日本地球惑星科学連合2024年大会

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セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS10] 強震動・地震災害

2024年5月28日(火) 09:00 〜 10:30 302 (幕張メッセ国際会議場)

コンビーナ:友澤 裕介(鹿島建設)、林田 拓己(国立研究開発法人建築研究所 国際地震工学センター)、座長:纐纈 一起(慶應義塾大学SFC研究所)、地元 孝輔(香川大学)

09:30 〜 09:45

[SSS10-13] High-Probability Broadband Waveform Synthesis of the Lushan Earthquake Considering Source Uncertainty and Small Earthquake Diversity

*Zongchao Li1、Zhiwei Ji2Hiroe Miyake3、Jize Sun4、Mengtan Gao1、Yi Ding5、Quanbo Luo6 (1.Institute of Geophysics, China Earthquake Administration、2.Institute of Earthquake Forecasting, China Earthquake Administration、3.Earthquake Research Institute, The University of Tokyo、4.Shenzhen Academy of Disaster Prevention and Reduction、5.Beijing University of Technology、6.Southwest University of Science and Technology)

キーワード:Green’s function database, source parameter uncertainty, reasonable range, high probability ground motion, broadband frequency

With the continuous improvement of comprehensive earthquake monitoring capabilities in the past few decades, China has accumulated much seismic data, especially for earthquakes below Ms 5.0. These small earthquake records should have great value in the application of strong motion seismology, such as synthesizing large earthquakes. In this study, we propose an approach to synthesizing high-probability ground motions of broadband rupture scenarios or historical earthquakes by using data from diverse small earthquakes. To obtain more refined broadband ground motion, we consider multiple uncertainty characteristics of the source parameters and simplify the combination scenarios of source models through sensitivity analysis schemes. We also verified the reliability and rationality of the seismic motion estimation results from indirect perspectives. This study verified that earthquakes of Ms 4.0-Ms 4.9 with arbitrary focal mechanisms can be used as Green’s function to synthesize the strong motion of large earthquakes at the same station with the same propagation path and site environment. We found that the PGA and PGV statistical results of all earthquake scenarios at each station are preliminarily in line with the Gaussian distribution or Chi-Square (χ2) distribution. It can also offer ground motion inputs more representative of the local area, which can be valuable for designing seismic-resistant buildings.