| 基于全球分布的地震观测数据估计0S0模态的特征频率及品质因子 |
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| 引用本文： | 周丰森,王迪晋,旦增.基于全球分布的地震观测数据估计0S0模态的特征频率及品质因子[J].大地测量与地球动力学,2019,39(10):1013-1016. |
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| 作者姓名： | 周丰森 王迪晋 旦增 |
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| 作者单位： | 西藏自治区地震局,拉萨市娘热路22号,850000;中国地震局地震研究所,武汉市洪山侧路40号,430071 |
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| 基金项目： | 中国地震局地震科技星火计划;国家自然科学基金 |
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| 摘 要： | 选取2011-03-11日本MW9.3地震后全球地震台站记录的约220 h波形数据，基于一定的判断准则，筛选出质量较高的448个垂向观测数据，采用频域AR方法对0S0模态的特征频率和品质因子进行估值，并以信噪比为权重进行加权平均，得到特征频率f=0.814 658 4±5.3×10-7，品质因子Q=5 586±12。该结果与已有研究成果相比精度更高，有助于约束现有地球介质密度和衰减模型，使其更接近真实地球。
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| 关 键 词： | 地震本征模态 频率估计 品质因子 频域AR方法 |
Estimation on Eigenfrequencies and Quality Factors for the Normal Mode 0S0 Based on the Global Seismic Data |
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| ZHOU Fengsen,WANG Dijin,DAN Zeng.Estimation on Eigenfrequencies and Quality Factors for the Normal Mode 0S0 Based on the Global Seismic Data[J].Journal of Geodesy and Geodynamics,2019,39(10):1013-1016. |
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| Authors: | ZHOU Fengsen WANG Dijin DAN Zeng |
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| Abstract: | We use 220 hours of seismic data recorded by globally-distributed seismic station after the MW9.3 earthquake at Japan on 2011-03-11.This paper selects 448 sets of vertical components of seismic waves with higher-quality, based on a certain criterion, and adopts the frequency-domain AR method to estimate the frequency and quality factor for the normal mode 0S0. After determining the weighted averages with signal-to-noise ratio (SNR) as the weights, the estimated results are f=0.814 658 4±5.3×10-7 and Q=5 586±12. The two estimations have higher precision than previous results, which can improve the existing earth models to bring them closer to the real earth. |
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| Keywords: | seismic normal mode frequency estimation quality factor frequency-domain AR method |
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