参考文献/References:
[1]徐伟进,高孟潭.中国大陆及周缘地震目录完整性统计分析[J].地球物理学报,2014,57(9):2802-2812.
[2] Stevenson P R. Microearthquakes at Flathead Lake,Montana:A study using automatic earthquake processing[J]. Bulletin of the Seismological Society of America,1976,66(1):61-80.
[3] Gibbsons S J,Ringdal F. The detection of low magnitude seis‐mic events using array-based waveform correlation[J]. Geo‐physical Journal International,2006,165(1):149-166.
[4] Zhang M,Wen L X. An effective method for small event de‐tection:Match and locate(M&L)[J]. Geophysical Journal In‐ternational,2015,200(3):1523-1537.
[5] Huang Y,Zhang S,Lv Y,et al. Earthquake detection in the Ji‐angsu region,China using graphics-processing-unit-based Match & Locate and rapid earthquake association and loca‐tion[J]. Earthquake Science,2020,33(1):23-33.
[6]张雅楠,李红谊,张盛中,等.上海及邻区微震检测与定位[J].地球物理学报,2023,66(3):1113-1124.
[7]汤兰荣,曾新福,许志山,等.寻乌及邻区遗漏地震检测及目录完整性分析[J].华南地震,2024,44(2):1-7.
[8] Zhu W,Beroza G C. PhaseNet:A deep-neural-network-based seismic arrival-time picking method[J]. Geophysical Journal International,2019,216(1):261-273.
[9] Mousavi S M,Ellsworth W L,Zhu W,et al. Earthquake trans‐former—an attentive deep-learning model for simultaneous earthquake detection and phase picking[J]. Nature Communi‐cations,2020,11(1):3952.
[10] Münchmeyer J,Woollam J,Rietbrock A,et al. Which picker fits my data? A quantitative evaluation of deep learning based seismic pickers[J]. Journal of Geophysical Research:Solid Earth,2022,127(1):e2021JB023499.
[11]苏金波,刘敏,张云鹏,等.基于深度学习构建2021年5月21日云南漾濞MS6.4地震序列高分辨率地震目录[J].地球物理学报,2021,64(8):2647-2656.
[12]赵明,唐淋,陈石,等.基于深度学习到时拾取自动构建长宁地震前震目录[J].地球物理学报,2021,64(1):54-66.
[13]郭慧丽,常利军,鲁来玉,等.基于深度学习震相拾取和密集台阵数据构建青海玛多MS7.4地震震源区高分辨率地震目录[J].地球物理学报,2022,65(5):1628-1643.
[14]孙海霞,赵桂儒,林向东,等.基于深度学习的PhaseNet方法在北京地区历史地震中的初步应用[J].华南地震, 2024,44(S1):127-128.
[15]戴宗辉,曲均浩,徐宁,等.2023年微山震群震源区三维速度结构与发震构造[J].地震地质,2025,47(6):1649-1666.
[16]戴宗辉,郑建常,周连庆,等.基于深度学习的山东平原MS5.5地震余震检测及发震构造研究[J].地球物理学报, 2025,68(3):925-937.
[17]文玺翔,沈旭章,周启明.基于机器学习和短周期密集台阵资料研究北流地震余震特[J].地球物理学报,2022,65 (9):3297-3308.
[18]支龙祥,赵旭.基于深度学习单台定位2025年西藏定日M6.8地震早期余震[J].地震地质,2025,47(3):820-834.
[19] Zhang M,Liu M,Feng T,et al. LOC-FLOW:An end-to-end machine-learning-based high-precision earthquake location workflow[J]. Seismological Research Letters,2022,93(5):2426-2438.
[20] Zhang M,Ellsworth W L,Beroza G C. Rapid earthquake as‐sociation and location[J]. Seismological Research Letters, 2019,90(6):2276-2284.
[21] Klein F W. User's guide to HYPOINVERSE-2000,a for‐tran program to solve for earthquake locations and magni‐tudes:USGS Open-File Report,2002-171[R]. Reston,Vir‐ginia:USGS,2002.
[22] Waldhauser F,Ellsworth W L. A double-difference earth‐quake location algorithm:Method and application to the northern Hayward fault,California[J]. Bulletin of the Seis‐mological Society of America,2000,90(6):1353-1368.
[23] Hu J,Sun W,Liu C,et al. Seismological reference earth model in South China(SREM-SC):Crust and uppermost mantle[J]. Frontiers in Earth Science,2023(10):1080307.
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