Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China
Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China
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induced seismicity/machine learning/Weiyuan Shale Gas BlockKey words
induced seismicity/machine learning/Weiyuan Shale Gas Block引用本文复制引用
PengCheng Zhou,William L. Ellsworth,HongFeng Yang,Yen Joe Tan,Gregory C. Beroza,MinHan Sheng,RiSheng Chu..Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China[J].地球与行星物理(英文),2021,5(6):501-519,19.基金项目
The authors are grateful to Editor Xiaowei Chen,reviewer Jake Walter,and another anonymous reviewer for their helpful comments,which greatly contributed to improving the article.This study was supported by the Hong Kong Research Grants Council(No.14303721 and N_CUHK430/16),Faculty of Science,CUHK,National Natural Science Foundation of China(Grants No.41804015,41661164035),and National Key R&D Program of China(2018YFC1504501-02).This work was supported also by the Stanford Center for Induced and Triggered Seismicity.PhaseNet is available at https://github.com/wayneweiqiang/PhaseNet.REAL and VELEST packages can be accessed via https://github.com/Dalmzhang/REAL.The team lead by Risheng Chu(chur@whigg.ac.cn)collected and maintained the whole dataset(Zeng Q et al.,2020).The catalogs are available upon request. (No.14303721 and N_CUHK430/16)