Shoreline migration paths and depositional architecture of early–mid Miocene deltaic clinoforms in response to sea‐level changes in the north‐eastern shelf margin, South China Sea

Sedimentology ◽  
2021 ◽  
Author(s):  
Xin Zhang ◽  
Changsong Lin ◽  
Zhongtao Zhang ◽  
Xuan Feng ◽  
Bo Zhang ◽  
...  
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
Sea Level Changes ◽  
China Sea ◽  
The North ◽  
North Eastern ◽  
Eastern Shelf ◽  
Depositional Architecture ◽  
Shelf Margin

Coralline algal assemblages record Miocene sea-level changes in the South China Sea

2021 ◽  
Vol 584 ◽  
pp. 110673
Author(s):  
Yinqiang Li ◽  
Kefu Yu ◽  
Lizeng Bian ◽  
Yeman Qin ◽  
Weihua Liao ◽  
...  
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
The South China Sea ◽  
Sea Level Changes ◽  
The South ◽  
China Sea ◽  
Algal Assemblages

Copepod community structure over a marine outfall area in the north-eastern South China Sea

2008 ◽  
Vol 88 (5) ◽  
pp. 955-966 ◽  
Author(s):  
Li-Chun Tseng ◽  
Ram Kumar ◽  
Hans-Uwe Dahms ◽  
Chun-Te Chen ◽  
Sami Souissi ◽  
...  
Keyword(s):  
South China Sea ◽  
Relative Abundance ◽  
South China ◽  
Environmental Changes ◽  
China Sea ◽  
The North ◽  
Copepod Abundance ◽  
Marine Outfall ◽  
North Eastern ◽  
The Taiwan Strait

This study focuses on the dynamics of copepod abundances and species composition in the upper water column of a marine outfall area Tso-Ying (T-Y) in the boundary waters of the north-eastern South China Sea and the Taiwan Strait as an example. Zooplankton samples were collected in March, June and September 2002. Mean copepod abundance at all stations ranged from a minimum of 9.4 (individuals m−3) in March to a maximum of 1685 (individuals m−3) in June. A total of 66 copepod species belonging to 31 genera and 19 families were identified during three cruises. Copepod assemblages were dominated byTemora turbinatawhich occurred in >97% samples with a relative abundance of 75.46% combining all three sampling cruises. The ordination diagram derived from non-metric multidimensional scaling separated samples on the basis of season and revealed that different sampling stations clustered differently during each cruise. The second and third most dominant species wereAcrocalanus gracilisandAcrocalanus gibber, representing 1.73% and 1.65% of the total copepod abundance respectively. The outfall area studied here correlates with lower copepod densities represented by a few species that show a higher relative abundance in comparison with non-affected areas. We provide here the first example where plankton assemblages indicate useful information about environmental changes in the course of sewage disposal at a stable outlet site.

Reef-carbonate diagenesis in the Pleistocene–Holocene of the well Xike#1, Xisha Islands, South China Sea: implications on sea-level changes

2019 ◽  
Vol 34 (4) ◽  
pp. 1669-1687 ◽  
Author(s):  
Na Liu ◽  
Zhen-feng Wang ◽  
Xu-shen Li ◽  
Li Liu ◽  
Dao-jun Zhang ◽  
...  
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
Carbonate Diagenesis ◽  
Sea Level Changes ◽  
Xisha Islands ◽  
China Sea

scholarly journals Radiocarbon Profiles of Rocky Islet, Xi-Sha Islands: Evidence of Recent Crustal Movements in the South China Sea

Radiocarbon ◽  
1983 ◽  
Vol 25 (2) ◽  
pp. 375-379 ◽  
Author(s):  
Chen Yee-Chein ◽  
Jiao Wen-Qiang
Keyword(s):  
South China Sea ◽  
Coral Reefs ◽  
Sea Level ◽  
South China ◽  
Granite Gneiss ◽  
The South China Sea ◽  
Sea Level Changes ◽  
The South ◽  
Crustal Movements ◽  
China Sea

The Xi-Sha Islands comprise 35 coral reefs, cays, and islets lying to the northwest of the South China Sea. Since Miocene time, > 1200m of bioherms developed on slowly subsiding granite-gneiss bed rock. These sediments provide evidence for sea-level changes and crustal movements in the South China Sea.

scholarly journals Estimation of Sea Level Change in the South China Sea from Satellite Altimetry Data

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shanwei Liu ◽  
Yue Jiao ◽  
Qinting Sun ◽  
Jinghui Jiang
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
The South China Sea ◽  
Sea Level Changes ◽  
The South ◽  
Short Term ◽  
Combined Model ◽  
China Sea ◽  
Level Change

The South China Sea is China’s largest marginal sea area, and it is rich in oil and gas mineral resources; thus, estimating its sea level changes is of practical significance. Based on linear and nonlinear sea level change characteristics, this paper decomposes 1992–2019 monthly mean sea level anomaly time series in the South China Sea into trend, seasonal, and random terms. This paper compares the seasonal autoregressive integrated moving average (SARIMA) and Prophet models for estimating the trend and seasonal terms and the long short-term memory (LSTM) and radial basis function (RBF) models for estimating random terms, and the more suitable models were selected. A Prophet-LSTM combined model was developed based on the accuracy results. This paper uses the combined model to study the effect of known data length on the experimental results and determines the best prediction duration. The results show that the combined model is suitable for short-term and medium-term estimations of 12–36 months. The accuracy at 36 months is 0.962 cm, which proves that the combined model has high application value for estimating sea level changes in the South China Sea.

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