ATON型Hall推力器缓冲区预电离问题研究

ATON是20世纪90年代新提出的一种Hall推力器设计方案,其中的缓冲区是ATON新采用的一种结构.本文对缓冲区的作用进行分析,在此基础上提出了采用附加电源提高缓冲区预电离率的方法.并采用PIC(Particle-in-cell)粒子模拟方法对这种设计方式的等离子体分布进行数值模拟.结果表明,通过增加缓冲区内的附加电压,能够有效地提高缓冲区预电离率.     

The black water around the Changjiang (Yangtze) Estuary in the spring of 2003

The Changjiang (Yangtze) Estuary is located in the East China Sea shelf with shallow water. Affected by the tide mixing and the runoff of the Changjiang River and the Qiantang River, the turbidity is very high. Generally, the water-leaving radiance is high in the turbid water because of the large particle scattering. Based on the in-situ data and ocean color remote sensing data of SeaWiFS, it was found that there was a black water region with the normalized water-leaving radiances less than 0.5 mW/(cm2·μm2·...     

The impact of physical processes on pollutant transport in Hangzhou Bay

A Lagrangian tracer model is set up for Hangzhou Bay based on Coupled Hydrodynamical Ecological model for Regional Shelf Sea (COHERENS). The study area is divided into eight subdomains to identify the dominant physical processes, and the studied periods are March (the dry season) and July (the wet season). The model performance has been first verified by sea-surface elevation and tidal current observations at several stations. Eight tracer experiments are designed and Lagrangian particle tracking is simulated to examine the impact of physical processes (tide, wind and river runoff) on the transport of passive tracer released within the surface layer. Numerical simulations and analysis indicate that: (1) wind does not change the tracer distribution after 30 days except for those released from the south area of the bay during the wet season; (2) the tide and the Qiantang River runoff are important for particle transport in the head area of the bay; (3) the Changjiang River runoff affects the tracer transport at the mouth of the bay, and its impact is smaller in the dry season than in the wet season. Supported by the Natural Science Foundation of China (No.40576080); National High Technology Research and Development Program of China (863 Program, No. 2007AA12Z182)     

非球形轴对称粒子光散射的散射矩阵元素展开系数的数值计算

扼要地介绍了非球形粒子光散射的散射矩阵元素按广义球函数展开的基本理论,以及球形粒子散射矩阵元素间的关系。在此基础上较详细地阐述了计算展开系数的方法以及在程序研制中所遇到的一些问题。最后,对非球形的Ｃｈｅｂｙｓｈｅｖ粒子光散射的散射矩阵元素的展开系数进行了计算,结果表明数值技术和计算的正确性。     

利用混沌粒子群算法确定河流水质模型参数

将混沌寻优思想引入到粒子群优化算法中,提出了混沌粒子群算法,这种方法利用混沌运动的随机性、遍历性和规律性等特性对当前粒子群体中的粒子进行混沌寻优.通过这种处理使得粒子群体的进化速度加快,从而改善了粒子群优化算法摆脱局部极值点的能力,提高了算法的收敛速度和精度.并将混沌粒子群算法应用于求解分析瞬时投放示踪剂情况下的一维河流水团示踪试验数据以及确定河流水质参数的函数优化问题,结果表明,混沌粒子群算法的收敛性能明显优于粒子群优化算法.     

济南东部大辛河渗漏段地下水示踪试验与分析

2013年以来,济南市为正确处理好保泉和市民饮用优质地下水的关系,组织实施了地表水转换地下水补源系列工程,旨在补源保泉的前提下开采地下水。大辛河地表水转地下水工程是其中重要的组成部分,为了查明大辛河渗漏补源后地下水的补给方向、径流速度等,在大辛河主要渗漏段开展了地下水示踪试验。结果显示:地下水渗漏补源后沿渗漏段—龙奥大厦—济南东区供水奥体加压站—贤文小区一线大体自南向北径流,视径流速度约45m/d,越往两侧流速越缓慢,表明大辛河地表水转地下水工程主要对东郊水源地进行补给,对市区四大泉群补给较弱。示踪试验得出的结论,对大辛河地表水转地下水工程运行具有重要指导作用,对后期管理部门合理规划补源、开采布局具有重要的借鉴意义,促进济南保泉和供水的有机统一。     

基于改进BP神经网络的海底底质分类

通过采用遗传算法优化神经网络初始权值的方法,将GA算法与BP神经网络有机结合,应用于海底底质分类。基于多波束测深系统获取的反向散射强度数据,应用改进的BP神经网络分类方法,实现对海底基岩、砾石、砂、细砂和泥等底质类型的快速、准确识别。通过实验比较,GA-BP神经网络分类精度明显高于BP神经网络,证明了该方法的有效性和可靠性。     

观测值含有粗差的抗差粒子滤波算法

作为非线性滤波的代表,粒子滤波得到广泛应用。该算法通过随机生成的具有权重的样本（粒子）来计算后验概率密度。其中赋权的过程需要综合系统信息和观测信息,当观测值含有粗差时,会使粒子错误赋权影响滤波结果。提出一种新的基于抗差估计的抗差粒子滤波算法,通过计算粒子等价权,抑制观测值粗差的影响。模拟计算分析表明,当观测值含有粗差时,与标准粒子滤波相比,该方法能有效提高滤波精度。     

Correlation Between Total Lightning Activity and Precipitation Particle Characteristics Observed from 34 Thunderstorms

A total of 34 thunderstorms around Shanghai and Wuhan of China are analyzed in order to determine the relationship between total lightning activity and precipitation particle characteristics.Precipitation particle concentration data are obtained from the 2A12 product of TRMM/TMI(Tropical Rainfall Measuring Mission/TRMM Microwave Image) and lightning activity data are from the TRMM/LIS(Lightning Imaging Sensor) and SAFIR3000(Surveillance et Alerte Founder par Interferometric Radioelectirque).On a spatial ...     

几种地下水流向流速测定法的分析

本文首先对地下水流向流速测定方法作了初步分类,然后叙述了各种方法的基本原理,介绍了目前国外常用的电位差法、井中电视法和热示踪法;分析讨论了各种方法的优缺点,最后强调指出,仪器的测量必须与地质、水文地质条件和地下水的物理化学特性相结合,才能正确地测定地下水的流向流速。