井下圆球运动分析与新型试压体设计

在油、气、水井井下作业中,圆球广泛地应用于管柱试压、坐封和分段(层)压裂等施工作业。为准确计算现场施工时圆球到达设计点时间（即候球时间）,通过对圆球运动过程和受力分析得出新的候球时间计算公式,并指出圆球绕流阻力系数、圆球直径、圆球密度和压井液性能等是影响候球时间的关键因素,为优化施工设计提供了依据;同时提出了一种能减少候球和反洗球时间的新型管柱试压体设计构思,为进一步优化施工作业奠定了基础。     

Dehydration melting of solid amphibolite at 2.0 GPa: Effects of time and temperature

The dehydration melting of the natural rock at high pressure is important to investigating the magma formation in the earth’s interior. Since the 1970s, a lot of geological scientists have paid more atten- tion to the dehydration melting of the natural rock[1―5]. Previous experiments of dehydration melting and observations of fieldwork argued that the dehy- dration melting of the rock was probably the most important fashion for the melting of the lower crust rock[6―12]. The genesis of most …     

模式内部变率引起的1.5℃和2℃升温阈值出现时间模拟的不确定性研究

模式内部变率是模拟结果不确定性的重要来源,然而它对于1.5℃和2℃升温阈值出现时间不确定性的影响尚不清楚。因此,基于耦合模式比较计划第五阶段(CMIP5)的多模式数据研究了模式内部变率对1.5℃和2℃升温阈值出现时间不确定性的影响以及对未来排放情景的敏感性。结果表明,模式内部变率对升温阈值出现时间模拟的影响与外强迫的影响相当,单个模式内部不同成员达到全球平均1.5℃或2℃增温的年份相差2~12年;其影响具有明显的空间差异,影响极大值出现在欧亚大陆以北洋面、白令海峡周围区域、北美东北部及其与格陵兰岛之间的海域、南半球高纬地区等;低排放情景下模式内部变率的影响大于高排放情景。     

天水地震台最大振幅面波与初至波到时差和震中距的关系

根据天水地震台ＳＫ地震仪近年来记录的３３８个震例的资料,用最小二乘法求出最大振幅面波与初至波至时差同震中距的关系式,并与Ｊ－Ｂ表进行了对比,结果表明,用Ｊ－Ｂ表计算出的震中距与实际震中距的偏差较大,用本给出的关系式和走时表估算震中距可以缩小误差,提高定位精度。     

Directed movements in probabilistic time geography

This article studies probabilistic time geography for space–time prisms, that is, for situations where observers know the location of an agent at one time and then again at another time. In the intervening period, the agent would have moved freely, according to its time budget. The article demonstrates that the probability of finding the agent somewhere in the space–time prism is not equally distributed, so any attempt of a quantitative time geographic analysis must consider the actual probability distribution. This article develops, implements, and demonstrates this distribution. A preceding article introduced probabilistic time geography for space–time cones. With cones and prisms, the elementary space–time volumes of time geography are provided.     

<Emphasis Type="Italic">M</Emphasis><Subscript>W</Subscript>9 Tohoku earthquake in 2011 in Japan: precursors uncovered by natural time analysis

This paper reviews the precursory phenomena of the 2011 M _W9 Tohoku earthquake in Japan that emerge solely when we analyze the seismicity data in a new time domain termed natural time. If we do not consider this analysis, important precursory changes cannot be identified and hence are missed. Natural time analysis has the privilege that enables the introduction of an order parameter of seismicity. In this frame, we find that the fluctuations of this parameter exhibit an unprecedented characteristic change, i.e., an evident minimum, approximately two months before Tohoku earthquake, which strikingly is almost simultaneous with unique anomalous geomagnetic field variations recorded mainly on the z component. This is consistent with our finding that such a characteristic change in seismicity appears when a seismic electric signal (SES) activity of the VAN method (from the initials of Varotsos, Alexopoulos, Nomicos) initiates, and provides a direct confirmation of the physical interconnection between SES and seismicity.     

高原边坡复杂地形下短时强降水的云型特征分类

利用逐时雨量资料、常规高低空观测资料及FY-2卫星云图,对2010—2015年5—9月甘肃省高原边坡复杂地形下76次短时强降水过程个例的天气形势配置及卫星云图演变特征进行统计分析。结果表明,与甘肃省短时强降水过程相关的特征云型共有6类:副热带高压边沿型、逗点云型、冷锋前部型、冷锋尾部与南亚高压东侧叠置型、冷涡后部型、弱冷锋前部椭圆形MαCS型。其中,副热带高压边沿型、冷锋前部型、弱冷锋前部椭圆形MαCS型与低层暖平流强迫有关。逗点云型、冷锋尾部与南亚高压东侧叠置型主要受高低空冷暖平流强烈交汇影响。冷涡后部型是高空冷平流强迫下形成。冷锋尾部与南亚高压东侧叠置型具有较好的预报指示意义。     

地心非旋转坐标系中的TWSTT计算模型

根据卫星双向时间传递(TWSTT)的基本原理，详细推导了地心非旋转坐标系中TWSTT的计算模型．并与地固系中的计算模型进行了分析比较，证明了两种计算模型在0．1ns亚纳秒量级上的等价性。     

Watershed structural influences on the distributions of stream network water and solute travel times under baseflow conditions

Watershed structure influences the timing, magnitude, and spatial location of water and solute entry to stream networks. In turn, stream reach transport velocities and stream network geometry (travel distances) further influence the timing of export from watersheds. Here, we examine how watershed and stream network organization can affect travel times of water from delivery to the stream network to arrival at the watershed outlet. We analysed watershed structure and network geometry and quantified the relationship between stream discharge and solute velocity across six study watersheds (11.4 to 62.8 km²) located in the Sawtooth Mountains of central Idaho, USA. Based on these analyses, we developed stream network travel time functions for each watershed. We found that watershed structure, stream network geometry, and the variable magnitude of inputs across the network can have a pronounced affect on water travel distances and velocities within a stream network. Accordingly, a sample taken at the watershed outlet is composed of water and solutes sourced from across the watershed that experienced a range of travel times in the stream network. We suggest that understanding and quantifying stream network travel time distributions are valuable for deconvolving signals observed at watershed outlets into their spatial and temporal sources, and separating terrestrial and in‐channel hydrological, biogeochemical, and ecological influences on in‐stream observations. Copyright © 2016 John Wiley & Sons, Ltd.     

Errors due to the anisotropic-common-ray approximation of the coupling ray theory

The common-ray approximation eliminates problems with ray tracing through S-wave singularities and also considerably simplifies the numerical algorithm of the coupling ray theory for S waves, but may introduce errors in travel times due to the perturbation from the common reference ray. These travel-time errors can deteriorate the coupling-ray-theory solution at high frequencies. It is thus of principal importance for numerical applications to estimate the errors due to the common-ray approximation applied. The anisotropic-common-ray approximation of the coupling ray theory is more accurate than the isotropic-common-ray approximation. We derive the equations for estimating the travel-time errors due to the anisotropic-common-ray (and also isotropic-common-ray) approximation of the coupling ray theory. The errors of the common-ray approximations are calculated along the anisotropic common rays in smooth velocity models without interfaces. The derivation is based on the general equations for the second-order perturbations of travel time.