Influence of crustal rheology and heterogeneity on tectonic stress accumulation characteristics of North China constrained by GNSS observations

https://doi.org/10.1016/j.jseaes.2021.104780Get rights and content

Highlights

  • North China is characterized by lithosphere heterogeneity and dense faults.

  • Established 3-D viscoelastic FEM based on NSGL, faults, and GNSS velocities.

  • Analyzed stress accumulation across NSGL and relationship with seismicity.

  • High maximum shear stress corresponds to the focal depth.

  • Crustal thickness across NSGL is a major factor dominating earthquake depth.

Abstract

North China is characterized by significant lithosphere heterogeneity and numerous faults, with the occurrence of many historical and ongoing devastating earthquakes. To extend our understanding of the mechanisms of seismicity initiation and fault activity due to lithospheric rheology and lateral difference, we first established a three-dimensional viscoelastic finite element model based on the lithospheric lateral heterogeneity of physical properties across the north–south gravitational lineament (NSGL), spatial distribution of faults, and interseismic global navigation satellite system (GNSS) velocities (1999–2018). We then analyzed the stress accumulation characteristics across the NSGL and its relationship with seismicity. Finally, we explored the temporal and spatial variations of stress along major faults and further analyzed potential relationships between the stress components and rupture mechanisms of typical faults. The results showed that high maximum shear stress, mainly distributed in eastern North China (ENC) and western North China (WNC), corresponding to the focal depth, which suggests that the different brittle crustal thicknesses across the NSGL may be one of the major factors that dominates earthquake depth in North China. Significant maximum shear stress is mainly accommodated on faults around the Ordos Block in WNC and northern faults in ENC, which is consistent with frequent seismic activity in these regions. The relationship between the calculated stress components and rupture mechanisms of typical faults imply that the differential tectonic loading from neighboring blocks may be one of the major dynamic factors for seismogenic processes in North China.

Introduction

North China is located in the eastern Asian continent (central China), which is adjacent to the Pacific Plate to the east, Philippine Plate to the southeast, Tibetan Plateau to the west, Indian Plate to the southwest, Amurian Plate to the north, Eurasian Plate to the northwest, and Yangtze Craton to the south (Chen et al., 2014, Kusky et al., 2007) (Fig. 1a). The collision between the Indian and Asian plates and continuous northward push, combined with the subduction of the Pacific Plate have produced complex structures, numerous faults, and caused intense intraplate seismicity in North China (Deng et al., 2003, Ye et al., 2015). For example, the 1556 Mw 8.0 Huaxian earthquake (Du et al., 2017), 1668 Ms 8.5 Tancheng earthquake (Li, 1986), 1976 Ms 7.8 Tangshan earthquake (Nábělek et al., 1982), and 1998 Mw 5.8 Zhangbei earthquake (Li et al., 2008). These earthquakes are concentrated in the periphery of the Ordos Block and in the northern North China Basin (Fig. 1b). Frequent seismicity and unique structure have rendered North China an ideal natural laboratory to understand tectonic activity relationships among crustal movement, fault activity, and earthquake initiation.

Previous research on crustal deformation and seismicity in North China can be categorized into three aspects. First, seismic tomography and artificial seismic source have been adopted to investigate the influence of crustal and mantle heterogeneity on seismogenic mechanisms. Previous studies on this aspect have suggested that the strain and stress concentration in seismic regions can be attributed to partial Moho upheaval, low velocity zone anomaly, and upwelling of mantle materials (Bi and Jiang, 2019, Dong et al., 2018, Wang et al., 2017). Second, interseismic GNSS observations have been applied to investigate the relative movement of faults, which implied that the sinistral motion of the NNE-trending faults was potentially determined by differential motion among their adjacent blocks, such as the shear couple caused by the Amurian Plate and South China Block (Zhang et al., 2018, Zhao et al., 2017). Crustal strain fields and fault locking were further examined based on kinematic models, such as the least square collocations (Qu et al., 2017), multiscale spherical wavelets (Hao et al., 2019, Meng et al., 2019), and linear elastic coupling estimator (Wang et al., 2011). Third, dynamic simulation models have been used to investigate crustal deformation and stress characteristics under different displacements or stress boundary conditions (Sun et al., 2015), as well as to discuss the relationship between the seismogenic mechanism and lithospheric structure (Liu et al., 2016a, Zhu et al., 2010) and the impact of adjacent large earthquakes on seismicity in North China (Feng et al., 2016, Qu et al., 2019a).

Geodetic observations have revealed present low deformation and fault activity in North China (Liu et al., 2011). However, at least 94 earthquakes greater than M 6 (including 24 earthquakes greater than M 7) have occurred in North China. The contradiction between low crustal movement and intense seismicity implies that deep tectonic activity may contribute to stress accumulation and fault rupture (Liu et al., 2011, Wang et al., 2017). Therefore, further considerations must be placed on stress characteristics influenced by deep lithospheric tectonic loading. The finite element method (FEM) is an effective technique to examine the coupling between crustal deformation and deep tectonic activity, which has been widely used in simulating stress characteristics, seismic cycling, and interaction. High-precision GNSS observations can provide reliable boundary conditions for FEM simulations (Luo and Liu, 2009, Luo and Liu, 2010, Parson, 2002). Previous studies are of great importance to better understand the geodynamics of North China. However, there are a number of key issues that should be resolved in current studies, such as the previous research was usually based on elastic model, which does not account for stress relaxation due to lithospheric rheology (Feng et al., 2016, Qu et al., 2019a); boundary conditions were usually treated as constants instead of referring to actual monitoring data (Liu et al., 2016a), which may be inconsistent with actual crustal motion. In addition, there is a north–south gravitational lineament (NSGL) throughout North China, with significant differences in topography and Moho depth on both sides of the NSGL (Fig. 2). Seismic tomography, artificial seismic source, and receiver function inversion all indicate that North China was separated by the NSGL into two topographically and tectonically heterogeneous domains, i.e., eastern North China (ENC) and western North China (WNC) (Xu, 2007, Xu et al., 2004). Previous studies have not yet investigated the impact of the stress accumulation and seismicity of different lithospheric thicknesses and physical properties that characterize the two sides of the NSGL. More importantly, numerous faults encompassing the Ordos Block and distributed throughout ENC, have been the focal region of historical and ongoing earthquakes. The different stress states of these faults during tectonic evolution and their relationship with historical seismic activity, as well as possible future fault mechanisms, also require further exploration.

Therefore, to further solve these issues and investigate the influence of lithospheric heterogeneity and rheology on fault activity and the mechanisms of seismic initiation in North China, we first analyzed crustal deformation based on long-term and recent GNSS velocities from 1999 to 2018. Then, a three-dimensional (3-D) dynamical viscoelastic FEM was established with reference to the actual lithospheric layers, spatial distribution of faults, and lateral heterogeneity of physical properties on the two sides of the NSGL, followed by the generation of the optimal model through adjustments to the boundary conditions and viscosity. Afterward, stress accumulation on both sides of the NSGL at different time scales were obtained, along with an analysis of the temporal and spatial differences in stress accumulation in the main fault zone. We also discuss the influence of the difference in viscosity coefficient on the stress structure loading and seismicity in deep lithosphere. Finally, we explored the temporal and spatial characteristics of the stress components on typical faults and their potential relationships with the fracture rupture mechanism. The results allow a better understanding of the differences in the stress distribution and segmentation along the main faults, as well as providing a reference for an in-depth understanding of the stress accumulation and seismic activity under the influence of the lateral and longitudinal heterogeneity of the lithosphere in North China.

Section snippets

Tectonic background

North China formed during the Archean (Kusky et al., 2007, Menzies et al., 2007, Zhu and Zheng, 2009) and became a uniform craton via a collision between its western and eastern blocks with the Central Orogenic Belt during the Mesoproterozoic (Zhai, 2011, Zhao et al., 2005), followed by amalgamation with the Yangtze Craton in the early Mesozoic (Zhu et al., 2011, Zhu et al., 2012a, Zhu et al., 2012b). The dynamic mechanism of North China transformed into near east–west intraplate extension due

GNSS velocities

The GNSS observations in this study cover entire North China, including 625 stations from the Crustal Movement Observation Network of China (CMONOC). The high-precision horizontal crustal velocities were processed with the following steps (Hao et al., 2019, Shen et al., 2005). First, the GAMIT 10.7 software developed by the Massachusetts Institute of Technology was used to acquire daily loosely constrained solutions for each station and satellite orbits through a combination with regional

Three-dimensional model

The 3-D viscoelastic FEM was established based on the geological, geophysical, and GNSS observation data. The spatial distribution of major faults within North China and the different thicknesses of the lithospheric layers along the two sides of the NSGL were sufficiently adopted. The model was separated laterally into ENC and WNC along the NSGL, as well as into eight vertical layers, including sediment, upper crust, middle crust, lower crust, and four layers of the upper mantle (Liu et al.,

Results and analysis

Using a Maxwell viscoelastic model, the upper and middle crust should be brittle whereas the lower crust and mantle should be characterized by ductile deformation during tens of thousands of years of tectonic loading (Liu et al., 2016b, Zhu and Zhang, 2013). Previous studies have suggested that GNSS observations can approximately reveal the characteristics of crustal deformation since the Quaternary period, to a certain extent (Mohadjer et al., 2017, Wang et al., 2021). In this study, the model

Influence of boundary conditions

Due to the lack of understanding of the deep movement characteristics of the lithosphere, previous studies have usually considered that the displacement constraint in the 3-D model does not change along the depth direction (Luo and Liu, 2010, Qu et al., 2019a). However, recent geophysical prospecting suggests the possible existence of deep decoupled lower crustal channel flow under the Tibetan Plateau with a motion rate of ~8 mm·a−1 larger than that of the shallow crust. Channel flow may extend

Conclusions

In this study, we constructed a viscoelastic model based on the lithospheric layers, spatial distribution of faults, and GNSS observations to investigate the influence of the lithospheric rheology and heterogeneity on the stress characteristics and earthquake initiation in North China. More importantly, we first discussed and revealed the relationship between the lateral differences in the lithosphere across the NSGL and the focal depth.

The influence depth and focal depth of the high maximum

CRediT authorship contribution statement

Yuan Gao: Methodology, Software, Formal analysis, Writing - original draft. Wei Qu: Supervision, Conceptualization, Methodology, Visualization, Formal analysis, Writing - review & editing. : . Qin Zhang: Supervision, Writing - review & editing. Hailu Chen: Software, Formal analysis. Shichuan Liang: Data curation, Formal analysis. Ming Hao: Data curation, Formal analysis. Qingliang Wang: Writing - review & editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

We thank the second high-tech research center monitoring room of China Seismological Bureau for providing the high precision GNSS velocities data. We thank the Seismic Active Fault Survey Data Center for providing the faults information of North China (http://activefault-datacenter.cn/) and the National Earthquake Data Center for providing the seismicity data (http://data.earthquake.cn). This study was supported by the National Natural Science Foundation of China (42090055, 41674001), National

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