【摘 要】
：
We developed an automatic seismic wave and phase detection software based on PhaseNet,an efficient and highly generalized deep learning neural network for P-and S-wave phase picking.The software organically combines multiple modules including application
【机 构】
：
Institute of Geophysics,China Earthquake Administration,Beijing,100081,China;Beijing Baijiatuan Eart
论文部分内容阅读
We developed an automatic seismic wave and phase detection software based on PhaseNet,an efficient and highly generalized deep learning neural network for P-and S-wave phase picking.The software organically combines multiple modules including application terminal interface,docker container,data visualization,SSH protocol data transmission and other auxiliary modules.Characterized by a series of technologically powerful functions,the software is highly convenient for all users.To obtain the P-and S-wave picks,one only needs to prepare three-component seismic data as input and customize some parameters in the interface.In particular,the software can automatically identify complex waveforms (i.e.continuous or truncated waves) and support multiple types of input data such as SAC,MSEED,NumPy array,etc.A test on the dataset of the Wenchuan aftershocks shows the generalization ability and detection accuracy of the software.The software is expected to increase the efficiency and subjectivity in the manual processing of large amounts of seismic data,thereby providing convenience to regional network monitoring staffs and researchers in the study of Earth\'s interior.
其他文献
寒武纪大爆发是地球上己知的最为宏伟的两侧动物生命爆发事件,在距今5.3亿年前地球海洋中突然爆发性出现了包括脊椎动物在内的几乎所有的现生动物的早期祖先代表.其中地质历史中有一个低调的动物门类——苔藓动物门,它们个体微小,群体生活、模块化生长,生态复杂,从早期化石记录来看一直被认为是奥陶纪大辐射的产物.而近期,西北大学早期生命研究团队张志飞教授指导的博士研究生张志亮在寒武纪早期地层中发现了目前地球已知最早的苔藓虫化石,相关研究成果已于10月27日在Nature杂志以长文(Article)形式在线发表.
峨眉山大火成岩省内带攀西地区分布大量晚二叠世中酸性岩浆岩,其成因机制对深化理解地幔柱岩浆作用过程、壳幔物质结构及特殊的金属元素成矿作用具有重要意义.这些中酸性岩浆岩包括中性碱性岩和花岗岩,形成时代集中于251 ～ 259 Ma左右,稍晚于峨眉山溢流玄武岩的形成时代(～260 Ma).目前,对于这套中酸性岩浆岩的成因还存在争议,主要有玄武质岩浆的结晶分异和地壳物质的高温部分熔融两种观点.文中对峨眉山大火成岩省内带这套中酸性岩浆岩的岩石组成、空间展布、形成时代及成因机制等方面的研究进展进行了详细评述,提出对这
为了筛选适宜发酵紫甘薯酒的原料及适宜的发酵菌种和主发酵条件,选用11个紫甘薯品种,针对酿酒品质好的品种设计发酵菌种和主发酵温度2个处理因素,分析紫甘薯品种、发酵菌种和主发酵温度对紫甘薯酒品质指标和风味物质的影响.结果 表明,紫甘薯品种、发酵菌种和发酵温度对紫甘薯酒品质和风味物质均有不同程度的影响.11个品种紫甘薯酒样中,徐紫薯8号发酵酒酒精度在12％以上,且花青素含量最高,异丁醇、乙酸异戊酯、异戊醇、乙酸苯乙酯、苯乙醇、2,4-二叔丁基苯酚为主要风味物质.菌种CICC1012发酵所得紫甘薯酒酒精度最高,且
光合微藻,因具有固碳减排、生长速度快、光捕获效率高、抗逆性强等优势,成为极具潜力的生物能源原材料之一.微藻生物能源制造技术走向产业化推广及应用,其基础和关键是在控制成本的前提下实现规模化高产生物质.光合自养与化能异养的混合营养代谢特性能够提高微藻在复杂基质上生存和生长的能力,在提高微藻生物质产量的同时降低生产成本,因此,混养培养在微藻大规模产业化研究过程中显示出巨大发展潜力.从光合微藻生物能源生产中混养培养技术的应用及影响、藻菌共培养体系中混养培养技术的应用及影响、混养培养技术在环境修复中的应用及影响3个
通过对浓度、“溶度积法则”和pH值等的计算,针对“植物的元素缺乏症”实验中学生的一些疑惑进行探讨,对营养液数据进行分析和推理,并对营养液中结晶化合物用量、铁元素、化学平衡及沉淀等问题进行研究,提出解决方案和改进建议.
We lay out the ramifications of the 2020 pandemic for all people in geosciences,especially the young,and argue for significant changes on training and career development.We focus primarily on its devastating impact in USA and compare with that in other co
课程思政已成为新时代我国高等学校本科教学改革的主要方向.挖掘、梳理测绘类专业核心课程“遥感原理与应用”中所蕴含的丰富的思政元素,结合教学经验,以“遥感的定义”“中国遥感事业发展史”和“定量遥感概论”3个章节为例,探讨课程思政案例教学的实现途径.
有效平均车长可用于交通数据的有效性校验,精确的有效平均车长可提高交通数据识别的准确性.本文探讨有效平均车长计算误差的影响因素.基于VISSIM软件建立济南市某路口的交通仿真模型,模拟该路口的路况及车流量.实测早高峰、晚高峰以及非高峰时段的交通流量,并利用实测数据验证模型.分别改变检测器采集间隔、车流量及车型比例,得到单因素改变时的有效平均车长,结合实际车长数据,得到3者对有效平均车长计算结果的影响规律.
In the presence of background noise,arrival times picked from a surface microseismic data set usually include a number of false picks that can lead to uncertainty in location estimation.To eliminate false picks and improve the accuracy of location estimat
Discrete element method can effectively simulate the discontinuity,inhomogeneity and large deformation and failure of rock and soil.Based on the innovative matrix computing of the discrete element method,the high-performance discrete element software MatD