[1]张华龙,黄朝艳,卜淑平. 基于Boltzmann方程的TLEs电子分布特性研究[J].计算机技术与发展,2015,25(09):204-208.
 ZHANG Hua-long,HUANG Chao-yan,BU Shu-ping. Research on Characteristics of Electron Energy Distribution Function of TLEs Based on Boltzmann Equation[J].,2015,25(09):204-208.
点击复制

 基于Boltzmann方程的TLEs电子分布特性研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年09期
页码:
204-208
栏目:
应用开发研究
出版日期:
2015-09-10

文章信息/Info

Title:
 Research on Characteristics of Electron Energy Distribution Function of TLEs Based on Boltzmann Equation
文章编号:
1673-629X(2015)09-0204-05
作者:
 张华龙黄朝艳卜淑平
 南京航空航天大学 航天学院
Author(s):
 ZHANG Hua-longHUANG Chao-yanBU Shu-ping
关键词:
 中高层大气瞬态发光事件玻尔兹曼方程电子能量分布函数影响参数
Keywords:
 TLEsBoltzmann transport equationelectron energy distribution functioninfluencing parameters
分类号:
TP39
文献标志码:
A
摘要:
 中高层大气瞬态发光事件( TLEs)是临近空间研究的热点课题,研究TLEs的辐射特性、扰动电子密度等问题的关键在于求解电子能量分布函数( EEDF)。文中基于玻尔兹曼方程数值模型,求解得到了TLEs中气体随时间变化的EEDF;结合唯一变量法,获得了求解过程中的时间步长(δt )、电子能量网格间隔(△ε)、约化电场( E/N)、大气压强( P)、大气温度( tgas )、麦克斯韦分布初始电子平均能量( tel )等对EEDF的影响及其规律;提出了如何在实际复杂环境、变化电场的情况下,利用Boltzmann方程数值模型,并运用这些规律来求解TLEs中气体EEDF,以得到更加准确的结果。
Abstract:
 Transient Luminous Events ( TLEs) in the upper atmosphere is a focus of near space,to solve the Electron Energy Distribution Function (EEDF) is the key to research the TLEs’ problems of the radiation characteristics,the disturbed electron density and so on. Based on the numerical model of Boltzmann equation,the time evolution of the EEDF is calculated;combined with the only variable prin-ciple,found that many parameters,such as the time step ( δt ) ,the grid interval of electronic energy ( △ε) ,reduced electric field ( E/N) , atmospheric pressure ( P ) ,atmospheric temperature ( tgas ) and initial electric average energy of Maxwell distribution ( tel ) ,have influenced on EEDF and its regularity. Under the complicated environment and the changing electric field in the actual in order,how to solve the EEDF of the gases in TLEs to get more accurate result using the numerical model of Boltzmann equation are identified.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(09):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(09):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(09):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(09):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(09):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(09):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(09):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(09):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(09):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(09):47.

更新日期/Last Update: 2015-10-16