首页> 外文会议>2010 IEEE/OES US/EU Baltic International Symposium >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)
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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:高分辨率监测芬兰湾表层的环境状态变量(在2010年3月至5月的春季动态开花期间)

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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:安装在芬兰海湾(波罗的海)塔林和赫尔辛基之间的轮渡上的流通系统(Ferrybox)可测量温度,盐度,叶绿素荧光,浊度,自2010年1月以来还测量pCO 2 。 2010年3月至5月,在轮渡航线上的17个位置每周进行一次水采样,以测量营养物浓度(NO 2 + NO 3 和PO 4 ),叶绿素a含量,浮游植物种类组成和生物量。我们的目的是证明Ferrybox技术可以成功应用于在一年中非常活跃的季节(浮游植物春季开花)中跟踪状态变量的快速变化。在2010年春季,芬兰湾的环境参数在空间和时间上都存在高度变异性。这表明表层的一般环流和中尺度水动力过程都在影响水华的演变和时空变异性。观测到的Chla峰值与温度相对快速升高的时间段的重合间接表明正浮力通量(垂直分层)对于春季浮游植物生长的重要性。 pCO 2 的时空分布与Chl a动力学非常吻合,证实了pCO 2 的测量值可用于浮游植物生产力的估算。我们的数据证实,常规的傍晚荧光测量可以成功地用于确定春季地表水中Chla的含量。结论是,自主高分辨率的原位监测与自适应水采样和遥感相结合可以提供足够的数据集,以评估一年中这个高度动态的季节期间芬兰湾的环境状况。

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