垂直无碰撞激波的离子加速机制

利用一维全粒子模拟得到的垂直无碰撞激波的位形,通过试验粒子方法研究了不同初始能量粒子的激波加速机制.将与激波相互作用的离子分成反射和直接穿过两类,发现只有被激波反射的离子可被激波明显加速,其中初始能量较小的反射离子通过激波冲浪机制加速,而初始能量较大的离子通过激波漂移加速机制加速.同时激波厚度还对离子被加速过程有重要影响.     

基于测试粒子模拟的垂直无碰撞激波对离子的加速研究

本文利用测试粒子模拟的方法研究离子在通过垂直无碰撞激波结构时的加速.我们首先探究了在理想激波条件下,离子通过激波结构后的能量增益与其初始参数(包括回旋相位角、初始位置和上游平均能量)的关系;然后进一步探索了离子通过由自洽的一维混合模拟给出的更接近真实的激波结构时获得的加速,研究了激波内部的电场和磁场结构对离子能量增益的...     

太阳风湍流和磁层亚暴的一种机制

太阳风的动量涨落将通过磁层边界在磁尾激发磁流体力学波。快磁声波携带扰动能量传到等离子体片中,发展为激波,或者通过激波的相互作用而耗散能量,使等离子体加热。等离子体片中的随机费米加速机制,使麦克斯韦分布尾巴部分的高能量粒子被加速到更高能。在宁静态时,加热、加速与耗散过程平衡。当太阳风的动量或者其涨落较大时,整个加热和加速过程加剧,更多的高能粒子产生,并从等离子体片中逃逸,形成高速的等离子体流注入近地轨道和极区,表现为磁层亚暴过程。利用这种机制,可以解释地球磁层亚暴的定性特征。     

空间尘埃等离子体中的重力波特性

建立尘埃等离子体中重力波的基本方程,推导尘埃等离子体中重力波的色散关系,分析地球极区中间层顶处尘埃等离子体层中的重力波特性,研究了重力波在电子密度垂直分层的尘埃等离子体中的反射. 结果表明尘埃等离子体改变了通常大气中的重力内波的色散关系,限制了小水平波数重力内波的传播,改变了波的能量特性,减小了重力波在不均匀大气中垂直向上传播时振幅的增长;在尘埃等离子体中传播时重力波可被电子密度垂直分层的结构反射而导致波能量的集中, 它产生的湍动所导致的空间电子密度的不均匀性分布是极区上空PMSEs的可能机制.     

日冕物质抛射与太阳粒子事件

本文介绍了２０多年来对日冕物质抛射与太阳粒子事件的关系和太阳粒子事件的源等方面的研究成果和进展。大量的研究表明，太阳粒子事件源于日冕物质抛射并被日冕和行星际激波加速和控制。在无耀斑源的日冕和行星际激波加速和控制。只有极少数产生太阳粒子事件，并且这些事件中多数为低能粒子事件。这些相关日冕物质抛射的共同特征是：无相关的强Ｘ射线爆发，产生的行星际激波速度较快，无激波加速，无Ⅱ和Ⅳ米波爆发。几乎所有的产生     

带电粒子在中性线磁场中的运动

本文利用了小扰动方法、轨道法以及粒子的运动区域,比较系统地研究了带电粒子在中性线磁场中的运动。其结果是: 1.带电粒子的运动轨道可分为漂移轨道、波动轨道与8字形轨道三种形式。小扰动方法不能使用于中性线的区域内,在这个区域出现一个与小扰动漂移运动相反方向的运动。 2.在沿中性线方向的电场的作用下,中性线周围的部分粒子可以聚集到中性线附近。当粒子进入非小扰动区时,它们将被中性线磁场反射,并被电场加速。 3.计算出磁尾中性片的厚度为在这个区域内,大部分带正电的粒子的平均运动是沿晨昏方向,带负电的粒子的运动则相反。磁尾区出现一个等离子体中性片电流。     

太阳风动量涨落激发磁层亚暴的机制

本文将太阳风涨落传输能量产生磁层亚暴的机制推广到无碰撞等离子体过程。太阳风的涨落在磁层顶激发压缩阿尔文波,并在磁尾的无碰撞等离子体中传播。尾瓣中满足条件β?1,而等离子体片中β≥1,其中β为等离子体压力与磁压之比。这样,快磁声波在尾瓣中几乎不衰减,而在等离子体片中很快衰减,将波动能量耗散在等离子体片中使等离子体加热或者粒子加速。这种机制还表明,磁尾等离子体片中的高能粒子可以由太阳风涨落动能耗散而被加速,不一定是直接源于太阳。     

MHD激波能量转换

从ＭＨＤＲａｎｋｉｎｅ－Ｈｕｇｏｎｉｏｔ关系出发，导出激波下游磁能、内能和动能相对上游的增长因子，它们依赖于上游的激波角、等离子体β值和激波强度．对这些因子分析得出：１．由于行星际存在大尺度螺旋磁场，使激波而不同部位能量转换率不同，导致激波面西侧为强磁场区；２．磁能、内能转换与介质流速无关，动能转换与流速呈线性关系；３．在激波驱动过程中，能量通过后向激波输入到前、后向激波间的相互作用区；４．行星际激波能量转换以法向动能为主，随着激波向外传播介质β值不断增大，法向动能增长因子不断减小，致使激波和太阳风介质的相互作用不断减弱．     

内日球子午面瞬态激波的传播特性

采用日球子午面内的二维三分量MHD模型,研究瞬态激波的传播特性,着重分析日球 电流片（HCS）、日球等离子体片（HPS）和低速流结构对激波传播的影响．结果表明,HCS 和HPS对激波传播几乎没有影响,而跨越HCS和HPS的低速流则显著改变激波的传播特性. 低 速流对激波的反射,导致激波扰动源一侧的激波速度加快、强度增强,低速流对激波透射的 阻碍作用导致激波扰动源异侧的激波滞后、强度减弱,但激波阵面的纬度跨度有所加宽．在 激波穿越过后,低速流区朝激波传播方向弯曲并受到骚扰,使得激波下游出现复杂的扰动结 构;对于激波扰动源同侧的激波下游,反射波与该处等离子体的相互作用同样会导致较为复 杂的扰动出现.     

地球磁层中超低频波与低能粒子的相互作用

太阳风—磁层耦合过程会产生各种等离子体波,其中超低频波的频率最低(1 mHz～1 Hz)、波长最长(与内磁层磁力线长度相当)、能量密度最大.超低频波在磁层粒子加速、物质输运和能量转化中起着重要作用.以往的研究主要关注超低频波的全球性传播和分布特征以及这些波动与磁层能量粒子(辐射带电子和环电流离子)的相互作用过程.最近几...     

Turbulent mechanisms in open channel sediment-laden flows

The effects of turbulence on water-sediment mixtures is a critical issue in studying sediment-laden flows. The sediment concentrations and particle inertia play a significant role in the effects of turbulence on mixtures. A two-phase mixture turbulence model was applied to investigate the turbulence mechanisms affecting sediment-laden flows. The two-phase mixture turbulence model takes into account the complicated mechanisms arising from interphase transfer of turbulent kinetic energy, particle collisions, and stratification. The turbulence in sediment-laden flows is the result of the interaction of four factors, i.e. the production, dissipation, diffusion, and inter-phase transfer of turbulent kinetic energy of mixtures. The turbulence production and dissipation are two dominant processes which balance the turbulent kinetic energy of mixtures. The turbulence production represents turbulence intensity, while the inter-phase transfer of turbulent kinetic energy denotes the effect of particles on the turbulence of sediment-laden flows. Although, the magnitude of the inter-phase interaction term is much less than that of the turbulence production and dissipation terms, due to an approximate local balance between production and dissipation of the turbulent kinetic energy, even the small order of the inter-phase interaction has a significant impact on the turbulent balance of sediment-laden flows. The presence of particles plays a duel role in the turbulence dissipation of mixtures: both promotion and suppression. An important parameter used to determine the turbulent viscosity of mixtures, which is constant in clear water, is the function of the sediment concentration and particle inertia in sediment-laden flows.     

Experimental study on three dimensional movements of particles Ⅱ Effects of particle diameter on turbulence characteristics

Based on the 3D PTV （Particle Tracking Velocimetry） measuring system, the 3D movement characteristics of particles with four different diameters were investigated. Under specific flow conditions, the impact of particle diameters on 3D motion of particles was studied, and the turbulence characteristics were analyzed by different statistical methods. The results showed that the turbulence intensity of coarse particle decreased as the diameter increased. In near wall region, the probability density distributions of longitudinal and vertical fluctuation velocities both deviated from the normal distribution; while in the outer region, the probability density distribution of vertical fluctuation velocity approximately agreed with the normal distribution.     

3D Lagrangian modelling of saltating particles diffusion in turbulent water flow

A 3D Lagrangian model of the saltation of solid spherical particles on the bed of an open channel flow, accounting for turbulence-induced mechanisms, is proposed and employed as the key tool of the study. The differences between conventional 2D models and a proposed 3D saltation model are discussed and the advantages of the 3D model are highlighted. Particularly, the 3D model includes a special procedure allowing generation of 3D flow velocity fields. This procedure is based on the assumption that the spectra of streamwise, vertical and transverse velocity components are known at any distance from the bed. The 3D model was used to identify and quantify effects of turbulence on particle entrainment and saltation. The analysis of particle trajectories focused on their diffusive nature, clarifying: (i) the effect of particle mobility parameter; (ii) the effect of bed topography; and (iii) the effect of turbulence. Specifically, the results of numerical simulations describing the abovementioned effects on the change in time of the variance are presented. In addition, the change in time of the skewness and kurtosis, which are likely to reflect the turbulence influence on the spread of particles, are also shown. Two different diffusion regimes (local and intermediate) for each of the investigated flow conditions are confidently identified.     

Turbulence in mobile-bed streams

This study is devoted to quantify the near-bed turbulence parameters in mobile-bed flows with bed-load transport. A reduction in near-bed velocity fluctuations due to the decrease of flow velocity relative to particle velocity of the transporting particles results in an excessive near-bed damping in Reynolds shear stress (RSS) distributions. The bed particles are associated with the momentum provided from the flow to maintain their motion overcoming the bed resistance. It leads to a reduction in RSS magnitude over the entire flow depth. In the logarithmic law, the von Kármán coefficient decreases in presence of bed-load transport. The turbulent kinetic energy budget reveals that for the bed-load transport, the pressure energy diffusion rate near the bed changes sharply to a negative magnitude, implying a gain in turbulence production. According to the quadrant analysis, sweep events in mobile-bed flows are the principal mechanism of bed-load transport. The universal probability density functions for turbulence parameters given by Bose and Dey have been successfully applied in mobile-bed flows.     

Experimental investigation of the velocity of a sand cloud blowing over a sandy surface

The velocity of a wind‐blown sand cloud is important for studying its kinetic energy, related erosion, and control measures. PDA (particle dynamics analyser) measurement technology is used in a wind tunnel to study the probability distribution of particle velocity, variations with height of the mean velocity and particle turbulence in a sand cloud blowing over a sandy surface. The results suggest that the probability distribution of the particle velocity in a blowing sand cloud is stochastic. The probability distribution of the downwind velocity complies with a Gaussian function, while that of the vertical velocity is greatly complicated by grain impact with the bed and particle–particle collisions in the air. The probability distribution of the vertical velocity of ?ne particles (0·1–0·3 mm sands) can be expressed as a Lorentzian function while that of coarse particles (0·3–0·6 mm sands) cannot be expressed by a simple distribution function. The mean downwind velocity is generally one or two orders greater than the mean vertical velocity, but the particle turbulence in the vertical direction is at least two orders greater than that in the downwind direction. In general, the mean downwind velocity increases with height and free‐stream wind velocity, but decreases with grain size. The variation with height of the mean downwind velocity can be expressed by a power function. The particle turbulence of a blowing sand cloud in the downwind direction decreases with height. The variations with height of the mean velocity and particle turbulence in the vertical direction are very complex. It can be concluded that the velocity of a sand cloud blowing over a sandy surface is mainly in?uenced by wind velocity, grain impact with the bed and particle–particle collisions in the air. Wind velocity is the primary factor in?uencing the downwind velocity of a blowing sand cloud, while the grain impact with the bed and particle–particle collisions in the air are the primary factors responsible for the vertical velocity. Copyright © 2004 John Wiley & Sons, Ltd.     

Parallel Electric Field and Electron Acceleration: an Advanced Model

A kinetic theory is necessary to explain the electron flows forming strong field-aligned currents in the auroral region. Its construction in this paper is based on the following propositions. (a) In the equatorial region, the arrival of electrons through the lateral surface of the magnetic flux tube is compensated for by their escape along the magnetic field. This is provided by action of the pitch-angle diffusion mechanism in the presence of plasma turbulence concentrated in this region. (b) Outside the equatorial region, the distribution functions of trapped and precipitating particles become “frozen.” The distributions and particle concentrations are calculated there in a model with conservation of the total energy and the magnetic moment. (c) The quasi-neutrality condition yields a large-scale parallel electric field, which contributes to the conserved total energy. In this field, the electron acceleration occurs, causing strong field-aligned currents directed upward from the ionosphere.     

Assessing sediment transport dynamics from energy perspective by using the instrumented particle

Sediment transport has been extensively studied. There is still a need to learn more about the mechanisms that make bed particles move, which is caused by turbulent flow in the low transport stages (above the motion threshold and below continuous transport). This work is focused on the use of an advanced tool to obtain a better perception of sediment transport dynamical methods: an instrumented particle equipped with a micro-electromechanical systems (MEMS) sensor. Particle transport experiments were carried out in a laboratory flume under a variety of well-controlled above-the-threshold-of-motion flow conditions. By using sensor data, the kinetic energies were calculated with different flow rates and particle densities (mimicking different types of sediments sizes) to generate the probability distribution functions (PDFs) of particle transport features, like the total kinetic energy of particles, which provided information about particle interaction with the bed surface during its motion. The energy transfer efficiency was also studied, which can link the rate of energy transferred from the flow to the particle transport, so it can determine how efficiently a flow can transfer energy to the particle and how it affects the magnitude of sediment transport. In general, the instrumented particle response by a series of experiments showed consistent and satisfactory results and demonstrated its capability to record inertial dynamics because of flow turbulence at low cost. These experiments used different particle sizes and densities than those found in real-world sediments because of sensor size and lab limitations. They do, however, provide a framework and trends that others can use to do more research into bed load transport rates in built canals and natural rivers.     

Isolated turbidity maxima in shelf seas

Visible-band satellite pictures of the Irish Sea reveal the presence of isolated areas of enhanced turbidity which are geographically fixed and present all year, although they are more strongly marked in winter. The positions of these maxima coincide with areas of fast tidal currents: some of the dissipated tidal energy is used to raise fine sediments into suspension, producing the turbidity. However, there is no obvious source of fine sediment at the maxima, and without a source they would be expected to diffuse away, down the turbidity gradient. Their continued presence is therefore a puzzle, and it has proved difficult to reproduce these features in numerical models. Recent observations, presented here, suggest a possible mechanism by which isolated turbidity maxima may be maintained. These measurements show that the gradients of concentration on the sides of the turbidity maximum are in opposite senses for different particle sizes, and that there is a flux of fine particles out of the maximum and one of larger particles into it. A mechanism which can explain this observation, and which can also explain the continued presence of turbidity maxima isolated from a local source is as follows: the high turbulent energy levels at the centre of the patch tear flocculated particles apart. These fine particles then diffuse away down the gradient of fine particles and to areas of lower energy. Here they aggregate to form larger particles which diffuse back down the gradient of large particles towards the centre of the turbidity maximum, where they are torn up and the cycle continues. The source of material for the turbidity maxima is therefore larger flocculated particles in the surrounding water. This idea is tested quantitatively with an analytical solution to the steady-state diffusion equation incorporating aggregation and dis-aggregation of particles as simple functions of turbulent energy. The solution shows that isolated maxima of fine suspended particles can be maintained at regions of high turbulence without the necessity to invoke a local (non-sustainable) source. Within the maximum, strong vertical mixing lifts the slow settling fine particles to the surface to produce an isolated surface turbidity maximum as observed. We conclude that for models to successfully produce turbidity maxima in the presence of diffusion they should incorporate at least two particle size classes and aggregation and dis-aggregation of particles according to the local level of turbulence.     

等离子体湍流对电子的加速

本文讨论了等离子体湍流对电子加速的两种模型:（1）假定在空间中存在一个空间均匀的等离子体湍流区,当具有一定初始分布的电子束通过此湍流区时,研究湍流场对电子束的加速过程;（2）在某一封闭的区域中,存在着具有一定初始分布和空间均匀的等离子体,当某种类型的等离子体波突然传入此等离子体区,然后考察此区中电子的加速过程。在这两种模型中,可能存在着某种电子消失机制。假定湍谱是幂指数形式,我们给出了不同类型湍流扩散系数的普遍形式。利用较简单的数学方法,求解了包括消失过程的一维准线性动力学方程,对于给定的初始分布,得出了分布函数的解析解,并给出了平均能量时间关系的表达式。另外,对于特定的湍谱指数,解出了当平行电场和湍流同时存在时的分布函数。最后,对所得结果进行了数值分析和讨论。