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dc.contributor.authorDaout, S.en_US
dc.contributor.authorJolivet, R.en_US
dc.contributor.authorLasserre, C.en_US
dc.contributor.authorDoin, M.-P.en_US
dc.contributor.authorBarbot, Sylvainen_US
dc.contributor.authorTapponnier, Paulen_US
dc.contributor.authorPeltzer, G.en_US
dc.contributor.authorSocquet, A.en_US
dc.contributor.authorSun, J.en_US
dc.identifier.citationDaout, S., Jolivet, R., Lasserre, C., Doin, M.-P., Barbot, S., Tapponnier, P., . . . Sun, J. (2016). Along-strike variations of the partitioning of convergence across the Haiyuan fault system detected by InSAR. Geophysical Journal International, 205(1), 536-547. doi:10.1093/gji/ggw028en_US
dc.description.abstractOblique convergence across Tibet leads to slip partitioning with the coexistence of strike-slip, normal and thrust motion on major fault systems. A key point is to understand and model how faults interact and accumulate strain at depth. Here, we extract ground deformation across the Haiyuan Fault restraining bend, at the northeastern boundary of the Tibetan plateau, from Envisat radar data spanning the 2001-2011 period. We show that the complexity of the surface displacement field can be explained by the partitioning of a uniform deep-seated convergence. Mountains and sand dunes in the study area make the radar data processing challenging and require the latest developments in processing procedures for Synthetic Aperture Radar interferometry. The processing strategy is based on a small baseline approach. Before unwrapping, we correct for atmospheric phase delays from global atmospheric models and digital elevation model errors. A series of filtering steps is applied to improve the signal-to-noise ratio across high ranges of the Tibetan plateau and the phase unwrapping capability across the fault, required for reliable estimate of fault movement. We then jointly invert our InSAR time-series together with published GPS displacements to test a proposed long-term slip-partitioning model between the Haiyuan and Gulang left-lateral Faults and the Qilian Shan thrusts. We explore the geometry of the fault system at depth and associated slip rates using a Bayesian approach and test the consistency of present-day geodetic surface displacements with a longterm tectonic model. We determine a uniform convergence rate of 10 [8.6-11.5]mm yr-1 with an N89 [81-97]°E across the whole fault system, with a variable partitioning west and east of a major extensional fault-jog (the Tianzhu pull-apart basin). Our 2-D model of two profiles perpendicular to the fault system gives a quantitative understanding of how crustal deformation is accommodated by the various branches of this thrust/strike-slip fault system and demonstrates how the geometry of the Haiyuan fault system controls the partitioning of the deep secular motion.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relation.ispartofGeophysical Journal Internationalen_US
dc.rightsThis article has been accepted for publication in Geophysical Journal International © 2016 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society. All rights reserved.en_US
dc.subjectEngineering::Environmental engineeringen_US
dc.titleAlong-strike variations of the partitioning of convergence across the Haiyuan fault system detected by InSARen_US
dc.typeJournal Articleen
dc.contributor.researchEarth Observatory of Singaporeen_US
dc.description.versionPublished versionen_US
dc.subject.keywordsTime-series Analysisen_US
dc.subject.keywordsInverse Theoryen_US
dc.description.acknowledgementWe thank Editor, Prof Duncan Agnew, and two anonymous reviewers for their thorough and thoughtful reviews of this manuscript. The SAR data set was provided by the European Space Agency (ESA) in the framework of the Dragon 3 program (projects ID 10686). The NSBAS development was funded through the CNES TOSCA program (SAR ready and TeraSAR projects). SD’s work is supported through the Dragon 3 Young Scientist fellowship, Grenoble Innovation Recherche (AGIR) fellowship,two Labex OSUG@2020 University of Grenoble projects and the CNRS Mastodons computing facilities. Part of work was done at the Earth Observatory of Singapore, funded from the National Research Foundation and the Labex OSUG@2020 from University of Grenoble. RJ is supported by the Marie Currie FP7 Initial Training Network iTECC (investigating Tectonic Erosion Climate Coupling).en_US
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