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High-resolution monitoring of environmental state variables in the surface layer of the Gulf of Finland (during a dynamic spring bloom in March-May 2010)

机译:芬兰海湾表面层环境态变量的高分辨率监测(在2010年3月 - 五月盛开的动态春天绽放期间)

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The flow-through system (Ferrybox) installed onboard a ferry cruising between Tallinn and Helsinki in the Gulf of Finland (Baltic Sea) measures temperature, salinity, chlorophyll a fluorescence, turbidity and since January 2010 also pCO2. In March-May 2010, the water sampling was conducted on a weekly basis at 17 locations along the ferry route to measure nutrient concentrations (NO2+NO3 and PO4), chlorophyll a content and phytoplankton species composition and biomass. Our aim was to show that the Ferrybox technology can be successfully applied to follow the rapid changes of state variables during a very dynamic season of the year — phytoplankton spring bloom. High variability of environmental parameters has been observed both in space and time in the Gulf of Finland in spring 2010. It is suggested that both the general circulation in the surface layer and mesoscale hydrodynamic processes are influencing the bloom evolution and spatio-temporal variability. The observed coincidence of Chl a peaks with the periods of relatively fast temperature increase indirectly shows the importance of positive buoyancy fluxes (vertical stratification) for phytoplankton growth in spring. Spatio-temporal distribution of pCO2 was in a good accordance with the Chl a dynamics confirming that the pCO2 measurements can be used for the estimates of phytoplankton productivity. Our data confirm that the regular late evening fluorescence measurements can be successfully applied to determine the Chl a content in the surface waters in spring. It is concluded that autonomous high-resolution in-situ monitoring in combination with adaptive water sampling and remote sensing could give a full enough data set to assess the environmental state of the Gulf of Finland during this highly dynamic season of the year.
机译:流通系统(Ferrybox)安装在芬兰(波罗的海)塔林和赫尔辛基之间的渡轮巡航船上(波罗的海)测量温度,盐度,叶绿素A荧光,浊度,自2010年1月以来也是PCO 2 。 2010年3月 - 2010年5月,水采样在沿着渡轮途径的17个地点每周进行,以测量营养浓度(NO 2 + NO 3 和PO 4 ),叶绿素含量和浮游植物种类组成和生物质。我们的目的是表明,在一年中非常充满活力的季节,可以成功地应用渡轮技术以遵循状态变量的快速变化 - Phytoplankton Spring Bloom。在2010年春季芬兰湾的空间和时间内观察到环境参数的高变异性。建议表面层和Mescle流体动力学过程中的一般循环都影响着绽放演化和时空变异性。观察到CHL的峰值与相对快速的温度升高的峰间间接地表明了春季浮游植物生长的积极浮力通量(垂直分层)的重要性。 PCO 2 的时空分布与CHL动力学,确认PCO 2 测量可用于浮游植物生产率的估计。我们的数据确认,可以成功地应用正常的晚期荧光测量以确定春季表面水中的CHL含量。结论是,与自适应水采样和遥感组合的自主高分辨率原位监测可以提供足够的数据集,以评估芬兰海湾的环境状况在今年的高度动态季节。

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