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作 者:杨磊 杜泽东 刘骅标 胡兴尧 杜兴忠 YANG Lei;DU Zedong;LIU Huabiao;HU Xingyao;DU Xingzhong(Power China Guiyang Engineering Corporation Limited,16 Xingqian Road,Guiyang 550081,China;China Three Gorges Construction Engineering Corporation,288 East-Fucheng Road,Chengdu 610095,China)
机构地区:[1]中国电建集团贵阳勘测设计研究院有限公司,贵阳550081 [2]中国三峡建工(集团)有限公司,成都610095
出 处:《大地测量与地球动力学》2024年第10期1089-1094,共6页Journal of Geodesy and Geodynamics
基 金:中国三峡建工(集团)有限公司科研专项(JGAJ0423008、JGAJ0423009);国家重点研发计划(2022YFC3004402);中国电力建设股份有限公司科技项目(DJ-ZDXM-2020-55);中国电建集团贵阳勘测设计研究院有限公司科研项目(ZL2022-12)。
摘 要:基于金沙江下游水库台网观测资料,利用深度神经网络PhaseNet模型拾取震相到时,基于组触发和等时差八叉树搜索相结合的方法关联震相,采用NLLoc非线性定位方法对元宝山微震序列进行自动定位,快速构建高精度机器学习目录。结果发现,机器学习目录给出的地震数是人工目录的3.89倍,匹配率为94.76%;89.8%事件发震时刻偏差小于0.5 s,98.7%事件震中位置偏差小于3 km,90.9%事件震源深度偏差小于5 km,91.5%事件震级偏差小于0.2级。根据震源机制解和机器学习目录给出的地震分布特征,推测该地震序列的发震构造为峨边-金阳断裂的分支断层。本文地震目录构建方法可为金沙江下游水库区地震趋势判定、余震精定位、震源机制节面解确定、隐伏断层探测、发震构造分析、体波走时层析成像等研究提供数据支撑。Based on the observation data of the reservoir network in the lower reaches of the Jinsha River,we utilize the PhaseNet model,a deep neural network,to pick up seismic phase arrival times.By combining the methods of group triggering and isochronous octree searching,we associate seismic phases and use the NLLoc non-linear location method to automatically locate the microseismic sequence in Yuanbaoshan,thereby quickly constructing a high-precision machine learning catalog.The seismic numbers provided by the machine learning catalog are 3.89 times that of the manual catalog,with a matching rate of 94.76%.89.8% of the events have a time deviation of less than 0.5 seconds,98.7% of the events have an epicenter location deviation of less than 3km,90.9% of the events have a source depth deviation of less than 5km,and 91.5% of the events have a magnitude deviation of less than 0.2.Based on the focal mechanism solution and the seismic distribution characteristics provided by the machine learning catalog,we infer that the seismic events of this sequence are caused by the sub-branch fault of the Ebian-Jinyang fault.The earthquake catalog construction method of this study can provide rapid data support for determining earthquake trends in the reservoir area downstream of the Jinsha River,precise aftershock locating,determination of focal mechanism nodal planes,detection of hidden faults,seismic event structures,and body wave travel time tomography imaging.
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