Moho topography of the Tibetan Plateau using multi-scale gravity analysis and its tectonic implications

Xu, Chuang; Liu, Ziwei; Luo, Zhicai; Wu, Yihao; Wang, Haihong

doi:10.1016/j.jseaes.2017.02.028

Cited by 40 publications

(51 citation statements)

References 54 publications

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“…Some major features of the obtained Moho depth variations are different from other published results based on the gravity data (e.g., Baranov et al, ; Braitenberg et al, , ; Chen & Tenzer, ; Shin et al, ; Tenzer et al, ; Xu et al, ). For comparison, the interpolated seismic‐derived Moho (Stolk et al, ) and four most recent results (Baranov et al, ; Chen & Tenzer, ; Shin et al, ; Xu et al, ) are shown in Figures b–f. Our results (Figure a) reveal that the Moho is quite deep in southern Tibet along the Indus‐Tsangpo Suture (ITS) (75–77 km), and relatively deep Moho is also observed in northern and eastern Tibet in the Songpan‐Ganzi Block (SGB) (65–67 km).…”

Section: Moho Structure Of the Tibetan Plateaucontrasting

confidence: 89%

“…As shown in Figure a, the maximum correlation coefficient reaches 0.82 when h 0 = 48 km and ρ = 580 kg / m 3 . This set of parameters is different from previous studies, for example, 50 km and 480 kg / m 3 in Xu et al (), 48 km and 600 kg / m 3 for land while 500 kg / m 3 for ocean in Bagherbandi (), and 32 km and 368 kg / m 3 in Shin et al (). The distribution of the seismic determinations of Stolk et al () used in this study is very inhomogeneous.…”

Section: Moho Structure Of the Tibetan Plateaumentioning

confidence: 57%

“…Comparison of Moho models derived by (a) our results; (b) Stolk et al (); (c) Xu et al (); (d) Shin et al (); (e) Baranov et al (); and (f) Chen and Tenzer (). Note that there is no data in 70–75°E in Xu et al ().…”

Section: Moho Structure Of the Tibetan Plateaumentioning

confidence: 66%

“…Shin et al () found distinct Moho folds in central Tibet, which have been interpreted as the north‐south extrusion resulting from the India‐Eurasia convergence. Xu et al () found a remarkable Moho offset of approximately 5 km beneath the Yarlung‐Zangbo Suture. Although these researches provided the Moho variations for the whole Tibet area, the estimated Moho depths are noticeably different owing to the different data, modeling tools employed, and the inherent uniqueness of the gravity inversion.…”

Section: Introductionmentioning

confidence: 99%

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Moho Beneath Tibet Based on a Joint Analysis of Gravity and Seismic Data

Zhao

Liu

Chen

et al. 2020

Geochem Geophys Geosyst

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We use the improved Parker‐Oldenburg's formulas that include a reference depth into the exponential term and employ the Gauss‐fast Fourier transform method to determine Moho depth beneath the Tibetan Plateau. The synthetic models demonstrate that the improved Parker's formula has high accuracy with the maximum absolute error less than 0.25 mGal compared to the analytical solution. Two inversion parameters, that is, the reference depth and the density contrast, are essential for the Moho estimation based on the gravity field, and they need to be determined in advance to obtain correct results. Therefore, the Moho estimates derived from existing seismic studies are used to reduce the nonuniqueness of the gravity inversion and to determine these parameters by searching for the maximum correlation between the gravity‐inverted and seismic‐derived Moho depths. Another critical issue is to remove beforehand the gravity effects of other factors, which affect the observed gravity field besides Moho variations. In addition to the topography, the gravity effects of the sedimentary layer and crystalline crust are removed based on existing crustal models, while the upper mantle impact is determined based on the seismic tomography model. The inversion results show that the Moho structure under the Tibetan plateau is very complex with the depths varying from about 30–40 km in the surrounding basins (e.g., Ganges basin, Sichuan basin, and Tarim basin) to 60–80 km within the plateau. This considerable difference up to 40 km on the Moho depth reveals the substantial uplift and thickening of the crust in the Tibetan Plateau. Furthermore, two visible “Moho depression belts” are observed within the plateau with the maximum Moho deepening along the Indus‐Tsangpo Suture and along the northern margin of Tibet bounding the Tarim basin with the relatively shallow Moho in central Tibet between them. The southern “belt” is likely formed in compressional environment, where the Indian plate underthrusts northward beneath the Tibetan Plateau, while the northern one could be formed by the southward underthrust of the Asian lithosphere beneath Tibet.

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Section: Moho Structure Of the Tibetan Plateaucontrasting

confidence: 89%

Section: Moho Structure Of the Tibetan Plateaumentioning

confidence: 57%

Section: Moho Structure Of the Tibetan Plateaumentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Moho Beneath Tibet Based on a Joint Analysis of Gravity and Seismic Data

Zhao

Liu

Chen

et al. 2020

Geochem Geophys Geosyst

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“…The spline interpolation is used to compute the gridded data for wavelets decomposition. Coif3 basis functions are chosen for wavelet decomposition (Xu et al, 2017). Figure 2 shows the 20 wavelet details, where the maximum order for decomposition is preliminarily chosen as ten.…”

Section: Wavelet Analysis Of Local Gravity Signalsmentioning

confidence: 99%

A multilayer approach and its application in modeling QGNSea V1.0: a local gravmetric quasi-geoid model over the North Sea

Luo

Zhong

et al. 2018

Preprint

Self Cite

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Abstract:A multilayer approach is set up for local gravity field modeling based on the idea of multi-resolution representation merging heterogeneous gravity data. Different layers of Poisson wavelets' grids are formed to recover the signals at various levels, where the shallow and deep layers mainly capture the short-and long-wavelength signals, respectively. The depths of these layers beneath the topography are linked to the locations that the anomaly sources locate, estimated by the wavelet decomposition and power spectrum analysis. For testing the performance of this 15 approach, a gravimetric quasi-geoid over the North Sea in Europe called QGNSea V1.0 is computed and compared with other existing models. The results show that the multilayer approach outperforms the traditionally used single-layer one in high-frequency bands, and the former fit the gravity data better, especially in regions with a tendency toward topographical variation. The evaluation with GPS/leveling data show the accuracies of QGNSea V1.0 modeled from the multilayer approach are improved by 0.3 cm, 0.6 cm and 0.8 cm in the Netherlands, Belgium and 20 parts of Germany, respectively, compared to the original solution computed from the single-layer approach. Further validation with existing models show QGNSea V1.0 has the best quality, which may be beneficial for studying the ocean circulation between the North Sea and neighbouring waters.

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Separation and Interpretation of Gravity Field Data Based on Two Dimensional Normal Space-Scale Transform (NSST2D) Algorithm: A Case Study of Kauring Airborne Gravity Test Site, Western Australia

Liu

2019

Pure Appl. Geophys.

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Moho topography of the Tibetan Plateau using multi-scale gravity analysis and its tectonic implications

Cited by 40 publications

References 54 publications

Moho Beneath Tibet Based on a Joint Analysis of Gravity and Seismic Data

Moho Beneath Tibet Based on a Joint Analysis of Gravity and Seismic Data

A multilayer approach and its application in modeling QGNSea V1.0: a local gravmetric quasi-geoid model over the North Sea

Separation and Interpretation of Gravity Field Data Based on Two Dimensional Normal Space-Scale Transform (NSST2D) Algorithm: A Case Study of Kauring Airborne Gravity Test Site, Western Australia

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