PBO纤维及其复合材料工艺性能研究

介绍了PBO纤维的结构特点及部分物理性能，研究了影响PBO纤维NOL环干法缠绕成型的几种主要工参数，对干法及湿法两种成型方法的Ф150mm压力容器性能进行了试验研究，对其破坏界面进行了电镜分析。结果表明：干法缠绕成型的Ф150mln压力容器的PV／W值最高可达47．55km，湿法缠绕成型的可以达到60．42km。     

Global ionospheric scintillations revealed by GPS radio occultation data with FY3C satellite before midnight during the March 2015 storm

Global observations of S4 amplitude scintillation index by the GPS Occultation Sounder (GNOS) on FengYun-3 C (FY3C) satellite reveal global dynamic patterns of a strong pre-midnight scintillations in F-region of the ionosphere during the St. Patrick’s Day geomagnetic super storm of 17–19 March 2015. The observed strong scintillations mainly occurred in the low latitudes, caused by equatorial plasma bubbles. During the main storm phase (March 17), the scintillations were first triggered in the New Zealand sector near 160°E longitudes, extending beyond 40°S dip latitude. They were also enhanced in the Indian sector, but significantly suppressed in East Asia near 120°E longitude and in Africa around 30°E longitude. During the initial recovery phase (March 18–19), the global scintillations were seldom observed in GNOS data. During the later recovery phase (after March 19), the scintillations recovered to the pre-storm level in Indian, African, and American sectors, but not in East Asian and any of Pacific sectors. These results closely correlate with observations of the density depletion structures by the Communication/Navigation Outage Forecasting System (C/NOFS) satellite, and ground-based instruments. Such consistency indicates reliability of our scintillation sensing approach even in a case-by-case comparison study. The prompt penetration electric field and disturbance dynamo electric field are suggested as the main factors that control the enhancement and inhibition of the scintillations during the storm, respectively.     

砝码磁性测量过程中几何形状修正因子的计算与影响

通过一系列实验和数据,讨论用磁化率计法测量砝码磁性时各测量分量对砝码磁化率测量结果的影响,并着重分析了砝码几何形状修正因子的测量与确定,比较不同测量方式的特点,以求减少砝码磁性测量时的误差。     

磁暴对海南地区电离层扩展F的影响

利用2002年2月至2007年12月海南地区DPS-4测高仪观测数据, 用统计分析方法研究了磁暴对电离层扩展F的影响. 结果认为磁暴从整体上抑制了扩展F现象的发生. 但若把扩展F分为不同类型, 则结果却有所不同. 对于频率型(FSF), 在2002年和2003年磁暴对其有促发作用, 在2004---2007年有抑制作用; 对于区域型(RSF), 在2002---2005年磁暴对其有抑制作用, 在2006年和2007年, 对其有弱促发作用; 对于混合型(MSF), 在2002年磁暴对其有抑制作用, 在2003年和2004年有促发作用, 从2005年开始, 磁暴对其有抑制作用; 对于强区域型 (SSF), 在2002---2004年磁暴对其有抑制作用, 在2005年和2006年有促发作用, 2007年有弱抑制作用.      

火星磁层顶形成和变化的理论研究

考虑太阳风动压与行星电离层中的带电粒子热压及磁压之和平衡,建立了有大气（电离层）的行星磁层顶形成的理论模型,结合卫星对火星的观测数据,对子午面内向日侧火星磁层顶位形进行了数值计算和分析,研究了火星磁层顶位形及其与太阳风动压之间的变化关系．结果认为,火星磁层顶位形与地球磁层顶相似．太阳风动压越大,火星磁层顶越靠近火星;太阳风动压越弱,火星磁层顶越远离火星．根据火星内秉磁矩从古到今逐渐减小的观点,探索了大尺度磁场（内禀磁矩）对火星磁层顶的贡献作用,结果认为大尺度磁场越强,火星磁层顶越远离行星．这对于进一步研究火星磁层的长期演化以及其他行星磁层的位形变化都具有重要的意义．     

海南地区电离层闪烁监测及初步统计分析

为开展赤道区的电离层闪烁形态特性及相关物理过程的研究,空间中心海南台站建立了一套GPS电离层闪烁监测系统．该系统是利用Plessey GPS Builder-2系统开发的,对软件的源码进行了修改,使其能以高采样率(50／s)同时并行记录11个通道GPS信号强度数据．对2003年7—12月间L-波段电离层闪烁事件的初步统计分析结果表明,电离层闪烁主要发生在日落后到午夜附近,其中9—11月较7—8月闪烁发生和结束的时间明显提前;电离层闪烁发生的频率和强度在9—11月较其他月份明显增强,其中10月达到最大;电离层闪烁的逐日变化具有很强的随机性,闪烁的发生在秋分附近9月底到10月中旬的磁静日期间达到最大;太阳和地磁活动的增强通常会抑制电离层闪烁的发生,这种情形在秋分附近尤为明显．     

芳纶纤维湿法缠绕容器研究进展

研究了高性能Ｆ－１２芳纶纤维的湿法成型工艺,研制了与Ｆ－１２纤维匹配性良好的湿法环配方,同时进行了φ１５０ｍｍ、φ４８０ｍｍ容器的湿法成型工艺参数的优化试验。初步探讨了湿法成型中的含胶量控制技术。结果表明,ＨＲ１８湿法配方与Ｆ－１２纤维的匹配性和工艺性良好,而且湿法成型工艺参数经优化后可明显提高容器的特性系数ＰＶ／Ｗｃ值。     

中心等离子体片的地向对流型高速流

在GSM坐标系下, 利用TC-1卫星和Cluster/C1卫星上4s分辨率的磁场和热离子探测数据, 对中心等离子体片内的地向对流型高速流进行了统计研究(-19 Re < x< -9 Re, |y| < 10 Re, |z|< 5 Re). 统计结果表明, 地向对流型高速流会在15 Re以内出现``刹车', 在11.5 Re附近时出现``缺失'. 进一步对其速度特征进行统计分析. 结果显示, 在中心等离子体片内的高速流, 其运动方向主要为地向, 晨昏和南北方向的运动明显较弱; 在对流型高速流的地向输运过程中, 其峰值速度没有明显的下降; 在近地13 Re以内, 等离子体片内的地向对流型高速流具有较强的垂直磁力线运动速度. 这意味着对流型高速流在近地15 Re以内的“刹车”不是由高速流晨昏或南北方向的偏转造成的. 高速流在11.5 Re附近时出现的``缺失'可能与在15 Re以内出现``刹车'密切相关. TC-1卫星和Cluster卫星的观测为了解中磁尾重联高速流地向输运过程及亚暴膨胀相触发提供了重要的观测依据.      

海南地区电离层Es特性研究

利用中国科学院空间科学与应用研究中心海南电离层观测站DPS-4电离层测高仪2002年3月至2005年2月的观测数据,对太阳活动下降期间海南地区上空发生的偶发E层(Es)的逐年变化和季节变化进行了统计分析.主要结果表明,在这3年中海南地区Es事件出现次数逐年增加;Esr,Esq出现最频繁,其次是Esr,而Esc和Esf出现次数较少,出现次数最少的是Esh;Es事件在夏季出现最为频繁,秋季和冬季次之,春季最为稀少;各季节不同类型Es事件的出现率也不同,其中Esl和Esq一般在各季节占主导地位,Esr其次,Esc,Esf和Esh出现次数较少,尤其是Esf在秋季几乎没有出现.这些结果对于进一步研究Es产生的物理机制提供了探测基础,同时对于电离层空间天气预报模型的建立也具有重要的意义.      

Optimal assimilation for ionospheric weather – Theoretical aspect

Observation, specification and prediction of ionospheric weather are the key scientific pursuits of space physicists, which largely based on an optimal assimilation system. The optimal assimilation system, or commonly called data assimilation system, consists of dynamic process, observation system and optimal estimation procedure. We attempt to give a complete framework in this paper under which the data assimilation procedure carries through. We discuss some crucial issues of data assimilation as follows: modeling a dynamic system for ionospheric weather; state estimation for static or steady system in sense of optimization and likelihood; state and its uncertainty estimation for dynamic process. Meanwhile we also discuss briefly the observability of an observation system; system parameter identification. Some data assimilation procedures existed at present are reviewed in the framework of this paper. As an example, a second order dynamic system is discussed in more detail to illustrate the specific optimal assimilation procedure, ranging from modeling the system, state and its uncertainty calculation, to the quantitatively integration of dynamic law, measurement to significantly reduce the estimation error. The analysis shows that the optimal assimilation model, with mathematical core of optimal estimation, differs from the theoretical, empirical and semi-empirical models in assimilating measured data, being constrained by physical law and being optimized respectively. The data assimilation technique, due to its optimization and integration feature, could obtain better accurate results than those obtained by dynamic process, measurement or their statistical analysis alone. The model based on optimal assimilation meets well with the criterion of the model or algorithm assessment by ‘space weather metrics’. More attention for optimal assimilation procedure creation should be paid to transition matrix finding, which is usually not easy for practical space weather system. High performance computing hardware and software studies should be promoted further so as to meet the requirement of large storage and extensive computation in the optimal estimation. The discussion in this paper is appropriate for the static or steady state or transition process of dynamic system. Many phenomena in space environment are unstable and chaos. So space environment study should include and integrate these two branches of learning. This revised version was published online in August 2006 with corrections to the Cover Date.