15 March 2026, Volume 40 Issue 1
    

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  • LI Yue-shuai, LI Hong-yi, TANG Ming-shuai, SONG Chun-yan, WEI Yun-yun, JIANG Guo
    Inland Earthquake. 2026, 40(1): 1-16. https://doi.org/10.16256/j.issn.1001-8956.2026.01.001
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    With the advancement of seismic observation techniques,the field of seismology has accumulated vast amounts of observational data.The application of deep learning methods,which have developed rapidly in recent years,to seismic monitoring and prediction has demonstrated significant advantages.This paper systematically reviews the research progress of deep learning in seismic signal recognition,phase picking,microseismic location,and earthquake prediction, analyzes the strengths and limitations of existing methods,and explores future development directions.Through the analysis and integration of current information,it is demonstrated that deep learning holds great potential in earthquake catalog construction,precursor information extraction,and multi-source data fusion for prediction.However,challenges remain,including model generalizability,data heterogeneity,and the interpretability of physical mechanisms.
  • LI Bo, ZHANG Jin-yan, HE Huan, LIU Xuan-rui
    Inland Earthquake. 2026, 40(1): 17-23. https://doi.org/10.16256/j.issn.1001-8956.2026.01.002
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    This study applies a four-dimensional disaster-body model to estimate earthquake disaster in Jiashi County, Xinjiang, by integrating factors such as seismic intensity and fortification capacity.The results show that after incorporating more comprehensive disaster information, the model's output agrees well with actual earthquake loss records.The research achieved refined hazard zoning through historical isoseismal lines and weight analysis; the use of relative values to calculate a disaster-body volume index improved the objectivity of the assessment. Validation in Jiashi County demonstrated that the predicted disaster magnitude matches the actual seismic damage observed in recent years. Although weight settings still partly rely on empirical parameters, the proposed method can provide a scientific basis for regional earthquake risk prevention and mitigation planning.
  • YANG Yu-hao, YE Tang-jin, HE Jia-lin, ZHOU Xiao-peng, LIU Li
    Inland Earthquake. 2026, 40(1): 24-31. https://doi.org/10.16256/j.issn.1001-8956.2026.01.003
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    This study investigates the seismic instability mechanisms of colluvial slopes along National Highway G318 in southeastern Tibet using the particle flow code (PFC). A generalized geological model was constructed based on the geological conditions of the study area, incorporating seismic wave data from the MW6.9 Nyingchi earthquake. The dynamic response characteristics, including unbalanced forces, velocity, displacement, and microstructural evolution, were systematically analyzed. Results demonstrate that during the initial seismic phase, unbalanced forces of surface particles transmitted through deep layers induced acceleration amplification, with peak surface particle velocities reaching 5 m/s. In the peak seismic phase, resonance between ground motion and particle natural frequencies led to the formation of accumulation mounds at the mid-slope and crest, where maximum displacement increments occurred. During the post-seismic phase, gravitational stress redistribution maintained mid-slope particle velocities at 0.5 m/s, while increased porosity weakened interparticle interlocking, resulting in continuous displacement growth at the crest and mid-slope. Accumulation mound particles migrated toward the slope toe, forming gentle colluvial deposits. The instability mechanism of colluvial slopes under seismic action manifests as downslope sliding triggered by contact force imbalance, accumulation mound formation dominated by resonance effects, and displacement progression driven by gravitational potential energy. These findings reveal the dynamic response mechanisms of colluvial slope instability under earthquakes, providing theoretical support for hazard prevention of similar slopes.
  • ZHAO Peng-bi, QIAN Cai, XIANG Yuan, NIE Xiao-hong
    Inland Earthquake. 2026, 40(1): 32-41. https://doi.org/10.16256/j.issn.1001-8956.2026.01.004
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    This paper reviews and summarizes the anomalous phenomena preceding the MS5.0 earthquake in Kuche, Xinjiang, on February 5, 2025. It identifies two seismological anomalies and three point geophysical observation anomalies before the earthquake. The seismological anomalies mainly involve an increase in 3rd-degree earthquakes in the central Tianshan region and an enhanced area for 3rd and 4th-degree earthquakes. The point deformation anomalies before the earthquake include background anomalies and short-term anomalies. The background anomaly is the horizontal swing in Korla, showing a significant trend reversal; the short-term anomalies are: (1) the Kuche borehole tilting EW component saw a significant acceleration of eastward tilt from December 12, 2024, with the anomaly ending on December 16, 2024; (2) the vertical swing NS component in Korla exhibited accelerated southward tilt rate anomaly on January 1, 2025. By comparing the anomaly characteristics before the MS5.6 earthquake in Kuche on January 16, 2020, it is observed that the point deformation anomalies are mainly located at the Korla seismic station. Both earthquakes had background anomalies before the event, and the spatial evolution of mid-term and foreshock anomalies showed a migration from the near field to the periphery. Further comparison of the variation and evolutionary characteristics of the number of deformation anomalies in the middle section of the Tianshan Mountains during MS≥5.0 earthquakes reveals that the number of anomalies in the medium and short term shows a clear clustering characteristic. The number of anomalies increases or decreases rapidly before the earthquake, which is similar to the anomaly pattern evolution process before the MS5.0 earthquake in Kuche.
  • DING Xin-juan, ZHANG Zhi-bin, ZHAO Rui-sheng, CHI Zheng-yang, ZHAO Xiao-cheng
    Inland Earthquake. 2026, 40(1): 42-50. https://doi.org/10.16256/j.issn.1001-8956.2026.01.005
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    This paper focuses on the broadband mobile seismic array project constructed in the Southwestern Tianshan-West Kunlun region in 2023, detailing its system design and implementation. By increasing the station foundation depth and optimizing base treatment methods, the project effectively reduced environmental noise interference on observational data. Using three-component observational data recorded by the stations, the power spectral density (PSD) and root-mean-square (RMS) values of station noise were calculated, enabling a comprehensive evaluation of the noise levels at the seismic bases. Results indicate that the newly deployed stations exhibit favorable overall noise characteristics, with consistent noise levels across all three components. Additionally, the paper assesses the seismic monitoring capabilities of the array through ambient noise analysis. The findings demonstrate that the seismic monitoring threshold in the region improved from ML2.0 to ML0.5 after array deployment, significantly enhancing the area's earthquake detection capacity.
  • ZHOU Bin, LI Kui, JIN Hua, LI Rong
    Inland Earthquake. 2026, 40(1): 51-58. https://doi.org/10.16256/j.issn.1001-8956.2026.01.006
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    This study evaluates the capability of the automatic cataloging system to generate aftershock sequences of strong earthquakes in the Xinjiang region, using the 2016 Hutubi MS6.2 earthquake in the middle section of the Tianshan Mountains as a case study, with a comparative analysis of manual and automatic cataloging results. The research demonstrates that: (1) Timeliness and detection capability: The automatic cataloging system can rapidly generate aftershock sequence catalogs after an earthquake, with significantly higher efficiency than manual cataloging. The number of detected earthquakes is approximately twice that of manual cataloging, substantially enhancing catalog completeness. (2) Result consistency: The matching rate between the automatic catalog and the manual catalog is 89.5%. Epicenter deviations are mainly distributed within the range of 0~20 km, the lower limit of magnitude processing reaches ML0.0, magnitude differences are concentrated within ±0.3, and origin time deviations are largely confined to ±2 seconds. The results confirm that the automatic cataloging system is reliable and highly efficient, providing timely and comprehensive data support for scientific research and practical applications such as seismic trend analysis, emergency response, and rupture process inversion.
  • LI Kui, JIANG Sheng-jie, ZHANG Qing-yuan, LIU Li-xia, JIN Hua, ZHOU Jing, ZHOU Bin
    Inland Earthquake. 2026, 40(1): 59-69. https://doi.org/10.16256/j.issn.1001-8956.2026.01.007
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    Using the RISP system, a seismic catalog for the Kashi region from January 12, 2020, 00:00 to February 12, 2020, 23:59 was rapidly constructed. Through matching filtering and double-difference relocation methods, the following conclusions were drawn:① The RISP automatic cataloging system demonstrates significant advantages in microseismic detection and catalog production, particularly in faster response times, lower detection thresholds, and positioning results that are comparable to manual methods.② The automatic cataloging results better reveal the distribution of aftershocks from the Kashi MS6.4 earthquake sequence in terms of depth, aligning with the overall northward dip of the Keping Fault. This suggests that the Kepingtage Fault is the main fault responsible for the east-west directed aftershocks, with activity concentrated near the detachment surface of the Kepingtage thrust structure. It may also have triggered synchronous movement along the Ozgertawu Fault.③ The automatic cataloging identified a significant number of multi-detected small earthquakes; however, verifying the authenticity of these small earthquakes is crucial. From the double-difference relocation results, the positioning of many multi-detected small earthquakes is still not ideal in revealing fault structures. Thus, developing automated verification processes for small earthquakes and improving the accuracy and reliability of automatic seismic catalogs will be key focuses for future research.
  • BAI Yan, TAN Ming, LI Jin-Xiang, LI Bo
    Inland Earthquake. 2026, 40(1): 70-80. https://doi.org/10.16256/j.issn.1001-8956.2026.01.008
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    In order to study the application of ABAQUS in structural ground motion time history analysis, the method and key points of structural elastic-plastic time history analysis using this software are summarized by taking wave amplitude modulation, model establishment, material attribute assignment and grid division as steps. By establishing a RC frame model for example analysis, the damage of the model under earthquake action is studied. The results show that ABAQUS can clearly reflect the response of the structure in the whole process of earthquake. The output results can be used to analyze the modal shape of the structure, quantify the damage of the whole and the components, and show the spatial distribution of the damage factor. This method has a good application prospect in disaster loss pre-assessment, earthquake disaster prevention and emergency command.
  • Mulatijiang Abulaiti, JIA Yong-bin, JIN Hua, GAO Ge, ZHANG Sen
    Inland Earthquake. 2026, 40(1): 81-89. https://doi.org/10.16256/j.issn.1001-8956.2026.01.009
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    Selected observational data from 2014 to 2024 on the two components of vertical swing tilt, cave temperature, and external atmospheric temperature of Kuerle Hohla Mountain were used to study the influence characteristics of temperature on vertical swing tilt and to conduct seismic event analysis on the vertical swing NS component. The results show that:①the annual variation of vertical swing tilt is mainly influenced by the annual changes in air temperature and cave temperature. The effect of air temperature exhibits a more significant linear characteristic with a lag effect, while the effect of cave temperature is real-time, showing a higher correlation with air temperature and a nonlinear relationship.②The seismic event analysis indicates that the NS component has a good correspondence with seismic events. Its response to changes in air temperature and cave temperature is primarily characterized by abnormal annual variation amplitudes and weakened or deviated correlations.
  • ZHANG Jia-min, Aisa Yisimayili, ZHANG Sen, ZHANG Xiao-fei, Sairima
    Inland Earthquake. 2026, 40(1): 90-97. https://doi.org/10.16256/j.issn.1001-8956.2026.01.010
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    Based on the observational data of the Resistivity Monitoring Station in Shayidong, Korla, Xinjiang, this paper introduces the discovery process and verification of abnormal resistivity data, excluding environmental and meteorological factors,analyzing the reliability of the abnormal change and discussing anomaly characteristics of ground resistivity before earthquake. The results indicate that the observational data of Shayidong ground resistivity are continuously stable with a high degree of abnormal credibility. On May 2023, the data curve showed a trend reversal change, and on April 2024, a yearly variation distortion anomaly appeared again. After the anomaly ended, earthquakes with magnitudes of 5.5 or above occurred within a 300 km radius of the monitoring station. It suggests that the Shayidong ground resistivity monitor can serve as a reliable basis for determining anomalies before earthquake.
  • ZHOU Hong-yan, NING Hong-tao, WU Wei-ying
    Inland Earthquake. 2026, 40(1): 98-108. https://doi.org/10.16256/j.issn.1001-8956.2026.01.011
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    AlphaGUARD radon monitor introduced by the seismic system mainly includes two models: P2000 and PQ2000 Pro. Because the measurement data of this kind of instrument is not connected to the seismic observation network, most of the equipment does not perform regular calibration. If it is directly used for observation, it may lead to significant deviation of the data. Based on the calibration/verification results of the above two types of radon monitors, this paper analyzes the measurement performance and puts forward corresponding work suggestions, in order to provide reference for the use and maintenance of related instruments in the seismic industry. The results show that: 1) the instrument calibration coefficient (K value) fluctuates between 0.91 and 1.14 for a long time, and the annual deviation is less than 5%; 2) The repeatability of the instrument is less than 5% when the measurement value is calculated at 1 h, and the repeatability of the instrument is less than 10 % when the measurement value is calculated at 10 min, and the background accumulation will affect the repeatability of the low radon concentration measurement. 3) In the radon concentration range of (0.4~12) kBq·m-3, the relative inherent error of the instrument is less than 4%; 4) The cumulative deviation of K value of P2000 model was close to 5% in the third year, while that of PQ2000 Pro model was close to 5% in the fourth year. With the increase of service life, the K value of the instrument showed a significant downward trend. It is suggested that the calibration/verification cycle should be determined according to the specific use of this type of radon measuring instrument. If used as a standard instrument, regular fixed-point traceability should be implemented, and the longest traceability cycle should not exceed 3 years.
  • JING Xiao-fu, DING Xin-juan, LIU Yan-hui, XING Shao-zhi, YANG Bin, WANG Ji-li
    Inland Earthquake. 2026, 40(1): 109-116. https://doi.org/10.16256/j.issn.1001-8956.2026.01.012
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    Based on wavelet analysis methodology, this study investigates the multi-scale time-frequency characteristics of water level response to barometric pressure in the New 32 well, Bole, Xinjiang, using monthly averaged data (2015-2024) and hourly sampled data (2024). The results reveal that: (1) the dominant water-level oscillation period (256 days) exhibited concentrated energy from 2017 to 2019, while high-frequency signals manifested a bimodal pattern: intensive short-period disturbances (0.5~2 h) in summer and diurnal-to-weekly scale fluctuations (32~128 h) in winter; (2) The barometric pressure component in the long-period band (256~512 days) progressively intensified, with summer short-period power (0.5~2 h) reaching its maximum; (3) At the long-period scale (512 days), water level and pressure showed positive coherence during 2018—2021 that transitioned to negative coherence post 2022. High-frequency short-period variations (0.5~2 h) were completely synchronized in summer, while phase lags occurred at the diurnal scale (32 h) during autumn.This research provides time-frequency criteria for identifying fluid precursors in seismically hazardous regions.
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