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Combined Gravimetric-Seismic Moho Model of Tibet
Russian Acad Sci, Schmidt Inst Phys Earth, Moscow 119991, Russia.;Russian Acad Sci, Inst Earthquake Predict Theory & Math Geophys, Moscow 119991, Russia..
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Geodesy and Satellite Positioning.
Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China..
2018 (English)In: GEOSCIENCES, ISSN 2076-3263, Vol. 8, no 12, article id UNSP 461Article in journal (Refereed) Published
Abstract [en]

Substantial progress has been achieved over the last four decades to better understand a deep structure in the Himalayas and Tibet. Nevertheless, the remoteness of this part of the world still considerably limits the use of seismic data. A possible way to overcome this practical restriction partially is to use products from the Earth's satellite observation systems. Global topographic data are provided by the Shuttle Radar Topography Mission (SRTM). Global gravitational models have been derived from observables delivered by the gravity-dedicated satellite missions, such as the Gravity Recovery and Climate Experiment (GRACE) and the Gravity field and steady-state Ocean Circulation Explorer (GOCE). Optimally, the topographic and gravity data should be combined with available results from tomographic surveys to interpret the lithospheric structure, including also a Moho relief. In this study, we use seismic, gravity, and topographic data to estimate the Moho depth under orogenic structures of the Himalayas and Tibet. The combined Moho model is computed based on solving the Vening Meinesz-Moritz (VMM) inverse problem of isostasy, while incorporating seismic data to constrain the gravimetric solution. The result of the combined gravimetric-seismic data analysis exhibits an anticipated more detailed structure of the Moho geometry when compared to the solution obtained merely from seismic data. This is especially evident over regions with sparse seismic data coverage. The newly-determined combined Moho model of Tibet shows a typical contrast between a thick crustal structure of orogenic formations compared to a thinner crust of continental basins. The Moho depth under most of the Himalayas and the Tibetan Plateau is typically within 60-70 km. The maximum Moho deepening of similar to 76 km occurs to the south of the Bangong-Nujiang suture under the Lhasa terrane. Local maxima of the Moho depth to similar to 74 km are also found beneath Taksha at the Karakoram fault. This Moho pattern generally agrees with the findings from existing gravimetric and seismic studies, but some inconsistencies are also identified and discussed in this study.

Place, publisher, year, edition, pages
MDPI , 2018. Vol. 8, no 12, article id UNSP 461
Keywords [en]
Moho, satellite gravity missions, seismic data, terrain model, Tibet, WEY JF, 1989, ECLOGAE GEOLOGICAE HELVETIAE, V82, P717 ang ZJ, 2002, SCIENCE IN CHINA SERIES D-EARTH SCIENCES, V45, P550 o Zhanyong, 2018, GEODESY AND GEODYNAMICS, V9, P334 porali A, 2000, JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, V105, P3103 rodov Davlatkhudzha, 2018, GEOPHYSICAL JOURNAL INTERNATIONAL, V214, P895 ang Zhongjie, 2010, EARTH AND PLANETARY SCIENCE LETTERS, V292, P254 ranov Alexey, 2018, SURVEYS IN GEOPHYSICS, V39, P23 a ShiXu, 2010, SCIENCE CHINA-EARTH SCIENCES, V53, P203 Chuang, 2017, JOURNAL OF ASIAN EARTH SCIENCES, V138, P378 tra S., 2008, BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, V98, P2715 nzer Robert, 2016, JOURNAL OF EARTH SCIENCE, V27, P1045 nzer Robert, 2015, EARTH SCIENCES RESEARCH JOURNAL, V19, P97 in Young Hong, 2015, SCIENTIFIC REPORTS, V5, rt Christian, 2015, INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, V39, P103
National Category
Geophysics
Identifiers
URN: urn:nbn:se:kth:diva-242257DOI: 10.3390/geosciences8120461ISI: 000455388200034OAI: oai:DiVA.org:kth-242257DiVA, id: diva2:1284615
Note

QC 20190201

Available from: 2019-02-01 Created: 2019-02-01 Last updated: 2019-06-07Bibliographically approved

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Bagherbandi, Mohammad

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