第21～24太阳周4类空间天气事件爆发特征统计分析

对第21～24太阳周不同等级的太阳X射线耀斑事件、太阳质子事件、地磁暴事件及高能电子增强事件的爆发频次特征进行统计,结果表明:太阳周耀斑爆发的总数量与该太阳周的黑子数峰值呈正比,耀斑总数、X级耀斑事件数与峰值的相关系数分别为0.974,0.997;太阳质子事件主要发生在峰年前后1～2年,约占总发生次数的80%,峰值通量大于10pfu （1 pfu=1 cm-2·sr-1·s-1）的质子事件中,84%伴有耀斑爆发,并且主要伴随M或X级耀斑,少量伴随C级耀斑,峰值通量大于1000pfu的质子事件中,98%伴随M或X级耀斑,并且以X级耀斑为主;第21,22,23和24太阳周发生地磁暴最频繁的时间分别在1982,1991,2003年和2015年,分别滞后黑子数峰值时间3年、2年、2年和1年;72%的高能电子增强事件发生在太阳周下降期,24%的高能电子增强事件发生在太阳周上升期.      

一种新的太阳质子事件警报方法的探讨

本文分析了第21太阳活动周后半期的太阳质子耀斑硬X射线辐射资料, 发现它们的峰值流量、积分流量、上升沿斜率、X光子的最高能量和持续时间等物理参数之间有着不同于非质子耀斑的相关性。据此, 本文采用模糊聚类分析法, 对21太阳活动周期间(1980.2—1986.2)的质子事件进行预报试验。其报准率为88.5%, 虚报率为53.1%, 漏报率为11.5%。本文提供了基于X射线辐射特征的太阳质子事件警报的新途径和方法。      

利用相似周方法预测第24活动周开始时间

利用相似周方法对第24活动周的开始时间与第23活动周下降相后期的太阳黑子数进行了预报.根据第23周已经出现的特征参量和下降相的形态特征,选取9,10,11,15,17和20等六个太阳活动周作为第23周下降相的相似周,对第24周开始时间进行预报.预报结果显示,第24活动周的开始时间为2007年5±1月,黑子数平滑月均极小值为7.1±2.6,第23太阳活动周长度为11.1年.与其他研究者的预报结果相比较,本文给出的结果与文献[11]和[12]及MSFC的结果比较一致.通过对相似周方法在下降相预测太阳活动周结束时间的研究讨论,及对第23周上升阶段的太阳黑子数和F10.7平滑月均值预报结果的评估,可以看出,相似周预报方法在太阳活动周长期预报中是很有应用价值的.      

基于太阳10.7 cm射电流量的全日面耀斑预报方法

太阳耀斑是一种重要的太阳爆发活动现象,表现为近乎全波段的电磁辐射增强。统计表明,太阳活动水平越高,太阳爆发越频繁,耀斑爆发的概率越大。利用1975-2007年10.7 cm流量与耀斑爆发的统计关系,建立了一种可行的全日面爆发耀斑概率的预报方法,能够实现C,M,X三种级别的耀斑在全日面爆发的概率预报。通过2008-2016年的观测数据,对模型进行了预报性能的评估,得到模型对C,M,X级耀斑发生概率的预报误差均较小,Brier评分误差分别为0.113,0.087,0.012;模型的预报性能均比平均模型有提高,对C,M,X级耀斑发生概率预报的Brier技巧评分分别为0.250,0.106,0.012。在2008-2016年未来1天耀斑预报的模型实测中,模型的预报效果与中国科学院空间环境预报中心的预报效果相当,这说明该模型在实际的空间环境预报中切实可行。     

1996-2002年太阳耀斑的统计分析

分析了1996-2002年南北半球的太阳黑子相对数和南北半球太阳X射线耀斑级别(简称Imp)≥M1．0的太阳X射线耀斑的特征和不对称性．分析结果表明，南北半球的太阳耀斑活动的程度交替上升，在2001年7月以前北半球的太阳耀斑活动强于南半球，2001年7月开始耀斑活动逐渐以南半球为主．本文还逐月分析了1996—2001年南北半球的耀斑指数．2000年7月为第23周太阳指数最大的一个月，与第23周太阳黑子相对数最大月均值吻合．     

基于PCA方法对太阳活动区主要参量的分析

太阳耀斑与太阳质子事件的发生通常与太阳活动区存在非常密切的关系, 对这种关系的深入分析有助于太阳耀斑和太阳质子事件预报模型的建立. 本文利用主成分分析(Principal Component Analysis, PCA)方法对1997-2010年太阳质子事件所在活动区的主要参量进行分析, 选取的参量包括黑子磁分类、 McIntosh分类、太阳黑子群面积、10.7 cm射电流量、耀斑指数、质子耀斑位置和软X射线耀斑强度. 结果得到81个太阳活动主成分得分值排序(得分值代表每个事件的强弱), 与太阳质子事件峰值流量、太阳黑子年均值以及10.7 cm射电流量年均值的对比显示相似度非常高, 表明主成分得分值一定程度上可以反映太阳活动的强弱规律.      

太阳质子事件警报

采用人工神经网络预报方法,利用太阳耀斑的日面位置、X射线辐射的峰值流量及其上升时间、2695MHz和8800MHz微波辐射的半积分流量等5个物理参量,提出了一个新的太阳质子事件警报方案,预报太阳质子事件的发生及其流量和时间．该方案在本文检验中达到93．75％的预报准确率．     

一种短波SID监测记录及其在太阳X射线耀斑观测中的应用

本文介绍了北京大学目前进行的电离层观测中的一种SID地面连续监测设备;着重讨论它在太阳耀斑观测方面的应用.通过对1982-1983年资料的分析表明,此方法对太阳耀斑活动十分敏感.所记录到的SID现象与世界上其他主要台站的报告基本上一致.文中介绍的几个实例说明有可能利用SID形态研究耀斑时的X射线强度的时间演变.统计结果还表明1-8A谱段的X射线峰值流量与SID扰动强度之间满足一个较简单的关系式,可据此对较大的太阳X射线耀斑的峰值流量做出估计.      

太阳质子耀斑X射线辐射特征及质子事件警报

太阳质子耀斑X射线辐射特征的研究, 为太阳质子事件的警报提供一个重要的途径和方法。本文分析了第21周太阳活动峰年(1977—1986)期间质子耀斑和相应的GOES和SMM卫星观测的X射线辐射资料, 结果表明:大部分质子耀斑的硬X射线峰值流量F_HX≥104s/c;积分流量F₀≥106counts;硬X射线辐射到达峰值时间T_R≥100s;持续时间T_D≥103s;X光子最高能量E_x≥300keV;平均能谱指数√r≤3.5;高能时延T_L≥10s。利用这些X射线暴的特征参数, 对第21周峰年大质子事件作警报检验, 结果是:报准率为94％, 虚报率为40％。      

太阳X射线耀斑活动区的一些特征

对ISEE-3人造卫星在1980年5月—1981年8月中,观测到的48个X射线耀斑进行了分析,发现其中有1/3是在6个活动区中重复爆发的.研究这部分X射线耀斑的物理性质与所在活动区的黑子面积、活动区类型及磁结构的关系,得到了一些结果:(1)发生在同一活动区中的X射线耀斑,其硬X射线峰值积分流量及谱硬度与活动区黑子面积成正相关;(2)多次爆发X射线耀斑的活动区全部具有δ型磁结构;(3)发生在不同活动区中的X射线耀斑,其物理特征与所在活动区的面积大小无明显关系.由此可以认为,活动区磁场梯度的大小,亦即活动区电流的大小,在爆发耀斑的过程中具有决定性作用.此外,还用电流环模型从理论上讨论了上述特征.     

质子事件上升时间及峰值强度的统计研究

在耀斑已基本确定为质子耀斑的情况下, 为了对即将到达地球的太阳质子作出半定量的粗略预报(警报), 即估计从观测到光学耀斑开始, 需经多长时间质子通量将到达峰值;峰值强度有多大。为此, 我们收集了1967年5月—1972年12月约五年半期间国外发表的比较系统的质子事件资料, 以及相应的太阳耀斑和太阳射电资料。      

PPS-87: a new event oriented solar proton prediction model.

A new event-oriented solar proton prediction model has been developed and implemented at the USAF Space Environment forecast facility. This new model generates predicted solar proton time-intensity profiles for a number of user adjustable energy ranges and is also capable of making predictions for the heavy ion flux. The computer program is designed so a forecaster can select inputs based on the data available in near real-time at the forecast center as the solar flare is occurring. The predicted event amplitude is based on the electromagnetic emission parameters of the solar flare (either microwave or soft X-ray emission) and the solar flare position on the sun. The model also has an update capability where the forecaster can normalize the prediction to actual spacecraft observations of spectral slope and particle flux as the event is occurring in order to more accurately predict the future time-intensity profile of the solar particle flux. Besides containing improvements in the accuracy of the predicted energetic particle event onset time and magnitude, the new model converts the predicted solar particle flux into an expected radiation dose that might be experienced by an astronaut during EVA activities or inside the space shuttle.     

由太阳爆发事件特征预报地磁暴方法研究

CME是非重现性地磁暴的诱因,通过对太阳耀斑爆发活动的特征与可能引起地磁活动的CME进行统计分析,发现太阳耀斑的强度、位置、持续时间以及耀斑所伴随的太阳质子事件和行星际高能质子通量的增长与CME的特征及可能产生的地磁扰动有着密切的关系.在对数据分析的基础上,建立了基于人工神经网络的预报模式,对太阳耀斑爆发活动所引起的地磁扰动的发生及Ap指数进行了预报,取得了较好的结果.      

Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting

The support vector machine (SVM) combined with K-nearest neighbors (KNN), called the SVM-KNN method, is new classing algorithm that take the advantages of the SVM and KNN. This method is applied to the forecasting models for solar flares and proton events. For the solar flare forecasting model, the sunspot area, the sunspot magnetic class, and the McIntosh class of sunspot group and 10 cm solar radio flux are chosen as inputs; for the solar proton event forecasting model, the inputs include the longitude of active regions, the flux of soft X-ray, and those for the solar flare forecasting model. Detailed tests are implemented for both of the proposed forecasting models, in which the SVM-KNN and the SVM methods are compared. The testing results demonstrate that the SVM-KNN method provide a higher forecasting accuracy in contrast to the SVM. It also gives an increased rate of ‘Low’ prediction at the same time. The ‘Low’ prediction means occurrence of solar flares or proton events with predictions of non-occurrence. This method show promise for forecasting models of solar flare and proton events.     

MHD simulation of magnetic field configuration above the active region NOAA 10365

The current sheet (CS) creation before a flare in the vicinity of a singular line above the active region NOAA 10365 is shown in numerical experiments. Such a way the possibility of energy accumulation for a solar flare is demonstrated. These data and results of observation confirm the electrodynamical solar flare model that explains solar flares and CME appearance during CS disruption. The model explains also all phenomena observed in flares. For correct reproduction of the real boundary conditions the magnetic flux between spots should be taken into account. The full system of 3D MHD equations are solved using the PERESVET code. For setting the boundary conditions the method of photospheric magnetic maps is used. Such a method permits to take into account all evolution of photospherical magnetic field during several days before the flare.     

CME productivity associated with Solar Flare peak X-ray emission flux

It is often noticed that the occurrence rate of Coronal Mass Ejections (CMEs) increases with increase in flare duration where peak flux too increase. However, there is no complete association between the duration and peak flux. Distinct characteristics have been reported for active regions (ARs) where flares and CMEs occur in contrast to ARs where flares alone occur. It is observed that peak flux of flares is higher when associated with CMEs compared to peak flux of flares with which CMEs are not associated. In other words, it is likely that flare duration and peak flux are independently affected by distinct active region dynamics. Hence, we examine the relative ability of flare duration and peak flux in enhancing the CME productivity. We report that CME productivity is distinctly higher in association with the enhancement of flare peak flux in comparison to corresponding enhancement of flare duration.     

Power-law spectra of energetic electrons in solar flares from the maximum entropy and dimensional considerations

The maximum entropy formalism and dimensional analysis are used to derive a power-law spectrum of accelerated electrons in impulsive solar flares, where the particles can contain a significant fraction of the total flare energy. Entropy considerations are used to derive a power-law spectrum for a particle distribution characterised by its order of magnitude of energy. The derivation extends an earlier one-dimensional argument to the case of an isotropic three-dimensional particle distribution. Dimensional arguments employ the idea that the spectrum should reflect a balance between the processes of energy input into the corona and energy dissipation in solar flares. The governing parameters are suggested on theoretical grounds and shown to be consistent with solar flare observations. The flare electron flux, differential in the non-relativistic electron kinetic energy E, is predicted to scale as $E^{-3}$. This scaling is in agreement with RHESSI measurements of the hard X-ray flux that is generated by deka-keV electrons, accelerated in intense solar flares.