAX: (619) 534-9873

poster/oral: web page

Olafur Gudmundsson and Malcolm Sambridge

Seismic velocity heterogeneity in the Earth's mantle is strongly concentrated near its top. The shallow heterogeneity of the mantlecorrelates strongly with surface tectonics. We use these observations as constraints of a tomographic experiment aimed at building a regionalized upper mantle (RUM) reference model. We use a select set of teleseismic travel times to minimize the mapping of mislocation into structure. The data selection emphasizes the robustness of individual picks. The form of the RUM model is a set of velocity profiles as functions of depth through the upper mantle for each of the different tectonic provinces of Earth. Together the profiles constitute a three-dimensional model which incorporates considerable structural detail but is described by only 90 parameters and has only about 22 degrees of freeedom. This is achieved by irregularly sampling a detailed regionalization of the globe, by detailed mapping of subducted lithopshere in the mantle as defined by seismicity, and by combining these structures in an irregular grid in which bookkeeping is efficiently handled. The resulting RUM model includes subducting slabs as sharp fast features in the upper mantle. Old continents are fast; young oceans are slow. Models have been derived for both compressional and shear velocity. The RUM model is designed to represent as much of upper mantle heterogeneity as seen by body wave travel times as possible with a simple model. It can be useful as a reference model for individual tectonic regions. Travel times are efficiently generated for the RUM model. Mislocations of explosions of know location are significantly reduced when corrections for the RUM model are applied to travel time residuals for a spherically symmetrix Earth model.

RUM web site


Malcolm Sambridge ( malcolm@rses.anu.edu.au)

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