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The waters surrounding South Georgia Island are one of the highest primary productivity regions in the Southern Ocean with enormous carbon sequestration potential. However, the strength of the biological pump efficiency in this area is still uncertain due to the lack of continuous upper ocean observation data.In this study, the hydrological and biogeochemical parameters obtained from the Biogeochemical Argo (BGC-Argo) floats deployed in the South Georgia Island vicinity during the period of 2017-2020 were utilized to investigate the impacts of physical processes on biogeochemical processes and to estimate the carbon export flux in the Antarctic summer. Results indicated that both upstream (northeast of the Antarctic Peninsula) and downstream (Georgia Basin) regions of South Georgia Island exhibited strong seasonal characteristics in Chl-a, with the latter area having a 4-month sustained period of phytoplankton bloom, suggesting a stable and continuous supply of iron. Using the temporal variability of the seasonal particulate organic carbon (POC) export, the summer POC export fluxes of the upstream and downstream regions were estimated to be 7.12±3.90 mmol·m-2·d-1 and 45.29±5.40 mmol·m-2·d-1, respectively, indicating that the difference might be due to enhanced downward export of organic carbon after the deepening of the mixed layer. The study found that the region maintained a high biological pump efficiency, contrary to the previous conclusion that the Georgia Basin had “high productivity low export efficiency”, which might have been caused by the limited “real-time” representation of the entire seasonal characteristics during ship-based surveys. BGC-Argo provides high spatiotemporal resolution of multi-parameter observation data, and this study demonstrates that it can more accurately quantify and evaluate marine biogeochemical processes and carbon sequestration potential.
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Near-inertial waves (NIWs) play an important role in the response of ocean to typhoon. Their frequency varies with the depth and is the main factor in determining the propagation rate of near-inertial energy to the ocean interior. Based on the observation data from mooring, the factors affecting the blue-shift frequency of NIWs excited by typhoon were investigated in northwestern South China Sea. By analyzing the vorticity effect and Doppler effect caused by background currents, this study suggests that the Doppler effect of background currents was the main factor in the blue-shift frequency of NIWs. As depth increased, inertial wave frequencies increased. Quantitative calculations further demonstrated that within the upper 200 meters, the Doppler effect of the background currents was negative, approaching zero in depth around 200 meters. However, in the depth range of 230 to 400 meters, the Doppler effect became positive. This depth range exhibited the maximum strength of the background currents, with their direction aligned with the propagation direction of inertial waves. Consequently, the positive Doppler shift induced by the background currents was most pronounced. The results of this study are important for improving the understanding of the ocean response to typhoons, especially the propagation of near-inertial waves in areas with complex background current structure (e.g., the western boundary current region).
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Based on the mesoscale atmospheric model WRF and the regional ocean model ROMS, a two-way coupled WRF-ROMS air-sea model was constructed to simulate the super typhoon Mangkhut in 2018. The results showed that the simulation results of the coupled air-sea model were better than those of the only atmospheric or ocean model, and the error of the typhoon track obtained from the coupled model was within 60 km, which was in good agreement with the best track. Compared with the observation results, the simulation results of wind speed and sea level pressure in the coupled model were better than others model. Based on the simulation results of the coupled air-sea model, the spatial and temporal distribution of the wind field, pressure field, sea surface flow field, and storm surge under the super typhoon Mangkhut were further analyzed. The results showed that: (1) In terms of spatial distribution, after the typhoon entered the South China Sea, the radius of the seven-level wind circle was larger behind the right side of the typhoon; the cyclonic flow field showed a significant Ekman effect with the typhoon wind field, and the flow direction was 45° from the wind direction. The wind field, pressure field, wind-generated flow field and water gain distribution all had obvious asymmetry, and the typhoon intensity, flow velocity and water gain were greater on the right side of the typhoon path than on the left side. (2) In terms of time distribution, the distribution of the wind field and the pressure field were similar and synchronized with the typhoon center, while the wind-driven flow field and storm surge were three hours behind the typhoon track.
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The seasonal blooming characteristics of phytoplankton and POC export flux in the waters around South Georgia Island: Based on BGC-Argo and satellite remote sensing observationsZHAO Yueran, FAN Gaojing, WU Jiaqi, SUN Weiping, PAN Jianming, HAN Zhengbing2023, 41(4):1-11. DOI:10.3969/j.issn.1001-909X.2023.04.001
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Study on frequency shift of typhoon-excited near-inertial waves in northwestern South China SeaFU Dianfu, XIE Botao, HUANG Bigui, JIN Weifang, MOU Yong, LIN Feilong2023, 41(4):12-20. DOI:10.3969/j.issn.1001-909X.2023.04.002
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Numerical investigation of the super typhoon Mangkhut based on the coupled air-sea modelLÜ Zhao, WU Zhiyuan, JIANG Changbo, ZHANG Haojian, GAO Kai, YAN Ren2023, 41(4):21-31. DOI:10.3969/j.issn.1001-909X.2023.04.003
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Numerical simulation study on influences of onshore wind on overtopping characteristics of solitary wave under coastal seawallZHANG Liangbin, QU Ke, HUANG Jingxuan, WANG Xu, GUO Lei2023, 41(4):32-45. DOI:10.3969-j.issn.1001-909X.2023.04.004
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Deep-sea rare earth resource potential in the Eastern Pacific Clarion-Clipperton Fracture Zone: Constraint from sediment geochemistryWU Xinran, DONG Yanhui, LI Zhenggang, WANG Hao, ZHANG Weiyan, LI Huaiming, LI Xiaohu, CHU Fengyou2023, 41(4):46-56. DOI:10.3969/j.issn.1001-909X.2023.04.005
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Simulation study on oblique in situ acoustic longitudinal wave measurement of seafloor inhomogeneous sedimentary layerWANG Ying, TAO Chunhui, ZHANG Guoyin, ZHOU Jianping, SHEN Honglei2023, 41(4):57-69. DOI:10.3969/j.issn.1001-909X.2023.04.006
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Vulnerability and driving factors of coastal erosion: A case study of the central coast of JiangsuZHANG Zhi, LIU Xianguang, ZHOU Kai, LIN Weibo, MAO Shifeng, LI Lanman2023, 41(4):70-83. DOI:10.3969/j.issn.1001-909X.2023.04.007
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Research of carbon storage assessment of island vegetation based on UAV multispectral remote sensing:A case study of Dazhuzhi Island in DongtouXIE Jiaqi, ZHANG Zhao, ZHOU Wen, WANG Jinwang, CHEN Yahui2023, 41(4):84-93. DOI:10.3969/j.issn.1001-909X.2023.04.008
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Effects of different vegetation types on the source and storage of organic carbon in muddy tidal flats: Taking Maoyan Island as an exampleLIU Yuwei, YU Peisong, ZHENG Minhui, ZHAO Zhengjia, ZHANG Cai, HAN Chenhua2023, 41(4):94-101. DOI:10.3969/j.issn.1001-909X.2023.04.009
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Macrobenthos community and living organic carbon pools on muddy tidal flat: Implications from Aiwan Bay of Wenling in summerTIAN Sujie, TANG Yanbin, YU Peisong, LIU Chenggang, LIU Qinghe, ZHANG Rongliang, SHOU Lu, ZENG Jiangning, LIAO Yibo2023, 41(4):102-112. DOI:10.3969/j.issn.1001-909X.2023.04.010
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2022,Vol.40 | No.4 | No.3 | No.2 | No.1 |
2021,Vol.39 | No.4 | No.3 | No.2 | No.1 |
2020,Vol.38 | No.4 | No.3 | No.2 | No.1 |
2019,Vol.37 | No.4 | No.3 | No.2 | No.1 |
2018,Vol.36 | No.4 | No.3 | No.2 | No.1 |
2017,Vol.35 | No.4 | No.3 | No.2 | No.1 |
2016,Vol.34 | No.4 | No.3 | No.2 | No.1 |
2015,Vol.33 | No.4 | No.3 | No.2 | No.1 |
2014,Vol.32 | No.4 | No.3 | No.2 | No.1 |
2013,Vol.31 | No.4 | No.3 | No.2 | No.1 |
2012,Vol.30 | No.4 | No.3 | No.2 |
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MENG Yu, CHEN ShuanglingJournal of Marine Sciences. 2023 Vol. 41 (3): 1-13 DOI: 10.3969/j.issn.1001-909X.2023.03.001
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YU Jie, ZHANG Han, CHEN DakeJournal of Marine Sciences. 2023 Vol. 41 (2): 14-27 DOI: 10.3969/j.issn.1001-909X.2023.02.002
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GE Yuyu, LIAO GuanghongJournal of Marine Sciences. 2023 Vol. 41 (2): 45-60 DOI: 10.3969/j.issn.1001-909X.2023.02.004
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CHEN Chao, BAO Min, YE Qin, YAN Yuhan, CAO Zhenyi, ZHANG QianjiangJournal of Marine Sciences. 2023 Vol. 41 (3): 34-42 DOI: 10.3969/j.issn.1001-909X.2023.03.004
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GONG Fang, ZHU Bozhong, LI Teng, WANG Yuxin, LI Hongzhe, HE Xianqiang, ZHANG QingJournal of Marine Sciences. 2023 Vol. 41 (3): 101-114 DOI: 10.3969/j.issn.1001-909X.2023.03.010
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ZHOU Xuehang, ZHANG Honghai, MA Xin, CHEN ZhaohuiJournal of Marine Sciences. 2023 Vol. 41 (3): 14-21 DOI: 10.3969/j.issn.1001-909X.2023.03.002
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CUI Minghui, TU Junbiao, MENG Lingpeng, GUO Xingjie, SU Ni, FAN DaiduJournal of Marine Sciences. 2023 Vol. 41 (2): 28-44 DOI: 10.3969/j.issn.1001-909X.2023.02.003
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XU Yixin, SHEN Zhongyan, YANG Chunguo, ZHANG TaoJournal of Marine Sciences. 2023 Vol. 41 (2): 1-13 DOI: 10.3969/j.issn.1001-909X.2023.02.001
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SI Xiangcheng, CHEN Xiao, CHEN Fajin, JIN Guangzhe, SHI Ziyang, XIE Xufeng, CAI HuaJournal of Marine Sciences. 2023 Vol. 41 (2): 94-103 DOI: 10.3969/j.issn.1001-909X.2023.02.008
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LIU Jia, ZHENG Shaojun, YAN Li, CHEN Hangbiao, LIU TingzhenJournal of Marine Sciences. 2023 Vol. 41 (3): 22-33 DOI: 10.3969/j.issn.1001-909X.2023.03.003
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ZHANG Wanying, LU Shasha, XIA Xiaoming, LIU JinguiJournal of Marine Sciences. 2023 Vol. 41 (2): 61-70 DOI: 10.3969/j.issn.1001-909X.2023.02.005
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NING Zihao, JIANG Changbo, LONG Yuannan, WU Zhiyuan, MA YuanJournal of Marine Sciences. 2023 Vol. 41 (2): 71-82 DOI: 10.3969/j.issn.1001-909X.2023.02.006
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ZHU Feiyang, LI Huaiming, YAO Pengfei, WANG Xiao, ZHU Jihao, LÜ Shihui, LUO Yi, ZHOU Li’na, LIU Yuwei, TANG YutongJournal of Marine Sciences. 2023 Vol. 41 (2): 83-93 DOI: 10.3969/j.issn.1001-909X.2023.02.007
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WANG Yueyun, YAN Runxuan, WANG ChunshengJournal of Marine Sciences. 2023 Vol. 41 (2): 104-113 DOI: 10.3969/j.issn.1001-909X.2023.02.009
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ZHOU Yiming, YANG Lihua, HUAN Caiyun, LIU RongJournal of Marine Sciences. 2023 Vol. 41 (3): 43-55 DOI: 10.3969/j.issn.1001-909X.2023.03.005
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DENG Tao, XU Dong, XIAO Tinglu, YE Liming, ZHANG WeiyanJournal of Marine Sciences. 2023 Vol. 41 (3): 56-72 DOI: 10.3969/j.issn.1001-909X.2023.03.006
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ZHAO Yueran, FAN Gaojing, WU Jiaqi, SUN Weiping, PAN Jianming, HAN ZhengbingJournal of Marine Sciences. 2023 Vol. 41 (4): 1-11 DOI: 10.3969/j.issn.1001-909X.2023.04.001
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LÜ Zhao, WU Zhiyuan, JIANG Changbo, ZHANG Haojian, GAO Kai, YAN RenJournal of Marine Sciences. 2023 Vol. 41 (4): 21-31 DOI: 10.3969/j.issn.1001-909X.2023.04.003
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MA Letian, GUO Xiaowei, QI Suiping, FENG Xuwen, HUA WeidongJournal of Marine Sciences. 2023 Vol. 41 (2): 123-130 DOI: 10.3969/j.issn.1001-909X.2023.02.011
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ZHANG Chuan, YU Tao, YU Xiaoyan, ZHU Yong, WANG Lifang, ZHANG XiaohuiJournal of Marine Sciences. 2023 Vol. 41 (3): 92-100 DOI: 10.3969/j.issn.1001-909X.2023.03.009
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SONG Wanjiao, ZHANG Peng, SUN Ling, TANG Shihao, ZHOU Fangcheng,Journal of Marine Sciences. 2022 Vol. 40 (2): 10-18 DOI: 10.3969-j.issn.1001-909X.2022.02.002
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ZENG Dingyong, XUAN Jiliang, HUANG Daji, et alJournal of Marine Sciences. 2022 Vol. 40 (1): 12-20 DOI: 10.3969/j.issn.1001-909X.2022.01.002
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XIA Hantao, LONG Yuannan, LIU Cheng, LIU XiaojianJournal of Marine Sciences. 2020 Vol. 38 (2): 26-37 DOI: 10.3969/j.issn.1001-909X.2020.02.004
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SUN Jianxiong, ZHANG Wenxiang, SHI BenweiJournal of Marine Sciences. 2022 Vol. 40 (1): 21-32 DOI: 10.3969/j.issn.1001-909X.2022.01.003
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Journal of Marine Sciences. 2021 Vol. 39 (4): 101-108 DOI: 10.3969/j.issn.1001-909X.2021.04.010
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ZHOU Feng, QIAN Zhouyi, LIU Anqi, MA Xiao, NI Xiaobo, ZENG Dingyong,Journal of Marine Sciences. 2021 Vol. 39 (4): 17-38 DOI: 10.3969/j.issn.1001-909X.2021.04.003
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CHEN Jianfang, ZHAI Weidong, WANG Bin, LI Dewang, XIONG Tianqi, JIN Haiyan, LI Hongliang, LIU Qinyu, MIAO Yanyi,Journal of Marine Sciences. 2021 Vol. 39 (4): 11-21 DOI: 10.3969/j.issn.1001-909X.2021.04.002
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CAO Wenting, ZHANG Huaguo, LI RuiJournal of Marine Sciences. 2021 Vol. 39 (4): 123-131 DOI: 10.3969/j.issn.1001-909X.2021.04.012
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CAI Jiaxin, PAN Guofu, CHEN PeixiongJournal of Marine Sciences. 2021 Vol. 39 (3): 63-71 DOI: 10.3969/j.issn.1001-909X.2021.03.007
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LIU Songnan, XU DongfengJournal of Marine Sciences. 2020 Vol. 38 (2): 1-8 DOI: 10.3969/j.issn.1001-909X.2020.02.001
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ZENG Yulan, LU Douding, WANG Pengbin, GUO Ruoyu, GUAN Weibing, DAI XinfengJournal of Marine Sciences. 2020 Vol. 38 (2): 38-48 DOI: 10.3969/j.issn.1001-909X.2020.02.005
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ZHANG Jiaying, ZHOU Feng, TIAN Di, HUANG Ting,Journal of Marine Sciences. 2021 Vol. 39 (3): 1-11 DOI: 10.3969/j.issn.1001-909X.2021.03.001
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LIU Liping, CHU Fengyou, GUO Lei, LI XiaohuJournal of Marine Sciences. 2023 Vol. 41 (1): 26-44 DOI: 10.3969-j.issn.1001-909X.2023.01.003
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JIANG Jie, ZHANG Tao, CAI Xiaoxian, WU Zhaocai,Journal of Marine Sciences. 2022 Vol. 40 (2): 42-52 DOI: 10.3969-j.issn.1001-909X.2022.02.005
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GAO Shun, ZHANG Yingying, YUAN Da, et alJournal of Marine Sciences. 2022 Vol. 40 (1): 81-88 DOI: 10.3969/j.issn.1001-909X.2022.01.009
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YANG Xiaoxiao, YAO Yu, HE Tiancheng, JIA MeijunJournal of Marine Sciences. 2020 Vol. 38 (2): 9-15 DOI: 10.3969/j.issn.1001-909X.2020.02.002
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JIN Quan, ZHANG Chuqing, WU Jianbo, ZHANG Xiao, YE Ying, HUANG Yuanfeng, TAO ChunhuiJournal of Marine Sciences. 2021 Vol. 39 (2): 52-59 DOI: 10.3969/j.issn.1001-909X.2021.02.006
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FANG Mingbao, HUANG Jiayu, YANG Wankang, SUN ChunjianJournal of Marine Sciences. 2020 Vol. 38 (4): 80-87 DOI: 10.3969/j.issn.1001-909X.2020.04.009
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LU Yi, CHU Fengyou, DONG Yanhui, ZHU Zhimin, ZHU Jihao, LU JiangguJournal of Marine Sciences. 2020 Vol. 38 (2): 16-25 DOI: 10.3969/j.issn.1001-909X.2020.02.003
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Study on diversity of rocky intertidal benthos community in uninhabited islands in Cangnan, ZhejiangLIU Hanren, LIAO Yibo, SHOU Lu, ZENG Jiangning, TANG Yanbin, LIU Qinghe, TAN Yonghua, L Duian, CHENG JieJournal of Marine Sciences. 2021 Vol. 39 (2): 68-79 DOI: 10.3969/j.issn.1001-909X.2021.02.008