《Acta Oceanologica Sinica》

作品数:3813被引量:7267H指数:22
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《Acta Oceanologica Sinica》
主办单位:Chinese Society for Oceanography
最新期次:2024年12期更多>>
发文主题:SOUTH_CHINA_SEATHE_SOUTH_CHINA_SEASEAEAST_CHINA_SEAOCEAN更多>>
发文领域:天文地球生物学农业科学环境科学与工程更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>
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Pilot study to reconstruct life history of Diaphus thiollierei from the Arabian Sea by otolith microstructure and microchemistry
《Acta Oceanologica Sinica》2024年第12期75-84,共10页Lisheng Wu Wenxin Zhuang Qiaohong Liu Rui Wang Yuan Li Longshan Lin Shufang Liu Shaoxiong Ding 
The fund from the Laoshan Laboratory under contract No.LSK202203802;the National Programme on Global Change and Air-Sea Interaction under contract No.GASI-02-SCS-YD sum/spr/aut。
The lanternfishes are mesopelagic fish that are highly productive as common bycatch of deep-sea shrimp trawlers,but they are often neglected or discarded.Despite being one of the dominant lanternfish species in the Ar...
关键词:lanternfish Diaphus thiollierei sagittal otolith vertical migration population growth MICROCHEMISTRY 
Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific
《Acta Oceanologica Sinica》2024年第12期85-101,共17页Zhenxia Liu Pei Du Zengjie Wang Binru Zhao Wen Luo Zhaoyuan Yu Linwang Yuan 
The National Natural Science Foundation of China under contract Nos 42230406, 42130103 and 42376223。
Phytoplankton blooms are complex environmental phenomena driven by multiple factors. Understanding their relationships with meteorological factors and climate oscillations is essential for advancing data-driven and hy...
关键词:phytoplankton blooms multiple wavelet coherence meteorological factors climate oscillation signals large marine ecosystems 
Response of harmful dinoflagellate distribution in the China seas to global climate change
《Acta Oceanologica Sinica》2024年第12期102-112,共11页Changyou Wang Yuxing Tang Bernd Krock Yiwen Xu Zhuhua Luo Zhaohe Luo 
The National Key Research and Development Program of China under contract Nos 2019YFE0124700 and 2022YFC3106002。
By establishing a distribution and environmental factor database of 21 typical harmful dinoflagellates in global waters,the MaxEnt model was used to predict shifts in the habitat of harmful dinoflagellates in Chinese ...
关键词:harmful dinoflagellate climate change suitable habitat MAXENT species distribution shifts 
Impacts of data sources on the predictive performance of species distribution models:a case study for Scomber japonicus in the offshore waters southern Zhejiang,China
《Acta Oceanologica Sinica》2024年第12期113-122,共10页Wen Ma Ling Ding Xinghua Wu Chunxia Gao Jin Ma Jing Zhao 
The Research Project of China Yangtze River Three Gorges Group Limited under contract No.201903173;the Zhejiang Mariculture Research Institute of China under contract No.325000。
As our understanding of ecology deepens and modeling techniques advance,species distribution models have grown increasingly sophisticated,enhancing both their fitting and predictive capabilities.However,the dependabil...
关键词:species distribution model remote sensing data field survey data predictive performance offshore waters southern Zhejiang Scomber japonicus 
SAR-based oil spill detection and impact assessment on coastal and marine environments
《Acta Oceanologica Sinica》2024年第12期123-140,共18页Muhammad Ozair Muhammad Farooq Iqbal Irfan Mahmood Saima Naz 
The proposed study focuses on the reported oil spill detection and assessments of oil impacts on marine ecosystems.Five selected oil spills,including those in East China Sea,Balikpapan Bay,Red Sea,Mauritius coast,and ...
关键词:oil spill detection vegetation cover air quality assessment SENTINEL Synthetic Aperture Radar(SAR) 
Acta Oceanologica Sinica Subject Index to Vol.43(2024)
《Acta Oceanologica Sinica》2024年第12期I0001-I0009,共9页
Acta Oceanologica Sinica
《Acta Oceanologica Sinica》2024年第12期F0003-F0003,共1页
1 Copyright Information For Authors Submission of a manuscript implies:that the work described has not been published before(except in the form of an abstract or as part of a published lecture,review,or thesis);that i...
关键词:implies authorities BEFORE 
Intercomparison of conventional and new methods for estimating eddy kinetic energy
《Acta Oceanologica Sinica》2024年第12期1-12,共12页Wenyu Li Guidi Zhou Xuhua Cheng 
The National Natural Science Foundation of China under contract No.42276002;the Fund of State Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanography,Chinese Academy of Sciences under contract No.LTO2201;the Fund of Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,China under contract No.LOMF2201。
We introduce a new method, the piecewise Reynolds mean(PREM), for decomposing the flow velocity into the mean-flow and eddy-flow parts in the time domain for subsequent calculation of the mean flow kinetic energy(MKE)...
关键词:mesoscale eddy kinetic energy piecewise Reynolds mean 
A significant wave height prediction method with ocean characteristics fusion and spatiotemporal dynamic graph modeling
《Acta Oceanologica Sinica》2024年第12期13-33,共21页Xiao Yin Taoxing Wu Jie Yu Xiaoyu He Lingyu Xu 
The National Key R&D Program of China under contract No.2021YFC3101604。
Accurate significant wave height(SWH)prediction is essential for the development and utilization of wave energy.Deep learning methods such as recurrent and convolutional neural networks have achieved good results in S...
关键词:significant wave height forecasting dynamic seasonal variation dynamic graph neural networks 
A synthetic autonomous profiling float array in a Lagrangian particle tracking system
《Acta Oceanologica Sinica》2024年第12期34-46,共13页Tianyu Wang Zenghong Liu Yan Du 
The National Natural Science Foundation of China under contract Nos 42106022 and 42106024;the National Key Research and Development Program of China under contract No.2021YFC3101502;the Fund of Laoshan Laboratory under contract No.LSKJ202201500;the Fund of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)under contract No.SML2021SP102;the Fund of Chinese Academy of Sciences under contract Nos 133244KYSB20190031,183311KYSB20200015,and SCSIO202201。
Over the past two decades,numerous countries have actively participated in the International Argo Program,working toward the global“OneArgo”goal.China's Argo program has deployed over 500 autonomous profiling floats...
关键词:Lagrangian particles autonomous profiling float array trajectory simulation probability density functions 
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