基于灰色理论的太阳风速度关联因素分析  

Analysis of Associated Factors on Velocity of Solar Wind on the Basis of Grey Theory

作　　者：明勇[1,2] 甘晓敏 王华军[1] 

机构地区：[1]成都理工大学地球物理学院,四川成都610009 [2]国家开放大学(成都),四川成都610051

出　　处：《攀枝花学院学报》2017年第2期20-24,共5页Journal of Panzhihua University

摘　　要：太阳风是日地空间的联系纽带,也是日地空间磁场形成的重要原因,太阳风的近地速度为200-900KM/S,太阳活动期间高速太阳风经过地球时,会对地球造成干扰,引起磁暴,破坏通讯设施设备和电力设备,对人类造成灾难性事件。对太阳风的仿真研究是空间物理和空间大气研究的重要内容。在太阳风仿真实践过程中太阳风的速度是最为关键的因素,但是影响太阳风速度的因素很多,本文立足太阳活动的客观观测数据,应用灰色关联分析方法,建立数理模型,客观分析太阳风速度和巴特尔斯数、太阳黑子数、f10.7指数、太阳风等离子温度、K_p指数、AE指数、Dst指数等关联因素的关联度。研究结果表明太阳风速度与K_p指数、AE指数和太阳黑子数的关联程度最高,因此在太阳风仿真研究中必须要考虑这3种因素对仿真结果的影响。Solar wind is not only a link between the sun and the earth, but also an important factor for the formation of the magnetic fields between these two spaces. The solar wind flows at 200 -900km/s near the earth. During its movement, it may disturb the earth, cause magnetic storm, destroy communication facilities and elec- tric equipment, and induce catastrophic events to human beings as it passes the earth. Simulative research of solar wind is an important part of studies concerning space physics and atmosphere. During simulation practices of solar wind, its speed is the most critical factor, whereas it is influenced by many factors. In this paper, mathematical and physical models are constructed by grey relational analysis based on objective observations of solar activities, in order to objectively analyze the degree of correlations among associated factors, including speed of solar wind, Bartels＇ number, sunspot number, fl0.7 index, plasma temperature of solar wind, Kp index, Ap index and Dst index. The results suggest that the speed of solar wind is correlated to Barrels＇ number, f10.7 index and sunspot number to the greatest extent. This indicates that it is necessary to consider impacts of these three factors upon the simulation results in simulatively exploring solar wind.

关 键 词：太阳风 速度 关联度 灰色 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]