15 September 2025, Volume 39 Issue 3

    

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  CRUSTAL DISCONTINUITY DEPTH AND MEDIUM WAVE VELOCITY RATIO BENEATH KASHI SEDIMENTARY SEISMIC STATION

  TANG Ming-shuai, LI Yue-shuai, LI Yan-yong, WEI Yun-yun, CAO Chang-jun, Stepanenko Nadezhda, Erkinova Akerke, Valijon Yusupov, Sabitjan Maksudov

  Inland Earthquake. 2025, 39(3): 203-211. https://doi.org/10.16256/j.issn.1001-8956.2025.03.001

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  Based on high-quality teleseismic waveform data recorded over seven years at the Kashi Seismic Station (KAS station), located within a sedimentary layer, high-frequency and low-frequency receiver functions were extracted respectively. The receiver function H-К stacking method without considering sedimentary layer effects and the receiver function sequential H-К stacking method considering sedimentary layer effects were applied to determine the depth of the second intracrustal interface, velocity ratio, and crustal thickness beneath the KAS station. The results incorporating the sedimentary layer influence align with the crustal thickness and crustal velocity ratio values beneath the bedrock Kashi-zhongji Seismic Station (KSZ station), located 8.4 km away. The depth of the second intracrustal interface beneath the KAS station is 13.5 km, with a velocity ratio of 1.96 (Poisson's ratio of 0.324). The crustal thickness is 57.7 km, with a velocity ratio of 1.86 (Poisson's ratio of 0.297). Comparative analysis reveals that applying the receiver function H-К stacking method to seismic stations with significant sedimentary layers can lead to significant deviations in the analysis of intracrustal interface depths and medium velocity ratios. In contrast, the receiver function sequential H-К stacking method yields accurate results. This finding provides valuable practical experience and a methodological basis for accurately analyzing the depths of intracrustal interfaces and medium velocity ratios at other stations situated within sedimentary layers.
  
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  EVALUATING SEISMIC DETECTION CAPABILITIES OF THE SOUTHERN XINJIANG MONITORING CAPACITY IMPROVEMENT PROJECT BASED ON PMC METHOD

  ZHANG Yong, NAN Fang-fang

  Inland Earthquake. 2025, 39(3): 212-221. https://doi.org/10.16256/j.issn.1001-8956.2025.03.002

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  In order to accurately obtain the effect of the Xinjiang Qinghai-Tibet Plateau monitoring capacity improvement project on the actual improvement of monitoring capabilities in the southern region of the Xinjiang seismic network (Central Kunlun-Aerjin-Luobupo), this study used the "probability-based completeness magnitude" PMC method , calculate the official observation reports of the Xinjiang seismic network before and after the project is completed, and obtain the detection probability and minimum integrity magnitude M_P of the seismic stations in the study area. Through analysis, the following conclusions are drawn: the detection probability of a single station can truly represent the station's detection ability of earthquake events, and there is a significant difference; M_P shows that the Qinghai-Tibet Plateau Monitoring Capacity Improvement Project has significantly improved the regional earthquake monitoring capabilities in southern Xinjiang. The overall average improvement in the region is about 0.5 to 1 level, but there are regional imbalances. The research results can provide some reference for further improving the earthquake monitoring capabilities in southern Xinjiang, optimizing the spatial layout of the network, and improving the operation quality of the stations.
  
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  AMPLITUDE CORRELATION COEFFICIENT OF TWO MODERATE STRONG EARTHQUAKES IN XINJIANG ATUSHI, 2023

  MA Qian-wen, SONG Chun-yan, LIU Xuan-rui

  Inland Earthquake. 2025, 39(3): 222-229. https://doi.org/10.16256/j.issn.1001-8956.2025.03.003

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  The correlation coefficient of spectral amplitude is used to study two moderate strong earthquakes in Atushi, Xinjiang in 2023. The results show that the correlation coefficient of spectral amplitude of aftershock series of Atushi M_S5.4 earthquake on November 8, 2023 varies between 0.36 and 0.80, with an average value of 0.51. The amplitude correlation coefficient of the aftershock series spectrum of the Atushi M_S5.5 earthquake on December 19, 2023 varies from 0.68 to 0.82, with an average value of 0.74. After the main earthquake, the correlation coefficient of the amplitude spectrum of the aftershock sequence of the Atushi M_S5.4 earthquake decreased and quickly recovered to about the background value, but the correlation coefficient of the aftershock sequence of the Atushi M_S5.5 earthquake still remained at a high level after the main earthquake. By comparing with the Jiashi M_S6.4 earthquake sequence on January 19, 2020, it was found that When the correlation coefficient of spectral amplitude is at a high level, there is a possibility of moderate-strong earthquake in the future.This method is useful for the subsequent earthquake prediction in the earthquake area and surrounding areas.
  
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  SURFACE DEFORMATION CHARACTERISTICS OF KUQA —SHAYA AREA UNDER JOINT CONSTRAINTS OF InSAR TIMESERIES AND GNSS OBSERVATION

  DENG Ming-wen, QIU Jiang-tao, Ailixiati Yushan, LI Jin, YAO Yuan

  Inland Earthquake. 2025, 39(3): 230-239. https://doi.org/10.16256/j.issn.1001-8956.2025.03.004

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  Kuqa-Shaya area is located in the northern margin of Tarim Basin and belongs to the oil and gas production concentration area. In recent years, the seismic activity in this area has shown a significant increase trend, while the earthquake monitoring capability of the Xinjiang Seismic Network in this region is relatively weak. This article uses Sentinel-1A orbit data from the Kuqa- Shaya region from 2020 to 2022 for time series analysis, and combines GNSS velocity field correction to obtain high-precision and high-resolution inter seismic deformation fields in the entire study area. It further explores the spatial relationship between the distribution of small and moderate earthquakes and deformation fields, and obtains the following understanding: (1) The surface deformation characteristics of the entire Kuqa-Shaya region are mainly subsidence, with an average rate of -2.5 mm·a^-1, and the subsidence rate in some agricultural activity areas reaches -30 mm·a^-1. (2) The Kuqa-Shaya earthquake cluster is not located in a concentrated subsidence area. In 2024, three earthquakes of magnitude 5 occurred in the Yuke gas field area with a subsidence rate of -2.5 mm·a^-1. The changes in the deformation field in this area may be related to oil and gas extraction. From the perspective of deformation, this paper proposes a surface deformation monitoring method suitable for the platform basin area of the Tarim Basin, which improves the seismic monitoring capability of the Xinjiang Seismic Network in the Kuqa-Shaya area.
  
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  ANALYSIS OF SEISMIC MONITORING CAPABILITY OF XINJIANG FIRST-CLASS GRAVITY NETWORK BASED ON FRACTAL THEORY

  ZHENG Wen-ke, CHEN Xiao-ying, HAO Zhuo-ya, HE Zhi-tang, LUO Cheng, ZHAO Pi, KANG Sheng-jun

  Inland Earthquake. 2025, 39(3): 240-244. https://doi.org/10.16256/j.issn.1001-8956.2025.03.005

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  The first-class gravity network in Xinjiang provides the basic results of gravity field for basic surveying and mapping, earthquake research, earthquake prediction and evaluation in Xinjiang. This paper systematically introduces the basic situation of the construction of the first-class gravity network in Xinjiang. The first-class gravity network in Xinjiang comprehensively utilizes the construction results of 2 000 national gravity basic network, China mainland tectonic environment monitoring network, Xinjiang CORS station and other projects to carry out the whole network layout of network type and point position. The high-precision relative gravity measurement method is used to obtain the gravity segment difference between the undetermined points, and the whole network is adjusted by the combination of strong and weak datum. The average mean square error of the final gravity results is ±17.9×10^-8 m·s^-2, and the weakest mean square error is ±30.6×10^-8 m·s^-2. The first-class gravity network in Xinjiang is a typical polygonal structure, and its self-similarity and self-affine (fractal characteristics) are obvious. It is suitable to use fractal theory to analyze and study its characteristics and inhomogeneity. Through calculation, the fractal dimension of the first-class gravity network in Xinjiang is 1.333, which is a low-dimensional network. The corresponding optimal grid spacing is 104 km. According to the relationship between magnitude and time-varying distance, it is evaluated that the first-class gravity network in Xinjiang has the monitoring ability to monitor earthquakes with M_S≥6.0.
  
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  ANALYSIS OF COSEISMIC RESPONSE OF FLUID LEVEL IN SICHUAN DURING QINGHAI MADUO M_S7.4 EARTHQUAKE

  LIANG Hui, HE Si-yuan, ZHANG Ying, WANG Bin, LIAO Shao-huan

  Inland Earthquake. 2025, 39(3): 245-252. https://doi.org/10.16256/j.issn.1001-8956.2025.03.006

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  A comparative analysis was conducted on the co-seismic response characteristics recorded by 24 observation wells in Sichuan Province during the M_S7.4 Qinghai Maduo earthquake. The results show that the co-seismic response characteristics of this earthquake are mainly of the oscillation type, step-up type (oscillation-step up), and step-down type (step-up-step down). The epicentre distance Δ≥840 km and the water level co-earthquake are mainly shake-recovery type. The step-up type and step-down type are mainly distributed within the distance of Δ≤700 km. The negative correlation between the amplitude and duration of water level coseismic response and the epicenter distance is weak, the response time and the epicenter distance are positive, and the seismic energy density of water level is strong. The M_S6.1 earthquake in Lushan County of Ya 'an in 2022 and the M_S5.6 earthquake in Luding in 2023 both occurred in the concentrated area of coseismic magnitude rise, indicating that this co-seismic response characteristic has certain precursory significance and can provide ideas for earthquake.
  
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  GEOMAGNETIC Z COMPONENT BEFORE TAIWAN AND LUDING EARTHQUAKES“DOUBLE LOW POINT”ANOMALY

  GUO Ming-rui, WANG Xi-jiao, LU Jing-hui, LU Qi-ming, PANG Xue-hua, ZHENG Li-dong, GAO Hua-yan, SUN Zong-qiang

  Inland Earthquake. 2025, 39(3): 253-261. https://doi.org/10.16256/j.issn.1001-8956.2025.03.007

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  On September 5,2022 and September 18,2022, strong earthquakes occurred in Luding, Sichuan Province and Hualien, Taiwan, China within 13 days. In order to explore the geomagnetic precursory anomalies before the earthquake, this study systematically analyzed the daily variation patterns of the national geomagnetic station data. The results showed that 55 days before the Luding earthquake (July 12,2022) and 42 days before the Hualian earthquake (August 7,2022), the geomagnetic daily variation patterns were distorted, from the normal ‘V’ type to the ‘W’ type double low point shape. In addition, the anomaly area can be divided into clear dividing lines, and the diurnal phase on both sides of the dividing line has a time difference of about 2 hours. By analyzing the causes of diurnal variation distortion, it is found that this phenomenon is closely related to the abnormal changes of the current system inside and outside the earth, especially the change of the induced eddy current system inside the earth. This distortion may reflect the accelerated evolution of deep tectonic activities during earthquake preparation. The analysis shows that such anomalies have a significant correlation with strong earthquakes and can be used as an important reference index for short-term and imminent earthquake prediction.
  
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  ANALYSIS OF LITHOSPHERIC MAGNETIC FIELD ANOMALIES PRIOR TO TWO M6 EARTHQUAKES IN WEST KUNLUN REGION

  BIAO Qing-quan, YANG Lu-jia, Nalati Bolatihan, ZHANG Zheng, PANG Xin-bai, YANG Fu-xi

  Inland Earthquake. 2025, 39(3): 262-271. https://doi.org/10.16256/j.issn.1001-8956.2025.03.008

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  To investigate the relationship between the lithospheric magnetic field and earthquakes in the west Kunlun seismic zone of Xinjiang, four periods of lithospheric magnetic field variation maps (2013-2014, 2014-2015, 2015-2016, and 2016-2017) were calculated using five years (2013-2017) of mobile geomagnetic vector observation data from the west Kunlun region. Focusing on two representative events—the 2015 Pishan M_S6.5 earthquake and the 2016 Aketao M_S6.7 earthquake—the spatial response patterns of geomagnetic parameters were comparatively analyzed during three phases: 12～3 months pre-earthquake, 0～3 months immediately before the earthquakes, and 6～12 months post-earthquake. The results indicate that various elements of the lithospheric magnetic field exhibited anomalies of varying degrees near the epicenters of both earthquakes. However, the horizontal vector and magnetic field intensity changes shared common characteristics: pre-seismic anomaly accumulation and post-seismic anomaly disappearance.
  
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  CHARACTERISTIC AND ENLIGHTENMENT FOR EARTHQUAKE RESISTANCE AND DISASTER PREVENTION OF GANSU JISHISHAN M_S6.2 EARTHQUAKE

  NAN Yan-yun, FENG Jun, YAN Jin, YANG Huai-ning, LI Jing, DAI Bo-yang, WANG Ying

  Inland Earthquake. 2025, 39(3): 272-278. https://doi.org/10.16256/j.issn.1001-8956.2025.03.009

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  At 23:59 On December 18, 2023, a magnitude 6.2 earthquake struck Jishishan County in Linxia Prefecture, Gansu Province, resulting in significant loss of life and property. This paper utilizes field investigation data to summarize the damage to buildings, seismic geological disasters, and casualties resulting from this earthquake. It analyzes the characteristics and causes of the seismic damage and proposes insights for seismic prevention and disaster mitigation. Comprehensive analysis reveals that: the damage to buildings was severe, seismic geological disasters were widespread and numerous, and casualties were considerable; the high number of casualties was primarily due to poor seismic resistance of buildings, the earthquake occurring at night when people could not take timely precautions, and the extremely low survival probability of individuals buried by seismic geological disasters; in the post-disaster recovery and reconstruction process, it is essential to select sites rationally based on the geological conditions of the affected area, design scientifically, and further improve search and rescue techniques for seismic geological disaster victims while enhancing public awareness of earthquake prevention and disaster reduction.
  
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  ELOCITY STRUCTURE AND SEISMIC DISTRIBUTION CHARACTERISTICS OF P AND S WAVES IN MIDDLE SECTION OF TIANSHAN MOUNTAINS, XINJIANG

  WANG Jia-qi, ZHENG Xue-gang, LI Gui-rong, ZHAO Peng-xiang, ZHAO Peng-bi, LI Kui

  Inland Earthquake. 2025, 39(3): 279-288. https://doi.org/10.16256/j.issn.1001-8956.2025.03.010

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  Using the travel time data of earthquakes with M_S≥1.5 recorded by fixed stations of the digital seismic network in the central Tianshan Mountains of the Xinjiang Seismic Network and temporary mobile stations deployed after earthquakes from 2009 to 2022, this study employed the double-difference tomography method to investigate the three-dimensional P-wave and S-wave velocity structures of the crust and the characteristics of earthquake distribution in the central Tianshan Mountains. The results show that the average travel time residual decreased from -0.15 s before relocation to -0.001 6 s after relocation, indicating a significant improvement in positioning accuracy. The relocation results reveal that earthquakes are predominantly distributed at depths of 0～30 km, mostly along major fault zones, and exhibit a strong correlation with low-velocity zones. The P-wave and S-wave velocity structures of the crust in the central Tianshan Mountains of Xinjiang show high consistency, with both displaying significant lateral and vertical heterogeneity. P-waves and S-waves exhibit extensive low-velocity anomalies in the middle and lower crust of the central Tianshan Mountains, and these low-velocity zones are interconnected with the low-velocity anomaly regions of the Junggar Basin and the Tarim Basin. These results provide valuable data references for studying the crustal velocity structure of the central Tianshan Mountains.
  
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  STUDY ON DEFORMATION CHARACTERISTICS OF HORGOS-MANAS-TUGULU FAULT

  Aerdake Kadierbieke, Sulitan Yusan, LI Bing-ye, Abudutayier Yasen, LI Gui-rong

  Inland Earthquake. 2025, 39(3): 289-296. https://doi.org/10.16256/j.issn.1001-8956.2025.03.011

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  Vertical displacement measurements were obtained from three cross-fault leveling stations (Dafeng, Hongshanzui, and Kaziwang) around the Horgos-Manas-Tuyugou fault zone during the period from 2012 to 2023. The annual average change rates were calculated by comparing the measurements of the same season in different years. GNSS data from stations surrounding the fault zone between 2011 and 2022 were processed to obtain annual change rates, revealing the deformation characteristics of the Horgos-Manas-Tuyugou fault zone. Using GNSS data as a reference framework, an analysis of the cross-fault leveling data for individual fault segments shows that the reverse faulting characteristics in the eastern segment are significant, with larger uplift of the mountain compared to the central and western segments. The accumulated displacement at the Dafeng observation site continues to increase. In contrast, the leveling data and GNSS station change rates at the junction of the Manas and Horgos segments in the central section show relatively small variations.
  
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  PRECISE POSITIONING AND SPATIAL-TEMPORAL DISTRIBUTION CHARACTERISTICS ANALYSIS OF KARAMAY EARTHQUAKE SWARM

  Cao Ying, Wunier, Zulikaer Aizezi, Bolaxiake Hanati, MaoYu-jian, Li Jiao

  Inland Earthquake. 2025, 39(3): 297-303. https://doi.org/10.16256/j.issn.1001-8956.2025.03.012

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  Using the seismic phase observation report of Xinjiang Seismic Network, the double-difference positioning method was used to accurately locate and analyze 555 seismic events of the earthquake swarm from April 2017 to August 2024, and finally 520 high-precision positioning results were obtained. The P-wave first motion method is used to invert the focal mechanism solution of M_L≥2.0 earthquakes. Combined with the regional seismic tectonic background, it is found that the earthquake swarm is elliptically distributed on the surface projection, oblique to the Kewu fault, and the long axis is NW-SE. The depth distribution is mainly concentrated in the range of 9～13 km. The dominant strikes of the two sets of conjugate nodal planes of the focal mechanism solution are NW and NE, and most of the earthquakes in the swarm are mainly strike-slip. According to the precise location of the earthquake swarm, the results of the focal mechanism solution and the regional geological structure characteristics of the study area, it is considered that the Kewu fault, which is dominated by reverse fault slip, is not the seismogenic fault of the earthquake swarm. Affected by the compressive and torsional deformation of the Indosinian and Yanshan periods, the Kewu fault earthquake swarm develops multiple secondary faults. The earthquake swarm may be controlled by the NW and NE strike-slip secondary faults. These secondary faults are developed in the front edge of the Kewu fault and obliquely intersect with the Kewu fault, which may have the characteristics of small scale and high density, so that the earthquake swarm is distributed in a plane shape.
  
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  ANALYSIS OF NETWORK SECURITY ISSUES OF EARTHQUAKE WARNING INFORMATION IN XINJIANG

  ZHU Xiang-guo, WANG Fan-xia, MA Rui, LIU Dong-ya, ZHAO Li-han

  Inland Earthquake. 2025, 39(3): 304-310. https://doi.org/10.16256/j.issn.1001-8956.2025.03.013

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  In the context of comprehensively promoting high-quality economic and social development, it is of great significance to fully leverage the innovative driving role of earthquake informatization, fully do a good job in the network security protection of earthquake early warning information in Xinjiang, avoid network congestion or occupation, data leakage, information tampering and other network security incidents, and ensure the intelligent, efficient, safe and reliable release of earthquake early warning information in Xinjiang. In view of this, the article briefly summarizes the problems existing in the Xinjiang earthquake early warning information network by analyzing the architecture and security protection system of the network, and proposes measures to adjust and optimize network security and corresponding security prevention suggestions, in order to promote the construction of the Xinjiang earthquake early warning information network security.