Seasonal variation, flux estimation, and source analysis of dissolved emerging organic contaminants in the Yangtze Estuary, China

2017 ◽  
Vol 125 (1-2) ◽  
pp. 208-215 ◽  
Author(s):  
Heng Zhao ◽  
Zhen Cao ◽  
Xue Liu ◽  
Yi Zhan ◽  
Jing Zhang ◽  
...  
2019 ◽  
Vol 36 (4) ◽  
pp. 513-525 ◽  
Author(s):  
Min Gan ◽  
Yongping Chen ◽  
Shunqi Pan ◽  
Jiangxia Li ◽  
Zijun Zhou

AbstractInfluenced by river discharge, the tidal properties of estuarine tides can be more complex than those of oceanic tides, which makes the tidal prediction less accurate when using a classical tidal harmonic analysis approach, such as the T_TIDE model. Although the nonstationary tidal harmonic analysis model NS_TIDE can improve the accuracy for the analysis of tides in a river-dominated estuary, it becomes less satisfactory when applying the NS_TIDE model to a mesotidal estuary like the Yangtze estuary. Through the error source analysis, it is found that the main errors originate from the low frequency of tidal fluctuation. The NS_TIDE model is then modified by replacing the stage model with the frequency-expanded tidal–fluvial model so that more subtidal constituents, especially the “atmospheric tides,” can be taken into account. The results show that the residuals from tidal harmonic analysis are significantly reduced by using the modified NS_TIDE model, with the yearly root-mean-square-error values being only 0.04–0.06 m for the Yangtze estuarine tides.


2020 ◽  
Author(s):  
Heqin Cheng ◽  
Wei Chen ◽  
Lizhi Teng ◽  
Xiaoting Yuan

<p><span><span>During the last decades, many estuarine systems in Europe (e.g. the Elbe, Ems, Loire) have shown increases in tidal range and in turbidity, which are linked to local human activity (i.e., deepening). Compared to these European estuaries, the Yangtze Estuary is much larger in scales, experiences much stronger river discharge, and it is subject to a strong seasonal variation in freshwater and sediment supply from the drainage area. Moreover, the Yangtze estuary is a complex network with several branches, connecting channels. The changes in the flow and sediment dynamics in the estuary may result from both local and nonlocal human activities. Despite the intense research efforts over the past two decades, it is still unclear which impact (local or nonlocal) is responsible for the changing flow and sediment characteristics in the estuary. Deep investigation of tidal characteristic quantities such as extreme tidal level, tidal range, amplitude of tidal constituents, tidal characteristic coefficient and suspended sediment concentration is performed in a systematic manner. It is accomplished using the extreme value analysis, the wavelet analysis and harmonic analysis of water level at 11 hydrography stations along the tidal river channel (Datong-Nanjing reach) and estuarine section (downstream the Xuliujing) during 2008-2016. Similar data analysis is also performed for the last four decades of 20th century and results are compared with the analysis of the recent measurements. The driving forces of the significant changes in tidal characteristic quantities and suspended sediment concentration are discussed. Results show that the tidal dynamics in the Yangtze estuary has been enhanced. Its seasonal variation is attributed to the adjustment of runoff distribution, which is mainly caused by the operation of Three Gorges Dam. In short-term, local changes of flow/sediment dynamics, terrain changes play a major role. In the long term (on the 40-year time scale), the effect of sea level rise on the increasing M2 constituent is obvious. This has mainly resulted from the enhancing anti-clockwise rotation of the synchronous tidal phase.</span></span></p><p> </p>


2015 ◽  
Vol 41 (1) ◽  
pp. 98-116 ◽  
Author(s):  
Min Zhang ◽  
Ian Townend ◽  
Yunxuan Zhou ◽  
Huayang Cai

2010 ◽  
Vol 33 (6) ◽  
pp. 1219-1225 ◽  
Author(s):  
Fei-Yan ZHANG ◽  
Jing-Liang TANG ◽  
Dao-Ji LI ◽  
Tao FANG ◽  
Biao WANG

Engineering ◽  
2021 ◽  
Author(s):  
Mengmeng Zhong ◽  
Tielong Wang ◽  
Wenxing Zhao ◽  
Jun Huang ◽  
Bin Wang ◽  
...  

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