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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 floodevent in November 2014. Circulation patterns and sea surface salinity (SSS) from an operational coupledocean-wave model supported the interpretation of the plumes' interaction withthe receiving waters and among them.There was a good agreement of the SSS, T, and SST fields at thesub-mesoscale and mesoscale delineation of the major river plumes. L8 30 mresolution also enabled the description of smaller plume structures. Thedifferent plumes' reflectance spectra were related to the lithologicalfingerprint of the sediments in the river catchments.Sharp fronts in T and SST delimited each single river plume. The isothermsand turbidity isolines' coupling varied among the plumes due to differencesin particle loads and surface temperatures in the discharged waters. Thesurface expressions of all the river plumes occurring in NAS were classifiedbased on the occurrence of the plume dynamical regions in the L8 30 mresolution imagery.
机译:从Landsat 8(L8)影像获得的海表温度(SST)和浊度(T)用于表征2014年11月一次重大洪灾期间亚得里亚海(NAS)北部的河羽。环流模式和海面盐度(SSS)来自运行耦合海浪模型的数据支持了羽流与接收水域之间以及其中的相互作用的解释。 SSS,T和SST场在亚中尺度和中尺度划分方面有着很好的一致性。主要的河羽。 L8 30分辨率也可以描述较小的羽状结构。不同的羽流反射光谱与河流集水区沉积物的岩性指纹有关。 T和SST的锋利锋线界定了每个单一的河流羽流。等温线和浊度等值线的耦合在羽状流之间由于排泄水中颗粒负荷和表面温度的差异而变化。根据L8 30分辨率图像中羽流动态区域的出现情况,对NAS中所有河流羽流的表面表达进行分类。

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