On the Origin of the Radial Sand Ridges in the Southern Yellow Sea: Results from the Modeling of the Paleoradial Tidal Current Fields off the Paleo-Yangtze River Estuary and Northern Jiangsu Coast

2005 ◽  
Vol 216 ◽  
pp. 1245-1256 ◽  
Author(s):  
Yurong Zhu ◽  
Qingqiang Chen
Keyword(s):  
Yellow Sea ◽  
Tidal Current ◽  
Yangtze River ◽  
River Estuary ◽  
Yangtze River Estuary ◽  
Southern Yellow Sea ◽  
Jiangsu Coast ◽  
The Southern Yellow Sea ◽  
Sand Ridges ◽  
Radial Sand Ridges

scholarly journals A Morphodynamic Modeling Study on the Formation of the Large‐Scale Radial Sand Ridges in the Southern Yellow Sea

2019 ◽  
Vol 124 (7) ◽  
pp. 1742-1761 ◽  
Author(s):  
Jianfeng Tao ◽  
Zheng Bing Wang ◽  
Zeng Zhou ◽  
Fan Xu ◽  
Changkuan Zhang ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Large Scale ◽  
Southern Yellow Sea ◽  
The Southern Yellow Sea ◽  
Sand Ridges ◽  
Radial Sand Ridges ◽  
Morphodynamic Modeling ◽  
Modeling Study

scholarly journals Remote Sensing Estimation of Sea Surface Salinity from GOCI Measurements in the Southern Yellow Sea

2019 ◽  
Vol 11 (7) ◽  
pp. 775 ◽  
Author(s):  
Deyong Sun ◽  
Xiaoping Su ◽  
Zhongfeng Qiu ◽  
Shengqiang Wang ◽  
Zhihua Mao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Coastal Waters ◽  
Yangtze River ◽  
River Estuary ◽  
Sea Surface Salinity ◽  
Yangtze River Estuary ◽  
The Yangtze River ◽  
Surface Salinity ◽  
The Southern Yellow Sea ◽  
The Yangtze River Estuary

Knowledge about the spatiotemporal distribution of sea surface salinity (SSS) provides valuable and important information for understanding various marine biogeochemical processes and ecosystems, especially for those coastal waters significantly affected by human activities. Remote-sensing techniques have been used to monitor salinity in the open ocean with their advantages of wide-area surveys and real-time monitoring. However, potential challenges remain when using satellite data with coarse spatiotemporal resolutions, leading to a loss of valuable information. In the current study, based on the local dataset collected over the southern Yellow Sea (SYS), a region-customized algorithm was developed to estimate SSS by using the remote sensing reflectance. The model evaluations indicated that our algorithm yielded good SSS estimation, with a root-mean-square error (RMSE) of 0.29 psu and a mean absolute percentage error (MAPE) of 0.75%. Satellite-derived SSS results compared well with those derived from in situ observations, further suggesting the good performance of our developed algorithm for the study regions. We applied this algorithm to Geostationary Ocean Color Imager (GOCI) data for the month of August from 2011 to 2018 in the SYS, and produced the spatial distribution patterns of the SSS for August of each year. The SSS values were high in offshore waters and lower in coastal waters, especially in the Yangtze River estuary. The negative correlation between the monthly Changjiang River discharge (CRD) and SSS (R = −0.71, p < 0.001) near the Yangtze River estuary was observed, suggesting that the SSS distribution in the Yangtze River estuary was potentially influenced by the CRD. In offshore waters, the correlation between SSS and CRD was weak (R < 0.2), suggesting that the riverine discharge’s effect might be weak.

Sediment exchange between channel and sand ridges in the southern Yellow Sea: The importance of tidal asymmetries

2020 ◽  
Vol 205 ◽  
pp. 104169
Author(s):  
Gaolei Cheng ◽  
Ya Ping Wang ◽  
George Voulgaris ◽  
Jiabi Du ◽  
Jinyu Sheng ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Southern Yellow Sea ◽  
The Southern Yellow Sea ◽  
Sand Ridges

Rotary spectrum analysis of tidal current in the southern Yellow Sea

2007 ◽  
Vol 25 (3) ◽  
pp. 286-291 ◽  
Author(s):  
Zhiliang Liu ◽  
Dunxin Hu ◽  
Xiaohui Tang ◽  
Enbo Wei
Keyword(s):  
Spectrum Analysis ◽  
Yellow Sea ◽  
Tidal Current ◽  
Southern Yellow Sea ◽  
The Southern Yellow Sea
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