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Seismic response of existing stone masonry structures on soft soil foundations 软土地基上既有石砌体结构的地震反应
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100370
Xin Zhao , Haojiang Shang , Yingxiong Wu
The coastal region of Fujian contains numerous existing stone masonry structures, many of which are constructed on soft soil sites. Previous studies have shown that the soil-structure interaction (SSI) effect on soft soil foundations can prolong the structure's natural vibration period and enhance its seismic response. We develops a soil-structure interaction system model and a comparative rigid foundation model using the finite element software LS-DYNA to investigate the impact of SSI on the dynamic characteristics and seismic response of stone structures. The results indicate that the SSI effect alters stone structures' dynamic properties and seismic response. This alteration is evident in the extended natural vibration period, which reduces overall stiffness, increases interstory displacement angles, and slightly decreases the acceleration response. Under both SSI and FIX systems, the structural failure mode is characterized by the external collapse of the second-story stone walls, which causes the roof stone slabs to lose support and fall, leading to overall collapse. The FIX system demonstrates better structural integrity and stability with slower crack development. In contrast, the SSI system exhibits cracks that appear earlier and develop more rapidly, causing more severe damage. The research findings provide a theoretical basis for the seismic reinforcement of existing stone structures on soft soil foundations.
福建沿海地区有许多现存的石砌体结构,其中许多建在软土地基上。已有研究表明,软土地基的土-结构相互作用(SSI)效应可以延长结构的自振周期,增强结构的地震响应。利用LS-DYNA有限元软件建立了土-结构相互作用系统模型和比较刚性基础模型,研究了SSI对石质结构动力特性和地震反应的影响。结果表明,SSI效应改变了石质结构的动力性能和地震反应。这种变化在延长的自振周期中表现明显,降低了整体刚度,增加了层间位移角,并略微降低了加速度响应。在SSI体系和FIX体系下,结构破坏模式均以二层石墙外塌为特征,二层石墙外塌导致屋顶石板失去支撑而坠落,导致整体倒塌。FIX体系具有较好的结构完整性和稳定性,裂缝发展速度较慢。相比之下,SSI系统的裂缝出现得更早,发展得更快,造成的破坏更严重。研究结果为软土地基上既有石质结构的抗震加固提供了理论依据。
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引用次数: 0
Disaster analysis and lessons learned from the July 22, 2024, Ethiopian landslide 灾害分析和从2024年7月22日埃塞俄比亚滑坡中吸取的教训
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100358
Tao Li , Junxue Ma , Yuandong Huang , Shuhui Zhang , Huiran Gao , Chong Xu
Rainfall-induced landslides are often highly destructive. Reviewing and analyzing the causes, processes, impacts, and deficiencies in emergency response is critical for improving disaster prevention and management. From the night of July 21 to the morning of July 22, 2024, the Kencho Shacha Gozdi Village in Gezei Gofa, Southern Nations, Nationalities, and Peoples' Region, Ethiopia, suffered heavy rainfall that triggered two landslides. By July 25, this event had claimed at least 257 lives. This study presents a detailed characterization of the landslides using multi-source data. By analyzing the landslide disaster process, this study summarizes key lessons and provides suggestions for preventing rainfall-induced geological hazards. The results indicate that rainfall has the greatest impact on the occurrence of landslides, while lithology and human activities have promoted and strengthened the landslide disaster. Despite the active disaster response in the local area, many problems were still exposed in the emergency response work. This analysis offers valuable insights for mitigating rainfall-induced geological hazards and enhancing emergency response capabilities.
降雨引起的山体滑坡往往具有高度破坏性。审查和分析应急响应的原因、过程、影响和不足,对于改进灾害预防和管理至关重要。2024年7月21日晚至22日上午,埃塞俄比亚南部国家、民族和人民地区Gezei Gofa的Kencho Shacha Gozdi村遭遇强降雨,并引发两次山体滑坡。截至7月25日,该事件已造成至少257人死亡。本研究利用多源数据对滑坡进行了详细的表征。通过对滑坡灾害过程的分析,总结了主要经验教训,并提出了预防降雨地质灾害的建议。结果表明,降雨对滑坡的发生影响最大,而岩性和人类活动对滑坡灾害有促进和加强作用。尽管当地的救灾工作积极开展,但在应急工作中仍暴露出许多问题。这一分析为减轻降雨引起的地质灾害和提高应急响应能力提供了有价值的见解。
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引用次数: 0
Preliminary analysis of emergency production and source parameters of the M 4.7 earthquake on September 18, 2024 in Feidong, Anhui 2024年9月18日安徽肥东4.7级地震应急生成及震源参数初步分析
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100360
Jiajing Xu, Guangjie Han, Nan Xi, Li Sun
At 20:08 on September 18, 2024, Beijing time, an earthquake of magnitude 4.7 occurred in Feidong, Anhui Province (31.98°N, 117.6°E). The China Earthquake Early Warning Network presented the first early warning results 8.9 ​s after the earthquake. The China Earthquake Networks Center (CENC) released the automatic rapid report results 163 ​s after the earthquake and the official rapid report results 8 ​min after the earthquake. At the same time, the CENC reported a series of emergency products, including source parameters, seismic tectonics, historical earthquakes, focal mechanism, instrument seismic intensity and predicted intensity. The results showed that the earthquake was located at the junction of the southern section of the Tanlu Fault and the Feizhong Fault, with aftershocks distributed in the NEE direction. The focal mechanism solution indicates that the earthquake is essentially a strike-slip event. The predicted intensity in the vicinity of the epicenter reaches up to VI, involving 23 towns that cover an area of about 1 359 ​km2. Only one station near the epicenter shows a peak acceleration value greater than the fortification standard of the area, which may cause slight damage to some adjacent houses, consistent with the actual damage to buildings.
北京时间2024年9月18日20时08分,安徽肥东(北纬31.98°,东经117.6°)发生4.7级地震。地震发生后8.9 s,中国地震预警网首次发布预警结果。中国地震台网中心(CENC)在地震发生后163秒发布了自动快速报告结果,在地震发生后8分钟发布了官方快速报告结果。同时,中央地震中心通报了震源参数、地震构造、历史地震、震源机制、仪器地震烈度和预测烈度等一系列应急产品。结果表明,此次地震位于郯庐断裂带南段与飞中断裂带交界处,余震向北东东方向分布。震源机制解表明这次地震本质上是一次走滑事件。震中附近预测烈度可达6级,涉及23个城镇,面积约1359平方公里。只有靠近震中的一个站点的峰值加速度值大于该地区的设防标准,这可能对附近的一些房屋造成轻微损坏,与建筑物的实际损坏一致。
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引用次数: 0
Deriving focal mechanism solutions of small to moderate earthquakes in Sichuan, China via a deep learning method 基于深度学习方法的四川中小地震震源机制解
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100371
Chen Zhang , Ji Zhang , Jie Zhang
As one of the most seismically active regions, Sichuan basin is a key area of seismological studies in China. This study applies a neural network model with attention mechanisms, simultaneously picking the P-wave arrival times and determining the first-motion polarity. The polarity information is subsequently used to derive source focal mechanisms. The model is trained and tested using small to moderate earthquake data from June to December 2019 in Sichuan. We apply the trained model to predict first-motion polarity directions of earthquake recordings in Sichuan from January to May 2019, and then derive focal mechanism solutions using HASH algorithm with predicted results. Compared with the source mechanism solutions obtained by manual processing, the deep learning method picks more polarities from smaller events, resulting in more focal mechanism solutions. The catalog documents focal mechanism solutions of 22 events (ML 2.6–4.8) from analysts during this period, whereas we obtain focal mechanism solutions of 53 events (ML 1.9–4.8) through the deep learning method. The derived focal mechanism solutions for the same events are consistent with the manual solutions. This method provides an efficient way for the source mechanism inversion of small to moderate earthquakes in Sichuan region, with high stability and reliability.
四川盆地是中国地震活动最活跃的地区之一,是中国地震研究的重点地区。本研究采用具有注意机制的神经网络模型,同时选取p波到达时间和确定首动极性。极性信息随后用于推导震源震源机制。该模型使用2019年6月至12月四川的中小地震数据进行了训练和测试。利用训练好的模型对2019年1 - 5月四川地震记录的初动极性方向进行预测,并利用HASH算法对预测结果进行震源机制求解。与人工处理获得的源机构解相比,深度学习方法从较小的事件中选择更多的极性,从而得到更多的焦点机构解。该目录记录了分析人员在此期间提供的22个事件(ML 2.6-4.8)的焦点机制解,而我们通过深度学习方法获得了53个事件(ML 1.9-4.8)的焦点机制解。对于同一事件,导出的震源机构解与手工解一致。该方法为四川地区中小地震震源机制反演提供了一条有效途径,具有较高的稳定性和可靠性。
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引用次数: 0
Crustal velocity structure and composition of Bayan Har block and surrounding areas 巴颜喀尔地块及其周缘地壳速度结构与组成
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100389
Jiyan Lin , Tao Xu , Zhenyu Fan , Yong Qiu , Minjie Chen , Yonghong Duan
The Bayan Har block, one of China's most seismically active regions, has experienced multiple major earthquakes (≥M 7.0) in recent years. It is a key area for investigating the interactions between the Qinghai-Xizang (Qingzang) Plateau and adjacent blocks, plateau uplift, and strong earthquake mechanisms. P-wave velocity and crustal composition provide key constraints on the properties of distinct tectonic units and their evolutionary modification processes. Based on the results of 8 Deep Seismic Sounding (DSS) profiles completed in the Bayan Har block and surrounding areas over the past 20 years, We constructed one-dimensional P-wave velocity models for the crust of Bayan Har block, Qilian fold belt, Qinling fold belt, Alxa block, Ordos block and Sichuan basin. Furthermore, crustal composition models for different tectonic units were established based on these results. The results reveal that the crustal thickness of the Bayan Har block gradually decreases towards the NNE, NE, and SE directions, while the average crustal velocity increases correspondingly. The felsic layer in the crust accounts for more than half of the total crustal thickness. The mafic content within the crust of different tectonic units exhibits notable variations, which may reflect that the Bayan Har block, Qilian fold belt, and Qinling fold belt have experienced more intensive lithospheric evolution processes compared to Ordos basin and Sichuan basin. The seismicity distribution in this region is significantly controlled by crustal velocity and composition heterogeneity across the Bayan Har block and adjacent areas, which demonstrates that earthquakes within and around the Bayan Har block exhibit both high frequency and larger magnitudes. These seismic characteristics primarily result from intense crustal stress accumulation and release during the outward expansion of the Qingzang Plateau.
巴颜喀尔地块是中国地震最活跃的地区之一,近年来经历了多次7.0级以上的大地震。它是研究青藏高原与邻近地块相互作用、高原隆升和强震机制的关键区域。纵波速度和地壳成分是不同构造单元性质及其演化改造过程的关键制约因素。基于近20年来在巴颜喀拉地块及周边地区完成的8条深地震测深(DSS)剖面,建立了巴颜喀拉地块、祁连褶皱带、秦岭褶皱带、阿拉好地块、鄂尔多斯地块和四川盆地地壳的一维纵波速度模型。在此基础上建立了不同构造单元的地壳成分模型。结果表明,巴颜喀拉地块地壳厚度沿NNE、NE、SE方向逐渐减小,平均地壳速度相应增大。地壳中的长英质层占地壳总厚度的一半以上。不同构造单元地壳内镁基含量差异显著,这可能反映了巴颜喀尔地块、祁连褶皱带和秦岭褶皱带比鄂尔多斯盆地和四川盆地经历了更为强烈的岩石圈演化过程。该地区的地震活动分布明显受巴颜喀尔块体及其邻区地壳速度和组成非均质性的控制,表明巴颜喀尔块体内部和周围地震频率高、震级大。这些地震特征主要是青藏高原向外扩张过程中强烈的地应力积累和释放所致。
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引用次数: 0
Influence of far-field mega earthquake on cascade hydropower along the Yalongjiang river by simulating the 1850 Xichang M 7.5 earthquake 模拟1850年西昌7.5级地震对雅砻江流域级联水力发电的影响
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100373
Su Chen , Yiming He , Xiaojun Li , Lei Fu
Researching and comprehending the characteristics of destructive seismic motions is essential for the seismic design of critical infrastructure. This study employs historical data from the M 7.5 earthquake that occurred in 1850 to simulate the impacts of a M 7.5 event on hydropower stations located in proximity to Xichang. Key factors taken into account in the simulation of seismic motion encompass uncertainties, mixed-source models, and the placement of asperities. Through these simulations, we acquired the peak ground acceleration (PGA), acceleration time histories, and acceleration response spectra for the hydropower facilities affected by the earthquake. To perform a comprehensive analysis, we utilized a multi-scenario stochastic finite fault simulation method to estimate parameters including the minimum, average, and maximum values of PGA and pseudo-spectral acceleration (PSA) response spectra. Additionally, we assessed the 50th, 84th, and 95th percentiles values of the peak ground acceleration and pseudo-spectral acceleration response spectra. The simulation results also include peak ground acceleration field maps and peak ground velocity (PGV) field maps and intensity distribution maps pertaining to the earthquake. The findings demonstrate that the intensity maps produced through the stochastic finite fault method closely correspond with the intensity contour maps published of historical seismic records. These findings offer significant insights for the seismic safety evaluation and design of the specified hydropower stations. Moreover, this multi-scenario methodology can be effectively utilized for other critical infrastructure projects to derive dependable seismic motion parameters.
研究和理解破坏性地震运动的特征对关键基础设施的抗震设计至关重要。本文采用1850年发生的7.5级地震的历史数据,模拟7.5级地震对西昌附近水电站的影响。地震运动模拟中要考虑的关键因素包括不确定性、混合震源模型和凸起的位置。通过这些模拟,我们获得了受地震影响的水电设施的峰值地面加速度(PGA)、加速度时程和加速度响应谱。为了进行综合分析,我们利用多场景随机有限故障模拟方法估计了PGA和伪谱加速(PSA)响应谱的最小值、平均值和最大值等参数。此外,我们还评估了峰值地面加速度和伪谱加速度响应谱的第50、84和95百分位值。模拟结果还包括与地震有关的峰值地加速度场图、峰值地速度场图和烈度分布图。结果表明,用随机有限断层法得到的烈度图与历史地震记录的烈度等高线图吻合较好。这些研究结果对特定水电站的抗震安全评价和设计具有重要的指导意义。此外,这种多场景方法可以有效地用于其他关键基础设施项目,以获得可靠的地震运动参数。
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引用次数: 0
Advancements in remote sensing techniques for earthquake engineering: A review 地震工程遥感技术进展综述
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2024.100352
Chinmayi H.K , K. Colton Flynn , Amanda J. Ashworth
Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface. These technologies, including satellite imagery, aerial surveys, and advanced sensors, contribute significantly to our understanding of the complex nature of earthquakes. This review highlights the advancements in the integration of remote sensing technologies into earthquake studies. The combined use of satellite imagery and aerial photography in conjunction with geographic information systems (GIS) has been instrumental in showcasing the significance of fusing various types of satеllitе data sourcеs for comprеhеnsivе еarthquakе damagе assеssmеnts. However, remote sensing encounters challenges due to limited pre-event imagery and restricted post-earthquake site access. Furthеrmorе, thе application of dееp-lеarning mеthods in assеssing еarthquakе-damagеd buildings dеmonstratеs potеntial for furthеr progrеss in this fiеld. Overall, the utilization of remote sensing technologies has greatly enhanced our comprehension of earthquakes and their effects on the Earth's surface. The fusion of remote sensing technology with advanced data analysis methods holds tremendous potential for driving progress in earthquake studies and damage assessment.
遥感技术在我们了解地震及其对地球表面的影响方面起着至关重要的作用。这些技术,包括卫星图像、航空测量和先进的传感器,对我们了解地震的复杂性质作出了重大贡献。这篇综述着重介绍了遥感技术与地震研究相结合的进展。将卫星图像和航空摄影与地理信息系统(GIS)结合起来使用,有助于展示融合各种类型的卫星数据库对地震灾害数据库的重要性。然而,由于有限的地震前图像和有限的地震后现场访问,遥感遇到了挑战。在此基础上,进一步研究了在地震破坏建筑物评估中的应用,为该领域的进一步发展奠定了基础。总的来说,遥感技术的利用大大提高了我们对地震及其对地球表面影响的了解。遥感技术与先进数据分析方法的融合在推动地震研究和灾害评估方面具有巨大的潜力。
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引用次数: 0
A spatial forecast of some MW≥6.5 earthquakes in California and Nevada 加利福尼亚和内华达州一些MW≥6.5级地震的空间预报
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2025.100359
John E. Ebel
This paper presents a prospective forecast of the locations of the next MW ​≥ ​6.5 earthquakes in California and Nevada based on the locations and rates of occurrence of M ​≥ ​4.0 earthquakes during the past 30 years, called here preshocks. The time period of the forecast is arbitrarily set at 33 years. The forecast faults are the Anza section of the San Jacinto Fault, the Calaveras Fault, the creeping section of the San Andreas Fault, the Maacama Fault, the San Bernardino section of the San Jacinto Fault, and the southern San Andreas Fault, all strike-slip faults in California, and the normal-faulting Wassuk Range Fault in Nevada. The suspected preshocks have occurred randomly along the expected future fault ruptures at rates of at least 0.5 events per year. The temporal history of preshocks for past M ​≥ ​6.5 earthquakes in California do not indicate when the future mainshock will occur. Outside of California, preshock activity was observed before the 2016 MW 7.0 Kumamoto, Japan earthquake, the 2023 MW 7.8 Kahramanmaras, Turkey earthquake, and the 2017 MW 6.5 Jiuzhaigou, China earthquake, all strike-slip events, as well as the 2008 MW 7.9 Wenchuan, China thrust earthquake. The two mainshocks in China had preshock rates less than 0.5 events per year. By publishing this spatial earthquake forecast, seismologists in the future can evaluate whether or not this forecast was a total success, a total failure, or a partial success. The probability of just one of the forecast events actually taking place during the forecast time period is less than 2%.
本文根据过去30年里氏4.0级以上地震的位置和发生率,对加州和内华达州下一次里氏6.5级以上地震的位置进行了前瞻性预测。预测的时间周期被任意设定为33年。预测的断层是圣哈辛托断层的安扎断层、卡拉维拉斯断层、圣安德烈亚斯断层的爬行断层、马卡马断层、圣哈辛托断层的圣贝纳迪诺断层和南圣安德烈亚斯断层,都是加利福尼亚州的走滑断层,以及内华达州的正常断层瓦苏克山脉断层。可疑的震前活动随机发生在预期的未来断层破裂中,每年至少发生0.5次。加州过去6.5级以上地震的预震时间历史并没有显示未来主震发生的时间。在加州以外,在2016年日本熊本7.0级地震、2023年土耳其卡赫拉曼马拉斯7.8级地震、2017年中国九寨沟6.5级地震以及2008年中国汶川7.9级逆冲地震之前,都观察到了震前活动。中国两次主震的震前率每年不到0.5次。通过发布这个空间地震预报,地震学家将来可以评估这个预报是完全成功、完全失败还是部分成功。在预测时间段内,只有一个预测事件实际发生的概率小于2%。
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引用次数: 0
High-resolution satellite imagery analysis of coseismic landslides and liquefaction induced by the 2024 MW 7.4 Hualien earthquake, Taiwan, China 2024 MW 7.4花莲地震诱发同震滑坡和液化的高分辨率卫星图像分析
Pub Date : 2025-07-01 DOI: 10.1016/j.eqrea.2024.100356
Lingyun Lu , Yueren Xu , Jiacheng Tang , Guiming Hu
Rapidly obtaining spatial distribution maps of secondary disasters triggered by strong earthquakes is crucial for understanding the disaster-causing processes in the earthquake hazard chain and formulating effective emergency response measures and post-disaster reconstruction plans. On April 3, 2024, a MW 7.4 earthquake struck offshore east of Hualien, Taiwan, China, which triggered numerous coseismic landslides in bedrock mountain regions and severe soil liquefaction in coastal areas, resulting in significant economic losses. This study utilized post-earthquake emergency data from China's high-resolution optical satellite imagery and applied visual interpretation method to establish a partial database of secondary disasters triggered by the 2024 Hualien earthquake. A total of 5 348 coseismic landslides were identified, which were primarily distributed along the eastern slopes of the Central Mountain Range watersheds. In high mountain valleys, these landslides mainly manifest as localized bedrock collapses or slope debris flows, causing extensive damage to highways and tourism facilities. Their distribution partially overlaps with the landslide concentration zones triggered by the 1999 Chi-Chi earthquake. Additionally, 6 040 soil liquefaction events were interpreted, predominantly in the Hualien Port area and the lowland valleys of the Hualien River and concentrated within the IX-intensity zone. Widespread surface subsidence and sand ejections characterized soil liquefaction. Verified against local field investigation data in Taiwan, rapid imaging through post-earthquake remote sensing data can effectively assess the distribution of coseismic landslides and soil liquefaction within high-intensity zones. This study provides efficient and reliable data for earthquake disaster response. Moreover, the results are critical for seismic disaster mitigation in high mountain valleys and coastal lowlands.
快速获取强震次生灾害空间分布图,对于了解地震灾害链中的致灾过程,制定有效的应急措施和灾后重建计划至关重要。2024年4月3日,中国台湾花莲以东海域发生里氏7.4级地震,引发基岩山区多处同震滑坡,沿海地区土壤严重液化,造成重大经济损失。本研究利用中国高分辨率光学卫星影像的震后应急数据,采用目视解译方法,建立了花莲地震次生灾害部分数据库。共发现5 348个同震滑坡,主要分布在中央山脉流域东坡。在高山峡谷,这些滑坡主要表现为局部基岩崩塌或边坡泥石流,对高速公路和旅游设施造成广泛破坏。其分布与1999年池池地震引发的滑坡集中区有部分重叠。土壤液化事件共6 040次,主要分布在花莲港区和花莲河低洼河谷地区,且集中在6级烈度区。广泛的地表沉降和喷砂是土壤液化的特征。通过对台湾当地实地调查数据的验证,通过震后遥感数据快速成像可以有效地评估高烈度区内同震滑坡和土壤液化的分布。本研究为地震灾害响应提供了有效可靠的数据。此外,研究结果对高山峡谷和沿海低地的地震减灾具有重要意义。
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引用次数: 0
A comprehensive earthquake source database for China’s strong-motion flatfile (2007–2020) 2007-2020年中国强震平面文件综合震源数据库
Pub Date : 2025-04-01 DOI: 10.1016/j.eqrea.2024.100346
Hongwei Wang , Hongrui Li , Yefei Ren , Ruizhi Wen
The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020. This study assembled the source-related metadata of 1 920 earthquakes associated with assembled well-processed recordings of China. The earthquake basic information, focal mechanisms, and the fault geometry were collected from various institutes and literature. We recommended the MW values for 900 earthquakes, the fault types for 1 064 earthquakes, and the fault geometries for 18 large earthquakes. We also performed the statistical analysis for establishing the empirical conversions of MW-MS, and ML, and providing the empirical relationships between MW and ruptured area, aspect ratio, respectively. Moreover, the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1 141 mainshocks, and 779 aftershocks. The finite-fault distances (RJB and Rrup) of strong-motion recordings from the 18 large earthquakes were calculated, and then used to yield the statistic relationships between the point-source distances (Repi and Rhyp) and finite-fault distances. We finally provided the earthquake source database freely accessible at website. The source-related metadata can be directly applied to develop the ground motion prediction equations of China.
2007年至2020年12月,中国国家强震观测网系统共收集强震记录1.2万余次。本研究收集了1920年地震的源相关元数据,并将其与中国整理好的记录相关联。地震的基本信息、震源机制、断层几何形状等都是从各种研究机构和文献中收集的。我们推荐了900次地震的MW值,1064次地震的断层类型,18次大地震的断层几何形状。我们还进行了统计分析,建立了MW- ms和ML的经验转换,并分别提供了MW与破裂面积、纵横比之间的经验关系。此外,利用大地震的破裂断层几何形状,将所有考虑的地震初步划分为1141次主震和779次余震。计算了18次大地震强震记录的有限断层距离(RJB和Rrup),并利用它们得到了点源距离(Repi和Rhyp)与有限断层距离之间的统计关系。我们最终在网站上免费提供了震源数据库。源相关元数据可直接用于建立中国地震动预报方程。
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引用次数: 0
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Earthquake Research Advances
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