长江三峡库区秭归杨林桥镇震群成因

对三峡数字地震台网记录的2016年3—6月三峡工程库区秭归库段杨林桥镇小震群进行双差精定位,通过Snoke方法计算该震群中较大地震的震源机制解,并结合野外宏观调查等方法,分析震源参数的时空变化特征。结果表明:杨林桥镇小震群密集分布在2 km×3 km矩形范围内,有较明显的展布方向,但与邻近的仙女山断裂、九畹溪断裂和天阳坪断裂走向不一致;震群距长江干流超过10 km,与三峡水库无水利联系,无相关性;震群展布方向上有岩溶洞分布,且降雨丰富,初步判断成因类型为岩溶塌陷型。     

分布式地震应急救援态势标绘系统

地震现场救援要素众多,部署分散,为了统一管理救援要素,综合展示救援态势,设计一种基于B/S架构的地震应急救援态势标绘系统,采用Google Maps API v3实现前端Web GIS功能,加载谷歌地图,标绘震情灾情和救援要素信息,通过AJAX方式与服务器端进行数据交互,保存要素信息或者获取服务器端数据,系统设计聊天室功能,登录用户可以在线实时交流。本系统对使用环境要求低,支持多种移动终端,适合地震现场人员使用,实现了分布式要素标绘功能,是地震现场救援行动的有效辅助决策工具。     

易县地震台四分量钻孔应变观测震前异常特征

通过对河北易县地震台钻孔应变资料进行处理,发现在2014年9月6日涿鹿4.3级和2015年9月14日昌黎4.2级地震前,该台四分量钻孔应变观测到显著前兆异常变化,与2012年5月28日唐山4.8级地震前出现的异常相似度较高,异常形态均表现为"来快去慢",均在极值附近维持数日后,逐渐恢复原值过程中发生地震。     

石家庄地震前兆台网月评价系统

基于VB语言,利用C/S架构,编写石家庄地震前兆台网月评价系统,设置不同功能单元,开展仪器运行监控、台网日常运维监控,通过界面选择相应日期,读取省前兆台网中心发布的《运行监控日报》等Excel文件,使用input box函数等在文本框中输入、统计、计算,并显示地震前兆台网月评价成绩及台网运行情况。     

甘孜-玉树断裂带晚第四纪走滑速率与滑动分解作用

滑动速率是研究断裂运动学特征、地震活动性和区域应变分配的重要参数和依据。前人关于甘孜-玉树断裂带滑动速率的研究结果存在较大差异,因此,其晚第四纪滑动速率有待进一步调查研究。本文基于卫星影像解译和野外实地考察,对甘孜-玉树断裂带西段（玉树断裂）上典型断错地貌点进行测量分析,得到玉树断裂晚第四纪走滑速率为6.6±0.1-7.4±1.2mm/a。通过与前人对甘孜-玉树断裂带东段（甘孜断裂）滑动速率的研究结果进行对比,发现甘孜-玉树断裂带东、西段滑动速率不一致,其原因是甘孜断裂的左旋滑移在向西传递的过程中,一部分应变被分配到了巴塘盆地南缘断裂上。巴塘盆地南缘断裂的存在很好地解释了玉树断裂的走滑速率比甘孜断裂偏低的原因。但是,从区域变形来看,巴塘盆地南缘断裂分配的滑动速率恰好说明了甘孜-玉树断裂带东、西段及鲜水河断裂带的水平构造变形是协调一致的。     

宽频带超导重力仪的研制进展

本文报道一种构建宽频带高分辨率超导重力仪（SG）的方法.与已商业化的GWR超导重力仪类似,新型超导重力仪同样使用磁悬浮超导检验质量来构建弹簧振子结构,不同的是弹簧振子的固有频率更高,可以有效覆盖地脉动频带.同时,利用基于超导量子干涉器件（SQUID）的位移传感技术,大幅提高了位移传感灵敏度,以保证仪器在测量带宽扩展之后仍具有与GWR仪器相当的测量分辨率,从而实现对时变重力信号与地球背景噪声信号的同时高分辨观测.宽频带超导重力仪核心部件垂向超导加速度计（VSA）的设计、组装和初步测试已经完成.结果表明,加速度计的噪声本底为8 μGal/Hz^1/2@0.1 Hz,实现了对地脉动信号的高分辨率测量.而为了将仪器噪声本底降低到GWR仪器水平,加速度计的固有频率需要进一步减小,该部分参数优化工作正在进行.本文将对垂向超导加速度计的工作原理、结构和测试结果进行详细介绍.     

地震油气储层的小样本卷积神经网络学习与预测

地震储层预测是油气勘探的重要组成部分,但完成该项工作往往需要经历多个环节,而多工序或长周期的研究分析降低了勘探效率.基于油气藏分布规律及其在地震响应上所具有的特点,本文引入卷积神经网络深度学习方法,用于智能提取、分类并识别地震油气特征.卷积神经网络所具有的强适用性、强泛化能力,使之可以在小样本条件下,对未解释地震数据体进行全局优化提取特征并加以分类,即利用有限的已知含油气井段信息构建卷积核,以地震数据为驱动,借助卷积神经网络提取、识别蕴藏其中的地震油气特征.将本方案应用于模型数据及实际数据的验算,取得了预期效果.通过与实际钻井信息及基于多波地震数据机器学习所预测结果对比,本方案利用实际数据所演算结果与实际情况有较高的吻合度.表明本方案具有一定的可行性,为缩短相关环节的周期提供了一种新的途径.     

几种典型近地表有限导体瞬变电磁特征响应研究

近地表有限导体的瞬变电磁响应中包含其形状、结构特征,如何建立这些特征与其响应之间的关系是近地表有限导体探测与识别的核心问题.本文建立了几种典型有限导体响应的三维感应偶极子模型,通过有限导体早期幂函数衰减的幅度与速率、晚期指数衰减的幅度与时间常数共四个模型参数表征有限导体的形状和结构特征,利用最小二乘拟合算法提取这些模型参数,揭示有限导体的形状、结构特征与模型参数之间的内在联系.理论与实验研究结果表明:具有绕球心旋转对称性的球形目标体,其三维感应偶极子响应完全相同,早期响应呈幂函数衰减,晚期呈e指数衰减,信号幅度和时间常数均能很好反映球体半径与材料特性;具有绕轴旋转对称性目标体,其三维感应偶极子响应部分相同,早期幂函数衰减的幅度与速率主要体现目标体的长度特征,晚期e指数衰减的时间常数体现了目标体的外径与壁厚特征;非轴对称性目标体,其三维感应偶极子响应均不相同,各个感应偶极子参数差异较大.本文的研究对提高瞬变电磁系统区分轴对称目标体与金属碎片能力,降低系统探测虚警率具有重要意义.     

Frequency‐domain waveform modelling and inversion for coupled media using a symmetric impedance matrix

To simulate the seismic signals that are obtained in a marine environment, a coupled system of both acoustic and elastic wave equations is solved. The acoustic wave equation for the fluid region simulates the pressure field while minimizing the number of degrees of freedom of the impedance matrix, and the elastic wave equation for the solid region simulates several elastic events, such as shear waves and surface waves. Moreover, by combining this coupled approach with the waveform inversion technique, the elastic properties of the earth can be inverted using the pressure data obtained from the acoustic region. However, in contrast to the pure acoustic and elastic cases, the complex impedance matrix for the coupled media does not have a symmetric form because of the boundary (continuity) condition at the interface between the acoustic and elastic elements. In this study, we propose a manipulation scheme that makes the complex impedance matrix for acoustic–elastic coupled media to take a symmetric form. Using the proposed symmetric matrix, forward and backward wavefields are identical to those generated by the conventional approach; thus, we do not lose any accuracy in the waveform inversion results. However, to solve the modified symmetric matrix, LDLT factorization is used instead of LU factorization for a matrix of the same size; this method can mitigate issues related to severe memory insufficiency and long computation times, particularly for large‐scale problems.     

Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation

Satellite records show that the extent and thickness of sea ice in the Arctic Ocean have significantly decreased since the early 1970s. The prediction of sea ice is highly important, but accurate simulation of sea ice variations remains highly challenging. For improving model performance, sensitivity experiments were conducted using the coupled ocean and sea ice model (NEMO-LIM), and the simulation results were compared against satellite observations. Moreover, the contribution ratios of dynamic and thermodynamic processes to sea ice variations were analyzed. The results show that the performance of the model in reconstructing the spatial distribution of Arctic sea ice is highly sensitive to ice strength decay constant (C^rhg). By reducing the C^rhg constant, the sea ice compressive strength increases, leading to improved simulated sea ice states. The contribution of thermodynamic processes to sea ice melting was reduced due to less deformation and fracture of sea ice with increased compressive strength. Meanwhile, dynamic processes constrained more sea ice to the central Arctic Ocean and contributed to the increases in ice concentration, reducing the simulation bias in the central Arctic Ocean in summer. The root mean square error (RMSE) between modeled and the CryoSat-2/SMOS satellite observed ice thickness was reduced in the compressive strength-enhanced model solution. The ice thickness, especially of multiyear thick ice, was also reduced and matched with the satellite observation better in the freezing season. These provide an essential foundation on exploring the response of the marine ecosystem and biogeochemical cycling to sea ice changes.