Reprint of Mechanisms of maintaining high suspended sediment concentration over tide-dominated offshore shoals in the southern Yellow Sea

Xiong, Jilian; Wang, Xiaohua; Wang, Ya Ping; Chen, Jingdong; Shi, Benwei; Gao, Jianhua; Yang, Yang; Yu, Qian; Li, Mingliang; Lei, Yongmei; Gong, Xiao

doi:10.1016/j.ecss.2018.03.019

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…The geometrical similarities of the secondary dunes on the South Falls sandbank and the dunes on the tidal ridge off the Jiangsu Coast are possibly due to the fact that they are at a scale which is sensitive to strong tidal flows (Ashley, 1990; Idier et al , 2004; Passchier and Kleinhans, 2005). Thus, both sites are characterized by macro‐tides, the tidal current velocity and tidal range being up to 2 m/s and 6 m, respectively (Le Bot and Trentesaux, 2004; Yu et al , 2012; Xiong et al , 2018). Such morphological comparisons may hence form the basis for future process‐based interpretations of the formation of differently scaled dunes.…”

Section: Discussionmentioning

confidence: 99%

“…The tidal ridges and swaths are aligned parallel to each other in a nearly east–west orientation, the depth range of the ridge‐swath system being 2–20 m (Figure 1b). It is characterized by large tidal ranges and strong tidal currents, up to 6 m and 2 m/s, respectively (Yu et al , 2012; Xiong et al , 2018). The 100 m × 400 m bathymetric domain (Figure 1b) is located on the northern slope of the ridge.…”

Section: Methodsmentioning

confidence: 99%

“…The differences of the dune geometry between the two areas can be attributed to differences in water depth and bed sediment grain size. The water depth of the South Falls sandbank is about six times that off the Jiangsu Coast, while the bed surface sediment of the South Falls sandbank is composed of medium sand and that of the tidal ridge off the Jiangsu Coast of fine sand (Le Bot and Trentesaux, 2004;Xiong et al, 2018). It is well documented that larger water depths and coarser sediment generally promote dune growth (Van Rijn, 2007;Wang et al, 2016).…”

Section: Comparison Of Bedform Morphologymentioning

confidence: 99%

“…(b) Maximum errors for different N/L with the orientation varying from 0 to 180°. [Colour figure can be viewed at wileyonlinelibrary.com] and tidal range being up to 2m/s and 6m, respectively (Le Bot and Trentesaux, 2004;Yu et al, 2012;Xiong et al, 2018). Such morphological comparisons may hence form the basis for future process-based interpretations of the formation of differently scaled dunes.…”

Section: Comparison Of Bedform Morphologymentioning

confidence: 99%

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An automated procedure to calculate the morphological parameters of superimposed rhythmic bedforms

Wang

Zhang

et al. 2020

Earth Surf Processes Landf

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Subaqueous dunes are often observed to be superimposed on larger dunes, sand bars and tidal ridges, while smaller dunes may also be found superimposed on larger dunes. In this study an automated method has been developed by which the geometry of superimposed rhythmic bedforms can be analysed. The method combines two-dimensional (2D) Fourier analysis, wavelet transform, zero-crossing analysis and a variety of filters. Instead of applying conventional manual procedures, the wavelength of interest can be automatically determined by a series of 2D Fourier analyses, which is a critical first step for automated analysis of dune geometries. Based on such efficient data preprocessing, the method can accurately determine dune orientation, separate target bedform profiles, and identify crests and troughs. With the input of bathymetry, the dominant regional dune orientation can be determined together with the geometric parameters of individual dunes (wavelength, height, leeside angles) and their spatial distribution. The method was applied to both synthetic and observed bathymetries of a tidal ridge off the Jiangsu coast, China, and a sand bank in the Dover Strait, UK. The results show that almost all dunes in the domain were detected and their geometric parameters accurately calculated, especially in areas of bedform superimposition.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Comparison Of Bedform Morphologymentioning

confidence: 99%

Section: Comparison Of Bedform Morphologymentioning

confidence: 99%

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An automated procedure to calculate the morphological parameters of superimposed rhythmic bedforms

Wang

Zhang

et al. 2020

Earth Surf Processes Landf

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“…In summer, due to high runoff, a large amount of sediment is transported to the ocean through the estuary every year (Gao et al, ; Guo et al, ). The resuspension of seafloor sediments caused by storm waves in winter also leads to high turbidity near the estuary (Lu et al, ; Wen et al, ; Xiong et al, ). Therefore, different spatial turbidity patterns would be expected to occur in the Yellow River estuary in different months and seasons.…”

Section: Methodsmentioning

confidence: 99%

Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

Wang

Shen

et al. 2019

JGR Oceans

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Water turbidity is an important indicator for water security and environmental security in the Yellow River estuary. However, due to the complex terrain and harsh climatic environment, it is difficult to monitor the water turbidity over the complex surface of the estuary. In this study we applied a self‐organizing map clustering method, an artificial neural network clustering method, to extract turbidity patterns from the long‐term remote sensing data sets in the Yellow River estuary. Based on the Moderate Resolution Imaging Spectroradiometer data from 2000 to 2015, six turbidity patterns were identified by using the self‐organizing map clustering method: high turbidity pattern, moderate turbidity pattern, low turbidity pattern, very low turbidity pattern, extreme high turbidity pattern and sea ice pattern, and the first four patterns appear every year. All patterns have significant seasonal characteristics, and monthly turbidity is dominated by one of these turbidity patterns. The water turbidity in the estuary has decreased in the past 16 years, and the interannual variation of the turbidity pattern is the result of the combination of the sediment transported into the sea by the Yellow River and the wind and waves on the sea surface.

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Geomorphology and sediment dynamics of the Liyashan oyster reefs, Jiangsu Coast, China

Lin

et al. 2021

Acta Oceanol. Sin.

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Reprint of Mechanisms of maintaining high suspended sediment concentration over tide-dominated offshore shoals in the southern Yellow Sea

Cited by 7 publications

References 34 publications

An automated procedure to calculate the morphological parameters of superimposed rhythmic bedforms

An automated procedure to calculate the morphological parameters of superimposed rhythmic bedforms

Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

Geomorphology and sediment dynamics of the Liyashan oyster reefs, Jiangsu Coast, China

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