THREE-DIMENSIONAL BASIN-SCALE OCEANIC TRANSPORT OF RIVER-DERIVED MICROPLASTICS IN THE SOUTH CHINA SEA

2020 ◽  
Vol 76 (2) ◽  
pp. I_979-I_984
Author(s):  
Kosei MATSUSHITA ◽  
Yusuke UCHIYAMA ◽  
Naru TAKAURA ◽  
Taichi KOSAKO
Keyword(s):  
South China Sea ◽  
South China ◽  
Three Dimensional ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Basin Scale ◽  
Oceanic Transport

Sub-basin scale inhomogeneity of mantle in the South China Sea revealed by magnesium isotopes

2020 ◽  
Author(s):  
Yuan Zhong ◽  
Guo-Liang Zhang ◽  
Qi-Zhen Jin ◽  
Fang Huang ◽  
Xiao-Jun Wang ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Magnesium Isotopes ◽  
China Sea ◽  
Basin Scale ◽  
Scale Inhomogeneity

The Generation of Nonlinear Internal Waves in the South China Sea: A Three‐Dimensional, Nonhydrostatic Numerical Study

2019 ◽  
Vol 124 (12) ◽  
pp. 8949-8968 ◽  
Author(s):  
Zhigang Lai ◽  
Guangzhen Jin ◽  
Yongmao Huang ◽  
Haiyun Chen ◽  
Xiaodong Shang ◽  
...  
Keyword(s):  
South China Sea ◽  
Internal Waves ◽  
South China ◽  
Numerical Study ◽  
Three Dimensional ◽  
The South China Sea ◽  
The South ◽  
Nonlinear Internal Waves ◽  
China Sea

scholarly journals Seismic Expression of Polygonal Faults and Its Impact on Fluid Flow Migration for Gas Hydrates Formation in Deep Water of the South China Sea

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
Duanxin Chen ◽  
Shiguo Wu ◽  
Xiujuan Wang ◽  
Fuliang Lv
Keyword(s):  
Fluid Flow ◽  
South China Sea ◽  
South China ◽  
Gas Hydrates ◽  
Three Dimensional ◽  
The South China Sea ◽  
Normal Faults ◽  
The South ◽  
China Sea ◽  
3D Seismic Data

Polygonal faults were identified from three-dimensional (3D) seismic data in the middle-late Miocene marine sequences of the South China Sea. Polygonal faults in the study area are normal faults with fault lengths ranging from 100 to 1500 m, fault spaces ranging from 40 to 800 m, and throws ranging from 10 to 40 m. Gas hydrate was inferred from the seismic polarity, the reflection strength, and the temperature-pressure equilibrium computation results. Gas hydrates located in the sediments above the polygonal faults layer. Polygonal faults can act as pathways for the migration of fluid flow, which can supply hydrocarbons for the formation of gas hydrates.

scholarly journals Feasibility of reconstructing the basin–scale sea surface partial pressure of carbon dioxide from sparse in situ observations over the South China Sea

2020 ◽  
Author(s):  
Guizhi Wang ◽  
Samuel S. P. Shen ◽  
Yao Chen ◽  
Yan Bai ◽  
Huan Qin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
South China Sea ◽  
Partial Pressure ◽  
South China ◽  
The South China Sea ◽  
Sea Surface ◽  
High Pco2 ◽  
The South ◽  
China Sea ◽  
Basin Scale

Abstract. Sea surface partial pressure of CO2 (pCO2) data with high spatial-temporal resolution are important in studying the global carbon cycle and assessing the oceanic carbon uptake capacity. However, the observed sea surface pCO2 data are usually limited in spatial and temporal coverage, especially in marginal seas. This study provides an approach to reconstruct the complete sea surface pCO2 field in the South China Sea (SCS) with a grid resolution of 0.5º × 0.5º over the period of 2000–2017 using both remote-sensing derived pCO2 and observed pCO2. Empirical orthogonal functions (EOFs) were computed from the remote sensing derived pCO2. Then, a multilinear regression was applied to the observed pCO2 as the response variable with the EOFs as the explanatory variables. EOF1 explains the general spatial pattern of pCO2 in the SCS. EOF2 shows the pattern influenced by the Pearl River plume on the northern shelf and slope. EOF3 is consistent with the pattern influenced by coastal upwelling along the north coast of the SCS. The reconstructions always agree with observations. When pCO2 observations cover a sufficiently large area, the reconstructed fields successfully display a pattern of relatively high pCO2 in the mid-and-southern basin. The rate of sea surface pCO2 increase in the SCS is 2.383 μatm per year based on the spatial average of the reconstructed pCO2 over the period of 2000–2017. All the data for this paper are openly and freely available at PANGAEA under the link https://doi.pangaea.de/10.1594/PANGAEA.921210 (Wang et al., 2020).

scholarly journals Seasonal and interannual variability of primary and export production in the South China Sea: a three-dimensional physical–biogeochemical model study

2009 ◽  
Vol 66 (2) ◽  
pp. 420-431 ◽  
Author(s):  
Guimei Liu ◽  
Fei Chai
Keyword(s):  
South China Sea ◽  
Interannual Variability ◽  
South China ◽  
Three Dimensional ◽  
The South China Sea ◽  
Biogeochemical Model ◽  
Biological Productivity ◽  
The South ◽  
New Production ◽  
China Sea

Abstract Liu, G., and Chai, F. 2009. Seasonal and interannual variability of primary and export production in the South China Sea: a three-dimensional physical–biogeochemical model study. – ICES Journal of Marine Science, 66: 420–431. To investigate the seasonal and interannual variations in biological productivity in the South China Sea (SCS), a Pacific basin-wide physical–biogeochemical model has been developed and used to estimate the biological productivity and export flux in the SCS. The Pacific circulation model, based on the Regional Ocean Model Systems (ROMS), is forced with daily air–sea fluxes derived from the NCEP (National Centers for Environmental Prediction) reanalysis between 1990 and 2004. The biogeochemical processes are simulated with a carbon, Si(OH)4, and nitrogen ecosystem (CoSiNE) model consisting of silicate, nitrate, ammonium, two phytoplankton groups (small phytoplankton and large phytoplankton), two zooplankton grazers (small micrograzers and large mesozooplankton), and two detritus pools. The ROMS–CoSiNE model favourably reproduces many of the observed features, such as Chl a, nutrients, and primary production (PP) in the SCS. The modelled depth-integrated PP over the euphotic zone (0–125 m) varies seasonally, with the highest value of 386 mg C m−2 d−1 during winter and the lowest value of 156 mg C m−2 d−1 during early summer. The annual mean value is 196 mg C m−2 d−1. The model-integrated annual mean new production (uptake of nitrate), in carbon units, is 64.4 mg C m−2 d−1, which yields an f-ratio of 0.33 for the entire SCS. The modelled export ratio (e-ratio: the ratio of export to PP) is 0.24 for the basin-wide SCS. The year-to-year variation of biological productivity in the SCS is weaker than the seasonal variation. The large phytoplankton group tends to dominate over the smaller phytoplankton group, and likely plays an important role in determining the interannual variability of primary and new production.

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