Demeter观测的电离层非震变化特征研究

利用法国电磁卫星Demeter装载的ICE(电场探针)及IAP(等离子体分析仪)探测数据,分析研究2006年不同季节、不同地方时顶部电离层电场及各等离子参量的全球空间分布特征,结果发现,电场x分量及H+离子浓度、O+离子浓度、He+离子浓度、等离子体温度具有显著的季节变化和地方时变化,而电场y分量及z分量全球分布的季节...     

Spectral Simulation and Conditioning to Local Continuity Trends in Geologic Modeling

Spectral simulation has gained application in building geologic models due to the advantage of better honoring the spatial continuity of petrophysical properties, such as reservoir porosity and shale volume. Distinct from sequential simulation methods, spectral simulation is a global algorithm in the sense that a global density spectrum is calculated once and the inverse Fourier transform is performed on the Fourier coefficient also only once to generate a simulation realization. The generated realizations honor the spatial continuity structure globally over the whole field instead of only within a search neighborhood, as with sequential simulation algorithms. However, the disadvantage of global spectral simulation is that it traditionally cannot account for the local information such as the local continuity trends, which are often observed in reservoirs and hence are important to be accounted for in geologic models. This disadvantage has limited wider application of spectral simulation in building geologic models. In this paper, we present ways of conditioning geologic models to the relevant local information. To account for the local continuity trends, we first scale different frequency components of the original model with local-amplitude spectrum ratios that are specific to the local trend. The sum of these scaled frequency components renders a new model that displays the desired local continuity trend. The implementation details of this new method are discussed and examples are provided to illustrate the algorithm.     

“三江”中段两类碳酸盐岩容矿铅锌矿化成因的相关性——来自稀土元素地球化学研究的启示

世界范围内的碳酸盐岩容矿铅锌矿带内常在区域上出现以方解石等碳酸盐矿物为主要脉石矿物的富碳酸盐型铅锌矿化和以碳酸盐+萤石为主要脉石矿物的富氟型铅锌矿化这两种矿化形式,但不同元素组合的出现在成因上是否有相关性并不明确。青藏高原"三江"成矿带中段玉树地区同一矿集区内近同时发育了东莫扎抓富碳酸盐型和莫海拉亨富氟型铅锌矿床,二者均为碳酸盐岩赋矿,以逆断层为主要控矿构造,具有层控的矿体产状特征,矿石矿物均为方铅矿+闪锌矿,但是,东莫扎抓矿床以方解石+白云石等碳酸盐矿物为主要脉石矿物,莫海拉亨则以方解石+萤石为主要脉石矿物。研究表明,两个矿区含钙矿物的稀土元素地球化学特征存有差异。东莫扎抓矿区方解石的稀土元素具有轻重稀土元素分馏相对明显、轻稀土元素富集、Eu负异常明显的特征,在球粒陨石标准化配分模式图上呈现右倾或轻微右倾的"V"字形曲线。莫海拉亨矿区方解石及萤石轻重稀土元素分馏不明显,有明显的Eu负异常,球粒陨石标准化配分模式图上呈现轻微的"M"型曲线。稀土元素总量上,东莫扎抓(0.46×10-6~10.79×10-6)较莫海拉亨矿床(0.25×10-6~5.88×10-6)高。稀土元素地球化学特征揭示,两个矿床的含钙矿物都沉淀自与岩浆作用无关的热液流体,伴随硫化物沉淀,流体盐度降低,还原性变弱。莫海拉亨矿床除具有一套和东莫扎抓矿床来源一致的流体外,还具有另一套来自深部变质基底的富氟流体,这套流体控制了富氟型碳酸盐岩容矿铅锌矿床的沉淀位置,使其在区域上更靠近逆冲体系主逆冲带,且多在区域上最底层的碳酸盐岩地层中发育。这一认识解释了世界上多个碳酸盐岩容矿铅锌成矿带内同一空间、时间范围内两套不同类型铅锌矿床型式共同出现的原因。     

龙门山及其邻区的地壳厚度和泊松比

根据龙门山及其周边地区(26°～35°N,98°～109°E)的132个台站的宽频带远震记录,使用H-k叠加方法计算地壳厚度和波速比.结果表明该区域的地壳厚度总体变化是:从东向西增加,东部的最小厚度为37.8km,西部的最大厚度是68.1 km,其中横跨龙门山断裂带的地壳厚度变化最大,从东南的41.5km增加到西北的52.5km.根据Airy均衡理论,用台站的高程和观测地壳厚度数据求得最小二乘意义下的壳幔密度差为0.649g/cm3,平均地壳厚度为37.9km.龙门山及其邻近地区基本上处于均衡状态.松潘-甘孜地体北部和西秦岭造山带具有低泊松比(v<0.26),扬子地台的西南部具有低一中泊松比(v<0.27),松潘-甘孜地体南部、三江褶皱带和四川盆地具有中一高泊松比(0.26≤P≤0.29).该地区的泊松比空间分布不支持青藏高原东部广泛分布的下地壳流的假说.龙门山断裂带南段及其附近地区的高泊松比(v≥0.30)可以看成是地壳具有较高的铁镁质组分和/或存在部分熔融.该地区下地壳可能是处于富含流体和温度较高的部分熔融状态.松潘-甘孜块体南部的上地壳物质向东运动,受刚性强度较大的扬子地台的阻挡,导致沿龙门山断裂带产生应变积累.当断层被地壳流体弱化,积累的应变能量快速释放,产生汶川Ms8.0地震.     

ZnO压敏陶瓷冲击老化的电子陷阱过程研究

使用8/20 μs脉冲电流发生器对普通商用ZnO陶瓷压敏电阻片进行了最多5000次的冲击试验.测量了冲击前后试样的电气性能和介电特性,分析了冲击后小电流区的U-I特性和损耗角正切值tanδ随脉冲大电流的不断作用而发生的变化.实验发现压敏电压U1mA随冲击次数的增加经历增大—稳定—减小三个过程.认为正反偏Schottky势垒的中性费米能级的变化是影响样品小电流区的最根本原因.本文提出用试样的非线性系数α作为老化特征参数比传统的U     

彗星等离子体某些特征的讨论

本文讨论了彗星中尘埃粒子的充电机制 ,带电特性和平衡电势的变化规律 ,分析了彗星尘埃的破碎特性和临界半径 ,得出了很有意义的结果     

Similarity model of feed support system for FAST

A new design of feed support system for Five hundred meter Aperture Spherical Telescope (FAST) is proposed in this paper. According to the similarity theory, a 1:15 scale model of feed support system has been built to make systemic research on the feasibility of the system. Then the control system and hardware structure of the feed support system are illustrated. A complete astronomical observation track is run by the scale model and the experiments results demonstrate that the new feed support system can satisfy the observation accuracy requirement of FAST.     

The Basic Shape Classification of Space Debris with Light Curves

We study the machine learning method for classifying the basic shape of space debris in both simulated and observed data experiments, where light curves are used as the input features. In the dataset for training and testing, simulated light curves are derived from four types of debris within different shapes and materials. Observed light curves are extracted from Mini-Mega TORTORA (MMT) database which is a publicly accessible source of space object photometric records. The experiments employ the deep convolutional neural network, make comparisons with other machine learning algorithms, and the results show CNN (Convolutional Neural Network) is better. In simulational experiments, both types of cylinder can be distinguished perfectly, and two other types of satellite have around 90% probability to be classified. Rockets and defunct satellites can achieve 99% success rate in binary classification, but in further sub-classes classifications, the rate becomes relatively lower.     

青岛多种天气下生物气溶胶中细菌群落特征

为探究雾、霾、沙尘等多种天气下生物气溶胶中细菌群落结构特征,于2017年12月-2018年4月采集了青岛晴天和多种特殊天气下的大气生物气溶胶样品,运用16 S rRNA高通量测序方法分析了样品中细菌群落结构.结果表明,在雾、霾、沙尘天均检测到对人体健康存在潜在危害的条件致病菌,其中变形菌门(Proteobacteria...