大同地震窗P波频散衰减的异常变化特征

通过测量介质品质因子来开展大同窗附近测震台站记录P波衰减频散特征的研究,并分析大同窗近场区和外围区震例前后的变化。对山自皂台记录的2001年以来大同窗地震序列的研究结果表明,近场区3次和外围区6次地震前,介质品质因子显示超出1倍均方差的高值变化特征,震后逐渐恢复到背景起伏状态;与大同窗传统的频次指标相比,介质品质因子的映震效果更好;阳原台的结果表明,仅近场区1次和外围区2次地震前,介质品质因子显示超出1倍均方差的高值变化特征,且有虚报、漏报。所处地质构造位置不同、传播路径介质差异可能是引起上述两个台站附近介质品质因子的地震对应效果明显不同的原因。     

基于滑动窗口导纳技术反演西太平洋中部岩石圈的有效弹性厚度

西太平洋中部地区是西太平洋板块边缘沟-弧-盆体系构造演化的关键区域,其地质特征与构造演化一直是地学家关注的焦点问题之一。开展岩石圈有效弹性厚度的研究对于认识该区域的形成演化具有重要的科学意义。本文采用滑动窗口导纳技术,并在挠曲模型中考虑了表面荷载和内部荷载同时存在的情况,计算得到该区域的岩石圈有效弹性厚度(Te)。计算结果显示,研究区的Te值整体上为0~50 km,其变化基本上与构造单元相吻合,且与主要的构造边界密切相关。除海底火山具有相对较小的Te值(15~20 km)外,太平洋板块整体上具有较强的岩石圈强度(25~30 km)。马里亚纳海沟和菲律宾海沟的岩石圈强度从外隆起到海沟方向表现为明显的减弱,表明岩石圈由外隆起向海沟发生了弱化。帕里西维拉海盆西部相较于东部具有较弱的岩石圈强度,这可能与海盆的非对称扩张有关。卡罗琳板块的岩石圈整体上表现为相对均一的低Te值特征(<15 km)。欧里皮克海隆、卡罗琳海岭和索罗尔海槽的Te值为3 km,这可能是强烈的火山作用所导致的结果。     

强震动记录H/V谱比法计算处理的若干关键环节

强震动记录H/V谱比法自提出以来,已广泛应用于地震工程各研究领域中。但对数据处理的2个关键环节——Taper预处理及傅氏谱平滑未有详细研究。因此,本文针对强震动记录H/V谱比法计算涉及的重要数据处理过程,对四川地区19个强震动台站在汶川地震余震中获取的642组强震动记录开展研究。研究实例表明:S波H/V谱比振幅在周期 < 1s时高于全时程,论证计算H/V谱比时截取S波窗口的必要性;S波窗口的截断会引起傅里叶振幅谱的边瓣效应,若不加以处理,将显著影响低频部分H/V谱比结果,Taper预处理对于消除这种截断误差具有良好效果;在兼顾平滑效果及卓越周期识别准确度的基础上,通过不同带宽的Parzen窗试算,认为0.5Hz带宽宜用于傅里叶H/V谱比曲线平滑。     

1951—2017年热带气旋移动速度特征统计分析

热带气旋移动速度是目前热带气旋研究热点之一。本文利用1951—2017年中国国家气象局最佳路径集资料,系统分析了西北太平洋海域热带气旋不同强度等级移动速度的年代际特征,初步探讨其原因,并对不同强度等级移动速度的分布特征进行系统诊断。结果表明,1951—2017年间平均移动速度(所有强度等级平均及对于大部分强度等级)呈现出减慢趋势,且主要体现在强热带气旋等级移动速度减慢;热带气旋向高纬度迁移趋势理论上将使移动速度增大而移动速度仍然减慢,说明气候因素是引起移动速度减慢的一个重要因素;不同强度等级平均移动速度、增强阶段基本相当,减弱阶段随强度减弱在初、中期明显增加,之后又逐渐减小,变性气旋移动速度显著增加;不同强度等级速度概率分布,增强阶段基本相同且相对集中,减弱阶段差异较大且相对分散,变性气旋最为分散。     

济阳坳陷新生代主要生油岩系底界面温度分布

依据济阳坳陷千余口测温井的地温梯度数据和地层岩性描述、分层数据以及钻井资料,计算了该区各生油岩系底界面的温度。统计结果表明:济阳坳陷大部分地带沙河街组地层底界面温度介于90～150℃之间,目前仍具有大量生油的温度条件,而在一些凸起地区和斜坡地带,该地层组段温度普遍小于90℃,未能达到生油的温度指标;孔店组地层也具有一定的生油温度条件。研究表明,地层温度与地层界面埋深密切相关,温度随界面埋深的增大而升高,沉积厚度大的凹陷带界面温度大于沉积厚度小的凸起区或斜坡地带,说明地层界面埋深是决定地温高低的主要控制因素,而地温梯度对地层界面温度的影响相对较小。     

唐山老震区地震活动特征

整理校正唐山长时间地震序列数据,用基于时空ETAS模型的随机除丛法,分析1976年唐山长时间地震序列的活动特点,发现唐山老震区1992年后进入余震活动的晚期阶段,目前地震活动未完全恢复到背景地震的水平。用频度和应变能两种不同的异常指标分析唐山老震区作为“余震窗口”对中强震的指示意义,发现唐山余震窗口的早期阶段（1980-1986年）,频次作异常指标映震效果较好,晚期阶段（1992-2010年）,应变能作为异常指标映震效果更好。     

Correlation between plate age and layer separation of double seismic zones

Global seismicity catalogs are sufficient for characterizing double seismic zones (DSZs) in subducting slab and facilitate to estimate layer separation without inconsistent uncertainties as local catalogs. Previous studies have shown the correlation between DSZs layer separation and plate age while correlation for those younger than ~60 Ma is suspicious. The lacking of DSZs with layer separation less than 10 km further makes it difficult to precisely estimate such correlation. Thus, we incorporate eight DSZs data determined through local seismicity into globally-determined dataset and reexamine such correlation. The best fitting results show that both a linear model and a square root of plate age can mathematically fit the layer separation well. However, it is difficult to distinguish these two models when plate age is greater than ~20 Ma since their difference is less than 2 km. However, if extrapolation is possible, both models should provide physical information that DSZs will not form if there is no subducting lithosphere. As a result, the DSZs cannot be produced until the oceanic lithospheric age becomes greater than 0.9 Ma in the square root model while the linear model gives a misleading result. As such the square root model demonstrates the relationship physically better than the linear one, it still needs further test in the future with more available data, nevertheless, our study might also provide evidence for the suggestion that the plate age is a primary control factor of the DSZs geometry as well as the subducting process which disregards any local tectonic stresses.     

基于窗口速度平滑伪距的遥感平台定位算法

对浮空器遥感平台进行精密的控制定位是其完成对地观测、中继通信以及环境遥感等任务的关键。在自主地面测控系统对浮空器平台跟踪定位的基础上,给出加窗径向速度平滑伪距的多站跟踪定位方法。仿真结果表明:在GDOP值超过6的情况下,利用加窗速度平滑伪距方法仍能改善遥感平台定位的精度,而且能够有效地削弱测距链路中粗差的影响,从而自主地根据近地空间环境对浮空器进行控制。     

Heat calculation and numerical simulation in steam mining of permafrost gas hydrate

Steam mining method was injecting hot steam into the borehole to heat the hydrate strata at the same time of depressurization mining,which could promote further decomposition and expand mining areas of gas hydrate. Steam heat calculation would provide the basis for the design of heating device and the choice of the field test parameters. There were piping heat loss in the process of mining. The heat transfer of steam flowing in the pipe was steady,so the heat loss could be obtained easily by formula calculation. The power of stratum heating should be determined by numerical simulation for the process of heating was dynamic and the equations were usually nonlinear. The selected mining conditions were 500-millimeter mining radius,10 centigrade mining temperature and 180 centigrade steam temperature. Heat loss and best heating power,obtained by formula calculation and numerical simulation,were 21. 35 W/m and 20 kW.     

Clustering of temporal event processes

A temporal point process is a sequence of points, each representing the occurrence time of an event. Each temporal point process is related to the behavior of an entity. As a result, clustering of temporal point processes can help differentiate between entities, thereby revealing patterns of behaviors. This study proposes a hierarchical cluster method for clustering temporal point processes based on the discrete Fréchet (DF) distance. The DF cluster method is divided into four steps: (1) constructing a DF similarity matrix between temporal point processes; (2) constructing a complete linkage hierarchical tree based on the DF similarity matrix; (3) clustering the point processes with a threshold determined by locating the local maxima on the curve of the pseudo-F statistic (an index which measures the separability between clusters and the compactness in clusters); and (4) identifying inner patterns for each cluster formed by a series of dense intervals, each of which contains at least one event of all processes of the cluster. The contributions of the article are: (1) the proposed DF cluster method can cluster temporal point processes into different groups and (2) more importantly, it can identify the inner pattern of each cluster. Two synthetic data sets were created to illustrate the DF distance between temporal point process clusters (the first data set) and validate the proposed DF cluster method (the second data set), respectively. An experiment and a comparison with a method based on dynamic time warping show that DF cluster successfully identifies the preconfigured patterns in the second synthetic data set. The cluster method was then applied to a population migration history data set for the Northern Plains of the United States, revealing some interesting population migration patterns.