Abstract
Located in the central part of the Tibetan Plateau, the Qiangtang terrane preserves important record of the uplift and deformation history of the Plateau, and therefore remains an attractive area of research. However, deep geophysical investigations of its western part are still limited. To further understand the deep structure of the western Qiangtang terrane and its surroundings, we use magnetotelluric array data to generate a 3D electrical structure. It reveals high resistivity anomalies in the upper crust and scattered high conductivity anomalies in the mid-lower crust. The electrical structure also suggests that the Longmu Co-Gozha Co fault once believed to be a major regional deformation boundary, may not have cut through the crust. The melt content and rheological parameters derived from the electrical structures show dominant ductile-type deformation in most of the study area, which contributes to block extrusion along the slip faults. Viscous deformation regions formed by mantle melt upwelling in the mid-lower crust may contribute to the formation of the N-S directed normal faults on the surface.
1 Introduction
The western Qiangtang terrane is located in the northwest part of the Tibetan Plateau, with the Bangong Co-Nujiang suture (BNS) in the south, the Longmu-Gozha Co slip fault (LGCF) in the north, and the Karakorum slip fault (KF) in the west forming the triangle-like borders of the region (Figure 1). This triangle-shaped tectonic formation of the western Qiangtang terrane differs from that of the central and eastern part of the plateau. This area lies on the western boundary of the V-sharp conjugate strike-slip fault zone (), in close proximity to the Plateau’s western boundary. Along with the strike-slip faults, a series of normal faults are distributed across this region, indicating the complicated crustal deformation that contributes to the formation of the plateau. The earthquakes were mostly concentrated in the upper-mid-crust, and most of them were normal and strike-slip faulting earthquakes (; ). InSAR and GPS data show that the strain rates within the western Qiangtang terrane are relatively high (). The contractional stress mainly occurs inside the western Qiangtang terrane, while strike-slip stress occurs in the boundary of the terrane (). On the other hand, the surface velocity of the region exhibits little eastward motion and a comparatively lower northward component compared to that of the south-central Tibetan Plateau (). Consequently, the deep structure and deformation mechanism within this area may be distinctly different from that of the south-central part of the plateau, making them an attractive subject of research (). However, as previous geophysical surveys and numerical geodynamic models in this area remain relatively limited, the deep three-dimensional structure and rheological state are still poorly understood.
FIGURE 1
Magnetotellurics (MT) is an important geophysical method to study the deep electrical structural features of the lithosphere, which allows the estimation of rheological conditions based on the conductivity model to provide evidence for regional evolutionary processes (
2 Magnetotelluric data and analysis
2.1 Magnetotelluric data
Our study area includes most parts of the western Qiangtang terrane, the west end of the BNS, and the northern part of the western Lhasa terrane. We used 97 MT stations (Figure 1), including eight long-period MT data and 89 broadband MT data, collected by the SinoProbe (
Time series were analyzed and processed using robust statistic methods (BBMT: (
To date, only one other 2D MT study involved in the western Qiangtang terrane has been published (
2.2 Dimensional analysis
As the inversion of MT data is greatly simplified when applying a 2D assumption, it is necessary to get an overview of the MT data with its dimensionality. The phase tensors are calculated by using the algorithm given by
FIGURE 2

Results of phase tensor analysis for all stations with periods of (A) 0.1 s, (B) 1 s, (C) 10 s, (D) 100 s, and (E) 1,000 s.
In the period of 0.1–1 s, most of the data have a 2D deviation angle |β| = 0 and the ellipses have unequal lengths of the long and short axes, indicating a 2D tectonic feature. The data with a 2D deviation angle |β| > 3 are mainly distributed near the suture zone, indicating inhomogeneous electrical characteristics within the suture zone. In the period of 10–100 s, there is an increase in the amount of data with a 2D deviation angle of |β| > 9, and the length of the long and short axes of the ellipse is unequal. The direction of the long axis of the polarized ellipse of the data located at the tectonic boundary is consistent with the area’s direction. The closer to the boundary, the larger |β|, the larger it is. 3D tectonic features are evident in the moderately deep region of the study area. In the period of 1,000 s, most of the data have a 2D deviation angle |β| > 9, indicating strong 3D features in the deeper part of the study area. Therefore, the data in the study area require 3D inversion to establish the electrical structure of the area.
3 3D inversion of the MT data
3.1 Inversion settings
The 3D inversion code package named ModEM (
The preferred model was obtained after 209 iterations with the overall normalized-root-mean-squared (nRMS) misfit of 2.12, which has an initial nRMS misfit of 23.94. The distribution of the nRMS misfits of each station is illustrated in Figure 3. Overall, the data are fitted well, indicating that our preferred model is well-constrained and described satisfactorily by the observed data. For the impedance tensor, all the main features of the observed data are well reproduced by the calculated data by using our preferred model. A detailed comparison between the observed and calculated data can be found in Supplemental Material.
FIGURE 3

Distribution of nRMS misfits of 3-D inversion of diagonal and off-diagonal components. (A) Diagonal and (B) off-diagonal.
3.2 Preferred resistivity model
As the previous 2D result has shown (
The main features of the resistivity model are the two conductivity anomalies in the mid-north of the Qiangtang terrane (C1) and the Lhasa terrane (C3), which are separated by resistivity anomaly under the BNS and south of the Qiangtang terrane (R) as shown in the longitude (N-S) resistivity section (Figures 4E–G). C1 and C3 extend from 20 km to the Moho (
FIGURE 4

(A–C) Resistivity maps at depths of 20 km, 40 km, and 60 km. The black dots show the location of the MT sites. The confidence regions at each station’s location are circled with a radius equal to the depth, while the remaining regions are sub-transparent for reference only. See Figure 1 for the descriptions of the surface structures superimposed. (D) Red lines show the location of vertical slices (E–G). (E–G) Longitude (N–S) resistivity section of the preferred inversion model at ∼80°E (A–A′), ∼81°E (B–B′), and ∼82°E (C–C′). The beach balls show the focal earthquake mechanism in the research area (
Our results reveal, for the first time, the electrical structure beneath the LGCF, which is believed to be the western extension of the Altyn Tagh fault and the western boundary of the eastward material movement. The sensitivity test identified a discontinuity between C1 and C2 beneath the LGCF (see Supplemental Material). Previous research using aeromagnetic (
The presence of high resistivity anomalies in the deep is indicative of the crystalline basement. The occurrence of a low-velocity or high-conductivity zone in the Tibetan Plateau crust is generally attributed to the presence of melt or salt-bearing fluids, which can significantly weaken the crust. In fact, most earthquakes occur within highly resistant bodies or at the boundary between highly resistant and low-resistant bodies (Figures 4E–G). The highly conductive Qiangtang mid-lower crust exhibits almost no seismic activity, suggesting the rocks in this region may be too weak for brittle damage. Conversely, earthquakes occurring near the BNS exhibit deeper focal depths, implying that the rocks are characterized by a higher strength profile in comparison to the Qiangtang terrane. This distinctive contrast in mechanical properties may potentially be linked to the distribution of ophiolites within the BNS (
The conductivity of the deep crust has been used to estimate fluid fraction and viscosity based on laboratory experiments in calibrating internal relationships. Our discussions below will focus on using the high conductivity zone (especially C1 in the Qiangtang terrane) to constrain the rheology of the crust, which can further help to understand surface deformation in the western Qiangtang terrane and its surrounding areas.
4 Discussion
4.1 Bridging the conductance and rheology properties
Similar to other regularized geophysical inversions, the ModEM MT inversion method aims to find a model that fits the data, while also maintaining smooth spatial variations between different layers, which is accomplished through the use of a smooth prior model and regularization to that prior (
FIGURE 5

Vertical conductance map for depth from 20 to 75 km calculated by using the preferred resistivity model, where C1, C2, and C3 are labeled. The white line is the 5500 S contour line. The white dotted line is the 16,500 S contour line.
The high-conductivity zones observed in the mid-lower crust of the Tibetan Plateau, particularly when coinciding with low-velocity zones, are often interpreted as indicative of partial melt (
To determine conductivity in partial melting zones, the region can be treated as a two-phase medium with solid and liquid phases, and conductivity can be estimated using the Modified Archie’s law empirical formula (
is the effective bulk conductivity, is the rock matrix’s conductivity, is the fluid or melt conductivity, and m is the cementation exponent, where m=1 means that melts are highly interconnected and m=2 means that melts are isolated. Experiments have shown that the primary factors influencing the conductivity of the rock matrix and pure melt are temperature and pressure. In the absence of density and geothermal heat flow data, the depth–temperature relationship is established based on the average temperature model of the Tibetan Plateau (
FIGURE 6

(A) Relationship between temperature and depth used in this paper; (B) relationship between pressure and depth used in this paper.
At this temperature and pressure condition, rock matrix conductivity can be estimated (
FIGURE 7

(A) Melt fraction with hydrous andesite melts, whose water content is approximately 6wt%, when the melt is interconnected; (B) relationship between melt fraction and bulk/shear viscosities in different melt distributions.
Estimations (Figure 7A) show that if the depth is larger, the melt fraction is lower for achieving a specific effective conductivity. At depths below 40 km, the estimated melt fraction is approximately 1%–7% for an effective conductivity of 0.1 S/m and approximately 4%–20% for an effective conductivity of 0.3 S/m. At 30 km depth, 0.1 S/m conductivity yields >20% melt, while higher conductivity requires more melt. Shallower depths need more melt for 0.1 S/m conductivity. Combined with the vertical profile, this estimate may indicate a low melt fraction (<7%) in the lower crust and a region of very high melt fraction (>20%) in the middle crust.
Our result suggests a higher estimate of melt fraction in the mid-lower crust compared to the previous seismic result (<3%) (
Moreover, the extrusive igneous rocks in the northern part of the Qiangtang terrane are relatively young, with ages less than 5 Ma and some even younger than 0.3 Ma (
The estimated melt fraction provides a qualitative understanding of the rheological properties of the region. Experimental studies have indicated that a melt fraction of more than 10% will significantly reduce the crustal strength (
4.2 Regional deformation mechanisms
Based on the analysis from the previous section, the viscosity surpasses 3×1018 Pa s, in most of the western Qiangtang terrane. Therefore we believe that the primary deformation type for the regional crust should be ductile, except for the scattered high-conductivity anomalies representing viscosities below 3 × 1018 Pa•s. Moreover, the electrical model shows that LGCF does not fully cut through the crust, which indicates that the western Qiangtang and the Tianshuihai subterrane may remain connected in the deep crust (
Unlike the situation in the central plateau, the craton-like Tarim Basin in the study area serves as an oblique boundary condition, owing to its angled orientation with respect to the northward subduction of the Indian plate (
Comparing surface deformation and deep rheological structures derived from electrical structures, it is observed that the weak, viscous zones in the mid-crust scattered inside the Qiangtang terrane correlate with the location of the normal faults on the surface (Figure 8). Previous petrographic analyses indicated that the melt responsible for the crustal weakening of the area may be linked to mantle upwelling (
FIGURE 8

Schematic illustration of regional deformation at the mid-lower crust of the western Qiangtang terrane. The viscous deformation areas (orange) divide the mid-lower crust into scattered ductile blocks. During the Indian Plate’s northward subduction, the oblique compressional stress between the Tarim and Lhasa terranes may lead to the eastward extrusion, which contributes to the individual ductile blocks rotating clockwise. BNS: Bangong Co-Nujiang suture; KF: Karakorum fault; LGCF: Longmu Co-Gozha Co fault; ①: Bue Co conjugate faults; and ②: Aishui Co conjugate faults.
5 Conclusion
We used MT data to generate the first 3D electrical structure focusing on the western Qiangtang terrane and its surrounding areas, revealing scattered N-S-directed high-conductivity anomalies within the mid-lower crust of this area, which showed a scattered N–S-directed high-conductivity anomaly inside of the mid-lower crust of the western Qiangtang terrane. Based on this structure, we estimated melt fraction and rheological parameters using the previous experimental data. Our estimations indicate that ductile deformation dominates the western Qiangtang terrane and its surrounding areas, with N–S-directed viscous deformation zones dividing the ductile region into a few individual blocks. The viscous region may be formed by mantle upwelling in the mid-lower crust, which contributes to the regional development of surface normal faults. On the other hand, the extrusion and rotation of the ductile blocks under the N–S oblique stress may lead to the formation of a series of sinistral strike-slip faults on the north and south boundaries of the west Qiangtang terrane. Our results have clearly indicated that the analysis of the rheological structure through the deep geophysical structure can provide important insights into the mechanisms beneath the surface deformation. However, the coverage of MT data is limited due to the extreme topography and road conditions hindering a more detailed modeling of the region. High-resolution data acquisition and the introduction of quantitate geodynamic modeling are needed to provide further understanding of the complex deformation mechanisms in the western Qiangtang terrane.
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: gu, jiangfan (2023), “Supplemental Data files for: The deformation mechanism in the western Qiangtang block and its surroundings: evidence form magnetotellurics data”, Mendeley Data, V1, doi: 10.17632/cv6zbs4zrg.1
Author contributions
JG: data curation, methodology, visualization, software, and writing—original draft. SJ and HD: writing - review and editing, project administration, and funding acquisition. HD, WW, GY, and LZ: writing—review and editing. All authors contributed to the article and approved the submitted version.
Funding
This study was funded by the Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK0701), project SINOPROBE, and National Nature Science Foundation of China (4212100033).
Acknowledgments
The authors thank Alan Jones and Gary McNeice for their tensor decomposition code. They used the GMT software package (Wessel and Smith, 1998) to produce figures.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feart.2023.1207150/full#supplementary-material
References
1
BaiD.UnsworthM. J.MejuM. A.MaX.TengJ.KongX.et al (2010). Crustal deformation of the eastern Tibetan plateau revealed by magnetotelluric imaging. Nat. Geosci.3, 358–362. 10.1038/ngeo830
2
BookerJ. R. (2014). The Magnetotelluric Phase Tensor: A Critical Review. Surv. Geophys. 10.1007/s10712-013-9234-2
3
CaldwellT. G.BibbyH. M.BrownC. (2004). The magnetotelluric phase tensor. Geophys. J. Int.158, 457–469. 10.1111/j.1365-246X.2004.02281.x
4
ChevalierM. L.TapponnierP.Van der WoerdJ.RyersonF. J.FinkelR. C.LiH. (2012). Spatially constant slip rate along the southern segment of the Karakorum fault since 200ka. Tectonophysics530–531, 152–179. 10.1016/j.tecto.2011.12.014
5
ChevalierM. L.WoerdJ. V. D.TapponnierP.LiH.RyersonF. J.FinkelR. C. (2016). Late quaternary slip-rate along the central bangong-chaxikang segment of the Karakorum fault, Western tibet. Bull. Geol. Soc. Am.128, 284–314. 10.1130/B31269.1
6
ChevalierM. L.PanJ.LiH.SunZ.LiuD.PeiJ.et al (2017). First tectonic-geomorphology study along the longmu–gozha Co fault system, western tibet. Gondwana Res.41, 411–424. 10.1016/j.gr.2015.03.008
7
CostaF. (2021). Clocks in magmatic rocks. Annu. Rev. Earth Planet. Sci.49, 231–252. 10.1146/annurev-earth-080320-060708
8
DongH.EgbertG. D. (2019). Divergence-free solutions to electromagnetic forward and adjoint problems: A regularization approach. Geophys. J. Int.216, 906–918. 10.1093/gji/ggy462
9
DongS. W.LiT. D.LüQ. T.GaoR.YangJ. S.ChenX. H.et al (2013). Progress in deep lithospheric exploration of the continental China: A review of the sinoprobe. Tectonophysics606, 1–13. 10.1016/j.tecto.2013.05.038
10
DongH.WeiW.JinS.YeG.JonesA. G.ZhangL.et al (2020). Shaping the surface deformation of central and south Tibetan plateau: Insights from magnetotelluric array data. J. Geophys. Res. Solid Earth125, 1–20. 10.1007/s00262-019-02436-3
11
DziewonskiA. M.AndersonD. L. (1981). Preliminary reference Earth model. Phys. Earth Planet. Inter.25, 297–356. 10.1016/0031-9201(81)90046-7
12
EgbertG. D.BookerJ. R. (1986). Robust estimation of geomagnetic transfer functions. Geophys. J. Int.87, 173–194. 10.1111/j.1365-246X.1986.tb04552.x
13
EgbertG. D. (1997). Robust multiple-station magnetotelluric data processing. Geophys. J. Int.130, 475–496. 10.1111/j.1365-246X.1997.tb05663.x
14
EkströmG.NettlesM.DziewońskiA. M. (2012). The global CMT project 2004-2010: Centroid-moment tensors for 13,017 earthquakes. Phys. Earth Planet. Inter.200–201, 1–9. 10.1016/j.pepi.2012.04.002
15
GilliganA.PriestleyK. F.RoeckerS. W.LevinV.RaiS. S. (2015). The crustal structure of the Western Himalayas and Tibet. J. Geophys. Res. Solid Earth120, 3946–3964. 10.1002/2015JB011891
16
GloverP. W. J.HoleM. J.PousJ. (2000). A modified Archie’s law for two conducting phases. Earth Planet. Sci. Lett.180, 369–383. 10.1016/S0012-821X(00)00168-0
17
GuoZ.WilsonM.LiuJ.MaoQ. (2006). Post-collisional, potassic and ultrapotassic magmatism of the Northern Tibetan Plateau: Constraints on characteristics of the mantle source, geodynamic setting and uplift mechanisms. J. Petrol.47, 1177–1220. 10.1093/petrology/egl007
18
GuoZ.WilsonM.ZhangL.ZhangM.ChengZ.LiuJ. (2014). The role of subduction channel mélanges and convergent subduction systems in the petrogenesis of post-collisional K-rich mafic magmatism in NW Tibet. Lithos198–199, 184–201. 10.1016/j.lithos.2014.03.020
19
GuoX.LiB.NiH.MaoZ. (2017). Electrical conductivity of hydrous andesitic melts pertinent to subduction zones. J. Geophys. Res. Solid Earth122, 1777–1788. 10.1002/2016JB013524
20
HackerB. R.RitzwollerM. H.XieJ. (2014). Partially melted, mica-bearing crust in central tibet. Tectonics33, 1408–1424. 10.1002/2014TC003545
21
HashimL.GaillardF.ChampallierR.Le BretonN.ArbaretL.ScailletB. (2013). Experimental assessment of the relationships between electrical resistivity, crustal melting and strain localization beneath the Himalayan-Tibetan Belt. Earth Planet. Sci. Lett.373, 20–30. 10.1016/j.epsl.2013.04.026
22
JinS.YeG.WeiW.DengM.JingJ. (2007). Electrical structure and fault features of crust and upper mantle beneath the western margin of the qinghai-tibet plateau: Evidence from the magnetotelluric survey along zhada-quanshui lake profile. J. China Univ. Geosci.18, 326–333. 10.1016/S1002-0705(08)60013-8
23
KelbertA.MeqbelN.EgbertG. D.TandonK. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Comput. Geosci.66, 40–53. 10.1016/j.cageo.2014.01.010
24
KreemerC.BlewittG.KleinE. C. (2014). A geodetic plate motion and global strain rate model. Geochem. Geophys. Geosystems15, 3849–3889. 10.1002/2014GC005407
25
LiL.MurphyM. A.GaoR. (2020). Subduction of the Indian plate and the nature of the crust beneath western tibet: Insights from seismic imaging. J. Geophys. Res. Solid Earth125. 10.1029/2020JB019684
26
LiH.ChevalierM. L.TapponnierP.PanJ.Van der WoerdJ.MériauxA. S.et al (2021). Block tectonics across western tibet and multi-millennial recurrence of great earthquakes on the karakax fault. J. Geophys. Res. Solid Earth126. 10.1029/2021JB022033
27
PriestleyK.JamesJ.MckenzieD. (2008). Lithospheric structure and deep earthquakes beneath India, the Himalaya and southern Tibet. Geophys. J. Int.172, 345–362. 10.1111/j.1365-246X.2007.03636.x
28
RatermanN. S.CowgillE.LinD. (2007). Variable structural style along the Karakoram fault explained using triple-junction analysis of intersecting faults. Geosphere3, 71–85. 10.1130/GES00067.1
29
RippeD.UnsworthM. (2010). Quantifying crustal flow in Tibet with magnetotelluric data. Phys. Earth Planet. Inter.179, 107–121. 10.1016/j.pepi.2010.01.009
30
RosenbergC. L.HandyM. R. (2005). Experimental deformation of partially melted granite revisited: Implications for the continental crust. J. Metamorph. Geol.23, 19–28. 10.1111/j.1525-1314.2005.00555.x
31
SchmelingH.KruseJ. P.RichardG. (2012). Effective shear and bulk viscosity of partially molten rock based on elastic moduli theory of a fluid filled poroelastic medium. Geophys. J. Int.190, 1571–1578. 10.1111/j.1365-246X.2012.05596.x
32
SchmelingH. (1985). Numerical models on the influence of partial melt on elastic, anelastic and electric properties of rocks. Part I: Elasticity and anelasticity. Phys. Earth Planet. Inter.41, 34–57. 10.1016/0031-9201(85)90100-1
33
SchmelingH. (1986). Numerical models on the influence of partial melt on elastic, anelastic and electrical properties of rocks. Part II: Electrical conductivity. Phys. Earth Planet. Inter.43, 123–136. 10.1016/0031-9201(86)90080-4
34
ShenX. (1991). “Crust and upper mantle thermal structure of xizang (tibet) inferred from the mechanism of high heat flow observed in south tibet,” in Terrestrial heat flow and the lithosphere structure, 293–307. 10.1007/978-3-642-75582-8_14
35
ShinevarW. J.BehnM. D.HirthG. (2015). Compositional dependence of lower crustal viscosity. Geophys. Res. Lett.42, 8333–8340. 10.1002/2015GL065459
36
TaylorM.PeltzerG. (2006). Current slip rates on conjugate strike-slip faults in central Tibet using synthetic aperture radar interferometry. J. Geophys. Res. Solid Earth111. 10.1029/2005JB004014
37
TaylorM.YinA.RyersonF. J.KappP.DingL. (2003). Conjugate strike-slip faulting along the Bangong-Nujiang suture zone accommodates coeval east-west extension and north-south shortening in the interior of the Tibetan Plateau. Tectonics22. 10.1029/2002tc001361
38
UnsworthM. (2010). Magnetotelluric studies of active continent–continent collisions. Surv. Geophys.31, 137–161. 10.1007/s10712-009-9086-y
39
VarentsovI. M.SokolovaE. Y.MartanusE. R.NalivaikoK. V. (2003). System of electromagnetic field transfer operators for the BEAR array of simultaneous soundings: Methods and results. Izv. Phys. Solid Earth39, 118–148.
40
WangM.ShenZ. K. (2020). Present-day crustal deformation of continental China derived from GPS and its tectonic implications. J. Geophys. Res. Solid Earth125. 10.1029/2019JB018774
41
WangX.ZhouX. P.ZhangX. Y.BaiZ. M.TengJ. W. (2015). Tomographic imaging of velocity structure in upper crust based on correlated inversion of VP and VS. Acta geophys. Sin.58, 3553–3570. 10.6038/cjg20151011
42
WangB. D.WangL. Q.ChungS. L.ChenJ. L.YinF. G.LiuH.et al (2016). Evolution of the Bangong-Nujiang Tethyan ocean: Insights from the geochronology and geochemistry of mafic rocks within ophiolites. Lithos245, 18–33. 10.1016/j.lithos.2015.07.016
43
WangH.WrightT. J.Liu‐ZengJ.PengL. (2019). Strain rate distribution in south‐central tibet from two decades of InSAR and GPS. Geophys. Res. Lett.46, 5170–5179. 10.1029/2019GL081916
44
WeiF.PrytulakJ.XuJ.WeiW.HammondJ. O. S.ZhaoB. (2017). The cause and source of melting for the most recent volcanism in tibet: A combined geochemical and geophysical perspective. Lithos288–289, 175–190. 10.1016/j.lithos.2017.07.003
45
WilliamsH. M.TurnerS. P.PearceJ. A.KelleyS. P.HarrisN. B. W. (2004). Nature of the source regions for post-collisional, potassic magmatism in southern and northern Tibet from geochemical variations and inverse trace element modelling. J. Petrol.45, 555–607. 10.1093/petrology/egg094
46
WrightT. J.ParsonsB.EnglandP. C.FieldingE. J. (2004). InSAR observations of low slip rates on the major faults of Western Tibet. Science305, 236–239. 10.1126/science.1096388
47
XiongS. Q.TongJ.DingY. Y.LiZ. K. (2016). Aeromagnetic data and geological structure of continental China: A review. Appl. Geophys.13, 227–237. 10.1007/s11770-016-0552-2
48
YinA.TaylorM. H. (2011). Mechanics of V-shaped conjugate strike-slip faults and the corresponding continuum mode of continental deformation. Bull. Geol. Soc. Am.123, 1798–1821. 10.1130/B30159.1
49
YinZ.XuC. (2017). Estimating gravity changes caused by crustal strain: Application to the Tibetan Plateau. Geophys. J. Int.210, 1191–1205. 10.1093/gji/ggx231
50
YuH.XuJ.ZhaoB.ShenH.LinC. (2014). Magmatic processes of ashi volcano, western kunlun mountains, China. Acta Geol. Sin. Engl. Ed.88, 530–543. 10.1111/1755-6724.12212
51
ZengS.HuX.LiJ.XuS.FangH.CaiJ. (2015). Detection of the deep crustal structure of the Qiangtang terrane using magnetotelluric imaging. Tectonophysics661, 180–189. 10.1016/j.tecto.2015.08.038
52
ZhangZ.WangY.HousemanG. A.XuT.WuZ.YuanX.et al (2014). The Moho beneath Western Tibet: Shear zones and eclogitization in the lower crust. Earth Planet. Sci. Lett.408, 370–377. 10.1016/j.epsl.2014.10.022
53
ZhaoB.HuangY.ZhangC.WangW.TanK.DuR. (2015). Crustal deformation on the Chinese mainland during 1998–2014 based on GPS data. Geod. Geodyn.6, 7–15. 10.1016/j.geog.2014.12.006
54
ZhaoJ.NeupaneB.LiuH.YanD. (2020). Lithospheric structure of Western Tibet – a brief review. J. Asian Earth Sci.198, 104159. 10.1016/j.jseaes.2019.104159
Summary
Keywords
magnetotelluric, Tibetan Plateau, resistivity structure, SinoProbe-deep exploration in China, Qiangtang terrane
Citation
Gu J, Jin S, Dong H, Wei W, Ye G and Zhang L (2023) The deformation mechanism in the western Qiangtang terrane and its surroundings: evidence from magnetotelluric data. Front. Earth Sci. 11:1207150. doi: 10.3389/feart.2023.1207150
Received
17 April 2023
Accepted
31 May 2023
Published
16 June 2023
Volume
11 - 2023
Edited by
Zhanwu Lu, Chinese Academy of Geological Sciences, China
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© 2023 Gu, Jin, Dong, Wei, Ye and Zhang.
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*Correspondence: Sheng Jin, 1993010830@cugb.edu.cn; Hao Dong, donghao@cugb.edu.cn
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.