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[1]YANG Liwei,LIN Guoliang,QIU Zhigang,et al.Study on Magnitude Estimation of Earthquake Early Warning Based on Various Characteristic Parameters and Artificial Neural Networks[J].Journal of Seismological Research,2018,41(02):302-310.

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Study on Magnitude Estimation of Earthquake Early Warning Based on Various Characteristic Parameters and Artificial Neural Networks

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 41 Number of periods: 2018 02 Page number: 302-310 Column: Public date: 2018-04-20

Title:: Study on Magnitude Estimation of Earthquake Early Warning Based on Various Characteristic Parameters and Artificial Neural Networks

Author(s):: YANG Liwei¹; LIN Guoliang¹; QIU Zhigang²; JIANG Wenxiang³; WANG Yushi⁴; (1.Yunnan Earthquake Agency,Kunming 650224,Yunnan,China )(2. Kunming Vniversity,Kunming 650214,Yunnan,China)(3. Railway Science and Technology Research and Development Centre,China Academy of Railway Sciences,Beijing 10081,China)(4. Insititute of Geophysics,China Earthquake Administration,Beijing 10081,China)

Keywords:: earthquake early warning; magnitude estimation; artificial neural networks; characteristic parameters; linear fitting

CLC:: P315.9

DOI:: -

Abstract:: The magnitude determination is the critical technology of earthquake early warning(EEW). With satisfying the timeliness requirements of the EEW system,this paper focuses on the research of magnitude real-time continuous determination considering adopting more characteristic parameters based on the current Artificial Neural Networks(ANN). We continuously calculate the deviation between estimation magnitude and the real magnitude by using partial strong motion records from Japan,and then suggest the revised model for estimation magnitude of EEW after linear fitting of those two magnitudes to further improve the accuracy of this fast magnitude estimation method.

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Last Update: 2018-04-23