| 黄海浒苔漂移输运模式的建立与应用 |
| |
| 引用本文： | 赵昌,尹丽萍,王关锁,乔方利,王刚,夏长水.黄海浒苔漂移输运模式的建立与应用[J].海洋与湖沼,2018,49(5):1075-1083. |
| |
| 作者姓名： | 赵昌 尹丽萍 王关锁 乔方利 王刚 夏长水 |
| |
| 作者单位： | 国家海洋局第一海洋研究所;青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室;国家海洋局海洋环境科学和数值模拟重点实验室;国家海洋局数据分析与应用重点实验室 |
| |
| 基金项目： | 鳌山科技创新计划项目，2016ASKJ02号；国家自然科学基金项目，41506035号。 |
| |
| 摘 要： | 本文利用NCEPGFS预报风场和中国近海高分辨率三维MASNUM海浪-潮流-环流耦合海洋数值预报系统的预报数据,建立黄海浒苔漂移输运模式,用于黄海浒苔溯源和漂移输运数值模拟研究。使用2009年5月份黄海表层漂流浮标数据和2012年MODIS卫星遥感浒苔漂移分布资料对所建立的漂移输运模式进行验证,结果表明所建立的模式能够有效的模拟出浒苔暴发区漂流浮标运动状况,并能够有效地模拟出2012年浒苔漂移输运过程。最后运用所建立的模式开展2008年和2010年浒苔漂移输运过程,模拟结果与文献报道的卫星观测结果一致。模拟结果表明,受海洋表层流影响两年浒苔特征显著不同:2010年浒苔影响海域明显小于2008年,且2010年浒苔主体没有大规模在青岛近岸堆积。
|
| 关 键 词： | 黄海 浒苔 漂移输运模式 数值模拟 |
| 收稿时间： | 2018/4/11 0:00:00 |
| 修稿时间： | 2018/7/24 0:00:00 |
THE MODELLING OF ULVA PROLIFERA TRANSPORT IN THE YELLOW SEA AND ITS APPLICATION |
| |
| ZHAO Chang,YIN Li-Ping,WANG Guan-Suo,QIAO Fang-Li,WANG Gang and XIA Chang-Shui.THE MODELLING OF ULVA PROLIFERA TRANSPORT IN THE YELLOW SEA AND ITS APPLICATION[J].Oceanologia Et Limnologia Sinica,2018,49(5):1075-1083. |
| |
| Authors: | ZHAO Chang YIN Li-Ping WANG Guan-Suo QIAO Fang-Li WANG Gang and XIA Chang-Shui |
| |
| Institution: | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China,The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China,The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China,The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China,The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China;Key Laboratory of Data Analysis and Applications, State Oceanic Administration, Qingdao 266061, China and The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China |
| |
| Abstract: | The NCEP GFS wind forecasted data and a high-resolution three-dimensional surface wave-tide-circulation coupled ocean forecast system for the China seas were used to establish a transport model for Ulva prolifera blooms in the Yellow Sea. To validate the model, drift paths of five Argos floats in 2009 and the MODIS data were compared with the model predictions. Comparison results show that the developed transport model can accurately reproduce the drift path of five Argos with a very small bias. The model was then used to study the transport and spatial distributions of U. prolifera bloom in 2012, and reproduced a good transport pattern. The simulated drift process and spatial distribution of U. prolifera blooms in 2008 and 2010 are consistent with the satellite observations:The spreading area of U. prolifera bloom in 2010 is smaller than that of 2008, and the bloom did not accumulate along the coast of Qingdao, which has been confirmed by the observations. |
| |
| Keywords: | the Yellow Sea Ulva prolifera bloom transport model numerical simulation |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《海洋与湖沼》浏览原始摘要信息 |
| 点击此处可从《海洋与湖沼》下载免费的PDF全文 |
|
