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基于Green函数法的太阳高能粒子行星际扩散过程模拟

朱琳玲 张效信 顾斌

朱琳玲, 张效信, 顾斌. 基于Green函数法的太阳高能粒子行星际扩散过程模拟[J]. 空间科学学报, 2022, 42(2): 191-198. doi: 10.11728/cjss2022.02.210326038
引用本文: 朱琳玲, 张效信, 顾斌. 基于Green函数法的太阳高能粒子行星际扩散过程模拟[J]. 空间科学学报, 2022, 42(2): 191-198. doi: 10.11728/cjss2022.02.210326038
ZHU Linling, ZHANG Xiaoxin, GU Bin. Simulation of the Diffusion Processes of Solar Energetic Particle Events Based on the Green Functional Theory (in Chinese). Chinese Journal of Space Science, 2022, 42(2): 191-198. DOI: 10.11728/cjss2022.02.210326038
Citation: ZHU Linling, ZHANG Xiaoxin, GU Bin. Simulation of the Diffusion Processes of Solar Energetic Particle Events Based on the Green Functional Theory (in Chinese). Chinese Journal of Space Science, 2022, 42(2): 191-198. DOI: 10.11728/cjss2022.02.210326038

基于Green函数法的太阳高能粒子行星际扩散过程模拟

doi: 10.11728/cjss2022.02.210326038
基金项目: 国家自然科学基金项目(41931073, 41774152)和国家重点研发计划项目(2021YFA0718600)共同资助
详细信息
    作者简介:

    朱琳玲:E-mail:zhulinling@cma.cn

    通讯作者:

    张效信,E-mail:xxzhang@cma.gov.cn

  • 中图分类号: P353

Simulation of the Diffusion Processes of Solar Energetic Particle Events Based on the Green Functional Theory

  • 摘要: 统计分析了自1976-2017年期间记录到的217次SEP(Solar Energetic Particle)事件的日冕足点经度位置,其分布特征符合日冕横向分布的东西效应,同时基于两相传输模型及其Green函数解,对发生在不同日冕足点的四次SEP事件进行了模拟研究。模拟与观测结果表现一致,表明该模型能够较好地模拟发生在不同日冕足点的SEP事件。针对模型中多个传输参数开展的敏感性试验发现,SEP事件日冕足点经度位置能够影响观测结果的探测时间和峰值,而太阳风速对发生在不同日冕足点的事件具有不同影响机制;此外,日冕区扩散系数与SEP事件在日冕区的扩散过程相关,主要影响事件的强度峰值;行星际径向扩散系数的改变对于模拟结果的影响主要体现在峰值到达时间上,且由于SEP事件主要是在大尺度的行星际磁场中传播,行星际径向扩散系数对于模拟结果的影响最为显著,而表征粒子源释放时间尺度的逃逸时间对于模拟结果影响相对较小。

     

  • 图  1  SEP日冕扩散和行星际传输

    Figure  1.  Two-phase propagation scheme of SEPs from solar surface to interplanetary area

    图  2  1976-2017年观测到的SEP事件日冕足点经度位置统计

    Figure  2.  Statistical histogram of coronal-foot-point longitude of 217 SEP events from 1976 to 2017

    图  3  2005年6月16日SEP事件观测与模拟结果对比(a)及期间的太阳风速(b)

    Figure  3.  Comparison between the measurement and the simulation of the SEP event observed on 16 June 2005 (a) and the associated solar wind velocity (b)

    图  4  两相模型不同参数的敏感性试验结果

    Figure  4.  Sensitivity test results of different parameters of the two-phase model

    图  5  三次SEP事件观测和模拟结果对比以及事件期间的太阳风速观测结果

    Figure  5.  Comparisons between the measurement and the simulation of three SEP events and their associated solar wind velocities

    表  1  不同参数对于SEP事件影响的敏感性试验参数设置

    Table  1.   Parameter setting of sensitivity test for SEP events

    试验类型SEP事件日冕
    足点/(°) W
    平均太阳风速
    vsw / (km·s–1)
    日冕区扩散系数
    κ0 (×1015) / (cm2·s–1)
    行星际径向扩散系数
    Kr (×1021) / (cm2·s–1)
    逃逸时间τe / s
    参考组875834.01.01000
    试验组一505834.01.01000
    试验组二8711664.01.01000
    试验组三5011664.01.01000
    试验组四875832.01.01000
    试验组五875834.02.01000
    试验组六875834.01.02000
    下载: 导出CSV

    表  2  四次不同日冕足点SEP事件特征参数

    Table  2.   Characteristic parameters of the four SEP events with different coronal-foot-point longitudes

    SEP事件发生
    时间
    日冕足点位置/
    (°)
    相应耀斑
    等级
    平均太阳风速vsw /
    (km·s–1
    事件强度峰值 /
    (cm–2·s–1·sr–1
    峰值上升沿
    时间t / h
    2005-06-16 87 W M4 583 43.2 6.1
    2017-09-04 16 W M5 520 102.2 9.2
    2013-04-11 12 E M6 440 114.3 8.4
    2014-02-25 82 E X4 447 23.9 20.4
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-03-26
  • 录用日期:  2022-07-22
  • 修回日期:  2021-11-08
  • 网络出版日期:  2022-05-25

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