2021
DOI: 10.1038/s41598-020-80215-2
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Encountering shoaling internal waves on the dispersal pathway of the pearl river plume in summer

Abstract: Fundamentally, river plume dynamics are controlled by the buoyancy due to river effluent and mixing induced by local forcing such as winds and tides. Rarely the influence of far-field internal waves on the river plume dynamics is documented. Our 5-day fix-point measurements and underway acoustic profiling identified hydrodynamic processes on the dispersal pathway of the Pearl River plume. The river plume dispersal was driven by the SW monsoon winds that induced the intrusion of cold water near the bottom. The … Show more

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Cited by 8 publications
(8 citation statements)
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References 66 publications
(101 reference statements)
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“…A multivariate technique Empirical Orthogonal/Eigen Function (EOF) analysis was used to characterize the correlations (standardized covariability) of variables in the upper water column and near-bottom water column and radioisotopes in seafloor sediment. This technique is based on internal correlations (Resio and Hayden, 1975), which present the statistical characteristics of a group of data through the spatial or temporal correlation of the data (Du and Liu, 2017;Liu et al, 2019;Lee et al, 2021). Each eigenmode in the EOF result was ranked according to the quotient between the eigenvalue of the eigenmode and the sum of all the eigenvalues.…”
Section: The Eigen Function Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…A multivariate technique Empirical Orthogonal/Eigen Function (EOF) analysis was used to characterize the correlations (standardized covariability) of variables in the upper water column and near-bottom water column and radioisotopes in seafloor sediment. This technique is based on internal correlations (Resio and Hayden, 1975), which present the statistical characteristics of a group of data through the spatial or temporal correlation of the data (Du and Liu, 2017;Liu et al, 2019;Lee et al, 2021). Each eigenmode in the EOF result was ranked according to the quotient between the eigenvalue of the eigenmode and the sum of all the eigenvalues.…”
Section: The Eigen Function Analysismentioning
confidence: 99%
“…Variables from the upper water column included water-mass properties (temperature, salinity, fluorescence, DO, and nutrients), suspended sediment attributes (SSC, VC of four size-groups), tidal height (tidal forcing), and N-S and E-W wind velocity components. In the water-sediment interface, analyzed variables included watermass properties (temperature, salinity, fluorescence, DO, and nutrients), suspended sediment attributes (SSC, VC of four sizegroups), surface sediment proxies ( 210 Pb ex and 7 Be), tidal height (tidal forcing), and N-S and E-W wind velocity components (Lee et al, 2016(Lee et al, , 2021Liu et al, 2019).…”
Section: The Eigen Function Analysismentioning
confidence: 99%
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“…The red arrows indicate the directions of the survey lines. The solid circles show the locations of two XBT sites (red), CTD stations (magenta, Chen et al, 2017), and taut-line mooring station ZHJ2 (blue, Lee et al, 2021).…”
Section: Hydrographic Datamentioning
confidence: 99%
“…This study shows that the duration of ISWs is a few minutes, and the vertical displacements and vertical velocities are on the order of ∼10 m and 10 cm/s, respectively. For example, ISWs recorded that the vertical displacement was up to 20 m at a period of ∼6-8 h at station ZHJ2 (Figure 1; Lee et al, 2021).…”
Section: Offshore Engineering Implicationsmentioning
confidence: 99%