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Monitoring of coastal and shelf sea ecosystems by combination of in-situ FerryBox and remote sensed data

机译:结合就地FerryBox和遥感数据监测沿海和陆架海洋生态系统

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An automatic measuring system called “FerryBox” was installed on a ferry travelling between Germany (Cuxhaven) and Great Britain (Harwich) enabling on-line oceanographic and biological measurements such as salinity, temperature, fluorescence, turbidity, oxygen, pH, and nutrient concentrations. Observations made along the ferry transect reveal characteristic phenomena such as high salinity inflow through the Channel into the southern Bight, algal bloom dynamics and related oxygen and pH changes. Combination of these on-line observations with remote sensing enhances the spatial resolution of the transect related measurements. Examples of the synergy between both operational measuring strategies are shown. Coherence of the data sets can be gained and improved by using water transport models in order to obtain synoptic overviews of the remote sensed and FerryBox related parameters. Limitations of the currently used algorithms for deriving chlorophyll-a from remote sensing images for coastal and shelf seas (Case-2 water) are discussed, as well as depth related processes which can not be properly resolved on the basis of water intake at a fixed point. However, in mixed coastal waters under normal conditions FerryBox data represent average conditions. The importance of future applications of these combination of methods for monitoring of coastal waters is emphasized.
机译:安装在德国(库克斯港)和英国(哈里奇)之间的渡轮上的自动测量系统“ FerryBox”可进行在线海洋学和生物测量,例如盐度,温度,荧光,浊度,氧气,pH和营养物浓度。沿渡轮断面进行的观测揭示了一些特征现象,例如高盐度通过海峡流入比特河的南部,藻华动态以及相关的氧气和pH值变化。这些在线观测与遥感的结合提高了与样带相关的测量的空间分辨率。显示了两种操作测量策略之间协同作用的示例。数据集的一致性可以通过使用水运输模型来获得和改善,以便获得遥感和FerryBox相关参数的概要。讨论了目前从沿海和陆架海域(Case-2水)的遥感图像中获取叶绿素-a的算法的局限性,以及与深度相关的过程,这些过程在固定的进水量基础上无法正确解决。点。但是,在正常条件下的混合沿海水域中,FerryBox数据代表平均状况。强调了将这些方法组合起来用于沿海水域监测的未来应用的重要性。

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