[1] Huang H, Meng L S, Bürgmann R, et al. Spatio-Temporal Foreshock Evolution of the 2019 M 6.4 and M 7.1 Ridgecrest, California Earthquakes[J]. Earth and Planetary Science Letters, 2020, 551: 116582 doi:  10.1016/j.epsl.2020.116582
[2] Grigoli F, Scarabello L, Böse M, et al. Pick- and Waveform-Based Techniques for Real-Time Detection of Induced Seismicity[J]. Geophysical Journal International, 2018, 213(2): 868-884 doi:  10.1093/gji/ggy019
[3] Ross Z E, Trugman D T, Hauksson E, et al. Searching for Hidden Earthquakes in Southern California[J]. Science, 2019, 364(6442): 767-771 doi:  10.1126/science.aaw6888
[4] Zhang M, Ellsworth W L, Beroza G C. Rapid Earthquake Association and Location[J]. Seismolo-gical Research Letters, 2019, 90(6): 2276-2284 doi:  10.1785/0220190052
[5] Allen R V. Automatic Earthquake Recognition and Timing from Single Traces[J]. Bulletin of the Seismological Society of America, 1978, 68(5): 1521-1532 doi:  10.1785/BSSA0680051521
[6] Gibbons S J, Ringdal F. The Detection of Low Magnitude Seismic Events Using Array-Based Waveform Correlation[J]. Geophysical Journal International, 2006, 165(1): 149-166 doi:  10.1111/j.1365-246X.2006.02865.x
[7] Kong Q K, Trugman D T, Ross Z E, et al. Machine Learning in Seismology: Turning Data into Insights[J]. Seismological Research Letters, 2019, 90(1): 3-14 doi:  10.1785/0220180259
[8] Bergen K J, Johnson P A, de Hoop M V, et al. Machine Learning for Data-Driven Discovery in Solid Earth Geoscience[J]. Science, 2019, 363(6433): eaau0323 doi:  10.1126/science.aau0323
[9] 周聪, 曾祥芝, 袁静, 等. 利用深度自编码算法的地震脉冲信号检测方法[J]. 武汉大学学报·信息科学版, 2020, 45(7): 980-987 doi:  10.13203/j.whugis20180348

Zhou Cong, Zeng Xiangzhi, Yuan Jing, et al. Earthquake Pulselike Records Detection Based on Deep Autoencoder[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 980-987 doi:  10.13203/j.whugis20180348
[10] Mousavi S M, Sheng Y X, Zhu W Q, et al. Stanford Earthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI[J]. IEEE Access, 2019, 7: 179464-179476 doi:  10.1109/ACCESS.2019.2947848
[11] Zhao M, Xiao Z, Chen S. DiTing: A Large-Scale Chinese Seismic Benchmark Dataset for Artificial Intelligence in Seismology[J]. Earthquake Science. 2022, 35: 1-11 doi:  10.1016/j.eqs.2022.01.020
[12] Ross Z E, Meier M A, Hauksson E, et al. Genera-lized Seismic Phase Detection with Deep Learning[J]. Bulletin of the Seismological Society of America, 2018, 108(5A): 2894-2901 doi:  10.1785/0120180080
[13] Zhu W Q, Beroza G C. PhaseNet: A Deep-Neural-Network-Based Seismic Arrival-Time Picking Method[J]. Geophysical Journal International, 2018, 216(1): 261-273
[14] Mousavi S M, Ellsworth W L, Zhu W Q, et al. Earthquake Transformer — An Attentive Deep-Learning Model for Simultaneous Earthquake Detection and Phase Picking[J]. Nature Communications, 2020, 11(1): 3952 doi:  10.1038/s41467-020-17591-w
[15] 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): e23499
[16] Jiang C, Fang L H, Fan L P, et al. Comparison of the Earthquake Detection Effects of PhaseNet and EQTransformer Considering the Yangbi and Maduo Earthquakes[J]. Earthquake Science, 2021, 34: 1-11
[17] Kriegerowski M, Petersen G M, Vasyura-Bathke H, et al. A Deep Convolutional Neural Network for Localization of Clustered Earthquakes Based on Multistation Full Waveforms[J]. Seismological Research Letters, 2019, 90(2A): 510-516 doi:  10.1785/0220180320
[18] van den Ende M, Ampuero J. Automated Seismic Source Characterisation Using Deep Graph Neural Networks[J]. Geophysical Research Letters, 2020, 47(17): e88690
[19] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[M]//Medical Image Computing and Computer-Assisted Intervention. Cham: Springer, 2015: 234-241
[20] Goldberg D E, Melgar D, Sahakian V J, et al. Complex Rupture of an Immature Fault Zone: A Simultaneous Kinematic Model of the 2019 Ridgecrest, CA Earthquakes[J]. Geophysical Research Letters, 2020, 47(3): e86382
[21] Feng Q C, Lees J M. Microseismicity, Stress, and Fracture in the Coso Geothermal Field, California[J]. Tectonophysics, 1998, 289(1/2/3): 221-238
[22] 雷兴林, 苏金蓉, 王志伟. 四川盆地南部持续增长的地震活动及其与工业注水活动的关联[J]. 中国科学: 地球科学, 2020, 50(11): 1505-1532 https://www.cnki.com.cn/Article/CJFDTOTAL-JDXK202011001.htm

Lei Xinglin, Su Jinrong, Wang Zhiwei. Growing Seismicity in the Sichuan Basin and Its Association with Industrial Activities[J]. Scientia Sinica (Terrae), 2020, 50(11): 1505-1532 https://www.cnki.com.cn/Article/CJFDTOTAL-JDXK202011001.htm
[23] 易桂喜, 龙锋, 梁明剑, 等. 四川盆地荣县-威远-资中地区发震构造几何结构与构造变形特征: 基于震源机制解的认识和启示[J]. 地球物理学报, 2020, 63(9): 3275-3291 https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX202009006.htm

Yi Guixi, Long Feng, Liang Mingjian, et al. Geometry and Tectonic Deformation of Seismogenic Structures in the Rongxian-Weiyuan-Zizhong Region, Sichuan Basin: Insights from Focal Mechanism Solutions[J]. Chinese Journal of Geophysics, 2020, 63(9): 3275-3291 https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX202009006.htm