Quality influencing factors of dispersion curves from short period dense arrays based on a convolutional neural network across the north section of the Xiaojiang fault areaOA
Quality influencing factors of dispersion curves from short period dense arrays based on a convolutional neural network across the north section of the Xiaojiang fault area
Si Chen;Rui Gao;Zhanwu Lu;Yao Liang;Wei Cai;Lifu Cao;Zilong Chen;Guangwen Wang
Institute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources(TPESER),Beijing 100101,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,China||School of Earth Sciences and Engineering,Sun Yat-Sen University,Guangzhou 510275,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,ChinaInstitute of Geology,Chinese Academy of Geological Sciences,Beijing 100037,China||SinoProbe Laboratory of Ministry of Natural Resources,Beijing 100037,China
convolutional neural networkambient noise tomographydispersion curve
convolutional neural networkambient noise tomographydispersion curve
《地震学报（英文版）》 2023 (3)
200-211,12
This study was financially supported by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(No.2019QZKK0701),the Fund from the Key Laboratory of Deep-Earth Dynamics of the Ministry of Natural Resources(No.J1901-38),the National Natural Science Foundation of China(Nos.42174121 and 91962109),and the China Geological Survey Project(No.DD20190001).
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