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GPS电离层掩星数据分析汶川大地震电离层响应 被引量:3

Ionospheric Response with Wenchuan Big Earthquake by Occulted Data
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摘要 利用COSMIC和CHAMP掩星的电离层掩星资料研究汶川大地震引起的电离层响应。选取了2008年4月30日到5月18日共19天的北纬20°到40°,东经80°到120°的共309个掩星数据进行分析。采用人工神经网络插值技术,分析震中附近上空电离层F2区的临界频率的日变化。结果表明:震前6天电离层F2区的临界频率和电子密度的峰值高度开始明显下降,在震前的三天内其值达到最小。震后他它们的值开始逐步回升。 Ionospheric response caused by Wenchuan earthquake is analyzed using by COSMIC and CHAMP occulted data, from April 30, 2008 to May 18 altogether 19 days, including 20°N to 40°N, 80° to 120°E altogether 309 occulted events, and daily variations of the F2 region critical frequency over the epicenter are researched using a back-propagation artificial neural network. The results indicated that the critical frequencies in F2 region start obviously to drop before 6 days of this earthquake, and they achieved the minimum value before 3 days. Then, these values raised again gradually.
出处 《全球定位系统》 2008年第5期1-5,共5页 Gnss World of China
关键词 电离层F层 地震电离层响应 GPS人工神经网络 Ionospheric F2 region ionospheric response of the earthquake GPS artificial neural network
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参考文献3

  • 1[3]Pulinets S.A.,Space technologies for short-term earthquake warning[J].Advances in Space Research,2006,37,643-652.
  • 2[4]Sorokin V.M.,V.M.Chmyrev,A.K.Yaschenko,Possible DC electric field in the ionosphere related to seismicity[J].Advances in Space Research 2006,37,666-670.
  • 3[7]Zhen Zeng,Xiong Hu,and Xunjie Zhang,Applying artificial neural network to the short-term prediction of electron density structure using GPS occultation data[J].GEOPHYSICAL RESEARCH LETTERS,2002,29,10.1029/2001GL013656.

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