Volume 34 Issue 6
Nov.  2014
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SHEN Lin, DUN Jinping, ZHANG Xiaoxin, JIANG Yong. Analysis of the Major Parameters in Solar Active Regions Based on PCA Method[J]. Chinese Journal of Space Science, 2014, 34(6): 765-772. doi: 10.11728/cjss2014.06.765
Citation: SHEN Lin, DUN Jinping, ZHANG Xiaoxin, JIANG Yong. Analysis of the Major Parameters in Solar Active Regions Based on PCA Method[J]. Chinese Journal of Space Science, 2014, 34(6): 765-772. doi: 10.11728/cjss2014.06.765
shu

Analysis of the Major Parameters in Solar Active Regions Based on PCA Method

doi: 10.11728/cjss2014.06.765 cstr: 32142.14.cjss2014.06.765
  • 1.

    College of Math and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044

  • 2.

    National Satellite Meteorology Center, China Meteorological Administration, Beijing 100081

  • Received Date: 2013-11-19
  • Rev Recd Date: 2014-02-26
  • Publish Date: 2014-11-15
    Abstract
  • Solar active region has close relationship with solar flares and solar proton events. In order to better understand the complicated relations between them as well as to build a concrete foundation for the forecasting of solar flares and solar proton events, the Principal Component Analysis (PCA) method is adopted to analyze the main parameters of solar active regions during 2007-2010. The parameters selected include sunspot magnetic classification, McIntosh classification, sunspot group area, 10.7 cm radio flux, flare index, the position of proton flares and soft X-ray flare intensity. A total of 81 principal component scores are obtained and compared with the solar proton event peak flow and annual average sunspot, 10.7 cm radio flux annual average, and it is found that the similarity is very high. The statistic results show that the principal component scores can represent the strength of solar activity to some extent.

     

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