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引用本文:韩君君,黄惠明,张薇娜,林伟波.2018年黄海浒苔分布特征及动力机制分析[J].海洋科学,2020,44(6):37-44.
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2018年黄海浒苔分布特征及动力机制分析
韩君君1, 黄惠明1, 张薇娜1, 林伟波2
1.河海大学 港口海岸与近海工程学院, 江苏 南京 210098;2.江苏省海涂研究中心, 江苏 南京 210098
摘要:
为揭示2018年黄海浒苔发生和聚集的动力学成因,通过MODIS L1B影像数据和归一化植被指数法(NDVI)获取浒苔发生的初始时刻和位置。以三维水流动力模型为基础,设立风海流、潮流以及二者共同作用的对照实验,分析各要素对浒苔粒子输移的影响。结果表明,在风海流单独作用下,浒苔向北迁移但未登陆;在潮流动力单独驱动下,浒苔净漂移量小,较难向北发生净输移;二者共同作用下,浒苔粒子向北输移登陆,后报轨迹与遥感图像对比吻合良好,进一步验证了风在浒苔迁移过程中占主导作用。
关键词:  浒苔  遥感监测  NDVI  动力模型  漂移路径
DOI:10.11759/hykx20191016002
分类号:P76
基金项目:国家自然科学基金项目(51979096)
Distribution characteristics and dynamic mechanism of Enteromorpha prolifera in the Yellow Sea in 2018
HAN Jun-jun1, HUANG Hui-ming1, ZHANG Wei-na1, LIN Wei-bo2
1.College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China;2.Tidal Flat Research Center of Jiangsu Province, Nanjing 210098, China
Abstract:
In recent years, Enteromorpha prolifera outbreaks have become frequent in the Yellow Sea in summer. These outbreaks severely affect the coastal ecological environment and cause huge social and economic losses. In this study, MODIS L1B image data and Normalized Difference Vegetation Index method (NDVI) were used to obtain the initial time and position of Enteromorpha prolifera. Using a three-dimensional hydrodynamic model, a controlled experiment of wind current and tidal current and their combined effects was performed to analyze the influence of various factors on the transport of Enteromorpha prolifera. The results show that Enteromorpha prolifera particles drift ashore northward over a large distance and do not land only under the force of winds. When the weather condition is dominated by tidal current power, the net drift of Enteromorpha prolifera particles is small, and it northward movement is difficult. Enteromorpha prolifera particles drift ashore northward and land under the combined force of winds and tides. The drift trail in the hindcast is in good agreement with the remote-sensing images, and the wind played a dominant role in the migration process.
Key words:  Enteromorpha prolifera  remote sensing monitoring  Normalized Difference Vegetation Index (NDVI)  dynamic model  drifting path
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