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基于深度学习和台阵策略的震相自动拾取方法APP++及其在川滇地区的应用

Automatic Seismic Phase Picking Method APP++ based on Deep Learning and Array Strategy and Its Application in Sichuan-Yunnan Region

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【作者】 蒋一然宁杰远李春来

【Author】 JIANG Yiran;NING Jieyuan;LI Chunlai;School of Earth and Space Sciences,Peking University;Hebei Hongshan Geophysical National Observation and Research Station;Institute of Geophysics,China Earthquake Administration;

【通讯作者】 宁杰远;

【机构】 北京大学地球与空间科学学院河北红山地球物理国家野外科学观测研究站中国地震局地球物理研究所

【摘要】 在APP方法的基础上,使用U-net++模型,提出了进一步的改进算法APP++用于台阵下的震相到时自动拾取,测试结果显示,APP++模型在具有和APP相当的拾取能力的同时,还能够更好地避免误识别,且具有跨区域泛化能力;将该方法用于川滇地区的固定台网和流动台阵上,扫描了2014—2019年6年的连续数据,检测到了73 291条地震,发现很好地符合G-R关系,完备震级在1/5~2级之间;地震的空间分布和该区域的断层有很好的一致性;由此计算得到的b值分布图也显示出和当地断层形态、应力状况很好的一致性,研究结果很好地展示了APP++方法的实用性。

【Abstract】 On the basis of APP method, a further improved algorithm, APP++, is proposed by using U-Net ++ model,which is used to automatically pick up seismic phase on time under the array. The test results show that APP++ model has the same picking ability as APP, but also can avoid misidentification better, and has the ability of cross-region generalization. The method was applied to the fixed seismic network and mobile seismic array in Sichuan-Yunnan region, and the continuous data from 2014 to 2019 were scanned. 73 291 earthquakes were detected, which fit the G-R relationship well, and the complete magnitude was in the range of 1/5~2。The spatial distribution of earthquakes is in good agreement with the faults in this region. The calculated B-value distribution map also shows good agreement with the local fault morphology and stress state. The result show the practicability of APP++ method very well.

【基金】 中国地震科学实验场项目“川滇交界东部地区断层精细结构”(2019CSES0111);国家重点研发计划专项课题(2018YFC1503400)
  • 【文献出处】 华北地震科学 ,North China Earthquake Sciences , 编辑部邮箱 ,2021年02期
  • 【分类号】P315.7
  • 【被引频次】3
  • 【下载频次】52
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