Frasnian–Tournaisian (Late Devonian to Earliest Carboniferous) lithostratigraphy and biostratigraphy of Hainan Island, South China

2021 ◽  
Author(s):  
Hua‐Zhou Yao ◽  
Ren‐Jie Zhang ◽  
Zhi‐Jun Niu ◽  
Bing Tu ◽  
Zhi‐Hong Wang ◽  
...  
2019 ◽  
Vol 131 (9-10) ◽  
pp. 1519-1536 ◽  
Author(s):  
Xinchang Zhang ◽  
Yuejun Wang ◽  
Ron Harris ◽  
Yi Yan ◽  
Yi Zheng

Abstract Whether the driver of the Indosinian orogeny in the South China block was related to the evolution of the Paleotethyan Ocean or the Paleo-Pacific Ocean has been a point of much debate. We applied detrital zircon U-Pb dating to Permian–Triassic sedimentary rocks from South China to trace sediment provenance and to further test these models. Our results, combined with other published data from the Pingxiang, Youjiang, Yong’an, and Yongding Basins, show that 400–350 Ma and 300–260 Ma zircon grains are ubiquitous throughout the entirety of southern South China. This indicates regional magmatic events as potential sources. The discovery of Middle–Late Devonian and Early Permian igneous rocks, tuffs, and volcaniclastic rocks in Southeast Asia and Hainan Island implies the presence of two magmatic events (400–350 Ma and 300–260 Ma) within or beyond the southern margin of South China. This information, together with the mostly negative εHf(t) values of 400–350 Ma and 300–260 Ma zircon grains, arc-like geochemical signatures of the possible source rocks, and the regional geology of East Asia, suggests that they originated from sources related to Paleotethyan and even Proto-Tethyan subduction. Thus, Permian–Triassic sedimentation and the Indosinian orogeny in South China were largely controlled by the evolution of the Tethyan Ocean.


Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 766
Author(s):  
Yi Jiang ◽  
Shuai Han ◽  
Chunxiang Shi ◽  
Tao Gao ◽  
Honghui Zhen ◽  
...  

Near-surface wind data are particularly important for Hainan Island and the South China Sea, and there is a wide range of wind data sources. A detailed understanding of the reliability of these datasets can help us to carry out related research. In this study, the hourly near-surface wind data from the High-Resolution China Meteorological Administration (CMA) Land Data Assimilation System (HRCLDAS) and the fifth-generation ECMWF atmospheric reanalysis data (ERA5) were evaluated by comparison with the ground automatic meteorological observation data for Hainan Island and the South China Sea. The results are as follows: (1) the HRCLDAS and ERA5 near-surface wind data trend was basically the same as the observation data trend, but there was a smaller bias, smaller root-mean-square errors, and higher correlation coefficients between the near-surface wind data from HRCLDAS and the observations; (2) the quality of HRCLDAS and ERA5 near-surface wind data was better over the islands of the South China Sea than over Hainan Island land. However, over the coastal areas of Hainan Island and island stations near Sansha, the quality of the HRCLDAS near-surface wind data was better than that of ERA5; (3) the quality of HRCLDAS near-surface wind data was better than that of ERA5 over different types of landforms. The deviation of ERA5 and HRCLDAS wind speed was the largest along the coast, and the quality of the ERA5 wind direction data was poorest over the mountains, whereas that of HRCLDAS was poorest over hilly areas; (4) the accuracy of HRCLDAS at all wind levels was higher than that of ERA5. ERA5 significantly overestimated low-grade winds and underestimated high-grade winds. The accuracy of HRCLDAS wind ratings over the islands of the South China Sea was significantly higher than that over Hainan Island land, especially for the higher wind ratings; and (5) in the typhoon process, the simulation of wind by HRCLDAS was closer to the observations, and its simulation of higher wind speeds was more accurate than the ERA5 simulations.


2013 ◽  
Vol 56 (11) ◽  
pp. 1934-1941
Author(s):  
RenJie Zhang ◽  
HuaZhou Yao ◽  
JianXiong Wang ◽  
Bing Tu

2017 ◽  
Vol 125 (1-2) ◽  
pp. 513-521 ◽  
Author(s):  
Zhijian Jiang ◽  
Songlin Liu ◽  
Jingping Zhang ◽  
Chunyu Zhao ◽  
Yunchao Wu ◽  
...  

2017 ◽  
Vol 66 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Hua Zhang ◽  
Songhui Lu ◽  
Yang Li ◽  
Jingyi Cen ◽  
Hualong Wang ◽  
...  

2014 ◽  
Vol 57 ◽  
pp. 351-362 ◽  
Author(s):  
Jinjie Yu ◽  
Jingwen Mao ◽  
Fuxiong Chen ◽  
Yonghui Wang ◽  
Linrui Che ◽  
...  

Chemosphere ◽  
2019 ◽  
Vol 215 ◽  
pp. 133-141 ◽  
Author(s):  
Ling Mo ◽  
Jing Zheng ◽  
Ting Wang ◽  
Yun-Gang Shi ◽  
Biao-Juan Chen ◽  
...  

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