The first tropospheric wind profiler observations of a severe typhoon over a coastal area in South China

Weather ◽  
2015 ◽  
Vol 70 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Lei Li ◽  
Pak Wai Chan ◽  
Honglong Yang ◽  
Rong Zong ◽  
Xia Mao ◽  
...  
Keyword(s):  
South China ◽  
Coastal Area ◽  
Wind Profiler ◽  
Tropospheric Wind

The responses of Spinifex littoreus to sand burial on the coastal area of Pingtan Island, Fujian Province, South China

Ecoscience ◽  
2021 ◽  
pp. 1-10
Author(s):  
Shuang Song ◽  
Jianhui Du ◽  
Qirui Wu ◽  
Mingyang Ni ◽  
Yijia Wang ◽  
...  
Keyword(s):  
South China ◽  
Coastal Area ◽  
Fujian Province ◽  
Sand Burial ◽  
Pingtan Island

scholarly journals AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

2021 ◽  
Vol 10 (5) ◽  
pp. 277
Author(s):  
Xiaoen Li ◽  
Yang Xiao ◽  
Fenzhen Su ◽  
Wenzhou Wu ◽  
Liang Zhou
Keyword(s):  
South China Sea ◽  
South China ◽  
Coastal Area ◽  
Data Sources ◽  
Intensity Data ◽  
Marine Fishery ◽  
Fishing Vessels ◽  
Intensity Information ◽  
Marine Fishery Resources ◽  
Marine Fishing

For the sustainable development of marine fishery resources, it is essential to comprehensively, accurately, and objectively obtain the spatial characteristics and evolution law of fishing intensity. However, previous studies have focused more on the use of single data sources, such as AIS (Automatic Information System) and VBD (VIIRS boat detection), to obtain fishing intensity information and, as such, have encountered some problems, such as insufficient comprehensive data coverage for ships, non-uniform spatial distribution of data signal acquisition, and insufficient accuracy in obtaining fishing intensity information. The development of big data and remote sensing Earth observation technology has provided abundant data sources and technical support for the acquisition of fishing intensity data for marine fisheries. Based on this situation, this paper proposes a framework that integrates the data of fishing vessels from two sources (AIS, with high space-time granularity, and VBD, with short revisit cycle and high sensitivity), in order to obtain such information based on closely matching and fusing the vector point data of ship positions. With the help of this framework and the strategy of indirectly representing fishing intensity by data point density after fusion, the spatial characteristics and rules of fishing intensity in typical seasons (February, April, September, and November) in the northern South China Sea in 2018 were systematically analyzed and investigated. The results revealed the following: (1) Matching and fusing AIS and VBD data can provide a better perspective to produce robust and accurate marine fishery intensity data. The two types of data have a low proximity match rate (approximately 1.89% and 6.73% of their respective inputs) and the matching success for fishing vessels in the data was 49.42%. (2) Single AIS data can be used for nearshore (50 to 70 km) marine fishery analysis research, while VBD data reflect the objective marine fishing in space, showing obvious complementarity with AIS. (3) The fishing intensity grid data obtained from the integrated data show that high-intensity fishing in the study area was concentrated in the coastal area of Maoming City, Guangdong (0–50 km); the coastal area of Guangxi Beihai (10–70 km); around Hainan Island in Zhangzhou (10–30 km); and the Sanya nearshore area (0–50 km). However, it did not decay with increasing offshore distance, such as at the Trans-Vietnamese boundary in the Beibu Gulf, near the China–Vietnam Common Fisheries Area (50 km) and high-intensity fishing areas. (4) The obtained fishing intensity data (AIS, VBD, and AIS + VBD) were quantitatively analyzed, showing that the CV (Coefficient of Variation) of the average for each month (after fusing the two types of data) was 0.995, indicating that the distribution of the combined data was better than that before fusion (before fusion: AIS = 0.879, VBD = 1.642). Therefore, the integration of AIS and VBD can meet the need for a more effective, comprehensive, and accurate fishing intensity analysis in marine fishery resources.

scholarly journals Mercury in the seafood and human exposure in coastal area of Guangdong province, South China

2013 ◽  
Vol 32 (3) ◽  
pp. 541-547 ◽  
Author(s):  
Ping Li ◽  
Xinbin Feng ◽  
Peng Liang ◽  
Hing Man Chan ◽  
Haiyu Yan ◽  
...  
Keyword(s):  
South China ◽  
Coastal Area ◽  
Human Exposure ◽  
Guangdong Province

scholarly journals Impact of changes in land use and climate on the Runoff in the coastal areas of South China—A case study of the Nanliujiang catchment

2018 ◽  
Vol 246 ◽  
pp. 02001
Author(s):  
Mingzhi Yang ◽  
Weihua Xiao ◽  
Yong Zhao ◽  
Ya Huang ◽  
Baoqi Li ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
South China ◽  
Coastal Area ◽  
Swat Model ◽  
Efficiency Coefficient ◽  
Annual Average ◽  
Runoff Depth ◽  
The Impact

The intense climate changes and human activities have a great impact on the variation of the runoff of the coastal area of South China. In this work, the Soil and Water Assessment Tool (SWAT) is used to quantify the impact of land use and climate change of the Nanliujiang catchment on the runoff by setting 4 scenarios of land-use and climate change. The results show the runoff of the simulated and measured values had a similar trend. The value of relevant coefficient is above 0.8, and the value of Nash-Sutcliffe efficiency coefficient is about 0.8, which indicate that the SWAT model is fit for the study area. The annual average runoff depth during the period from 1995 to 2013 has increased by 53.5mm, of which the land use change resulted in 13.0mm increase on the annual average runoff depth while the climate change resulted in 40.9mm increase on the annual average runoff depth, therefore, the climate change has greater effect then the land use change. This work will delineate some helpful information for the water resources management as well as ecological protection in the coastal area of South China.

Study of Crustal Thickness and Poisson's Ratio in the Coastal Area of South China

2014 ◽  
Vol 57 (6) ◽  
pp. 860-871 ◽  
Author(s):  
HUANG Hai-Bo ◽  
GUO Xing-Wei ◽  
XIA Shao-Hong ◽  
QIU Xue-Lin
Keyword(s):  
South China ◽  
Coastal Area ◽  
Poisson’S Ratio ◽  
Crustal Thickness ◽  
Poisson's Ratio
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