首页|Distributions of dissolved oxygen and apparent oxygen utilization in the Cosmonaut Sea and Amundsen Sea in austral summer 2022
Distributions of dissolved oxygen and apparent oxygen utilization in the Cosmonaut Sea and Amundsen Sea in austral summer 2022
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国家科技期刊平台
NETL
NSTL
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Dissolved oxygen(DO)and apparent oxygen utilization(AOU)are essential parameters for evaluating the impact of climate change on marine ecosystems.In this study,we utilized data on DO and AOU collected from the Amundsen Sea(western Antarctic)and the Cosmonaut Sea(eastern Antarctic)during the 38th Chinese National Antarctic Research Expedition,along with chlorophyll a(Chl a)data,to analyze the impact of primary production and the spatial distribution and structural features of water masses in these regions.The findings show that the standard deviation range of parallel DO samples is between 0.1 and 3.9 μmol·L-1,meeting the precision criteria of the survey method.AOU values lower than 0.0 μmol·L-1 were commonly observed in the surface waters of both regions,with the highest incidence in the polynya of Amundsen Sea,indicating a strong influence of high primary production.The Cosmonaut Sea exhibited the highest AOU values(higher than 160.0 μmol·L-1)in the 75-500 m layer,while AOU value in the Amundsen Sea did not exceed 160.0 μmol·L-1,suggesting potential upwelling of Circumpolar Deep Water to 100 m in the Cosmonaut Sea with minimal changes in its properties,whereas significant changes were noted in the properties of upwelling modified Circumpolar Deep Water in the Amundsen Sea.AOU values lower than 125.0 μmol·L-1 were detected in the near-bottom waters of the Cosmonaut Sea,indicating the presence of Antarctic Bottom Water.
dissolved oxygenapparent oxygen utilizationSouthern Oceanwater masschlorophyll a
Key Laboratory of Marine Ecosystem Dynamics,Ministry of Natural Resources,Hangzhou 310012,China
Second Institute of Oceanography,Ministry of Natural Resources,Hangzhou 310012,China
Organic Geochemistry Unit,Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province,School of Earth Sciences,Zhejiang University,Hangzhou 310027,China
国家科技期刊平台
NSTL
万方数据
