Earthquake Science最新文献

英文中文

Predicting peak ground acceleration using the ConvMixer network 使用ConvMixer网络预测峰值地面加速度

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.11.005

Mona Mohammed , Omar M. Saad , Arabi Keshk , Hatem M. Ahmed

The level of ground shaking, as determined by the peak ground acceleration (PGA), can be used to analyze seismic hazard at a certain location and is crucial for constructing earthquake-resistant structures. Predicting the PGA immediately after an earthquake occurs allows for the issuing of a warning by an earthquake early warning system. In this study, we propose a deep learning model, ConvMixer, to predict the PGA recorded by weak-motion velocity seismometers in Japan. We use 5-s three-component seismograms, from 2 s before until 3 s after the P-wave arrival time of the earthquake. Our dataset comprised more than 50,000 single-station waveforms recorded by 10 seismic stations in the K-NET, Kiki-NET, and Hi-Net networks between 2004 and 2023. The proposed ConvMixer is a patch-based model that extracts global features from input seismic data and predicts the PGA of an earthquake by combining depth and pointwise convolutions. The proposed ConvMixer network had a mean absolute error of 2.143 when applied to the test set and outperformed benchmark deep learning models. In addition, the proposed ConvMixer demonstrated the ability to predict the PGA at the corresponding station site based on 1-second waveforms obtained immediately after the arrival time of the P-wave.

由峰值地加速度（PGA）确定的地震动水平可以用来分析某一地点的地震危险性，对抗震结构的建设至关重要。在地震发生后立即预测PGA可以使地震预警系统发出警告。在这项研究中，我们提出了一个深度学习模型，ConvMixer，以预测日本弱运动速度地震仪记录的PGA。我们使用5秒的三分量地震图，从地震前2秒到地震后3秒。我们的数据集包括2004年至2023年间K-NET、Kiki-NET和Hi-Net网络上10个地震台站记录的50,000多个单站波形。所提出的ConvMixer是一种基于patch的模型，它从输入的地震数据中提取全局特征，并通过结合深度卷积和点卷积来预测地震的PGA。当应用于测试集时，所提出的ConvMixer网络的平均绝对误差为2.143，优于基准深度学习模型。此外，所提出的ConvMixer能够根据p波到达时间后立即获得的1秒波形预测相应站点的PGA。

{"title":"Predicting peak ground acceleration using the ConvMixer network","authors":"Mona Mohammed , Omar M. Saad , Arabi Keshk , Hatem M. Ahmed","doi":"10.1016/j.eqs.2024.11.005","DOIUrl":"10.1016/j.eqs.2024.11.005","url":null,"abstract":"<div><div>The level of ground shaking, as determined by the peak ground acceleration (PGA), can be used to analyze seismic hazard at a certain location and is crucial for constructing earthquake-resistant structures. Predicting the PGA immediately after an earthquake occurs allows for the issuing of a warning by an earthquake early warning system. In this study, we propose a deep learning model, ConvMixer, to predict the PGA recorded by weak-motion velocity seismometers in Japan. We use 5-s three-component seismograms, from 2 s before until 3 s after the P-wave arrival time of the earthquake. Our dataset comprised more than 50,000 single-station waveforms recorded by 10 seismic stations in the K-NET, Kiki-NET, and Hi-Net networks between 2004 and 2023. The proposed ConvMixer is a patch-based model that extracts global features from input seismic data and predicts the PGA of an earthquake by combining depth and pointwise convolutions. The proposed ConvMixer network had a mean absolute error of 2.143 when applied to the test set and outperformed benchmark deep learning models. In addition, the proposed ConvMixer demonstrated the ability to predict the PGA at the corresponding station site based on 1-second waveforms obtained immediately after the arrival time of the P-wave.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 2","pages":"Pages 126-135"},"PeriodicalIF":1.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A few nifty tips for conducting scientific research 进行科学研究的几个小技巧

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.11.003

Lupei Zhu

Scientific research is a journey into an uncharted territory. Researchers need to have the big picture for navigation and at the same time be detail-oriented, as details make a difference. Here I offer a few tips for conducting research that I summarized based on my 30+ years of research experience.

科学研究是一次进入未知领域的旅行。研究人员需要有一个大的导航图，同时注重细节，因为细节会产生影响。在这里，我根据自己30多年的研究经验总结了一些进行研究的技巧。

引用次数: 0

3D crustal density modeling of Egypt using GOCE satellite gravity data and seismic integration 利用GOCE卫星重力数据和地震积分进行埃及三维地壳密度模拟

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.09.003

Moataz Sayed , Mohamed Sobh , Salah Saleh , Amal Othman , Ahmed Elmahmoudi

A 3D crustal model was constructed using a combination of cutting-edge techniques, which were integrated to provide a density model for Egypt and address the sporadic distribution of seismic data. These techniques include obtaining gravity data from the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE), creating seismic profiles, analyzing the receiver functions of seismic data, obtaining information from boreholes, and providing geological interpretations. GOCE satellite gravity data were processed to construct a preliminary model based on nonlinear inversions of the data. A regional crustal thickness model was developed using receiver functions, seismic refraction profiles, and geological insights. The inverted model was validated using borehole data and compared with seismic estimates. The model exhibited strong consistency and revealed a correlation between crustal thickness, geology, and tectonics of Egypt. It showed that the shallowest depths of the Moho are located in the north along the Mediterranean Sea and in the eastern part along the Red Sea, reflecting an oceanic plate with a thin, high-density crust. The deepest Moho depths are located in the southwestern part of Egypt, Red Sea coastal mountains, and Sinai Peninsula. The obtained 3D model of crustal thickness provided finely detailed Moho depth estimates that aligned closely with geology and tectonic characteristics of Egypt, contributing valuable insights into the subsurface structure and tectonic processes of region.

结合尖端技术构建了三维地壳模型，为埃及提供了密度模型，并解决了地震数据的零星分布问题。这些技术包括从重力场和稳态海洋环流探测器（GOCE）获取重力数据，创建地震剖面，分析地震数据的接收函数，从钻孔中获取信息，以及提供地质解释。对GOCE卫星重力数据进行处理，建立了基于非线性反演的初步模型。利用接收函数、地震折射剖面和地质资料建立了区域地壳厚度模型。利用井眼数据对反演模型进行了验证，并与地震估计结果进行了比较。该模型具有很强的一致性，并揭示了埃及地壳厚度、地质和构造之间的相关性。结果表明，莫霍构造的最浅深度位于地中海北部和红海东部，反映了一个薄而高密度地壳的海洋板块。最深的莫霍深度位于埃及西南部、红海沿岸山脉和西奈半岛。获得的地壳厚度3D模型提供了非常详细的莫霍深度估计，与埃及的地质和构造特征密切相关，为了解该地区的地下结构和构造过程提供了有价值的见解。

{"title":"3D crustal density modeling of Egypt using GOCE satellite gravity data and seismic integration","authors":"Moataz Sayed , Mohamed Sobh , Salah Saleh , Amal Othman , Ahmed Elmahmoudi","doi":"10.1016/j.eqs.2024.09.003","DOIUrl":"10.1016/j.eqs.2024.09.003","url":null,"abstract":"<div><div>A 3D crustal model was constructed using a combination of cutting-edge techniques, which were integrated to provide a density model for Egypt and address the sporadic distribution of seismic data. These techniques include obtaining gravity data from the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE), creating seismic profiles, analyzing the receiver functions of seismic data, obtaining information from boreholes, and providing geological interpretations. GOCE satellite gravity data were processed to construct a preliminary model based on nonlinear inversions of the data. A regional crustal thickness model was developed using receiver functions, seismic refraction profiles, and geological insights. The inverted model was validated using borehole data and compared with seismic estimates. The model exhibited strong consistency and revealed a correlation between crustal thickness, geology, and tectonics of Egypt. It showed that the shallowest depths of the Moho are located in the north along the Mediterranean Sea and in the eastern part along the Red Sea, reflecting an oceanic plate with a thin, high-density crust. The deepest Moho depths are located in the southwestern part of Egypt, Red Sea coastal mountains, and Sinai Peninsula. The obtained 3D model of crustal thickness provided finely detailed Moho depth estimates that aligned closely with geology and tectonic characteristics of Egypt, contributing valuable insights into the subsurface structure and tectonic processes of region.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 2","pages":"Pages 110-125"},"PeriodicalIF":1.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A correlation study of selected geomagnetic events recorded by the Egyptian observatories and INTERMAGNET stations 埃及天文台和INTERMAGNET台站记录的选定地磁事件的相关性研究

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.09.001

Aalaa Samy, Tarek Arafa-Hamed, Abdou Abdelkader, Ahmed Khashaba, Emad Takla

Geomagnetic observatory data are crucial for all branches of geophysics because they can contribute to earthquake research by detecting anomalies in the Earth’s magnetic field. Recently, data records from the Misallat (MLT) and Abu Simbel (ABS) Egyptian geomagnetic observatories were processed and found to be of good quality. In this study, Egyptian observatory data were tested during both quiet and disturbed events and compared with data from INTERMAGNET observatories worldwide at different latitudes and within a narrow range of longitudes in both hemispheres. This study investigated the relationships between magnetic field components from Egyptian observatories and those from INTERMAGNET observatories using graphical representations of the X components; Pearson’s correlation for the X, Y, Z, and F components; cross-correlation for the X component; and wavelet coherence for the F component. The results of this study showed a high correlation between Egyptian observatories and all utilized INTERMAGNET stations, except those located at high latitudes, during both quiet and disturbed events. Additionally, the study confirmed the observed consistency between Egyptian observatories and selected INTERMAGNET stations. Therefore, Egyptian observatories can feasibly fill the gap in the Middle East and North Africa.

地磁观测数据对地球物理学的所有分支都是至关重要的，因为它们可以通过探测地球磁场的异常情况来促进地震研究。最近，对埃及Misallat （MLT）和Abu Simbel （ABS）地磁观测站的数据记录进行了处理，发现质量很好。在这项研究中，埃及天文台的数据在平静和扰动事件期间进行了测试，并与INTERMAGNET在两个半球不同纬度和狭窄经度范围内的全球天文台的数据进行了比较。本研究利用X分量的图形表示研究了埃及天文台和INTERMAGNET天文台磁场分量之间的关系；X、Y、Z和F分量的Pearson相关性；X分量的相互关系；F分量的小波相干性。这项研究的结果表明，在平静和扰动事件期间，埃及天文台与所有利用的INTERMAGNET台站之间存在高度相关性，位于高纬度地区的台站除外。此外，该研究证实了埃及观测站与选定的INTERMAGNET观测站之间观测到的一致性。因此，埃及的天文台可以填补中东和北非的空白。

{"title":"A correlation study of selected geomagnetic events recorded by the Egyptian observatories and INTERMAGNET stations","authors":"Aalaa Samy, Tarek Arafa-Hamed, Abdou Abdelkader, Ahmed Khashaba, Emad Takla","doi":"10.1016/j.eqs.2024.09.001","DOIUrl":"10.1016/j.eqs.2024.09.001","url":null,"abstract":"<div><div>Geomagnetic observatory data are crucial for all branches of geophysics because they can contribute to earthquake research by detecting anomalies in the Earth’s magnetic field. Recently, data records from the Misallat (MLT) and Abu Simbel (ABS) Egyptian geomagnetic observatories were processed and found to be of good quality. In this study, Egyptian observatory data were tested during both quiet and disturbed events and compared with data from INTERMAGNET observatories worldwide at different latitudes and within a narrow range of longitudes in both hemispheres. This study investigated the relationships between magnetic field components from Egyptian observatories and those from INTERMAGNET observatories using graphical representations of the <em>X</em> components; Pearson’s correlation for the <em>X</em>, <em>Y</em>, <em>Z</em>, and <em>F</em> components; cross-correlation for the <em>X</em> component; and wavelet coherence for the <em>F</em> component. The results of this study showed a high correlation between Egyptian observatories and all utilized INTERMAGNET stations, except those located at high latitudes, during both quiet and disturbed events. Additionally, the study confirmed the observed consistency between Egyptian observatories and selected INTERMAGNET stations. Therefore, Egyptian observatories can feasibly fill the gap in the Middle East and North Africa.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 2","pages":"Pages 81-92"},"PeriodicalIF":1.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-parameter modeling and analysis of ground motion amplification in the Quaternary sedimentary basin of the Beijing-Tianjin-Hebei region 京津冀地区第四纪沉积盆地地震动放大多参数模拟与分析

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.11.002

Hong Zhou

Basin effect was first described following the analysis of seismic ground motion associated with the 1985 M_W8.1 earthquake in Mexico. Basins affect the propagation of seismic waves through various mechanisms, and several unique phenomena, such as the basin edge effect, basin focusing effect, and basin-induced secondary waves, have been observed. Understanding and quantitatively predicting these phenomena are crucial for earthquake disaster reduction. Some pioneering studies in this field have proposed a quantitative relationship between the basin effect on ground motion and basin depth. Unfortunately, basin effect phenomena predicted using a model based only on basin depth exhibit large deviations from actual distributions, implying the severe shortcomings of single-parameter basin effect modeling. Quaternary sediments are thick and widely distributed in the Beijing-Tianjin-Hebei region. The seismic media inside and outside of this basin have significantly different physical properties, and the basin bottom forms an interface with strong seismic reflections. In this study, we established a three-dimensional structure model of the Quaternary sedimentary basin based on the velocity structure model of the North China Craton and used it to simulate the ground motion under a strong earthquake following the spectral element method, obtaining the spatial distribution characteristics of the ground motion amplification ratio throughout the basin. The back-propagation(BP) neural network algorithm was then introduced to establish a multi-parameter mathematical model for predicting ground motion amplification ratios, with the seismic source location, physical property ratio of the media inside and outside the basin, seismic wave frequency, and basin shape as the input parameters. We then examined the main factors influencing the amplification of seismic ground motion in basins based on the prediction results, and concluded that the main factors influencing the basin effect are basin shape and differences in the physical properties of media inside and outside the basin.

在对1985年墨西哥MW8.1地震的地面运动分析之后，首次描述了盆地效应。盆地通过多种机制影响地震波的传播，并观测到盆地边缘效应、盆地聚焦效应和盆地次生波等独特现象。了解和定量预测这些现象对减少地震灾害至关重要。该领域的一些开创性研究已经提出了盆地对地面运动的影响与盆地深度之间的定量关系。遗憾的是，仅基于盆地深度的模型预测的盆地效应现象与实际分布存在较大偏差，这表明单参数盆地效应模型存在严重缺陷。京津冀地区第四纪沉积物厚度大、分布广。盆地内外地震介质物性差异明显，盆地底部形成强地震反射界面。本研究在华北克拉通速度结构模型的基础上，建立了第四纪沉积盆地三维结构模型，并运用谱元法模拟了强震作用下的地震动，得到了整个盆地地震动放大比的空间分布特征。以震源位置、盆内外介质物性比、地震波频率和盆地形状为输入参数，引入BP神经网络算法，建立了预测地震动放大比的多参数数学模型。基于预测结果，分析了影响盆地地震动放大的主要因素，认为影响盆地效应的主要因素是盆地形状和盆内外介质物性差异。

{"title":"Multi-parameter modeling and analysis of ground motion amplification in the Quaternary sedimentary basin of the Beijing-Tianjin-Hebei region","authors":"Hong Zhou","doi":"10.1016/j.eqs.2024.11.002","DOIUrl":"10.1016/j.eqs.2024.11.002","url":null,"abstract":"<div><div>Basin effect was first described following the analysis of seismic ground motion associated with the 1985 <em>M</em><sub>W</sub>8.1 earthquake in Mexico. Basins affect the propagation of seismic waves through various mechanisms, and several unique phenomena, such as the basin edge effect, basin focusing effect, and basin-induced secondary waves, have been observed. Understanding and quantitatively predicting these phenomena are crucial for earthquake disaster reduction. Some pioneering studies in this field have proposed a quantitative relationship between the basin effect on ground motion and basin depth. Unfortunately, basin effect phenomena predicted using a model based only on basin depth exhibit large deviations from actual distributions, implying the severe shortcomings of single-parameter basin effect modeling. Quaternary sediments are thick and widely distributed in the Beijing-Tianjin-Hebei region. The seismic media inside and outside of this basin have significantly different physical properties, and the basin bottom forms an interface with strong seismic reflections. In this study, we established a three-dimensional structure model of the Quaternary sedimentary basin based on the velocity structure model of the North China Craton and used it to simulate the ground motion under a strong earthquake following the spectral element method, obtaining the spatial distribution characteristics of the ground motion amplification ratio throughout the basin. The back-propagation(BP) neural network algorithm was then introduced to establish a multi-parameter mathematical model for predicting ground motion amplification ratios, with the seismic source location, physical property ratio of the media inside and outside the basin, seismic wave frequency, and basin shape as the input parameters. We then examined the main factors influencing the amplification of seismic ground motion in basins based on the prediction results, and concluded that the main factors influencing the basin effect are basin shape and differences in the physical properties of media inside and outside the basin.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 2","pages":"Pages 136-151"},"PeriodicalIF":1.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The quest for good research ideas 寻找好的研究思路

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.11.004

John Emilio Vidale

The search for new research ideas is a central challenge for many scientists. Over the past four decades, I have formed opinions on methods for discerning promising paths from how my own work has advanced in fits and starts. I list five criteria whose relevance and utility I have assessed based on my checkered history of research.

寻找新的研究思路是许多科学家面临的主要挑战。在过去的四十年里，我从自己断断续续的工作进展中，形成了一些辨别有前途的道路的方法。我列出了五个标准，这些标准的相关性和实用性是我根据自己的研究历史进行评估的。

引用次数: 0

High-quality control of receiver functions using a capsule neural network 高质量的控制接收函数使用胶囊神经网络

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2024.09.002

Mona H. Hegazi , Ahmad M. Faried , Omar M. Saad

The Red Sea-Gulf of Suez-Cairo-Alexandria Clysmic-Trend in northern Egypt is the main earthquake zone in the country, with a moderate-to-high seismic hazard and a history of significant earthquakes caused by rifting and active faulting. To improve our understanding of the tectonic and seismic processes in this area, more comprehensive imaging of the crustal structure is required. This can be achieved by increasing the number of receiver functions (RFs) recorded by the seismic stations in northern Egypt and the southeastern Mediterranean. Data handling and processing should also be automated to increase process efficiency. In this study, we developed a capsule neural network for automated selection of RFs. The model was trained on a dataset containing RFs (both selected and unselected) from five broadband stations in northern Egypt. Stations SLM, SIWA, KOT, NBNS, and NKL are located in the unstable shelf region of Egypt, where limited knowledge of the deep crustal structure is available. The proposed capsule neural network achieved an average precision of 80% on the test set. The automated selection of RFs using a capsule neural network has the potential to significantly improve the efficiency and accuracy of RF analysis, as demonstrated by the stacking test. This could lead to a better understanding of crustal structure and tectonic processes in northern Egypt and the southeastern Mediterranean.

埃及北部的红海-苏伊斯湾-开罗-亚历山大港-克莱斯韦特是该国的主要地震带，具有中高地震危险性，并且有由裂谷和活动断层引起的重大地震的历史。为了提高我们对该地区构造和地震过程的认识，需要对地壳结构进行更全面的成像。这可以通过增加埃及北部和地中海东南部地震台站记录的接收函数（rf）的数量来实现。数据处理和处理也应该自动化，以提高流程效率。在这项研究中，我们开发了一个胶囊神经网络，用于自动选择rf。该模型是在包含来自埃及北部五个宽带站的rf（包括选定的和未选定的）数据集上进行训练的。SLM、SIWA、KOT、NBNS和NKL台站位于埃及不稳定陆架区，对地壳深部结构的了解有限。所提出的胶囊神经网络在测试集上的平均精度达到80%。正如堆叠测试所证明的那样，使用胶囊神经网络自动选择RF有可能显著提高RF分析的效率和准确性。这将有助于更好地了解埃及北部和地中海东南部的地壳结构和构造过程。

{"title":"High-quality control of receiver functions using a capsule neural network","authors":"Mona H. Hegazi , Ahmad M. Faried , Omar M. Saad","doi":"10.1016/j.eqs.2024.09.002","DOIUrl":"10.1016/j.eqs.2024.09.002","url":null,"abstract":"<div><div>The Red Sea-Gulf of Suez-Cairo-Alexandria Clysmic-Trend in northern Egypt is the main earthquake zone in the country, with a moderate-to-high seismic hazard and a history of significant earthquakes caused by rifting and active faulting. To improve our understanding of the tectonic and seismic processes in this area, more comprehensive imaging of the crustal structure is required. This can be achieved by increasing the number of receiver functions (RFs) recorded by the seismic stations in northern Egypt and the southeastern Mediterranean. Data handling and processing should also be automated to increase process efficiency. In this study, we developed a capsule neural network for automated selection of RFs. The model was trained on a dataset containing RFs (both selected and unselected) from five broadband stations in northern Egypt. Stations SLM, SIWA, KOT, NBNS, and NKL are located in the unstable shelf region of Egypt, where limited knowledge of the deep crustal structure is available. The proposed capsule neural network achieved an average precision of 80% on the test set. The automated selection of RFs using a capsule neural network has the potential to significantly improve the efficiency and accuracy of RF analysis, as demonstrated by the stacking test. This could lead to a better understanding of crustal structure and tectonic processes in northern Egypt and the southeastern Mediterranean.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 2","pages":"Pages 93-109"},"PeriodicalIF":1.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Overview of the focus issue on enhancing earthquake research through geomagnetic and seismic data analysis 通过地磁和地震资料分析加强地震研究的重点问题综述

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-27 DOI: 10.1016/j.eqs.2025.01.001

Frédéric Masson , Omar M. Saad , Mohamed Abdel Zaher , Xiaodong Song

引用次数: 0

Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlation 利用环境噪声相关技术监测东滩煤矿地震速度变化

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-01 DOI: 10.1016/j.eqs.2024.08.001

Chao Kong , Kai Zhan , Xiaotao Wen , Ping Song , Lianhai Zhang , Hanying Ding

This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China. The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine, with station spacing ranging from 0.1 km to approximately 3 km. Using the causal and non-causal components of the Z-component cross-correlation function, along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay, stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz. We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes. In particular, when the relative seismic velocity increased by 0.23%, larger energy minequakes typically occurred. This study shows that ambient noise correlation has great potential for predicting minequakes, guiding pressure-relief production, and providing warnings about the impact of overburden pressure.

利用MSNoise软件包对东滩煤矿6采区地下地震波波速进行时序监测，分析环境地震噪声。东滩煤矿部署了7个三分量微震台站和10个单分量微震台站，台站间距从0.1 km到约3 km不等，连续记录了76天的数据。利用z分量互相关函数的因果分量和非因果分量，结合移动窗口交叉频谱分析和5天窗口叠加的累积计算，在0.1 ~ 2 Hz频段内获得了稳定的地震速度变化。我们发现平均速度变化的时间与地下开采过程引起的地震事件之间存在相关性。特别是当相对地震速度增加0.23%时，通常会发生较大能量的小震。研究表明，环境噪声相关性在预测微震、指导泄压生产、预警覆岩压力影响等方面具有很大的潜力。

{"title":"Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlation","authors":"Chao Kong , Kai Zhan , Xiaotao Wen , Ping Song , Lianhai Zhang , Hanying Ding","doi":"10.1016/j.eqs.2024.08.001","DOIUrl":"10.1016/j.eqs.2024.08.001","url":null,"abstract":"<div><div>This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China. The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine, with station spacing ranging from 0.1 km to approximately 3 km. Using the causal and non-causal components of the <em>Z</em>-component cross-correlation function, along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay, stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz. We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes. In particular, when the relative seismic velocity increased by 0.23%, larger energy minequakes typically occurred. This study shows that ambient noise correlation has great potential for predicting minequakes, guiding pressure-relief production, and providing warnings about the impact of overburden pressure.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 1","pages":"Pages 47-55"},"PeriodicalIF":1.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the data quality and seismic monitoring capabilities of the Belt and Road GNSS network 评估“一带一路”GNSS网络的数据质量和地震监测能力

IF 1.2 4区地球科学 Q3 Earth and Planetary Sciences

Earthquake Science

Pub Date : 2025-02-01 DOI: 10.1016/j.eqs.2024.09.007

Yu Li , Yinxing Shao , Tan Wang , Yuebing Wang , Hongbo Shi

The Belt and Road global navigation satellite system (B&R GNSS) network is the first large-scale deployment of Chinese GNSS equipment in a seismic system. Prior to this, there have been few systematic assessments of the data quality of Chinese GNSS equipment. In this study, data from four representative GNSS sites in different regions of China were analyzed using the G-Nut/Anubis software package. Four main indicators (data integrity rate, data validity ratio, multi-path error, and cycle slip ratio) used to systematically analyze data quality, while evaluating the seismic monitoring capabilities of the network based on earthquake magnitudes estimated from high-frequency GNSS data are evaluated by estimating magnitude based on high-frequency GNSS data. The results indicate that the quality of the data produced by the three types of Chinese receivers used in the network meets the needs of earthquake monitoring and the new seismic industry standards, which provide a reference for the selection of equipment for future new projects. After the B&R GNSS network was established, the seismic monitoring capability for earthquakes with magnitudes greater than M_W6.5 in most parts of the Sichuan-Yunnan region improved by approximately 20%. In key areas such as the Sichuan-Yunnan Rhomboid Block, the monitoring capability increased by more than 25%, which has greatly improved the effectiveness of regional comprehensive earthquake management.

“一带一路”全球导航卫星系统（B&R GNSS）网络是中国GNSS设备首次在地震系统中大规模部署。在此之前，对中国GNSS设备数据质量的系统评估很少。本研究利用G-Nut/Anubis软件包对中国不同地区4个代表性GNSS站点的数据进行分析。系统分析数据质量主要采用数据完整性、数据有效性、多径误差和周滑比4个指标，而基于高频GNSS数据估算地震震级评价台网地震监测能力，通过基于高频GNSS数据估算震级来评价台网地震监测能力。结果表明，三种中文接收机所产生的数据质量均满足地震监测的需要和地震新行业标准的要求，为今后新建工程的设备选型提供了参考。B&；R GNSS网络建立后，川滇地区大部分地区震级6.5以上地震监测能力提高了约20%。在川滇菱形地块等重点地区，监测能力提高25%以上，大大提高了区域地震综合管理的有效性。

{"title":"Assessing the data quality and seismic monitoring capabilities of the Belt and Road GNSS network","authors":"Yu Li , Yinxing Shao , Tan Wang , Yuebing Wang , Hongbo Shi","doi":"10.1016/j.eqs.2024.09.007","DOIUrl":"10.1016/j.eqs.2024.09.007","url":null,"abstract":"<div><div>The Belt and Road global navigation satellite system (B&R GNSS) network is the first large-scale deployment of Chinese GNSS equipment in a seismic system. Prior to this, there have been few systematic assessments of the data quality of Chinese GNSS equipment. In this study, data from four representative GNSS sites in different regions of China were analyzed using the G-Nut/Anubis software package. Four main indicators (data integrity rate, data validity ratio, multi-path error, and cycle slip ratio) used to systematically analyze data quality, while evaluating the seismic monitoring capabilities of the network based on earthquake magnitudes estimated from high-frequency GNSS data are evaluated by estimating magnitude based on high-frequency GNSS data. The results indicate that the quality of the data produced by the three types of Chinese receivers used in the network meets the needs of earthquake monitoring and the new seismic industry standards, which provide a reference for the selection of equipment for future new projects. After the B&R GNSS network was established, the seismic monitoring capability for earthquakes with magnitudes greater than <em>M</em><sub>W</sub>6.5 in most parts of the Sichuan-Yunnan region improved by approximately 20%. In key areas such as the Sichuan-Yunnan Rhomboid Block, the monitoring capability increased by more than 25%, which has greatly improved the effectiveness of regional comprehensive earthquake management.</div></div>","PeriodicalId":46333,"journal":{"name":"Earthquake Science","volume":"38 1","pages":"Pages 56-66"},"PeriodicalIF":1.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Earthquake Science

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.

﹀