Abstract
We present crustal models for seismic P-waves (Vp), S-waves (Vs) and the Vp/Vs ratio across the southern North China Craton along latitude 36°N. Our results are based on inverse and forward modeling of long-range wide-angle reflection/refraction data. The crust of the southern Ordos Block has high lower crustal velocity (7.0 km/s) and a Moho depth of ∼42 km. In contrast, thick sediments and a lower average velocity (compared with the Ordos block) found underneath the Shanxi Graben are likely to be the products of rifting that has occurred since the Cenozoic. Steep Moho dips, exposed basement rock and higher average crustal velocity beneath the Lüliang Mountain and the Taihang Mountain are characteristic of an orogenic belt. The Tanlu fault and the Liaocheng-Lankao fault show sharp crustal velocity variations and a Moho offset. This seismic profile sampled the entire region of the Eastern North China Craton where the cratonic root has been destroyed and the unique crustal structure is correlated with the substantially modified lithosphere. Our crustal seismic velocity model shows a strong correspondence between surface geology, local tectonics and the deep crustal structure.
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Ackonwledgments
Special thanks go to Colin Zelt for his advice on model development. We gratefully acknowledge the colleagues from the Geophysical Exploration Center of China Earthquake Administration for their unselfish contributions to this study. We also thank anonymous reviewers and the editors for their comments and suggestions. This work was supported by the DREAM project of the National Key R&D Program of China (No. 2016YFC0600402), the National Natural Science Foundation of China (No. 41774071), and the US Gelogical Survey Earthquake Hazards Program. The final publication is available at Springer via https://doi.org/10.1007/s12583-021-1530-z.
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Tian, X., Mooney, W.D., Deng, X. et al. Crustal P- and S-Wave Velocity Structure of the North China Craton at 36°N from Active-Source Seismic Data and Its Tectonic Implications. J. Earth Sci. 33, 642–663 (2022). https://doi.org/10.1007/s12583-021-1530-z
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DOI: https://doi.org/10.1007/s12583-021-1530-z