A thirteen-year record of bathymetric changes in the North Passage, Changjiang (Yangtze) estuary

Dai, Zhicong; Liu, James T.; Gui, Fu; Xie, Huixiang

doi:10.1016/j.geomorph.2013.01.004

Cited by 112 publications

(61 citation statements)

References 26 publications

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“…It is also worth mentioning that the channel maintenance project deepened the shipping channel in the N. Passage from the -6.5 m to the -12.5 m isobaths over a period of 12 years and removed river-bed sediment about 6 m thinck35. This caused the apparent ‘erosion’ of the N. Passage (Figs.…”

Section: Discussionmentioning

confidence: 99%

Detection of the Three Gorges Dam influence on the Changjiang (Yangtze River) submerged delta

Dai

Liu

Wen

et al. 2014

Sci Rep

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213

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While most large river-deltas in the world are facing the risk of subsidence and erosion in the Anthropocene, it is suspected that the Changjiang submerged delta (CSD) could be subjected to the impacts of the world's largest dam, the Three Gorges Dam (TGD). Here we firstly indicate that the CSD went through high accumulation (1958–1978); slight accumulation (1978–1997), slight erosion (1997–2002); and high accumulation (2002–2009), despite the 70% reduction of the sediment load from upstream since the operation of the TGD in 2003. Meanwhile, at the depocenter of the submerged delta, the accumulation maintained a high rate of 10 cm/yr during 1958–2009. This suggests on a longer term, the distal sediment source from the upstream had little effect on the CSD. Within this time frame the changes in the partition of sediment load among the branching channels of the Changjiang Estuary could likely control the shifting of the depocenter of the CSD on a decadal time scale. Episodic extreme floods and storm surges also increased the magnitude of deposition and erosion of the CSD on short-term scales. A re-evaluation of the impacts of TGD on the CSD is urgently needed.

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Section: Discussionmentioning

confidence: 99%

Detection of the Three Gorges Dam influence on the Changjiang (Yangtze River) submerged delta

Dai

Liu

Wen

et al. 2014

Sci Rep

Self Cite

213

146

View full text Add to dashboard Cite

show abstract

“…The technique has been widely applied in studies of sediment transport, morphological change, and suspended sediment dynamics (e.g., Liu and Lin, 2004;Liu et al, 2009;Dai et al, 2010Dai et al, , 2013aDai et al, , 2013b. The technique breaks down a set of intercorrelated variables into a small number of statistically independent variables (Dai et al, 2013a(Dai et al, , 2013b. In this study, the values for possible influential factors (water depth, salinity, water temperature, current velocity [Ub], significant wave height [Hs], wind speed, and SSC), as collected during the field campaign, were standardized to form a single matrix M:…”

Section: Empirical Orthogonal Function (Eof) Analysismentioning

confidence: 99%

“…The cumulative contribution represents the main information from the original datasets when F > 85% (Dai et al, 2013b;Emery and Thomson, 2001).…”

Section: Empirical Orthogonal Function (Eof) Analysismentioning

confidence: 99%

Field and theoretical investigation of sediment mass fluxes on an accretional coastal mudflat

Shi

Wang

et al. 2016

Journal of Hydro-environment Research

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“…In the present study, principal component analysis (PCA) was applied to evaluate the relative importance of turbulence, flocculation ability, and SSC as controls on floc size. This tool has been used in many areas of marine research, including assessments of correlations between sediment grain size and beach profiles (e.g., Medina et al 1994), suspended sediment dynamics (e.g., McManus and Prandle 1997), current dynamics (e.g., Klinck 1985), and changes in estuarine morphology (e.g., Dai et al 2013).…”

Section: Introductionmentioning

confidence: 99%

On the variability of near-bed floc size due to complex interactions between turbulence, SSC, settling velocity, effective density and the fractal dimension of flocs

Yang

Wang

et al. 2016

Geo-Mar Lett

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Interactions between turbulence, suspended sediment concentration (SSC), settling velocity, effective density, fractal dimension, and floc size were studied on the tide-dominated, muddy coastal shelf of the southwestern Yellow Sea, China. The measurements were carried out in July 2013 at two sites located in water depths of 21.2 and 22.1 m. Negative correlations were observed between shear rate, SSC, effective density, and mean floc size, which supports the results of previous numerical, experimental, and field studies. A significant positive correlation was observed between near-bed SSC and shear rate, an indication that SSC variations are controlled by turbulence and re-suspension. In addition, significant linear relationships were found between settling velocity and other parameters (floc size, turbulence, SSC, effective density, and fractal dimension) at the two sites, indicating that the controlling factors on settling velocity are spatially variable. Principal component analysis was applied to determine the relative importance of turbulence, flocculation ability, and SSC as controls on floc size in situ. The relative contributions of turbulence, flocculation ability, and SSC to floc size (at both sites) were~33.0%, 30.3%, and 29.7%, respectively, this being a new field-based quantitative analysis of the controls on floc size. The findings demonstrate that, in nature, flocculation ability affects floc size to the same degree as turbulence and SSC. Therefore, predictions of floc size in coastal marine environments require constraints not only on turbulence and SSC, but also on flocculation ability.

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A thirteen-year record of bathymetric changes in the North Passage, Changjiang (Yangtze) estuary

Cited by 112 publications

References 26 publications

Detection of the Three Gorges Dam influence on the Changjiang (Yangtze River) submerged delta

Detection of the Three Gorges Dam influence on the Changjiang (Yangtze River) submerged delta

Field and theoretical investigation of sediment mass fluxes on an accretional coastal mudflat

On the variability of near-bed floc size due to complex interactions between turbulence, SSC, settling velocity, effective density and the fractal dimension of flocs

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