An Approach to Moho Topography Recovery Using the On-Orbit GOCE Gravity Gradients and Its Applications in Tibet

Wan, Jiakuan; Xu, Chuang; Luo, Zhicai; Wu, Yihao; Zhou, Boyang; Yan, Jianguo

doi:10.3390/rs11131567

Cited by 8 publications

(5 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is a key factor for obtaining refined crust-mantle interface depth to accurately extract the gravity anomaly signal caused by the crust-mantle interface relief, which needs to remove the effect of sediments, consolidated crystalline lunar crust and lower lunar mantle (Wan et al, 2019). The common methods for these corrections depend on existing lunar crustal and mantle models.…”

Section: Crust-mantle Interface Depth Determinationmentioning

confidence: 99%

Fine structure of the lunar crust and upper mantle in the mare serenitatis derived from gravity multi-scale analysis

et al. 2023

Front. Astron. Space Sci.

Self Cite

View full text Add to dashboard Cite

It is significant for revealing the formation mechanism of the lunar Mascon to invert the refined 3-D lunar crust and upper mantle structure of the Mare Serenitatis. As the development of space exploration technology, lunar gravity data has advantages of high accuracy and resolution, which can be used to invert the lunar crust and upper mantle structure. However, gravity anomaly reflects all anomalous material during the whole Moon’s interior, and its vertical structure recognition capability is poor. Thus, this paper adopts wavelet multi-scale analysis method to decompose the gravity anomaly in the Mare Serenitatis for enhancing vertical resolution, and the corresponding field source depths of the decomposed gravity anomalies are further estimated by power spectrum method. Subsequently, the layered densities and the crust-mantle interface depth of the Mare Serenitatis are inverted. The research results show that the 3-D morphological character of two large high-density materials in the Mare Serenitatis is clearly depicted. The southwest high-density material with its bottom center at approximately (15°E, 25°N) has the depth range of 50 km–80 km and the maximum diameter of approximately 150 km. As for the southeast high-density material, its bottom center is located at approximately (23°E, 25°N), the depth range is 30 km–60 km and the maximum diameter is approximately 100 km. Another new finding is that the crust-mantle interface uplift has obviously fallen back in the center of the Mare Serenitatis. The high-density materials and crust-mantle interface uplift may together promote the formation of the Mascon in the Mare Serenitatis.

show abstract

Section: Crust-mantle Interface Depth Determinationmentioning

confidence: 99%

Fine structure of the lunar crust and upper mantle in the mare serenitatis derived from gravity multi-scale analysis

et al. 2023

Front. Astron. Space Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to the collision between the Eurasian and Indian plates, the TP has undergone complex tectonic evolution for 50 million years, and is an ideal region to study plate tectonics, continental collision, and orogeny (Molnar and Tapponnier, 1975;Tapponnier et al, 1982;Royden et al, 2008;Gao et al, 2013;Xu et al, 2017;Xu et al, 2020). The geometry and trend of the Moho discontinuity provide crucial insights for understanding these internal tectonic phenomena (Gao et al, 2013;Xu et al, 2017;Wan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In comparison, gravity methods can achieve high resolution models over large scales. Several scholars used gravity methods to study the Moho topography of the TP (Hao et al, 2014;Chen and Tenzer, 2017;Xu et al, 2017;Wan et al, 2019;Xuan and Jin, 2022). Hao et al (2014) calculated the crustal thickness of the TP based on the EGM2008 and CRUST 2.0 models, and found that the crustal thickness of the TP ranges from 50 to 75 km.…”

Section: Introductionmentioning

confidence: 99%

“…Chen and Tenzer (2017) proposed a spatial domain Moho modeling method to calculate the Moho topography of the TP with constant and variable densities. Wan et al (2019) proposed an inversion algorithm based on orbital gravity gradient data to calculate the Moho topography of the TP, concluding that its deepest Moho discontinuity is close to 70 km. Xuan and Jin (2022) obtained the Moho topography of the TP based on separated regional and local gravity anomalies, showing that the Moho depths in the central and western parts of the TP exhibit a clear north-to-south variation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive linear inversion of Moho topography in the Tibetan Plateau by combining gravity and seismic data

Yu,

Chen,

et al. 2024

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

The Tibetan Plateau is a region where the Indian and Asian-European plates collide. A high-precision Moho topography model is important for the study of plate motion and internal tectonics of the Tibetan Plateau. However, previous gravity-based models failed in representing adequately the Moho topography because crustal effects and biases in the inversion parameters were not fully considered. To address these issues, we extracted the gravity effect caused by the crust using wavelet multi-scale analysis, and used an adaptive linear inversion method with available gravity and seismic data to estimate more accurate inversion parameters. With these two improvements, we inverted for a high-precision Moho topography model of the Tibetan Plateau. The results show that the majority of the Tibetan Plateau has a Moho depth of 60–70 km. The Moho depth in the center of the Qaidam Basin is about 50 km, and the Moho topography between the east and west of the basin has obvious undulations. The Moho depth of the Tarim Basin ranges from 38–50 km. While the undulation of Moho is limited in the center of the basin, obvious uplifts are shown in northern and southern basin. The plate driving force between the Tibetan Plateau and the Tarim Basin may be the primary cause of this phenomenon. By comparing the difference with the seismic data, we found that the RMS of our model is 2.8 km smaller than that of the CRUST 1.0 model, which shows that our model is more accurate.

show abstract

“…Reference [14] utilized the Vening Meinesz s isostatic theory to determine the Moho depth, and [15] reformulated the Moritz s problem, calling it the Vening Meinesz-Moritz (VMM) inverse problem of isostasy. The VMM model has been used extensively to determine a Moho depth globally and regionally [8,[16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods

et al. 2023

View full text Add to dashboard Cite

The high-resolution Moho depth model is required in various geophysical studies. However, the available models’ resolutions could be improved for this purpose. Large parts of the world still need to be sufficiently covered by seismic data, but existing global Moho models do not fit the present-day requirements for accuracy and resolution. The isostatic models can relatively reproduce a Moho geometry in regions where the crustal structure is in an isostatic equilibrium, but large segments of the tectonic plates are not isostatically compensated, especially along active convergent and divergent tectonic margins. Isostatic models require a relatively good knowledge of the crustal density to correct observed gravity data. To overcome the lack of seismic data and non-uniqueness of gravity inversion, seismic and gravity data should be combined to estimate Moho geometry more accurately. In this study, we investigate the performance of two techniques for combining long- and short-wavelength Moho geometry from seismic and gravity data. Our results demonstrate that both Butterworth and spectral combination techniques can be used to model the Moho geometry. The results show the RMS of Moho depth differences between our model and the reference models are between 1.7 and 4.7 km for the Butterworth filter and between 0.4 and 4.1 km for the spectral combination.

show abstract

An Approach to Moho Topography Recovery Using the On-Orbit GOCE Gravity Gradients and Its Applications in Tibet

Cited by 8 publications

References 54 publications

Fine structure of the lunar crust and upper mantle in the mare serenitatis derived from gravity multi-scale analysis

Fine structure of the lunar crust and upper mantle in the mare serenitatis derived from gravity multi-scale analysis

Adaptive linear inversion of Moho topography in the Tibetan Plateau by combining gravity and seismic data

A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods

Contact Info

Product

Resources

About