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High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event

机译:重大洪水事件中河羽相互作用的高分辨率卫星浊度和海面温度观测

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Sea surface temperature (SST) and turbidity (T) derived from Landsat 8 (L8) imagery were used to characterize river plumes in the northern Adriatic Sea (NAS) during a significant flood event in November 2014. Circulation patterns and sea surface salinity (SSS) from an operational coupled ocean-wave model supported the interpretation of the plumes' interaction with the receiving waters and among them. There was a good agreement of the SSS, T, and SST fields at the sub-mesoscale and mesoscale delineation of the major river plumes. L8 30 m resolution also enabled the description of smaller plume structures. The different plumes' reflectance spectra were related to the lithological fingerprint of the sediments in the river catchments. Sharp fronts in T and SST delimited each single river plume. The isotherms and turbidity isolines' coupling varied among the plumes due to differences in particle loads and surface temperatures in the discharged waters. The surface expressions of all the river plumes occurring in NAS were classified based on the occurrence of the plume dynamical regions in the L8 30 m resolution imagery.
机译:从Landsat 8(L8)影像获得的海面温度(SST)和浊度(T)用于表征2014年11月一次重大洪水事件中亚得里亚海(NAS)北部的河羽。环流模式和海面盐度(SSS) )的操作耦合海浪模型支持对羽流与接收水域及其间相互作用的解释。在主要河流羽流的亚中尺度和中尺度划界上,SSS,T和SST油田达成了很好的协议。 L8 30 m分辨率还可以描述较小的羽状结构。不同羽流的反射光谱与河流集水区沉积物的岩性指纹有关。 T和SST的锋利边界界定了每条河羽。等温线和浊度等值线的耦合在羽状流之间变化,这是由于排出水中的颗粒负荷和表面温度的差异所致。根据L8 30 m分辨率图像中羽流动态区域的出现,对NAS中所有河羽的表面表达进行分类。

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