scholarly journals The distribution characteristics of Sb and As in the surface sediment from the Yellow Sea and the coastal areas of Korea

2003 ◽  
Vol 12 (10) ◽  
pp. 1121-1129 ◽  
2010 ◽  
Vol 30 (7) ◽  
pp. 743-751 ◽  
Author(s):  
Jian-Bing Li ◽  
Gui-Ling Zhang ◽  
Jing Zhang ◽  
Su-Mei Liu ◽  
Jing-Ling Ren

2020 ◽  
Author(s):  
Xiaoxia Sun

<p>Plastic pollution is a globally concerning issue in marine environments. There is currently little research about the seasonal changes in microplastics in coastal areas. Here, we report a seasonal study on the concentrations and characteristics of microplastics in the surface seawater and zooplankton of Jiaozhou Bay, a typical bay in the west Yellow Sea. The concentrations of microplastics in the surface water of Jiaozhou Bay were 0.063, 0.174, 0.094, and 0.050 pieces/m<sup>3 </sup>in February, May, August and November, respectively, with an annual average concentration of 0.095 pieces/m<sup>3</sup>, a low value compared with the plastic concentrations of other coastal areas. The size of the collected microplastics ranged from 346 to 155200 μm, with an average of 5093 μm. The overall percentages of fibers, fragments and plastic foams were 29%, 55% and 16%, respectively. Fragments were the most dominant shape in four seasons. Nine plastic polymers were detected from the surface water of Jiaozhou Bay. The dominant chemical composition was polypropylene (PP), accounting for 51.04% of polymers, followed by polyethylene (PE), accounting for 26.04% of polymers. The seasonal variation of plastic characteristics in Jiaozhou Bay, including the shape, color and chemical composition, was significant. The highest concentration of plastics occurred in May and the lowest concentration of plastics occurred in November. Strong rainfall resulted in an increase in the plastic concentration in May, and winds and eddies affected the spatial distribution of plastics in Jiaozhou Bay. Focused on the dominant zooplankton groups in Jiaozhou Bay, the morphology, color, size, chemical composition and quantity of MPs in zooplankton were investigated in Jiaozhou Bay. The results showed that the MPs in zooplankton of the Jiaozhou Bay were dominated by fibers. The proportions of fiber in February, May, August and November were 91%, 88%, 89% and 88%, respectively. The average size of MPs in zooplankton was 441±2, 468±2, 576±2, and 379±4μm in the four seasons. For the 2 common zooplankton groups in the 4 seasons, the MP/zooplankton was 0.3, 0.26, 0.17, 0.19 for copepod, and 0.22, 0.19, 0.17, 0.45 for chaetognath, respectively.</p>


2021 ◽  
Vol 299 ◽  
pp. 01012
Author(s):  
Lei Qiu ◽  
Ying Cao ◽  
Jingyi Huang

In view of the increased vulnerability of water resources system caused by seawater intrusion in the coastal areas of the Yellow Sea and Bohai Sea, this paper based on the VSD(Vulnerability Scoping Diagram) model to construct the water resource vulnerability evaluation index system of “exposure-sensitivity-adaptive capacity” under seawater intrusion. Then use entropy-TOPSIS method to evaluate water resource vulnerability and divide the levels. In addition, take Longkou City of Shandong Province as an example to conduct empirical research. The results show that the water resource vulnerability of Longkou City is at a strong vulnerability level. The water resources system is under obvious pressure. Population density, per capita GDP, temperature and precipitation change are the main factors of the system pressure. Seawater intrusion has a high degree of impact on water resources vulnerability and water resource system is more sensitive to groundwater level, chloride concentration and other stimuli. The improvement of water use efficiency and scientific and technological investment contribute to the significant enhancement of the adaptability of the water resources system of Longkou City.


2012 ◽  
Vol 171 ◽  
pp. 216-225 ◽  
Author(s):  
Seongjin Hong ◽  
Jong Seong Khim ◽  
Jonathan E. Naile ◽  
Jinsoon Park ◽  
Bong-Oh Kwon ◽  
...  

2020 ◽  
Vol 161 ◽  
pp. 111656
Author(s):  
Zengmei Li ◽  
Xiaoyu Fan ◽  
Yingdi Mu ◽  
Ling Wang ◽  
Jingyun Liang ◽  
...  

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