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  • 辛蕾,丁一,王宁,卢博,黄蕊,葛勇.基于遥感的黄海绿潮覆盖面积受表层温盐的影响分析[J].广西科学院学报,2018,34(3):210-215.    [点击复制]
  • XIN Lei,DING Yi,WANG Ning,LU Bo,HUANG Rui,GE Yong.Effect on Green Tide Coverage Area in the Yellow Sea by Surface Water Temperature and Salinity based on Remote Sensing[J].Journal of Guangxi Academy of Sciences,2018,34(3):210-215.   [点击复制]
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基于遥感的黄海绿潮覆盖面积受表层温盐的影响分析
辛蕾, 丁一, 王宁, 卢博, 黄蕊, 葛勇
0
(山东省海洋生态环境与防灾减灾重点实验室, 国家海洋局北海预报中心, 山东青岛 266061)
摘要:
[目的]研究黄海绿潮生长发展环境影响因素。[方法]利用2014-2017年卫星遥感影像提取黄海绿潮覆盖面积,并与同期浮标温度数据对比分析。[结果]绿潮的生命周期有"发生-发展-暴发-衰落-消亡"5个阶段。绿潮的覆盖面积变化随所发生海域的表层水温的升高呈现先上升后下降的走势,在约22℃时绿潮覆盖面积达到最大,其后随着温度上升绿潮逐渐衰亡;与同期浮标盐度数据比较发现,前半期盐度基本稳定在31.5‰,绿潮该段时期内逐渐发展达到最大,之后随着盐度降低绿潮逐渐衰亡。[结论]研究结果与已有实验室研究获得结论基本吻合,可为绿潮灾害防灾预警提供一定参考。
关键词:  绿潮  遥感  覆盖面积  海表温盐
DOI:10.13657/j.cnki.gxkxyxb.20180710.001
投稿时间:2018-01-05
基金项目:国家自然科学基金项目"海洋锋对SAR海浪成像及海浪信息反演的影响"(41376010)资助。
Effect on Green Tide Coverage Area in the Yellow Sea by Surface Water Temperature and Salinity based on Remote Sensing
XIN Lei, DING Yi, WANG Ning, LU Bo, HUANG Rui, GE Yong
(Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao, Shandong, 266061, China)
Abstract:
[Objective] To study the environmental factors affecting the growth and development of the Yellow Sea green tide. [Methods] The coverage area of the Yellow Sea green tide was extracted by satellite remote sensing images from 2014 to 2017, and compared with the buoy temperature data of the same period. [Results] The life cycle of the green tide has five stages, which was appearance, development, burst, fading and disappearance. And the change of the coverage area of green tide presented the trend of first increasing and then decreasing with the rise of the surface water temperature in the sea area. At about 22℃, the area covered by green tide reached the maximum, and then the green tide gradually declined as the temperature increased. Compared with the buoy salinity data of the same period, the salinity of the first half of the year was basically stable at about 31.5‰, and reached the maximum during the period of green tide, and gradually declined as the salinity decreased. [Conclusion] The research results are in good agreement with the conclusions obtained from the existing laboratory research and provide some reference for the disaster prevention and early warning of green tide disasters.
Key words:  green tide  remote sensing  coverage area  sea surface temperature and salinity

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