Kuroshio Current

黑潮电流
  • 文章类型: Journal Article
    在这项研究中,平均表面温度,盐度,溶解氧,pH为24.65±1.53(°C),34.21±0.07(PSU),6.85±0.18(mg/L),和8.36±0.03。根据这些环境参数,车站被安排成三组。A组代表位于基隆岛周围的站点,平均溶解氧相对最高,最低平均温度,和pH值。相反,最低的平均溶解氧和最高的平均温度,盐度,和pH值记录在海上站。基隆岛地区被冷水团指控,由东北季风驱动,C组的站点受到黑潮的影响。奎山岛地区主要受到黑潮入侵和季风引起的冷水混合水团的影响。在这项研究中,共鉴定出108种co足类,平均丰度为774.24±289.42(inds.m-3)。大多数物种属于Calanoida和Poecilostomatoida目,平均相对丰度(RA)为62.96%和30.56%,分别。钙质合足类动物是最主要的群体,RA为28.06%。其次是尖顶,RA为18.44%。叶冠和角冠的RA分别为4.80%和3.59%,分别。优势种。C.Pauper,Paracalanusparvus,和temoraturbinata与地表水中的溶解氧呈正相关,与温度呈负相关。pH值与parvus和T.turbinata呈负相关,而温度与这两个优势种呈负相关。通过高于50%的指标值选择指示物种。TurbinataTemora,Calanopia椭圆,C.Pauper,Euchaetaconcinna,Temora表示反对,Acartiapacifica,Macrosetellagracilis,特别是Corycaeus,和P。parvus被认为是A组中的季风冷水指示物种。黑潮的指示co足类物种是Farranulaconcinna,奇迹科提拉,Candaciaaethiopica,CorycaeusAgilis,研究区的法兰古拉长骨和无尾直刺。特伦卡塔百事可乐,Oncaeaclevei,P.aculeatus,和Centropagesfurcatus被认为是混合水团的合适指标。
    During this research, the average surface temperature, salinity, dissolved oxygen, and pH were 24.65 ± 1.53 (°C), 34.21 ± 0.07 (PSU), 6.85 ± 0.18 (mg/L), and 8.36 ± 0.03, respectively. Based on these environmental parameters, stations were arranged into three groups. Group A represents stations located around Keelung Island with the relative highest average dissolved oxygen, lowest average temperature, and pH values. Instead, the lowest average dissolved oxygen and highest average temperature, salinity, and pH values were recorded at the offshore stations. Keelung Island area was charged by cold water masses, which were driven by the Northeast monsoon, and stations in group C were affected by the Kuroshio Current. Kueishan Island area was mainly affected by mixed water masses resulting from the Kuroshio intrusion and monsoon-derived cold water. In this study, a total of 108 copepod species were identified, with an average abundance of 774.24 ± 289.42 (inds. m-3). Most species belong to the orders Calanoida and Poecilostomatoida, with an average relative abundance (RA) of 62.96% and 30.56%, respectively. Calanoid copepodites were the most dominant group, with a RA of 28.06%. This was followed by Paracalanus aculeatus, with a RA of 18.44%. The RA of Clausocalanus furcatus and Canthocalanus pauper was 4.80% and 3.59%, respectively. The dominant species P. aculeatus, C. pauper, Paracalanus parvus, and Temora turbinata were positively correlated with dissolved oxygen and negatively correlated with temperature in the surface waters. pH showed a negative correlation with P. parvus and T. turbinata, while the temperature was negatively correlated with these two dominant species. Indicator species were selected by an indicator value higher than 50%. Temora turbinata, Calanopia elliptica, C. pauper, Euchaeta concinna, Temora discaudata, Acartia pacifica, Macrosetella gracilis, Corycaeus speciosus, and P. parvus were considered as monsoonal cold water indicator species in Group A. Indicator copepod species for the Kuroshio Current were Farranula concinna, Copilia mirabilis, Candacia aethiopica, Corycaeus agilis, Farranula gibbula and Acrocalanus monachus in the study area. Paracandacia truncata, Oncaea clevei, P. aculeatus, and Centropages furcatus were considered suitable indicators for mixed water masses.
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  • 文章类型: Journal Article
    最近的一项研究证明了基于卫星的异养鞭毛藻表面水华检测的可能性,红色闪烁夜蛾(RNS)。该研究进一步记录了2000年至2017年间东海(ECS)的RNS水华模式。这里,在2018年至2020年之间的最新卫星观测的补充下,21年的开花记录表明,尽管开花分布在不同年份有所不同,并且年度累积开花足迹显示出增加的趋势,21年的累积开花足迹受到黑潮前线等主要海洋前沿的限制。在所有的观察中,2020年是“完成”2020年长江洪水事件额外排放的关键一年,结合洋流,尽管河流影响至少达到128°E,但仍将花朵输送到足迹的最东北位置,远远超出了RNS的足迹。
    A recent study demonstrated the possibility of satellite-based detection of surface blooms of the heterotrophic dinoflagellate, red Noctiluca scintillans (RNS). The study further documented RNS bloom patterns in the East China Sea (ECS) between 2000 and 2017. Here, complemented by more recent satellite observations between 2018 and 2020, the 21-year bloom record shows that while bloom distributions vary in different years and annual cumulative bloom footprint shows an increasing trend, the 21-year cumulative bloom footprint is bounded by major ocean fronts such as the Kuroshio Front. Of all observations, 2020 is a critical year to \"complete\" the footprint as extra discharge from the 2020 Yangtze River flood event, combined with ocean currents, transports the bloom to the most northeast location of the footprint although the riverine influence reaches at least 128°E, well beyond the RNS footprint.
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