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Moho density contrast in central Eurasia from GOCE gravity gradients
University West, Department of Engineering Science, Division of Computer, Electrical and Surveying Engineering.ORCID iD: 0000-0003-0067-8631
Wuhan University .
University of Tehran .
2016 (English)In: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 8, no 418, 1-18 p.Article in journal (Refereed) Published
Abstract [en]

Seismic data are primarily used in studies of the Earth's inner structure. Since large partsof the world are not yet sufficiently covered by seismic surveys, products from the Earth's satellite observation systems have more often been used for this purpose in recent years. In this study we use the gravity-gradient data derived from the Gravity field and steady-state Ocean Circulation Explorer (GOCE), the elevation data from the Shuttle Radar Topography Mission (SRTM) and other global datasets to determine the Moho density contrast at the study area which comprises most of the Eurasian plate (including parts of surrounding continental and oceanic tectonic plates). A regional Moho recovery is realized by solving the Vening Meinesz-Moritz's (VMM) inverse problem of isostasy and a seismic crustal model is applied to constrain the gravimetric solution. Our results reveal that the Moho density contrast reaches minima along the mid-oceanic rift zones and maxima under the continental crust. This spatial pattern closely agrees with that seen in the CRUST1.0 seismic crustal model as well as in the KTH1.0 gravimetric-seismic Moho model. However, these results differ considerably from some previously published gravimetric studies. In particular, we demonstrate thatt here is no significant spatial correlation between the Moho density contrast and Moho deepening under major orogens of Himalaya and Tibet. In fact, the Moho density contrast under most of the continental crustal structure is typically much more uniform.

Place, publisher, year, edition, pages
2016. Vol. 8, no 418, 1-18 p.
Keyword [en]
Density contrast; satellite gravity missions; Eurasia; Moho; terrain model; Tibet
National Category
URN: urn:nbn:se:hv:diva-9348DOI: 10.3390/rs8050418OAI: diva2:928059
Available from: 2016-05-14 Created: 2016-05-14 Last updated: 2016-05-30Bibliographically approved

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Eshagh, Mehdi
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