首页|期刊导航|海洋湖沼学报(英文版)|Prediction of in situ seafloor sediment sound speed with machine learning

Prediction of in situ seafloor sediment sound speed with machine learningOA

Prediction of in situ seafloor sediment sound speed with machine learning

Mujun CHEN;Qingfeng HUA;Siqi WU;Xiaobo ZHANG;Linqing ZHANG;Xinfeng HU;Xiangmei MENG;Guangming KAN;Siyou TONG;Jingqiang WANG;Guanbao LI;Baohua LIU

College of Marine Geoscience,Ocean University of China,Qingdao 266100,China||Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China||Qingdao Innovation and Development Base of Harbin Engineering University,Qingdao 266000,ChinaShandong University of Science and Technology,Qingdao 266590,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China||Qingdao Innovation and Development Base of Harbin Engineering University,Qingdao 266000,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China||Qingdao Innovation and Development Base of Harbin Engineering University,Qingdao 266000,ChinaCollege of Marine Geoscience,Ocean University of China,Qingdao 266100,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaKey Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,ChinaLaboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China

seafloor sedimentsound speedin situmachine learningEast China Seaprediction model

seafloor sedimentsound speedin situmachine learningEast China Seaprediction model

《海洋湖沼学报(英文版)》 2026 (3)

963-977,15

Supported by the National Natural Science Foundation of China(Nos.u2006202,42376076,42074140,42106072)and the Shandong Province Higher Education Youth Innovation and Technology Support Program(No.2024KJG033)Data acquisition and sample collections were supported by the National Natural Science Foundation of China Open Research Cruise (Cruise No.NORC2021-02+NORC2021-301), funded by the Shiptime Sharing Project of the National Natural Science Foundation of China.

10.1007/s00343-025-5119-8

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