Long term sea level change and water mass balance in the South China Sea

2009 ◽  
Vol 8 (4) ◽  
pp. 327-334 ◽  
Author(s):  
Zengrui Rong ◽  
Yuguang Liu ◽  
Haibo Zong ◽  
Peng Xiu
2019 ◽  
Vol 38 (11) ◽  
pp. 111-120
Author(s):  
Peng Xia ◽  
Xianwei Meng ◽  
Zhen Li ◽  
Pengyao Zhi ◽  
Mengwei Zhao ◽  
...  

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Bin Wang ◽  
Huaiyan Lei ◽  
Fanfan Huang ◽  
Yuan Kong ◽  
Fulong Pan ◽  
...  

We integrated multiple geochemical analysis of a 13.75 m-long core 973-4 recovered from the northeastern South China Sea (SCS) to detect the response of deep-sea sediment archives to sea-level change spanning the last 42 kyr. The age-depth model based on AMS 14C dating, together with the sediment grain size, shows an occurrence of turbidity current at around 14 kyr, which was associated with submarine landslides caused by gas hydrate dissociation. A dominantly terrigenous sediment input was supplied from southwestern Taiwan rivers. By synthesizing environment-sensitive indexes, four distinct stages of paleoenvironmental evolutions were recognized throughout the studied interval. Well-oxygenated condition occurred during the stage I (42.4-31.8 kyr) with low sea-level stand below -80 m, accompanied by flat terrigenous input. The largest amounts of terrigenous sediment input occurred during the late phase of stage II (31.8-20.4 kyr) with the lowest sea-level stand below -120 m because of a short distance from paleo-Taiwan river estuaries to the core location. An occurrence of Ca-enriched turbidity current disturbed the original sediments during the stage III (20.4-13.9 kyr). The stepwise elevated sea-level stand resulted in an enclosed (semi-enclosed) system and contributed to a relatively low-oxygen environment in deep ocean during the stage IV (13.9 kyr—present). Temporal variations of TOC and CaCO3 display contrary pattern synchronously, indicating a decoupled relationship between organic carbon burial and carbonate productivity. Our results highlight that these sedimentary records as reflected in the paleoenvironmental changes in the northeastern SCS were mainly driven by sea-level fluctuations and later, since the mid-Holocene, the strengthening East Asian summer monsoon (EASM) overwhelmed the stable sea level in dominating the environmental changes.


2018 ◽  
Vol 19 (5) ◽  
pp. 1674-1689 ◽  
Author(s):  
Mingkun Li ◽  
Tingping Ouyang ◽  
Andrew P. Roberts ◽  
David Heslop ◽  
Zhaoyu Zhu ◽  
...  

2016 ◽  
Vol 35 (9) ◽  
pp. 22-33 ◽  
Author(s):  
Ying Xu ◽  
Mingsen Lin ◽  
Quan’an Zheng ◽  
Qingtao Song ◽  
Xiaomin Ye

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shanwei Liu ◽  
Yue Jiao ◽  
Qinting Sun ◽  
Jinghui Jiang

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.


Polar Science ◽  
2008 ◽  
Vol 2 (2) ◽  
pp. 149-161 ◽  
Author(s):  
C.K. Shum ◽  
Chung-yen Kuo ◽  
Jun-yi Guo

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