Spatio-temporal variations of sea surface halocarbon concentrations and fluxes from southern Yellow Sea

2014 ◽  
Vol 121 (2) ◽  
pp. 369-388 ◽  
Author(s):  
Gui-Peng Yang ◽  
Bin Yang ◽  
Xiao-Lan Lu ◽  
Hai-Bing Ding ◽  
Zhen He
Keyword(s):  
Yellow Sea ◽  
Temporal Variations ◽  
Sea Surface ◽  
Southern Yellow Sea ◽  
Spatio Temporal

scholarly journals Influence of Sea Surface Temperature on Outbreak of Ulva prolifera in the Southern Yellow Sea, China

2020 ◽  
Vol 30 (4) ◽  
pp. 631-642
Author(s):  
Guangzong Zhang ◽  
Mengquan Wu ◽  
Anding Zhang ◽  
Qianguo Xing ◽  
Min Zhou ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Ulva Prolifera ◽  
Sea Surface ◽  
Southern Yellow Sea ◽  
The Southern Yellow Sea

scholarly journals Temporal variations of dimethylsulfide and dimethylsulfoniopropionate in the southern Yellow Sea in spring and autumn

2016 ◽  
Vol 35 (2) ◽  
pp. 76-87 ◽  
Author(s):  
Jian Yang ◽  
Guipeng Yang ◽  
Honghai Zhang ◽  
Shenghui Zhang
Keyword(s):  
Yellow Sea ◽  
Temporal Variations ◽  
Southern Yellow Sea ◽  
The Southern Yellow Sea

Grain-size related nitrogen distribution in southern Yellow Sea surface sediments

2005 ◽  
Vol 23 (3) ◽  
pp. 306-316 ◽  
Author(s):  
Lü Xiaoxia ◽  
Song Jinming ◽  
Yuan Huamao ◽  
Li Xuegang ◽  
Zhan Tianrong ◽  
...  
Keyword(s):  
Grain Size ◽  
Yellow Sea ◽  
Surface Sediments ◽  
Sea Surface ◽  
Southern Yellow Sea ◽  
Nitrogen Distribution

Spatio-temporal variations of sea surface temperature in the Banda Sea during the period of 2002-2008

2017 ◽  
Author(s):  
Iskhaq Iskandar ◽  
Wijaya Mardiansyah ◽  
Dedi Setiabudidaya ◽  
Muhammad Irfan ◽  
Pradanto Poerwono
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Temporal Variations ◽  
Sea Surface ◽  
Spatio Temporal

scholarly journals Identifying the spatio-temporal variations of Ulva prolifera disasters in all life cycle

2021 ◽  
Author(s):  
Baowei Zhang ◽  
Jianzhong Guo ◽  
Ziwei Li ◽  
Yi Cheng ◽  
Yao Zhao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Life Cycle ◽  
Yellow Sea ◽  
Remote Sensing Data ◽  
Temporal Variations ◽  
Ulva Prolifera ◽  
The Yellow Sea ◽  
Sensing Data ◽  
Spatio Temporal ◽  
Sea Area

Abstract Since 2007, Ulva prolifera disasters have occurred every year in the South Yellow Sea of China, the largest green tide disaster in the world. The inter-annual differences make such disasters monitoring and early warning difficult. This study used remote sensing data (2015–2019) to determine its spatio-temporal variations in all life cycle. The results showed a lay effect between the NDVI-mean and the coverage area of U. prolifera. The spatio-temporal distribution of U. prolifera showed stages and regional differences. From late April to early May, U. prolifera first emerged near the Subei Shoal. After development in the middle of the Yellow Sea, U. prolifera outbroke in the eastern sea area of Shandong and Jiangsu, declined in the Shandong sea area, and disappeared near Qingdao. The cycle lasted for approximately 90 days. The sea surface temperature was the necessary condition for the disaster, and the sea wind field was the main driving force for its horizontal drift. This study overcomes the poor timing and continuity of remote sensing data in the monitoring of U. prolifera. It provides a theoretical reference for forecasting the outbreak period of U. prolifera and can aid policy-makers to avert such disasters in advance.

scholarly journals Spatio-temporal variability in sea surface temperatures for the Yellow Sea based on MODIS dataset

2017 ◽  
Vol 52 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Chunli Liu ◽  
Qiwei Sun ◽  
Qianguo Xing ◽  
Zhenlin Liang ◽  
Yue Deng ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Temporal Variability ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Sea Surface Temperatures ◽  
Surface Temperatures ◽  
Spatio Temporal
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