Abstract
The Yunkai Magmatic Arc (YKMA) is located southwest of the South China Block. It has experienced the amalgamation, splitting, and intracontinental orogeny caused by multistage tectonic thermal events. It is also a concentrated area of strong earthquakes in South China. On 12 October 2019, the Beiliu M5.2 earthquake occurred in the hinterland of the YKMA. To reveal the deep electrical structure of the YKMA and the seismogenic environment of the Beiliu earthquake, 101 high-quality data from the magnetotelluric (MT) survey points were acquired. The deep electrical structure images were obtained by three-dimensional electromagnetic inversion imaging. The results indicated that the deep part of the hinterland of the YKMA is characterized by a mushroom-shaped electrical structure composed of ultra-high resistance (R1, with a resistivity value exceeding 10,000 Ωm) and sub-high resistance (R2, with a resistivity value of about 1,000–10,000 Ωm) bodies. The epicenter of the Beiliu M5.2 earthquake was located in R1, close to the contact region between R1 and R2. There are broad low resistivity zones on the southeast and northwest sides of the YKMA. The low resistivity zones is considered to be correspond to the deep extension of the Wuchuan-Sihui and Hepu-Beiliu brittle-ductile shear zones, respectively. The brittle-ductile shearing of the boundary zones and the oblique upwelling of deep mantle-derived magma from the Leiqiong region are the main reasons for the activation of faults and the activity of moderate and strong earthquakes in the YKMA. In this geodynamic environment, local stress and strain accumulation easily occur in the brittle high resistivity body (R1). When the strain energy accumulation exceeded the threshold value that the rock could withstand, new fracture dislocations occurred in the weak region where R1 and R2 contact, which finally resulted in the 2019 Beiliu M5.2 earthquake.
1 Introduction
Magmatic arc is where magma upwelling, emplacement and eruption occur when the oceanic crust subducts under the continental crust. Now the major island arcs around the Pacific are magmatic arcs, which are prone to volcanoes and strong earthquakes (). After a long history of geological evolution, most of the ancient magmatic arcs have not been the scene of the past intense volcanic eruption and seismic activity. However, if the ancient magmatic arcs are affected by the current regional dynamic thermal events to activate the crustal tectonic, they will certainly become a zone of strong earthquake activity. The region of Yunkai Great Mountain in the South China block may be a window to explore the activation of ancient magmatic arcs. Yunkai Great Mountain starts from the South bank of the Xijiang River at the junction of Guangxi and Guangdong provinces in the North and reaches Lianjiang City in Guangdong Province in the South. It stretches for more than 200 km from northeast to southwest. Structurally, Yunkai Great Mountain is located in the South China Block at the southeast edge of the Eurasian continental plate, close to the southern end of the tectonic junction zone of the Yangtze and Cathaysia blocks (Qin-Hang tectonic junction zone, QHTJZ; ; ). It was called the Yunkai Magmatic Arc (YKMA; Figures 1A, B) by . YKMA was formed during the Late Proterozoic to Caledonian. It belongs to the multi-island arc basin system in the southeast margin of the Pan-Cathaysian continent and has experienced the amalgamation, fragmentation, and two significant intracontinental orogenic events which originated from multiple tectonic-thermal events during the Early Paleozoic to Mesozoic (; ; ; ; ; ). Since the Late Cenozoic, the Leiqiong area in the South of YKMA has experienced multi-cycle volcanic eruption (; ; ). The geothermal flow, seismological, and geochemical multi-disciplinary studies showed that the upwelling of deep mantle-derived magma in the Leiqiong area may have reached YKMA (; ; ; ; ; ; ; ; ; ). Compared with the overall low level of modern seismicity of the South China Block, YKMA and the Leiqiong area are the concentrated areas of strong earthquakes in South China. Over the past 400 years, more than eleven earthquakes above M6 have been recorded, including the 1890 Guangxi Luchuan M6 earthquake in the hinterland of YKMA (). The above evidence suggests that the YKMA and its adjacent area have currently become the concentrated zone of strong earthquake activity, which may be related to the upwelling of deep mantle-derived magma in the Leiqiong area. The lack of detailed historical seismic data and deep exploration results makes it impossible for us to further research.
FIGURE 1
On 12 October 2019, another M5.2 earthquake occurred in Beiliu City, located in the Guangxi Zhuang Autonomous Region, in the hinterland of YKMA, with a focal depth of about 10 km. Owing to the increase in the density of the regional seismic monitoring network in recent years and the erection of six mobile observation stations after the earthquake, the activity of this earthquake sequence was completely recorded. Overall, 165 aftershocks above ML0.0 were recorded. After the M5.2 earthquake, numerous studies have been carried out regarding the earthquake sequence, focal mechanism, seismogenic structure, and earthquake occurrence mechanism. For example,
The existence, transport, and interconnection of fluids can cause a significant increase in the conductivity values of rock masses within a fault zone. Changes in their pressure or slip rates can lead to changes in fault activity (
In this study, we obtained an MT profile and array across the YKMA and Beiliu earthquake region, respectively. The results of the three-dimensional magnetotelluric sounding array in the Beiliu earthquake region are displayed in Figure 1C. Based on the results of seismology, geochemistry, and geothermal flow, the deep electrical structure of YKMA and the deep seismogenic environment of the Beiliu M5.2 earthquake were revealed. The research results are significant for understanding the activation of the ancient YKMA fault structure and the genesis of intraplate earthquakes in South China.
2 Regional geological structure and magnetotelluric profile
There are three groups of NE-trending fault zones in the study area, including the western branch (HBf1) and eastern branch (HBf2) of the Hepu-Beiliu fault zone, the western branch (LXf1) and eastern branch (LXf2) of the Lianjiang-Xinyi fault zone, and the Wuchuan-Sihui fault zone (WSf) from northwest to southeast (
FIGURE 2

(A) Topographic map in Beiliu M5.2 earthquake region; (B) Geology map and distribution of MT sites in Beiliu M5.2 earthquake region. SW, Shiwo; WL, Wenlou; PT, Pingtian; BY, Boyang; BX, Baoxu. The names of faults, stratum and mantle-derived Helium of thermal spring gas are consistent with those in Figure 1.
The study area is divided into the Bobai Massif (BBM) and YKMA by HBf1 (
In this research, the Beiliu-Maoming Magnetotelluric Profile (BL-MM-P) stretched across BBM, YKMA, and MMB from northwest to southeast. The profile began from Beiliu in Guangxi Province, through the Beiliu earthquake region, to about 10 km northwest of Maoming in Guangdong Province, with a total length of about 115 km. We obtained 43 survey points, with an average point distance of 2.5 km (Figure 1C). Given the characteristics of the conjugate tectonic system and the mixed distribution of intrusive rocks and metamorphic rocks in the Beiliu earthquake area, the magnetotelluric sounding array was arranged around the epicenter of the Beiliu earthquake. We obtained a total of 58 survey points. The distance between the survey points in the epicenter area was smaller than 1 km (Figure 2).
3 Acquisition, processing, analysis, and inversion of electromagnetic data
3.1 Data acquisition and processing
From December 2020 to March 2021, the MTU-5A magnetotelluric observation system was used for magnetotelluric data acquisition. The electric field components in the SN and EW directions, and the magnetic field components in the SN, EW, and vertical directions were observed. To obtain high-quality electromagnetic data, the recording time of each survey point included two nights, and that of the survey points near strong electromagnetic interference sources included three nights. Meanwhile, a remote reference station (YCK in Supplementary Figure S1.1, about 150 km away from the northwest end and 270 km away from the southeast end of the BL-MM-P profile) was set up for synchronous observation in Xiangzhou County, located in Laibin City, northeast of the study area, to eliminate the strong near-field electromagnetic interference. After processing the data using the remote reference and without robust technologies (
The apparent resistivity and impedance phase curves of 12 typical survey points distributed in BBM, YKMA, and MMB on the BL-MM-P profile are shown in Figure 3. The apparent resistivity curve of each survey point in BBM is characterized by high-low-sub high values with the increase in frequency, indicating that there is a high-resistance layer in the shallow part of this sectionas well as a low-resistance body with a certain thickness in the deep part. The apparent resistivity of each survey point in YKMA is larger than 100 Ω·m in almost all frequency bands, and the curve is characterized by low-high-sub low values with the increase of frequency. These suggest that there are low-resistance layers in the shallow part and high-resistance bodies in the deep part, which are the manifestations of crystalline metamorphic rocks and granitic intrusive rocks. The resistivity tends to decrease further with depth. The apparent resistivity values of the survey points in MMB are generally below hundreds of Ω·m. The apparent resistivity values of No. 5–7 survey points in the Beiliu earthquake region are relatively high, especially in the middle frequency band such that the apparent resistivity reaches 1,000–10,000 Ω·m, and the apparent resistivity tends to decrease in the low-frequency band, indicating that there is a high-resistance body in the middle and deep parts of the earthquake region.
FIGURE 3

Apparent resistivity and impedance phase curves of typical MT sites. Red dots denote XY mode, blue dots denote YX mode. The names of faults, BBM, YKMA, and MMB are consistent with those in Figure 1.
3.2 Regional dimensional analysis
The phase tensor decomposition technology is one of the important tools for the qualitative analysis of electromagnetic data. The two-dimensional deviation degree of the phase tensor (β) can be employed to determine the dimensional characteristics of underground structures (
FIGURE 4

(A) Phase tensor ellipses filled with the absolute value of skew angle β along the profiles (upper); (B) Phase tensor ellipses in Beiliu M5.2 earthquake region filled with the absolute value of skew angle β for six periods (bottom). The names of faults, city, BBM, YKMA, and MMB are consistent with those in Figure 1.
3.3 Analysis of regional electrical differences
The geometric mean of the maximum and minimum phases in the phase tensor (i.e., the phase tensor invariance) is used as a parameter to measure the trend of resistivity with depth (
FIGURE 5

(A) Phase tensor ellipses filled with the phase tensor invariant along the profiles (upper); (B) Phase tensor ellipses in Beiliu M5.2 earthquake region filled with the phase tensor invariant for six periods (bottom). The names of faults, city, BBM, YKMA, and MMB are consistent with those in Figure 1.
4 Three-dimensional inversion
Among the 101 survey points obtained along the BL-MM-P profile and the Beiliu earthquake region, the effective frequency band of most of the survey points was 320 Hz to 5,500 s. The outliers, or disturbed data, of each survey point were added with errors to reduce their weight in the inversion. The ModEM (
The three-dimensional inversion was carried out in two steps. First, the BL-MM-P profile and 92 survey point data in the Beiliu earthquake region were integrated at an interval of 2 km to perform a three-dimensional inversion. The size of the SN and EW horizontal grid in the central area of the dataset was 2 km × 2 km, and the number of grids was 40 × 58. There were ten expanded grids with a scale factor of 1.5 in each of the four directions outside the central area, and the final number of grids was 60 × 74. The thickness of the first layer of the vertical grid was 20 m, and the grid thickness increased in different proportions in downward segments. The growth factors within 0.5, 0.5–1, 1–15, 15–150, and 150–500 km were 1.2, 1.1, 1.05, 1.1, and 1.2, respectively. Finally, a total of 87 layers were divided (Figure 6). A uniform half space of 500 Ω·m was employed as the initial model. The automatically updated regularization factor was adopted. The initial value of the regularization factor was 5,000. When the inversion was no longer convergent, the regularization factor was updated to one-tenth of the initial value to continue the inversion. After 90 iterations of inversion, the root mean square error (RMS) of the model was 2.51 (Supplementary Figure S2.1). The responses obtained by the three-dimensional inversion were well consistent with the measured apparent resistivity and impedance phase data (Supplementary Figure S2.2).
FIGURE 6

Grid used for the 3D inversion in the first step; (A) Horizontal grid; (B) Horizontal grid of central part; (C) Vertical grid; The red dotes denote MT stations.
Second, the inversion of the electromagnetic array in the Beiliu earthquake region was performed. The area contained 76 survey points with a spacing of about 1 km. The size of the SN and EW horizontal grid in the central area of the dataset was 0.6 km × 0.6 km, and the number of grids was 40 × 58. There were 10 expanded grids with a scale factor of 1.5 in each of the four directions outside the central area. The final number of grids was 60 × 74. The vertical grid division was consistent with the large area (Figure 7). Using the model obtained in the first step as the initial model, after 90 iterations of inversion, the RMS of the model was 1.79 (Supplementary Figure S3.1). The responses obtained by the three-dimensional inversion were well consistent with the measured apparent resistivity and impedance phase data (Supplementary Figure S3.2). To assess the robustness of the major model features, sensitivity tests of C1 and C2 were carried out (Supplementary Figure S4).
FIGURE 7

Grid used for the 3D inversion in the second step; (A) Horizontal grid; (B) Horizontal grid of central part; (C) Vertical grid; The red dotes denote MT stations.
5 Deep electrical structure of YKMA and Beiliu earthquake region
The deep electrical structure along the BL-MM-P profile is depicted in Figure 8. The depth of Moho near the profile is about 29.5 km (
FIGURE 8

(A) Geological cross-section along the BL-MM-P; (B) Electrical structure obtained from 3D inversion of the BL-MM-P. The white dotted lines indicate the inferred extension pattern of the faults in the crust, and the black dotted line indicates the buried depth of the Moho surface along the MT profile. The names of faults, city, BBM, YKMA, and MMB are consistent with those in Figure 1.
Figure 8 shows that there are differential zones with high and low resistances in the lower parts of HBf2 and MMf, representing the main tectonic boundary. The electrical difference zone extends shallowly below LXf2. Accordingly, the deep and shallow electrical structures along the profile can be divided into three segments bounded by HBf2 and MMf. In the northwest of HBf2 in the BBM in the northwest section of the BL-MM-P profile, a high-resistance layer is covered at a depth of 1 km, corresponding to the Paleozoic glutenite, sandstone, and shale. The downward zone is a low-resistance zone (C1) inclined to SE with a resistivity of 100–300 Ω·m, which gradually deepens to below 10 km and is buried under the high resistivity body (R1) in the upper crust of YKMA. The YKMA in the middle section of the BL-MM-P profile is dominated by Precambrian shallow metamorphic folded basement and multistage granitoids. From the shallow surface to the depth of about 20 km, there is a high-resistance body (R1) with a resistivity of thousands or even ten thousands of Ω·m. It covers a wide area in the NW-SE direction between HBf2 and MMf. From the depth of 20 km to the Moho surface, the resistivity decreases to about 1,000 Ω·m (R2). The high-sub-high-resistance structure (R1 and R2) is like a “mushroom” that is wide at the top and narrow at the bottom. The upper high-resistance body (R1) and the lower sub-high-resistance body (R2) are intertwined. The top surface of R2 is undulating like a “hump.” The XFf is located near the “hump”-shaped uplift, where the top surface of the sub-high resistance body (R2) is uplifted to a shallow depth of 13 km. The epicenter of the 2019 Beiliu M5.2 earthquake was located near the high- and low-resistance boundary in the high-resistance area towards the northwest. In the MMB of the southeast section of the BL-MM-P profile, within a depth of about 1 km, there is a low-resistance layer with a resistivity of several hundreds of Ω·m, corresponding to the Quaternary and Cretaceous sandstone and siltstone. The 1–3 km depth is dominated by a medium resistivity layer with a resistivity of about 1,000 Ω·m. The resistivity decreases to several hundreds of Ω·m below 3 km.
To observe the more detailed characteristics of the deep resistivity structure in the Beiliu earthquake region, the cross sections at six depths and the deep electrical structure profile in the NE and NW directions were drawn (Figure 9). According to the cross sections, the ultra-high-resistance block (R1) is located to the west of XFf at the depth of less than 3 km, and its resistivity reaches ten thousands of Ω·m, which is attributed to the widely distributed intrusive rocks in the earthquake region. The northeast and southwest corners of the study area displayed sub-high resistivity, which may be related to the sandstone and siltstone existing in small basins along LXf2 and SMTf. At the depth of 4–10 km, the ultra-high resistivity structure almost covers the whole study area. At the depth of 10–14 km, the ultra-high resistivity body (R1) still exists in the Beiliu earthquake region and the northwest side, while the southeast side of the earthquake region shows a sub-high resistivity structure (R2), with a resistivity close to 1,000 Ω·m. From the NW- and NE-trending profiles, it can be seen more clearly that R1 is deeper in the northwest of the Beiliu earthquake region and shallower in the southeast. The NW-trending profile suggests that R1 is deeply buried in the northwest of the epicenter, and the top interface of R2 in the southeast is convex, just like the “hump” shape in Figure 8B. In the NW- and NE-trending profiles, there is no significant difference between the deep electrical structure of MSF and XFf. The area where MSF and XFf meet but do not intersect in the upper crust is a completely rigid high-resistance body, but the middle and lower crustal materials below XFf show obvious upward convexity.
FIGURE 9

Mapview (A) and cross sections (B) of the electrical structure beneath the Beiliu earthquake region. The names of faults, city, BBM, YKMA, and MMB are consistent with those in Figure 1.
6 Discussion
The large brittle-ductile shear zones near paleo-orogenic belts and the boundaries of active plates or blocks are generally the products of the oblique convergence of plates or blocks, and they play a significant role in regulating the tectonic deformation between plates or blocks (
The studies on focal mechanism solution (
FIGURE 10

(A) Three-dimensional structure of BL-MM-P; (B) Hainan mantle plume modified from
The seismogenic structure and environment of the Beiliu earthquake are similar to those of the 1998 Zhangbei M6.2 earthquake in the Zhangbo seismic belt of North China. The Zhangbei earthquake occurred in the Hannuoba high-resistance basalts (
7 Conclusion
According to the data of 101 broadband MT survey points in the hinterland of YKMA in South China and based on the 2019 Guangxi Beiliu M5.2 earthquake area, the deep electrical structure images were obtained by three-dimensional electromagnetic inversion imaging. The results indicated that there are low-resistance zones on the East and West sides of YKMA, corresponding to the deep extension of the Wuchuan-Sihui and Hepu-Beiliu brittle-ductile shear zones, respectively. The deep part of the hinterland of YKMA is characterized by a mushroom-shaped electrical structure composed of ultra-high resistance (R1) and sub-high resistance (R2) bodies. We speculated that this has likely resulted from the brittle-ductile shearing of the boundary zone and the oblique upwelling of the mantle-derived materials in the Leiqiong area. The top interface of R2 is undulating like a “hump.” The 2019 Beiliu M5.2 earthquake occurred near the boundary between high resistance and low resistance in the sub-high resistance uplift and was inclined to the northwest high-resistance body.
The brittle-ductile shearing of the boundary fault zone of YKMA and the deep mantle-derived magmatic action provide the dynamic source for the activation of fault structures and seismic activities in YKMA. Local stress and strain accumulations are easy to occur in the brittle high-resistance body (R1). When the conditions for rock fracture and instability were reached, the pre-existing or newly formed NW-trending faults would exhibit dextral strike-slip dislocation, and the near SN-trending faults would show sinistral strike-slip dislocation. No fault outcrop was found near the epicenter of the Beiliu M5.2 earthquake, thus, we speculated that the earthquake was caused by the new fracture in the conjugate tectonic area. The occurrence of moderate and strong earthquakes in YKMA may be attributed to the brittle-ductile shear of the boundary fault zone as well as the deep mantle-derived magmatic activity, which is of great significance for the understanding of the genesis of intraplate earthquakes in South China.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
Author contributions
CY, SL, BZ, YZ, XS, XL, and SS completed the field data acquisition, and the data analyses, and wrote the article. BZ, CY, and SL provided funding for the study. XL, FL, and LZ assisted in data acquisition. All authors contributed to the manuscript revision and discussion and approved the submitted version.
Funding
This paper was supported by the Guangxi Scientific Research and Technology Development Plan Project (1377002, 14124004-4-8), Earthquake Prediction Open Fund Project (2021EF0F02), and Science for Earthquake Resilience (XH22004YA) of China Earthquake Administration.
Acknowledgments
We appreciate the access to the computing resources of the Computer Network Information Center at the Institute of Geology, China Earthquake Administration. Some figures were prepared using GMT (
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.2023.1078796/full#supplementary-material
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Summary
Keywords
Yunkai magmatic arc in South China, three-dimensional magnetotelluric imaging, resistivity structure, 2019 Beiliu earthquake, deep seismogenic environment
Citation
Yan C, Li S, Zhou B, Zhan Y, Sun X, Liu X, Su S, Liang F and Zhao L (2023) Deep electrical structure of the hinterland of Yunkai magmatic arc in South China and the seismogenic environment of the 2019 Beiliu earthquake. Front. Earth Sci. 11:1078796. doi: 10.3389/feart.2023.1078796
Received
24 October 2022
Accepted
10 January 2023
Published
26 January 2023
Volume
11 - 2023
Edited by
Giovanni Martinelli, National Institute of Geophysics and Volcanology, Italy
Reviewed by
Vlad Constantin Manea, National Autonomous University of Mexico, Mexico
Rolando Carbonari, Hebrew University of Jerusalem, Israel
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© 2023 Yan, Li, Zhou, Zhan, Sun, Liu, Su, Liang and Zhao.
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*Correspondence: Bin Zhou, dztzb@163.com; Yan Zhan, zhanyan66@vip.sina.com
† These authors have contributed equally to this work and share first authorship
This article was submitted to Solid Earth Geophysics, a section of the journal Frontiers in Earth Science
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