首页 > 最新文献

Earthquake Research Advances最新文献

英文 中文
Tectonic geomorphology of Türkiye and its insights into the neotectonic deformation of the Anatolian Plate 图尔基耶的构造地貌及其对安纳托利亚板块新构造变形的启示
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100267
Yuqiao Chang , Yihui Zhang , Huiping Zhang

Quantitative geomorphic analyses are usually powerful in identifying active tectonics across global orogenic belts. Our present study will focus on the Anatolian Plate which hosts a lot of recent catastrophic earthquakes in Türkiye. Six geomorphic indices for 100 sub-basins around Türkiye have been computed including local relief, slope, normalized steepness index (kSn)), hypsometric curve and integral (HI), transverse topographic symmetry factor (Tf), and the basin asymmetry factor (Af). The averaged kSn and Af values have shown four high-value anomalous zones, suggesting relatively high uplift rates featured by high river incision and regional tilting. The values of 0.35 ​≤ ​HI ​< ​0.6 for basins with S-shaped curves imply intensive tectonic activities along the eastern part of the North Anatolian Fault Zone (NAFZ), the Northeast Anatolian Fault Zone (NEAFZ), the East Anatolian Fault Zone (EAFZ), and the Central Anatolian Fault Zone(CAFZ). All results of the geomorphic indices analysis suggest a relatively high degree of tectonic activity in the following four areas, the Isparta Angle, the Eastern Black Sea Mountains, the South-eastern Anatolia Region, and the Central Anatolian fault zone. We further suggest that the eastern part of the NAFZ, NEAFZ, EAFZ, and CAFZ will be more active in tectonic activities, with a greater potential for strong earthquake occurrence.

定量地貌分析通常能有效识别全球造山带的活动构造。我们本次研究的重点是安纳托利亚板块,该板块近期在土耳其发生了多次灾难性地震。我们计算了图尔基耶周围 100 个子盆地的六个地貌指数,包括局部地形、坡度、归一化陡度指数(kSn)、吸水曲线和积分(HI)、横向地形对称因子(Tf)和盆地不对称因子(Af)。kSn和Af的平均值显示出四个高值异常区,表明由于河流高度内切和区域倾斜,隆起率相对较高。具有 S 形曲线的盆地的 kSn 值为 0.35 ≤ HI < 0.6,这意味着沿北安纳托利亚断裂带东部、东北安纳托利亚断裂带、东安纳托利亚断裂带和中安纳托利亚断裂带的构造活动十分活跃。地貌指数分析的所有结果都表明,伊斯帕尔塔角、东黑海山脉、安纳托利亚东南部地区和安纳托利亚中部断裂带这四个地区的构造活动程度相对较高。我们进一步认为,北大西洋断裂带、东北大西洋断裂带、东大西洋断裂带和中大西洋断裂带的东部地区构造活动将更加活跃,发生强震的可能性更大。
{"title":"Tectonic geomorphology of Türkiye and its insights into the neotectonic deformation of the Anatolian Plate","authors":"Yuqiao Chang ,&nbsp;Yihui Zhang ,&nbsp;Huiping Zhang","doi":"10.1016/j.eqrea.2023.100267","DOIUrl":"https://doi.org/10.1016/j.eqrea.2023.100267","url":null,"abstract":"<div><p>Quantitative geomorphic analyses are usually powerful in identifying active tectonics across global orogenic belts. Our present study will focus on the Anatolian Plate which hosts a lot of recent catastrophic earthquakes in Türkiye. Six geomorphic indices for 100 sub-basins around Türkiye have been computed including local relief, slope, normalized steepness index (<em>k<sub>S</sub></em><sub><em>n</em>))</sub>, hypsometric curve and integral (HI), transverse topographic symmetry factor (Tf), and the basin asymmetry factor (Af). The averaged <em>k</em><sub><em>S</em></sub><sub><em>n</em></sub> and Af values have shown four high-value anomalous zones, suggesting relatively high uplift rates featured by high river incision and regional tilting. The values of 0.35 ​≤ ​<em>HI</em> ​&lt; ​0.6 for basins with S-shaped curves imply intensive tectonic activities along the eastern part of the North Anatolian Fault Zone (NAFZ), the Northeast Anatolian Fault Zone (NEAFZ), the East Anatolian Fault Zone (EAFZ), and the Central Anatolian Fault Zone(CAFZ). All results of the geomorphic indices analysis suggest a relatively high degree of tectonic activity in the following four areas, the Isparta Angle, the Eastern Black Sea Mountains, the South-eastern Anatolia Region, and the Central Anatolian fault zone. We further suggest that the eastern part of the NAFZ, NEAFZ, EAFZ, and CAFZ will be more active in tectonic activities, with a greater potential for strong earthquake occurrence.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100267"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000647/pdfft?md5=87603bb5897c16ed29bdcbfc3f4dd1d8&pid=1-s2.0-S2772467023000647-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139653785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preliminary report of coseismic surface rupture (part) of Türkiye's MW7.8 earthquake by remote sensing interpretation 通过遥感解译初步报告土耳其 MW7.8 级地震的共震地表破裂(部分)情况
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100219
Yali Guo , Haofeng Li , Peng Liang, Renwei Xiong, Chaozhong Hu, Yueren Xu

Both MW 7.8 and MW 7.5 earthquakes occurred in southeastern Türkiye on February 6, 2023, resulting in numerous buildings collapsing and serious casualties. Understanding the distribution of coseismic surface ruptures and secondary disasters surrounding the epicentral area is important for post-earthquake emergency and disaster assessments. High-resolution Maxar and GF-2 satellite data were used after the events to extract the location of the rupture surrounding the first epicentral area. The results show that the length of the interpreted surface rupture zone (part of) is approximately 75 ​km, with a coseismic sinistral dislocation of 2–3 ​m near the epicenter; however, this reduced to zero at the tip of the southwest section of the East Anatolia Fault Zone. Moreover, dense soil liquefaction pits were triggered along the rupture trace. These events are in the western region of the Eurasian Seismic Belt and result from the subduction and collision of the Arabian and African Plates toward the Eurasian Plate. The western region of Chinese mainland and its adjacent areas are in the eastern section of the Eurasian Seismic Belt, where seismic activity is controlled by the collision of the Indian and Eurasian Plates. Both China and Türkiye have independent tectonic histories.

2023 年 2 月 6 日,土耳其东南部发生了 7.8 级和 7.5 级地震,造成大量建筑物倒塌和严重人员伤亡。了解震中地区周围共震地表破裂和次生灾害的分布情况对于震后应急和灾害评估非常重要。震后利用高分辨率 Maxar 和 GF-2 卫星数据提取了第一震中区周围的破裂位置。结果显示,所解释的地表断裂带(部分)长度约为 75 千米,震中附近有 2-3 米的共震正弦位移;但在东安纳托利亚断裂带西南段的顶端,这一位移减小为零。此外,沿断裂痕迹还引发了密集的土壤液化坑。这些事件发生在欧亚地震带西部地区,是阿拉伯板块和非洲板块向欧亚板块俯冲碰撞的结果。中国大陆西部及其邻近地区位于欧亚地震带的东段,地震活动受印度板块和欧亚板块碰撞的控制。中国和土耳其都有独立的构造历史。
{"title":"Preliminary report of coseismic surface rupture (part) of Türkiye's MW7.8 earthquake by remote sensing interpretation","authors":"Yali Guo ,&nbsp;Haofeng Li ,&nbsp;Peng Liang,&nbsp;Renwei Xiong,&nbsp;Chaozhong Hu,&nbsp;Yueren Xu","doi":"10.1016/j.eqrea.2023.100219","DOIUrl":"10.1016/j.eqrea.2023.100219","url":null,"abstract":"<div><p>Both <em>M</em><sub>W</sub> 7.8 and <em>M</em><sub>W</sub> 7.5 earthquakes occurred in southeastern Türkiye on February 6, 2023, resulting in numerous buildings collapsing and serious casualties. Understanding the distribution of coseismic surface ruptures and secondary disasters surrounding the epicentral area is important for post-earthquake emergency and disaster assessments. High-resolution Maxar and GF-2 satellite data were used after the events to extract the location of the rupture surrounding the first epicentral area. The results show that the length of the interpreted surface rupture zone (part of) is approximately 75 ​km, with a coseismic sinistral dislocation of 2–3 ​m near the epicenter; however, this reduced to zero at the tip of the southwest section of the East Anatolia Fault Zone. Moreover, dense soil liquefaction pits were triggered along the rupture trace. These events are in the western region of the Eurasian Seismic Belt and result from the subduction and collision of the Arabian and African Plates toward the Eurasian Plate. The western region of Chinese mainland and its adjacent areas are in the eastern section of the Eurasian Seismic Belt, where seismic activity is controlled by the collision of the Indian and Eurasian Plates. Both China and Türkiye have independent tectonic histories.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000167/pdfft?md5=d613dad248abfc6a120e8377925b2afd&pid=1-s2.0-S2772467023000167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84548264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial correlations in ground motion intensity measuring from the 2023 Türkiye earthquake 2023 年图尔基耶地震地动强度测量的空间相关性
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100231
Guoliang Shao , Ruizhi Wen , Hongwei Wang , Yeifei Ren , Baofeng Zhou

When evaluating an area's seismic risk or resilience, it is necessary to use the spatial correlation to analyze the ground motion parameters of multiple sites together in an earthquake. These two large earthquakes in Türkiye provided the possibility for spatial correlation analysis of ground motion intensity measurements in this area. Based on the strong motion records provided by The Disaster and Emergency Management Authority of Türkiye (AFAD), this study uses the local ground motion prediction equation ​in Türkiye to give spatial correlation analysis of Intensity Measurements. This study gives an exponential model based on a semivariogram and compares it with the correlation model obtained from previous studies.

在评估一个地区的地震风险或抗震能力时,有必要利用空间相关性来分析地震中多个地点的地动参数。图尔基耶的这两次大地震为该地区地动强度测量的空间相关性分析提供了可能。根据土耳其灾害和应急管理局(AFAD)提供的强震记录,本研究使用土耳其当地的地动预测方程对地震烈度测量结果进行空间相关性分析。本研究给出了一个基于半变量图的指数模型,并将其与之前研究得出的相关模型进行了比较。
{"title":"Spatial correlations in ground motion intensity measuring from the 2023 Türkiye earthquake","authors":"Guoliang Shao ,&nbsp;Ruizhi Wen ,&nbsp;Hongwei Wang ,&nbsp;Yeifei Ren ,&nbsp;Baofeng Zhou","doi":"10.1016/j.eqrea.2023.100231","DOIUrl":"10.1016/j.eqrea.2023.100231","url":null,"abstract":"<div><p>When evaluating an area's seismic risk or resilience, it is necessary to use the spatial correlation to analyze the ground motion parameters of multiple sites together in an earthquake. These two large earthquakes in Türkiye provided the possibility for spatial correlation analysis of ground motion intensity measurements in this area. Based on the strong motion records provided by The Disaster and Emergency Management Authority of Türkiye (AFAD), this study uses the local ground motion prediction equation ​in Türkiye to give spatial correlation analysis of Intensity Measurements. This study gives an exponential model based on a semivariogram and compares it with the correlation model obtained from previous studies.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100231"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000283/pdfft?md5=728d7d3fc0eae5d0f1dc09ac5890b7a9&pid=1-s2.0-S2772467023000283-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83060894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functions 利用 P 波接收函数分析江西省安源煤矿及其邻近地区的地壳结构
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100266
Xingmian Zhang , Meng Gong , Jian Lü , Hongxing Li , Jie Hu , Junwen He , Jianhua Peng , Bingyue Liu

We collected high-quality teleseismic events recorded by 12 broadband seismographs deployed in the Anyuan Coal Mine and its adjacent areas in Pingxiang City, Jiangxi Province for nearly two years. The H-κ-c stacking method was employed to obtain the crustal thickness and Poisson's ratio distribution, then the characteristics of crustal structure below the stations were obtained by using the time-domain linear inversion method. The crustal thickness in the Anyuan Coal Mine and its adjacent areas ranges from approximately 32 35 ​km, with an average thickness of 33 ​km, which is consistent with the crustal thickness results in South China from previous studies using the receiver function method. The average Poisson's ratio of the crustal bulk composition in the study area varies between 0.22 and 0.25, which is lower than the global value with a 0.27 average, indicating a predominantly intermediate-acidic or felsic crustal composition. There is a weak negative correlation between Poisson's ratio and crustal thickness estimates in the Anyuan Coal Mine and its adjacent areas, suggesting that the absence of mafic-ultramafic materials in the lower crust is associated with the process of crustal delamination. The velocity inversion results indicate that the crustal structure including three velocity discontinuity interfaces, with the first at a depth of approximately 1.5 ​km, the second at about 10 15 ​km, and the third being the Moho. The study also indicates that the results obtained by the H-κ-c stacking method are significantly better than those obtained by the H-κ method, effectively reducing the standard deviation and dispersion of crustal thickness and vP/vS ratio.

我们在江西省萍乡市安源煤矿及其邻近地区部署了 12 台宽带地震仪,收集了近两年的高质量远震事件。利用 H-κ-c 叠加法获得了地壳厚度和泊松比分布,然后利用时域线性反演法获得了台站下方的地壳结构特征。安源煤矿及其邻近地区的地壳厚度范围约为 32 ~ 35 km,平均厚度为 33 km,与以往接收函数法研究的华南地区地壳厚度结果一致。研究区地壳块体成分的泊松比平均值介于 0.22 和 0.25 之间,低于全球平均值 0.27,表明地壳成分以中酸性或长纤维状为主。安源煤矿及其邻近地区的泊松比与地壳厚度估算值之间存在微弱的负相关关系,表明地壳下部缺乏黑云母-超黑云母物质与地壳分层过程有关。速度反演结果表明,地壳结构包括三个速度不连续界面,第一个界面位于深度约 1.5 千米处,第二个界面位于深度约 10 ∼ 15 千米处,第三个界面为莫霍面。研究还表明,H-κ-c 叠加法得到的结果明显优于 H-κ 法得到的结果,有效降低了地壳厚度和 vP/vS 比值的标准偏差和离散度。
{"title":"Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functions","authors":"Xingmian Zhang ,&nbsp;Meng Gong ,&nbsp;Jian Lü ,&nbsp;Hongxing Li ,&nbsp;Jie Hu ,&nbsp;Junwen He ,&nbsp;Jianhua Peng ,&nbsp;Bingyue Liu","doi":"10.1016/j.eqrea.2023.100266","DOIUrl":"10.1016/j.eqrea.2023.100266","url":null,"abstract":"<div><p>We collected high-quality teleseismic events recorded by 12 broadband seismographs deployed in the Anyuan Coal Mine and its adjacent areas in Pingxiang City, Jiangxi Province for nearly two years. The <em>H-κ-c</em> stacking method was employed to obtain the crustal thickness and Poisson's ratio distribution, then the characteristics of crustal structure below the stations were obtained by using the time-domain linear inversion method. The crustal thickness in the Anyuan Coal Mine and its adjacent areas ranges from approximately 32 <span><math><mrow><mo>∼</mo></mrow></math></span> 35 ​km, with an average thickness of 33 ​km, which is consistent with the crustal thickness results in South China from previous studies using the receiver function method. The average Poisson's ratio of the crustal bulk composition in the study area varies between 0.22 and 0.25, which is lower than the global value with a 0.27 average, indicating a predominantly intermediate-acidic or felsic crustal composition. There is a weak negative correlation between Poisson's ratio and crustal thickness estimates in the Anyuan Coal Mine and its adjacent areas, suggesting that the absence of mafic-ultramafic materials in the lower crust is associated with the process of crustal delamination. The velocity inversion results indicate that the crustal structure including three velocity discontinuity interfaces, with the first at a depth of approximately 1.5 ​km, the second at about 10 <span><math><mrow><mo>∼</mo></mrow></math></span> 15 ​km, and the third being the Moho. The study also indicates that the results obtained by the <em>H-κ-c</em> stacking method are significantly better than those obtained by the <em>H-κ</em> method, effectively reducing the standard deviation and dispersion of crustal thickness and <em>v</em><sub>P</sub>/<em>v</em><sub>S</sub> ratio.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100266"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000635/pdfft?md5=9000a89726abc6d95fcb06f96e74538b&pid=1-s2.0-S2772467023000635-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135410962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monitoring seismicity in the southern Sichuan Basin using a machine learning workflow 利用机器学习工作流程监测四川盆地南部的地震活动性
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100241
Kang Wang, Jie Zhang, Ji Zhang, Zhangyu Wang, Huiyu Zhu

Monitoring seismicity in real time provides significant benefits for timely earthquake warning and analyses. In this study, we propose an automatic workflow based on machine learning (ML) to monitor seismicity in the southern Sichuan Basin of China. This workflow includes coherent event detection, phase picking, and earthquake location using three-component data from a seismic network. By combining PhaseNet, we develop an ML-based earthquake location model called PhaseLoc, to conduct real-time monitoring of the local seismicity. The approach allows us to use synthetic samples covering the entire study area to train PhaseLoc, addressing the problems of insufficient data samples, imbalanced data distribution, and unreliable labels when training with observed data. We apply the trained model to observed data recorded in the southern Sichuan Basin, China, between September 2018 and March 2019. The results show that the average differences in latitude, longitude, and depth are 5.7 ​km, 6.1 ​km, and 2 ​km, respectively, compared to the reference catalog. PhaseLoc combines all available phase information to make fast and reliable predictions, even if only a few phases are detected and picked. The proposed workflow may help real-time seismic monitoring in other regions as well.

实时监测地震为及时进行地震预警和分析提供了极大的便利。在本研究中,我们提出了一种基于机器学习(ML)的自动工作流程,用于监测中国四川盆地南部的地震活动。该工作流程包括利用地震台网的三分量数据进行相干事件检测、相位选取和地震定位。结合 PhaseNet,我们开发了基于 ML 的地震定位模型 PhaseLoc,对当地地震进行实时监测。这种方法允许我们使用覆盖整个研究区域的合成样本来训练 PhaseLoc,解决了使用观测数据训练时数据样本不足、数据分布不平衡和标签不可靠的问题。我们将训练好的模型应用于 2018 年 9 月至 2019 年 3 月期间在中国四川盆地南部记录的观测数据。结果显示,与参考目录相比,纬度、经度和深度的平均差异分别为 5.7 千米、6.1 千米和 2 千米。PhaseLoc 结合了所有可用的相位信息,即使只检测和选取几个相位,也能做出快速可靠的预测。所提出的工作流程也有助于其他地区的实时地震监测。
{"title":"Monitoring seismicity in the southern Sichuan Basin using a machine learning workflow","authors":"Kang Wang,&nbsp;Jie Zhang,&nbsp;Ji Zhang,&nbsp;Zhangyu Wang,&nbsp;Huiyu Zhu","doi":"10.1016/j.eqrea.2023.100241","DOIUrl":"10.1016/j.eqrea.2023.100241","url":null,"abstract":"<div><p>Monitoring seismicity in real time provides significant benefits for timely earthquake warning and analyses. In this study, we propose an automatic workflow based on machine learning (ML) to monitor seismicity in the southern Sichuan Basin of China. This workflow includes coherent event detection, phase picking, and earthquake location using three-component data from a seismic network. By combining PhaseNet, we develop an ML-based earthquake location model called PhaseLoc, to conduct real-time monitoring of the local seismicity. The approach allows us to use synthetic samples covering the entire study area to train PhaseLoc, addressing the problems of insufficient data samples, imbalanced data distribution, and unreliable labels when training with observed data. We apply the trained model to observed data recorded in the southern Sichuan Basin, China, between September 2018 and March 2019. The results show that the average differences in latitude, longitude, and depth are 5.7 ​km, 6.1 ​km, and 2 ​km, respectively, compared to the reference catalog. PhaseLoc combines all available phase information to make fast and reliable predictions, even if only a few phases are detected and picked. The proposed workflow may help real-time seismic monitoring in other regions as well.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100241"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000386/pdfft?md5=000545d80c5c533eeed4a1a61d570abb&pid=1-s2.0-S2772467023000386-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91214624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction to a recently released dataset entitled CSNCD: A Comprehensive Dataset of Chinese Seismic Network 最近发布的名为《CSNCD:中国地震台网综合数据集》的数据集简介
Pub Date : 2024-01-01 DOI: 10.1016/j.eqrea.2023.100255
Yanru An
{"title":"Introduction to a recently released dataset entitled CSNCD: A Comprehensive Dataset of Chinese Seismic Network","authors":"Yanru An","doi":"10.1016/j.eqrea.2023.100255","DOIUrl":"10.1016/j.eqrea.2023.100255","url":null,"abstract":"","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 1","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000520/pdfft?md5=617b58b14e346eef46dafb4adcc1cdb7&pid=1-s2.0-S2772467023000520-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135762738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Earthquake geochemical scientific expedition and research 地震地球化学科学考察和研究
Pub Date : 2023-10-01 DOI: 10.1016/j.eqrea.2023.100239
Chang Lu , Xiaocheng Zhou , Zhi Chen , Zhaofei Liu , Le Hu , Fengxia Sun , Giovanni Martinelli , Ying Li

Large earthquakes can cause both casualties and economic losses, but they also provide invaluable opportunities for earthquake scientific research. Geofluids, due to their wide distribution, sensitive response to underground conditions, and ease of observation, are widely applied in field investigations after earthquakes. Analyzing the origin of fluids, energy transfer processes, temperature/pressure conditions, and the spatial-temporal evolution of geofluids can provide valuable information concerning the mechanism of earthquake precursor anomalies, short-term prediction methods, identification of the seismogenic faults, determination of earthquake risk, and the environmental impact of post-earthquake fluids. This article details post-earthquake scientific expeditions and research on fluid geochemistry in China and abroad, aimed at providing ideas and guidance for future scientific expedition work and geochemistry-related earthquake studies.

大地震会造成人员伤亡和经济损失,但同时也为地震科学研究提供了宝贵的机会。地质流体分布广泛,对地下条件反应灵敏,易于观测,因此被广泛应用于地震后的现场调查。分析流体的起源、能量传递过程、温度/压力条件以及地质流体的时空演化,可以为地震前兆异常的机理、短期预测方法、成震断层的识别、地震风险的确定以及震后流体对环境的影响提供有价值的信息。本文详细介绍了国内外震后科学考察和流体地球化学研究情况,旨在为今后的科学考察工作和与地球化学相关的地震研究提供思路和指导。
{"title":"Earthquake geochemical scientific expedition and research","authors":"Chang Lu ,&nbsp;Xiaocheng Zhou ,&nbsp;Zhi Chen ,&nbsp;Zhaofei Liu ,&nbsp;Le Hu ,&nbsp;Fengxia Sun ,&nbsp;Giovanni Martinelli ,&nbsp;Ying Li","doi":"10.1016/j.eqrea.2023.100239","DOIUrl":"10.1016/j.eqrea.2023.100239","url":null,"abstract":"<div><p>Large earthquakes can cause both casualties and economic losses, but they also provide invaluable opportunities for earthquake scientific research. Geofluids, due to their wide distribution, sensitive response to underground conditions, and ease of observation, are widely applied in field investigations after earthquakes. Analyzing the origin of fluids, energy transfer processes, temperature/pressure conditions, and the spatial-temporal evolution of geofluids can provide valuable information concerning the mechanism of earthquake precursor anomalies, short-term prediction methods, identification of the seismogenic faults, determination of earthquake risk, and the environmental impact of post-earthquake fluids. This article details post-earthquake scientific expeditions and research on fluid geochemistry in China and abroad, aimed at providing ideas and guidance for future scientific expedition work and geochemistry-related earthquake studies.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"3 4","pages":"Article 100239"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000362/pdfft?md5=37f877c3a6846a87ce92325c164c33a4&pid=1-s2.0-S2772467023000362-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79258975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Propagation of crust deformation anomalies related to the Menyuan MS 6.9 earthquake 与门源 MS 6.9 级地震有关的地壳变形异常传播
Pub Date : 2023-10-01 DOI: 10.1016/j.eqrea.2023.100240
Anfu Niu , Chong Yue , Zhengyi Yuan , Jing Zhao , Wei Yan , Yuan Li

Decoding the variation laws of the deformation field before strong earthquakes has long been recognized as an essential issue in earthquake prediction research. In this paper, the temporal and spatial distribution characteristics of deformation anomalies in the northeastern margin of the Qinghai-Tibetan Plateau before and after the Menyuan MS 6.9 earthquake were studied by using the Fisher statistical test method. By analyzing the characteristics of these anomalies, we found that: 1) The deformation anomalies are mainly distributed in the marginal front area of the Qinghai-Tibetan Plateau, where short-term deformation anomalies are prone to occur due to a high gradient of gravity; 2) The deformation anomalies along the northeastern margin of the Qinghai-Tibetan Plateau are characterized by spatial propagation, and the migration rate is about 2.4 ​km/d. The propagation pattern is counterclockwise, consistent with the migration direction of MS ​≥ ​6.0 earthquakes; 3) The time and location of the Menyuan earthquake are related to the group migration of earthquakes with MS ​≥ ​6.0. Finally, based on the results of gravity field variation and the theory of crust stress wave, the law of deformation anomaly distribution was discussed. We suggest that both the deformation propagation along the northeastern margin of the Qinghai-Tibetan Plateau and the earthquake migration are possibly associated with the variation of the stress field caused by subsurface mass flow.

破解强震前形变场的变化规律一直是地震预测研究中的重要课题。本文利用费雪统计检验方法,研究了门源 MS 6.9 地震前后青藏高原东北缘形变异常的时空分布特征。通过分析这些异常的特征,我们发现1)变形异常主要分布在青藏高原边缘前缘地区,该地区重力梯度大,易发生短期变形异常;2)青藏高原东北边缘变形异常具有空间传播特征,迁移速率约为 2.4 km/d。传播规律为逆时针方向,与MS≥6.0地震的迁移方向一致;3)门源地震的发生时间和地点与MS≥6.0地震的群震迁移有关。最后,基于重力场变化结果和地壳应力波理论,讨论了变形异常分布规律。我们认为,青藏高原东北缘的形变传播和地震迁移都可能与地下物质流引起的应力场变化有关。
{"title":"Propagation of crust deformation anomalies related to the Menyuan MS 6.9 earthquake","authors":"Anfu Niu ,&nbsp;Chong Yue ,&nbsp;Zhengyi Yuan ,&nbsp;Jing Zhao ,&nbsp;Wei Yan ,&nbsp;Yuan Li","doi":"10.1016/j.eqrea.2023.100240","DOIUrl":"10.1016/j.eqrea.2023.100240","url":null,"abstract":"<div><p>Decoding the variation laws of the deformation field before strong earthquakes has long been recognized as an essential issue in earthquake prediction research. In this paper, the temporal and spatial distribution characteristics of deformation anomalies in the northeastern margin of the Qinghai-Tibetan Plateau before and after the Menyuan <em>M</em><sub>S</sub> 6.9 earthquake were studied by using the Fisher statistical test method. By analyzing the characteristics of these anomalies, we found that: 1) The deformation anomalies are mainly distributed in the marginal front area of the Qinghai-Tibetan Plateau, where short-term deformation anomalies are prone to occur due to a high gradient of gravity; 2) The deformation anomalies along the northeastern margin of the Qinghai-Tibetan Plateau are characterized by spatial propagation, and the migration rate is about 2.4 ​km/d. The propagation pattern is counterclockwise, consistent with the migration direction of <em>M</em><sub>S</sub> ​≥ ​6.0 earthquakes; 3) The time and location of the Menyuan earthquake are related to the group migration of earthquakes with <em>M</em><sub>S</sub> ​≥ ​6.0. Finally, based on the results of gravity field variation and the theory of crust stress wave, the law of deformation anomaly distribution was discussed. We suggest that both the deformation propagation along the northeastern margin of the Qinghai-Tibetan Plateau and the earthquake migration are possibly associated with the variation of the stress field caused by subsurface mass flow.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"3 4","pages":"Article 100240"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000374/pdfft?md5=1b194694e43a9533dbcc24e8153df132&pid=1-s2.0-S2772467023000374-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85294661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trade space for time for inspecting an earthquake cycle by modern seismological observation: The central-southern part of the Sichuan-Yunnan rhombic block 以空间换时间,用现代地震观测方法考察地震周期:四川-云南菱形地块的中南部地区
Pub Date : 2023-10-01 DOI: 10.1016/j.eqrea.2023.100254
Yue Liu, Zhongliang Wu, Peng Wang, Zhigang Shao, Yongxian Zhang

The central-southern part of the eastern border of the Sichuan-Yunnan rhombic block provides the research strategy of ‘trade space for time’ with an interesting fault system, where the segments have similar focal mechanisms and cover almost continuous spectra of elapse rates. We experiment to study the seismological characteristics of different segments with different elapse rates. We employed the de-clustered earthquake catalog for the calculation of b values for each segment. The analysis revealed that different segments have similar b values, which implies that, although different segments have different periods of earthquake recurrence, the 'natural time' for the whole fault system elapses with a homogeneous pace. We extended the earthquake potential score (EPS) for nowcasting earthquakes to a quasi-EPS (qEPS). It is found that qEPS increases with the increase of elapse rates, albeit for those fault segments whose elapse rates have exceeded 1, qEPS may better reflect the seismic hazard.

四川-云南菱形地块东部边界的中南部为 "以空间换时间 "的研究策略提供了一个有趣的断层系统,该断层系统各段具有相似的聚焦机制,并涵盖几乎连续的延时谱。我们通过实验研究了不同区段不同延时的地震学特征。我们采用去群集地震目录来计算每个区段的 b 值。分析表明,不同地段的 b 值相近,这意味着虽然不同地段的地震复发周期不同,但整个断层系统的 "自然时间 "是以相同的速度流逝的。我们将用于地震预报的地震潜势评分(EPS)扩展为准 EPS(qEPS)。研究发现,qEPS 随延时率的增加而增加,但对于延时率超过 1 的断层段,qEPS 可更好地反映地震危险性。
{"title":"Trade space for time for inspecting an earthquake cycle by modern seismological observation: The central-southern part of the Sichuan-Yunnan rhombic block","authors":"Yue Liu,&nbsp;Zhongliang Wu,&nbsp;Peng Wang,&nbsp;Zhigang Shao,&nbsp;Yongxian Zhang","doi":"10.1016/j.eqrea.2023.100254","DOIUrl":"10.1016/j.eqrea.2023.100254","url":null,"abstract":"<div><p>The central-southern part of the eastern border of the Sichuan-Yunnan rhombic block provides the research strategy of ‘trade space for time’ with an interesting fault system, where the segments have similar focal mechanisms and cover almost continuous spectra of elapse rates. We experiment to study the seismological characteristics of different segments with different elapse rates. We employed the de-clustered earthquake catalog for the calculation of <em>b</em> values for each segment. The analysis revealed that different segments have similar <em>b</em> values, which implies that, although different segments have different periods of earthquake recurrence, the 'natural time' for the whole fault system elapses with a homogeneous pace. We extended the earthquake potential score (<em>EPS</em>) for nowcasting earthquakes to a quasi-<em>EPS</em> (q<em>EPS</em>). It is found that q<em>EPS</em> increases with the increase of elapse rates, albeit for those fault segments whose elapse rates have exceeded 1, q<em>EPS</em> may better reflect the seismic hazard.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"3 4","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000519/pdfft?md5=5b28a4e5ef90024a418427db3b73b2f6&pid=1-s2.0-S2772467023000519-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135706034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Rupture process of the January 8, 2022, Menyuan M 6.9 earthquake 2022 年 1 月 8 日门源 M6.9 级地震的破裂过程
Pub Date : 2023-10-01 DOI: 10.1016/j.eqrea.2023.100268
Xun Wang, Cuiping Zhao

After the occurrence of destructively strong earthquakes, rapid acquisition of the source rupture process can provide important reference information for post-earthquake disaster relief and aftershock trend determination. An M 6.9 earthquake occurred in Menyuan County, Qinghai Province on January 8, 2022. The epicenter is located in the seismic gap in the middle section of the Haiyuan fault belt. Such a typical strong earthquake was taken as an example to investigate the rupture process of strong earthquakes. Three days after the earthquake, the InSAR (Interferometric Synthetic Aperture Radar) coseismic deformation field was obtained by Sentinel radar, indicating that the surface ruptured obviously. The southern block of the earthquake faces towards the satellite about 95 ​cm along the LOS (line of sight) direction, and the northern block is away from the satellite by ​∼ ​74 ​cm, consistent with the characteristic of left-lateral strike-slip motion. In this study, InSAR coseismic deformation data and far-field waveform data were used to jointly invert the earthquake rupture process, and a four-segment finite fault model was constructed by referring to the surface deformation. The inversion results show that the focal depth of the Menyuan earthquake is about 7 ​km, and the strike of the seismogenic fault is 89.0°, 104.0°, 119.0° and 131.0° from west to east, respectively. It is a high-dip left-lateral strike-slip earthquake event lasting about 14 ​s. The rupture propagation mode is a bilateral extension. The maximum slip along the fault is about 380 ​cm, and the seismic moment magnitude is 6.7. The surface rupture length is about 24 ​km, which is consistent with that measured in the field survey. The detailed seismic source model can provide basic data for the aftershock trend determination and seismic risk analysis of the adjacent active faults.

破坏性强震发生后,快速获取震源破裂过程可为震后救灾和余震趋势判断提供重要参考信息。2022 年 1 月 8 日,青海省门源县发生 M6.9 级地震。震中位于海原断裂带中段的地震缺口处。我们以这样一次典型强震为例,研究了强震的破裂过程。震后三天,哨兵雷达获得了 InSAR(干涉合成孔径雷达)共震形变场,表明地表破裂明显。沿 LOS(视线)方向,地震南侧地块朝向卫星约 95 厘米,北侧地块远离卫星约 74 厘米,符合左侧击滑运动的特征。本研究利用 InSAR 共震变形数据和远场波形数据共同反演地震破裂过程,并参考地表变形构建了四段有限断层模型。反演结果表明,门源地震的震源深度约为 7 km,发震断层走向自西向东分别为 89.0°、104.0°、119.0°和 131.0°。这是一次高倾角左侧走向滑动地震,持续时间约 14 秒。断裂传播方式为双边扩展。沿断层的最大滑移约为 380 厘米,地震矩震级为 6.7 级。地表断裂长度约为 24 千米,与实地勘测结果一致。详细的震源模型可为邻近活动断层的余震趋势判断和地震风险分析提供基础数据。
{"title":"Rupture process of the January 8, 2022, Menyuan M 6.9 earthquake","authors":"Xun Wang,&nbsp;Cuiping Zhao","doi":"10.1016/j.eqrea.2023.100268","DOIUrl":"10.1016/j.eqrea.2023.100268","url":null,"abstract":"<div><p>After the occurrence of destructively strong earthquakes, rapid acquisition of the source rupture process can provide important reference information for post-earthquake disaster relief and aftershock trend determination. An <em>M</em> 6.9 earthquake occurred in Menyuan County, Qinghai Province on January 8, 2022. The epicenter is located in the seismic gap in the middle section of the Haiyuan fault belt. Such a typical strong earthquake was taken as an example to investigate the rupture process of strong earthquakes. Three days after the earthquake, the InSAR (Interferometric Synthetic Aperture Radar) coseismic deformation field was obtained by Sentinel radar, indicating that the surface ruptured obviously. The southern block of the earthquake faces towards the satellite about 95 ​cm along the LOS (line of sight) direction, and the northern block is away from the satellite by ​∼ ​74 ​cm, consistent with the characteristic of left-lateral strike-slip motion. In this study, InSAR coseismic deformation data and far-field waveform data were used to jointly invert the earthquake rupture process, and a four-segment finite fault model was constructed by referring to the surface deformation. The inversion results show that the focal depth of the Menyuan earthquake is about 7 ​km, and the strike of the seismogenic fault is 89.0°, 104.0°, 119.0° and 131.0° from west to east, respectively. It is a high-dip left-lateral strike-slip earthquake event lasting about 14 ​s. The rupture propagation mode is a bilateral extension. The maximum slip along the fault is about 380 ​cm, and the seismic moment magnitude is 6.7. The surface rupture length is about 24 ​km, which is consistent with that measured in the field survey. The detailed seismic source model can provide basic data for the aftershock trend determination and seismic risk analysis of the adjacent active faults.</p></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"3 4","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772467023000659/pdfft?md5=7198aa9a4d3506847ac3590d5773e836&pid=1-s2.0-S2772467023000659-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136094846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Earthquake Research Advances
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1