Yuhang Li’s research while affiliated with China Earthquake Administration and other places

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Publications (16)


Regional active tectonics map. (a) Gray lines represent major active faults [30]. The red dashed line area indicates the Pull-Apart Basin [31]. Hollow circles represent historical earthquakes [32]. Blue pentagons mark the distribution of GNSS continuous observation profile sites established by the Second Monitoring Center of the China Earthquake Administration across the Laohushan Fault. Red triangles represent GNSS survey stations from the Fifteen Digital Seismic Network Construction Project. The pink triangles denote observation stations from the Crustal Movement Observation Network of China. The blue triangles indicate stations from the National GNSS Geodetic Control Network of China. Green triangles and green squares represent published GNSS observation results. Major fault segments of the Haiyuan Fault are shown as thick solid lines, with the following abbreviations: JQH F., the Jinqianghe Fault; MMS F., the Maomaoshan Fault; LHS F., the Laohushan Fault; HYW F., the western segment of the Haiyuan Fault; HYM F., the central segment of the Haiyuan Fault; HYE F., the eastern segment of the Haiyuan Fault. (b) Details of the solid black line in (a). (c) The orange rectangle in (c) shows our study area.
Time series of GNSS short-baseline horizontal vectors. (a) Eastward horizontal baseline vector; (b) northward horizontal baseline vector.
Baseline component variation time series for the Laohushan Fault; (a) time series of baseline changes parallel to the Laohushan Fault, where Vpa represents the variation rate of the baseline component parallel to the fault; (b) distribution of GNSS stations; (c) time series of baseline changes perpendicular to the Laohushan Fault, where Vpe represents the variation rate of the baseline component perpendicular to the fault. Green points represent the baseline time series across the fault. Blue points represent the baseline time series on the same side of the fault. Red solid lines represent the linear rate of best fit from the least-squares method.
GNSS horizontal velocity field of the Laohushan Fault and surrounding area (relative to the Eurasian reference frame); (a) the pink box indicates the location of the GNSS profile shown in Figure 5; (b) an enlarged view showing the denser GNSS velocity field around the Maomaoshan Fault and Laohushan Fault; (c) the errors associated with common points used in the 200 integration of the published velocity field.
(a,b) display the GNSS velocity components parallel to the fault, with pink squares indicating the data and gray squares representing outliers (which were not used in the inversion). (c,d) show the GNSS velocity components perpendicular to the fault, with similar color coding: pink squares for data and gray squares for outliers. The black dashed lines in (a–d) indicate the position of the fault as determined by inversion, with yellow shading representing the error margin. The 0 km mark denotes the actual fault position. The blue solid lines in (a,b) represent the inverse tangent curves calculated from the fault slip model, where SS denotes the slip rate, D1 indicates the locking depth, CC represents the shallow creep rate, and D2 denotes the creep depth. The gray shading in (c,d) represents the differential motion perpendicular to the fault on both sides. The black solid line shows the actual fault position.

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Quantifying Creep on the Laohushan Fault Using Dense Continuous GNSS
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October 2024

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Yuhang Li

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The interseismic behavior of faults (whether they are locked or creeping) and their quantitative kinematic constraints are critical for assessing the seismic hazards of faults and their surrounding areas. Currently, the creep of the eastern segment of the Laohushan Fault in the Haiyuan Fault Zone at the northeastern margin of the Tibetan Plateau, as revealed by InSAR observations, lacks confirmation from other observational methods, particularly high-precision GNSS studies. In this study, we utilized nearly seven years of observation data from a dense GNSS continuous monitoring profile (with a minimum station spacing of 2 km) that crosses the eastern segment of the Laohushan Fault. This dataset was integrated with GNSS data from regional continuous stations, such as those from the Crustal Movement Observation Network of China, and multiple campaign measurements to calculate GNSS baseline change time series across the Laohushan Fault and to obtain a high spatial resolution horizontal crustal velocity field for the region. A comprehensive analysis of this primary dataset indicates that the Laohushan Fault is currently experiencing left-lateral creep, characterized by a partially locked shallow segment and a deeper locked segment. The fault creep is predominantly concentrated in the shallow crustal region, within a depth range of 0–5.7 ± 3.4 km, exhibiting a creep rate of 1.5 ± 0.7 mm/yr. Conversely, at depths of 5.7 ± 3.4 km to 16.8 ± 4.2 km, the fault remains locked, with a loading rate of 3.9 ± 1.1 mm/yr. The shallow creep is primarily confined within 3 km on either side of the fault. Over the nearly seven-year observation period, the creep movement within approximately 5 km of the fault’s near field has shown no significant time-dependent variation, instead demonstrating a steady-state behavior. This steady-state creep appears unaffected by postseismic effects from historical large earthquakes in the adjacent region, although the deeper (far-field) tectonic deformation of the Laohushan Fault may have been influenced by the postseismic effects of the 1920 Haiyuan M8.5 earthquake.

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Extraction and Identification of Transient Deformation after the Ludian Earthquake

June 2024

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70 Reads

This paper investigates the transient deformation signals associated with the Ludian M6.8 earthquake that occurred on June 22, 2014 in West-South of China, using Global Navigation Satellite System (GNSS) data. Principal Component Analysis (PCA) was employed to extract the top four Principal Components (PCs) from the First-Order-Gauss-Markov (FOGM) time series. The spatiotemporal characteristics of these PCs were analyzed, revealing a spatiotemporal correlation associated with the Ludian earthquake. Statistical methods were then used to fit the decay characteristics of the spatial response of transient deformation, enabling the analysis of the spatial evolution pattern of transient deformation. Additionally, the spatial distribution pattern of transient deformation was analyzed in conjunction with the co-seismic mechanism, further confirming the transient deformation signal. The key findings of the study are as follows: 1. The spatiotemporal characteristics of the PC2 for East-West component and the PC1 for North-South component exhibit a "Stable-Accelerated-Recovery" pattern consistent with the Ludian earthquake, indicating that these two PCs represent transient deformation signals associated with the earthquake. 2. The spatial response values of the transient deformation signals decay with increasing epicentral distance, further verifying the correlation between the extracted PCs and the Ludian earthquake. 3. The spatial distribution pattern of post-seismic transient deformation is consistent with the co-seismic deformation field, indicating that post-seismic transient deformation is a continuation of the stress state change caused by the earthquake and represents the persistent deformation and displacement of the surface after the earthquake. These findings demonstrate the effectiveness of PCA in identifying transient deformation signals associated with earthquakes and provide new insights into the study of post-seismic deformation mechanisms. The study also highlights the importance of considering potential limitations of PCA and the presence of non-linear components in GNSS data when interpreting the results.


Strain partitioning, transfer and implications for the ongoing process of intracontinental graben formation in the northwestern margin of the Ordos block, China: insights from densified GNSS measurements

June 2024

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79 Reads

Geophysical Journal International

The northwestern margin of the Ordos block is structurally separated by the Yinchuan–Hetao graben system. As one of the most active intracontinental graben systems within the Eurasian continent, its kinematic pattern of crustal extension is crucial for unraveling the ongoing processes of intracontinental graben formation, while it remains unclear principally due to a lack of geological constraints on crustal deformation. We obtained and analysed a densified GNSS (Global Navigation Satellite System) velocity field in this region. Our results suggest that the western margin of the Hetao graben exhibits the NW-directed crustal extension (∼ 1.1 mm yr−1), which can be attributed to the conjugate transtension resulting from the left-lateral motion along the E–W-trending northern boundaries of the Alashan and Ordos blocks, as well as the right-lateral motion along the N–S-trending western margin of the Ordos block. Additionally, in response to the NE-directed extrusion of the Tibetan Plateau, the Alashan block undergoes approximately NE-directed contraction (4.9 ± 1.1 nanostrain yr−1) and NW-directed extrusion (2.8 ± 0.8 nanostrain yr−1), which vacates space for the crustal extension of the Yinchuan graben with a rate of 0.9 ± 0.1 mm yr−1. Although it is challenging to determine whether the left-lateral motion (approximately 1 mm yr−1) along the E–W-trending Hetao graben is the far-field effect of western Pacific subduction, the gradual decrease in right-lateral motion from the N–S-trending western margin of the Ordos block toward the north side of the Yinshan Orogen manifests the far-field effect of the Indo-Eurasian plate convergence extending into the Mongolian Plateau.



Figure 6. Comparison between observed GPS velocity (blue arrow) with its corrected results (red arrow) after eliminating elastic deformation of Fig. S7 under different reference frames. (a) Velocities are with respect to the stable South China block. (b) To further clearly display the discrepancies between observed GPS velocity (blue arrow) and relative corrected results (red arrow), the velocities of (a) are subtracted a constant that equal to the mean of the velocities of 14 GPS sites situated within the Daliang Shan. The mean of the velocities of 14 GPS sites (marked with yellow triangles) consists of eastward and northward velocity components which equal to 2.45 and −2.93 mm yr -1 , respectively. The error ellipse represents 95 per cent confidence. The box of (a) shows the location of the GPS profile of Fig. 11.
Figure 10. Conceptual cartoon diagram showing a pattern of faulting and crustal deformation for the area between the SE Tibetan Plateau (the ChuanDian block; Zhang et al. 2003) and the Sichuan Basin (the South China block). The gradient changing from red to white colours represents the leftlateral shearing zone with the southeast direction referring to Fig. 11. Fault abbreviations are given in Fig. 1.
Figure 11. GPS velocity component in the S162 • E direction parallel to the general strike of the left-slip Daliangshan and Mabian-Yanjin faults. This shows that a left-lateral shear zone (red gradient of the delta-shaped region) situated in the Mabian-Lianfeng block. We eliminate nine velocities with large errors (≥1.0 mm yr -1 ) and four velocities as outliers (light pink squares with purple error bar) to conduct the linear regression. The solid black line denotes the result of linear regression constrained with the velocities west of the Mabian-Yanjin Fault. The dashed black line with black shadow in the horizontal direction represents the fixed frame of the stable Sichuan Basin. The profile location is shown in Fig. 6(a). The Purple shadow highlights the location of the Mabian-Yanjin Fault (MB-YJ F.).
Present‑day crustal deformation across the Daliang Shan, southeastern Tibetan Plateau constrained by a dense GPS network

October 2022

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546 Reads

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11 Citations

Geophysical Journal International

The Daliang Shan is a tectonic unit that connects the active southeastern Tibetan Plateau with the stable South China block. As a newly generated (formed later than the Xianshuihe–Xiaojiang active fault system) seismotectonic zone induced by the Tibetan tectonics, the detailed constraints of the crustal deformation are central to the understanding of the kinematics and dynamics of the Tibetan expansion. This paper establishes and analyzes a high–spatial resolution global positioning system (GPS) velocity field from a dense GPS network in this region. Our modeling results indicate that, in contrast to the equivalent sinistral strike–slip rate of approximately 5 mm/yr on the Anninghe–Zemuhe and Daliangshan faults, their inferred interseismic locking depth varies within a large range. The southern segment of the Anninghe Fault and the middle segment of the Daliangshan Fault have deep locking depths of ∼13 km, indicating that the seismic risk is high in these areas. In addition, the detectable counterclockwise rotation rate of 0.35 ± 0.12°/Myr of the Mabian block makes a significant contribution of ∼50 per cent to the strike–slip motion on its boundary faults. This counterclockwise rotation may be induced by a left-lateral shear gradient with SE-ward motion relative to the South China-fixed reference frame, indicating the significance of a simple-shear pattern in exploring the kinematics of the encroachment of the Tibetan tectonics upon a stable block (craton).


Active crustal deformation model of the Fen–Wei rift zone, North China: Integration of geologic, geodetic, and stress direction datasets

July 2022

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186 Reads

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4 Citations

The Fen–Wei rift zone (FWRZ) of North China is an important zone of active crustal deformation representing a transition from extrusion tectonics related to the Tibetan Plateau to subduction tectonics related to the potential far-field influence of the west Pacific plate. In this study, we determined the kinematic constraints of active crustal deformation in the FWRZ, which are fundamental for forecasting seismicity. NeoKinema, a kinematic finite-element model, was employed to estimate the long-term fault slip rates, distributed crustal deformation field, and on- and off-fault strain-rate fields in the FWRZ by fitting updated geological fault slip rate, geodetic GPS velocity, and principal compressive stress direction datasets. Our results show that the FWRZ is a characteristic low-strain kinematic setting, with most active faults exhibiting slip rates of less than 1 mm/a. The total sinistral shear rate from the southern Ordos block to the Qinling Mountains is approximately 1 mm/a, indicating limited tectonic extrusion along the EW-trending Qinling Mountains. Additionally, the central Shanxi rift exhibits prominent dextral shear of ∼0.5 mm/a that decreases toward its north and south ends, corresponding to crustal extension of 1.1–1.2 mm/a in the Datong and Yuncheng basins, respectively. However, this significant crustal extension cannot be solely attributed to terminal effects caused by dextral shear in the central Shanxi rift. A comparison between predicted seismicity and historical earthquake records reveals some remarkable seismic gaps, particularly in the Datong, Hancheng, and Yuncheng basins, indicating higher seismic potential in these locations. This study provides insights into the long-term crustal deformation processes and regional seismic potential of the FWRZ.


Fig.2 GPS velocity field and leveling route. The blue arrow denote GPS velocity vector with respect to the regional South China block with 1σconfidence level, green dots represent leveling routes shown in Fig. 5, and red rectangles denote two GPS profiles shown in Fig. 4. 1.2 水准数据及其处理方法 本研究收集整理了 1970-2014 年穿过震中的一条长约 330 km 的水准测线(图 2),均按照 国家一等水准测量规范开展了 3-8 期重复观测。 利用水准数据获取地壳垂直运动速率的方法都是 基于线性速率模型,即地壳的垂直运动速率是恒定的,得到的结果也只能是几十年时间尺度上的 一种总的趋势或平均运动的定量描述。因此,我们以相邻水准点之间的测段高差作为观测值,基 于动态线性平差模型,以河西走廊内的水准点(测线最北端)为参考基准,估计出各水准点相对 河西走廊的垂直运动速率。平差计算得到的验后单位权中误差为 0.96 mm/km,也就是说采用线 性速率模型,平差后得到的一等水准测量每公里高差中误差为 0.96 mm,这与我国精密水准测量 规范规定的一等水准测量每公里高差测量全中误差 1.0 mm 一致,说明线性速率模型的模型误差 较小,估计出的垂直运动速度是可靠的。 1.3 水平应变率场 为了获取可靠的水平应变率场,本文使用了基于中位值滤波的 MELD(Median Estimation of Local Deformation)应变率场稳健计算方法(Kreemer et al., 2020, 2018)。在球面坐标系下,速度场
Fig.4 The same as Fig. 3, except that the duration of strain rate field is between 1999 and 2016.
Fig. 5 The same as Fig. 3, except that the duration of the strain rate is between 2016 and 2019.
Fig.7 Leveling profiles across the central and eastern Qilianshan fault zone (dots with gray bars) with 1σ confidence level and topography (bold gray line). TLSF: Tuolaishan fault, MLDF: Minle-Damaying fault, MYF: Menyuan fault, SNQLF: Sunan-Qilian fault. The fault data are collected from Liu et al. (2021), Hu et al. (2021)
Three-dimensional crustal deformation and strain partitioning before the Ms 6.9 Qinghai Menyuan earthquake on January 8, 2022

May 2022

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205 Reads

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2 Citations

Chinese Journal of Geophysics

The Ms 6.9 Qinghai Menyuan earthquake occurred on Jan. 8, 2022, was located in the central to eastern segment of the Qilianshan fault zone. However, the 3D crustal deformation and seismic potential in this region were poorly studied to date. We here determine the fault slip rate, and analyze 3D crustal deformation field and seismic potential before this event based on the high-accuracy GPS and leveling observations. The results show that: ① the crustal deformation field in this area is mainly featured by strong shear and contraction, with the latter accommodated by vertical crustal uplift. ② the sinistral, contraction and vertical rates of the Tuolaishan fault are 2.5±0.3 mm/yr, 1.3±0.4 mm/yr and 1.2±0.6 mm/yr , which are larger than the rates of the Minle-Damaying fault of 1.1±0.3 mm/yr, 0.8±0.3 mm/yr, and 0.5±0.5 mm/yr , respectively. The sinistral and contraction rates of the Lenglongling fault are 3.1±0.7 mm/yr and 3.0±0.6 mm/yr. Combined with strain rate field, we suggest that upper crust in this region is characterized by distributed deformation.③the significant accumulation of shear and compressional strain in the hypocentral region and negligible vertical deformation in the south of the Tuolaishan and Lenglongling faults before this earthquake indicate increase of the strain rate, in which part of the compressional strain was released by the 2016 Ms6.4 Menyuan earthquake. GPS profile shows the clear interseismic locking along the Tuolaishan fault with a locking depth of 15.0±7.8 km. We therefore suggest that this region has a high seismic potential.


Interseismic fault slip deficit and coupling distributions on the Anninghe-Zemuhe-Daliangshan-Xiaojiang fault zone, Southeastern Tibeatan Plateau, based on GPS measurements

July 2021

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328 Reads

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21 Citations

Journal of Asian Earth Sciences

The Anninghe-Zemuhe-Daliangshan-Xiaojiang (AZDX) fault zone is an important boundary between the South China block and southeastern (SE) Tibetan Plateau. Its strong earthquake potential has been highly concerned, because remarkable left lateral strike-slip motion has been observed in this fault zone. Using the linear spherical block model constrained by a refined GPS horizontal velocity field, we have derived the detailed partial slip deficits and the coupling fraction distributions along AZDX fault zone, as well as self-consistent long-term slip rates on major active faults in SE Tibetan Plateau. Our results identified three remarkable slip deficit regions with high fault coupling fractions (0.6-1.0), including the southern segment of the Anninghe Fault (north of Xichang), the southern segment of the Daliangshan Fault (Butuo-Qiaojia), and southern terminus of the Xiaojiang Fault. These regions spatially coincide with the seismic gaps inferred from the spatiotemporal distributions of historical earthquake ruptures and paleoearthquake surveys, jointly implying their higher strong earthquake potential. Furthermore, combining with analyses of GPS data, previous geological and numerical simulation studies, we tentatively discussed the possible effect range of the Burma arc tectonic domain.


Active crustal deformation in the Tian Shan region, central Asia

April 2021

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145 Reads

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21 Citations

Tectonophysics

The Tian Shan mountain ranges in central Asia are one of the largest and most active intracontinental orogenic belts in the world. Its Cenozoic reactivation and deformation manifest the far-field impact of the Indian-Eurasian continental collision. How the collision-induced crustal shortening is accomondated in the Tian Shan region, however, remains debated. Some of the shortening is clearly accommodated by the piedmont fold-and-thrust belts; but the role of deformation in the interior of the orogen, and the overall pattern of crustal deformation in the Tian Shan region, differs in previous studies. We have used NeoKinema, a kinematic finite-element computer code, to analyze the long-term average rates of strain and its partitioning in the Tian Shan region. The model is constrained by updated kinematic data sets, including fault traces, geological fault slip rates, GPS site velocities, principal stress directions, and kinematic boundary conditions. Our results indicate that, in addition to shortening in the piedmont fold-and-thrust belts, significant shortening and strike-slip faulting have occurred in the interior of the Tian Shan orogen. The intra-orogen strain is concentrated north of the Nalati Fault, around the intramontane basins. The overall pattern of crustal deformation in the Tian Shan region is pure shear shortening, facilitated by NEE-trending sinistral and NW-NWW trending dextral strike-slip faults that cut across the mountain ranges. We also calculated the long-term potential of seismicity in the region and compared it with eartrhquake records.


(a) Tectonic map and GPS stations in and around the Ordos block. The white rectangle in (b) shows the location of the study area. Earthquake catalogs are from the China Earthquake Data Center (http://data.earthquake.cn). Abbreviations: Alxa block (ALB), East Kunlun fault (EKF), Haiyuan fault (HYF), Liupanshan fault (LPSF), Niushoushan fault (NSSF), North China block (NCB), Northeast Asia block (NEAB), Ordos block (OB), Qinling orogen (QLO), Qinling Piedmont fault (QLPF), South China block (SCB), Taihangshan block (TSB), Taihangshan Piedmont fault (THSPF), Tibetan Plateau (TP), West Qinling fault (WQLF), Xiangshan‐Tianjingshan fault (XSTJSF), and Yanshan‐Yinshan mountains (YYM).
GPS velocity field with respect to the Ordos block. Profiles A, B, C, and D are in directions of S80°E, S25°E, N‐S, and N40°E, respectively. Error ellipses denote 1σ uncertainties. Green regions indicate the grabens around the Ordos block.
Strain rate fields for the Ordos block. (a) Spatial resolution shown as the radius of a circle with the same area of the median area of all triangles used to estimate the strain rate. (b) Principal strain rate and the maximum shear strain rate. (c) Dilatation rate (with negative contraction). (d) Rotation rate (with positive clockwise motion). The names of tectonic structures are shown in (c). Abbreviations: Haiyuan fault (HYF), Hetao graben (HTG), Jilantan graben (JLTG), Longxi block (LXB), Ordos block (OB), Shanxi graben (SXG), Taihangshan block (TSB), Weihe graben (WHG), West Qinling block (WQB), Xiangshan‐Tianjingshan fault (XSTJSF), and Yinchuan graben (YCG).
(a) Block motion model results and (b) schematic cartoon showing the deformation pattern of the Ordos block. In (a), the red vectors, blue fan shapes, black cross arrows, and dark red vectors indicate translation, rotation, internal principal strain rate, and post‐fit residual within each block, respectively. Thick gray lines indicate the block boundaries.
“Frame Wobbling” Causing Crustal Deformation Around the Ordos Block

January 2021

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436 Reads

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42 Citations

Plain Language Summary The Ordos block connects the Tibetan Plateau and North China plain and experiences complex tectonic movements. The interior of the Ordos block has insignificant seismic activity and differential movements, but its surrounding grabens and active faults undergo intense seismic activity and deformation. Investigating the deformation of the Ordos block is essential for deciphering the interactions between active tectonic blocks, determining the mechanisms of large earthquakes, and understanding the dynamics of continental deformation. In this study, a dense GPS velocity field in and around the Ordos block was used to determine the kinematics of the Ordos block. Our results indicate that the Ordos block behaves rigidly, with negligible anticlockwise rotation. The deformation pattern of the Ordos block is illustrated by the “frame wobbling” model, wherein the deformation or strain is located along the peripheral boundaries of the block, while little strain is located in its interior. The forces that cause this “frame wobbling” come from the movements of the adjacent blocks with respect to the Ordos block. This “frame wobbling” deformation style may be typical for intracontinental deformation.


Citations (13)


... However, PCA is insufficient at revealing all structures in the data and cannot guarantee the statistical independence of the source signals. Independent Component Analysis (ICA), on the other hand, imposes the restrictions that the data along reduced dimensions be statistically independent [18]. PCA based thermography named Principal Component Thermography (PCT) and ICA based thermography named Independent Component Thermography (ICT) have been explored in numerous works in the field of NDT&E to minimize the influence of noise on captured thermal sequence and thus mitigate the influence of low contrast on the captured thermograms [19][20][21][22][23]. Ebrahimi et al [24] recently proposed Robust Principal Component Thermography (RPCT) on PT data that is typically corrupted by noise and outliers, showing improved defect detectability over standard PCT. ...

Reference:

Applications of independent component thermography for testing and evaluation of glass fibre reinforced polymer materials
Extraction of transient signal from GPS position time series by employing ICA
  • Citing Article
  • June 2023

Geodesy and Geodynamics

... Since the early days of plate tectonics, deformation has been described by the motion of a number of blocks, or microplates (Avouac & Tapponnier, 1993;McKenzie, 1972), although a growing body of evidence has highlighted the limitations of this plate tectonic approximation (e.g., Gordon, 2023). In applying plate tectonics to continental regions, the trend in block models has been to increase the number of blocks to explain more GNSS velocities as they become available (Q. Chen et al., 2004;Li, Shan, et al., 2023;Li, Song, et al., 2023;Loveless & Meade, 2011;Meade, 2007;Shen et al., 2005;Styron, 2022;Thatcher, 2007;W. Wang et al., , 2021. ...

Present‑day crustal deformation across the Daliang Shan, southeastern Tibetan Plateau constrained by a dense GPS network

Geophysical Journal International

... Modern geodetic monitoring (especially GPS monitoring) is an effective and widely method used to recognize ongoing crustal movements. It can be applied to obtain the fault slip rate, locking depth, and strain field, which provide information on the earthquake cycle stage of the fault (Segall and Davis, 1997;Meade and Hager, 2005;Vigny et al., 2005;Papanikolaou et al., 2005;Huang et al., 2019;Chen et al., 2020;Li et al., 2021;Song et al., 2022). Numerous high-resolution analyses of geodetic observations along the active fault have been conducted to identify any Tectonic setting of the North Qinling Fault and of the Weihe Basin. ...

Active crustal deformation model of the Fen–Wei rift zone, North China: Integration of geologic, geodetic, and stress direction datasets

... The best-fitting dips for two segments are approximately vertical (88°). In agreement with the focal mechanism solutions, the slip on the LLLF rupture segment is purely left-lateral striking-slip motion with a maximum slip of 2.90 m, which is consistent with the results from Li et al. (2022) and Yu et al. (2022). On the TLSF rupture segment, another asperity with a small slip magnitude is found. ...

Three-dimensional crustal deformation and strain partitioning before the Ms 6.9 Qinghai Menyuan earthquake on January 8, 2022

Chinese Journal of Geophysics

... Given the relative softness of the middle crust, this mechanism likely concentrates stress within the brittle upper crust, thus playing a pivotal role in facilitating the Luding earthquake (Jamtveit et al., 2018;Taymaz et al., 2022;Zhang, L. et al., 2023). The estimated slip rate of the Moxi fault, at 9 * 11.5 mm/yr, is marked by high coupling ratios and low b-values (Zhao, J. et al., 2015;Cheng et al., 2020;Li, Y et al., 2021). In comparison, adjacent faults such as the Longmenshan, Daliangshan, and Anninghe faults exhibit lower slip rates-approximately 2 mm/yr, 6.5 mm/yr, and 7.4 mm/yr, respectively (Densmore et al., 2007;Li, Y et al., 2021). ...

Interseismic fault slip deficit and coupling distributions on the Anninghe-Zemuhe-Daliangshan-Xiaojiang fault zone, Southeastern Tibeatan Plateau, based on GPS measurements

Journal of Asian Earth Sciences

... This thrust zone is frequently treated as the main element in the Tien Shan dislocation system (Makarov et al., 2010). At the same time, detailed surveys have shown that considerable shortening and shear deformation are also taking place within the Tien Shan mountain range (Li et al., 2021). The Aykol earthquake occurred in an area of the northeastern branch of the Maidantag fault zone (see Fig. 1, red lines). ...

Active crustal deformation in the Tian Shan region, central Asia
  • Citing Article
  • April 2021

Tectonophysics

... In the late Cenozoic, the pre-existing zones of weakness within the CNCC were extended by transtensional shear, ultimately evolving into the Shanxi Rift, exemplified by the northernmost Datong Volcanoes. Extensive research including geodetic measurements, geological observations, and apatite fission track data indicate that the formation process of the Shanxi rift is associated with the far-field effect of the India-Eurasia Plate convergence (e.g., Hao et al., 2021;Li et al., 2022;Peltzer et al., 1985;Su et al., 2021;Tapponnier & Molnar, 1976;Wang et al., 2022;Xu & Ma, 1992;Yin, 2010;Zhang et al., 1995Zhang et al., , 1998. Functioning as the transition zone between the stable western NCC (WNCC) and the reactivated ENCC, the CNCC is subject to the converging influences of westward subduction of the Pacific Plate and far-field effect of the northeastward expansion of the Tibetan Plateau. ...

“Frame Wobbling” Causing Crustal Deformation Around the Ordos Block

... Additionally, noise time series from adjacent continuous observation stations tend to have similar spectral characteristics [34], allowing short-baseline double-difference solutions to cancel out or suppress such noise effectively. Consequently, GNSS short-baseline double-difference solutions offer superior accuracy and reliability in crustal deformation monitoring compared to long-baseline solutions [33,35]. ...

Present-Day Crustal Deformation Within the Western Qinling Mountains and Its Kinematic Implications

Surveys in Geophysics

... Enhanced geophysical models can yield more accurate representations of subsurface conditions, thus aiding in the development of effective safety measures [6]. Furthermore, integrating geophysical exploration with remote sensing, seismic monitoring, and numerical modeling provides a more comprehensive understanding of Goaf behaviour and potential hazards [7]. Emerging technologies such as artificial intelligence and machine learning offer additional opportunities to analyse large datasets and improve predictive accuracy. ...

The modulation of groundwater exploitation on crustal stress in the North China Plain, and its implications on seismicity
  • Citing Article
  • November 2019

Journal of Asian Earth Sciences

... After a preliminary check, 37 stations were removed because they were characterized by a limited temporal coverage of raw data (less than 2.5 years), while the remaining stations were processed by using the GAMIT/GLOBK v.10.7 software [85], following the standard approach described in Billi et al. [86], in order to estimate a consistent set of positions and velocities in a fixed ITRF14 reference frame [87]. To enhance the spatial density of the geodetic velocity field across the studied area, the obtained solution has been integrated with the solutions reported in the recent literature [88][89][90]. Published solutions were aligned with our solution by determining the Helmert transformation parameters that minimize the root mean square of velocity differences at common sites (e.g., [91]). All sites displaying significant inconsistencies with neighboring stations were removed from the unified velocity field, resulting in a final dataset of approximately 1142 GNSS sites. ...

Crustal movement and strain distribution in East Asia revealed by GPS observations