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Development of prediction system for drifting/diffusion of sea water, sea ice, and spilled oil in the Sea of Okhotsk

鄂霍次克海海水、海冰、溢油漂移/扩散预测系统开发

基本信息

批准号：
17310002
负责人：
OHSHIMA Keiichiro
金额：
$ 10.3万
依托单位：
Hokkaido University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17310002/
关键词：
Sea of Okhotsk East Sakhalin Current Soya Warm Current numerical simulation particle tracking spilled oil sea ice prediction model 海氷予報油汚染水位海鳥サハリン油田海洋レーダー

项目摘要

As the base of prediction for drifting/diffusion of sea water, sea ice and spilled oil in the Okhotsk Sea, 3-dimensional ocean model with the resolution of 1/6 degree was developed. The model is driven by daily wind stress and monthly heat flux. Comparison with surface drifter, moored ADCP, and ocean radar data shows that the model successfully reproduces the velocity field for the East Sakhalin Current (ESC) and Soya Warm Current. The turbulent velocities are represented by random-walk on the assumption of a Markov-chain model. A series of particle tracking experiments was carried out for the case that particles are released from the Sakhalin oil field at depths of 0 m and 15m. Regardless of the deployment month, most particles at depth 15 m are transported southward along the Sakhalin coast, in accordance with the abrupt intensification of the ESC in October, finally arriving offshore of Hokkaido. Particles at the surface, affected by wind drift in addition to the ocean current, show larger yearly variability. In offshoreward-wind dominant years, the particles would be advected out of the mainstream of the current and not be transported offshore of Hokkaido. The ESC is found to play important roles on drifting and spreading of the Amur origin contaminants. A backward-tracking experiment was performed to detect the origin of dead seabirds with oil beaching on the shores of Shiretoko Hokkaido in 2006, suggesting that these birds were transported from the north, possibly east Sakhalin coast via the ESC. Velocities from the tidal simulation model were also included in the particle tracking experiments to better represent the diffusivity. As for the sea ice prediction, the good prediction scheme for the maximum ice extent was developed, using air temperature in the northwest region and sea surface temperature off the Kamtchack Peninsula.

作为鄂霍次克海海水、海冰和溢油漂移扩散预报的基础，建立了分辨率为1/6度的三维海洋模式。该模式由每日风应力和月热通量驱动。与表面漂移，系泊ADCP和海洋雷达数据的比较表明，该模型成功地再现了东萨哈林海流（ESC）和大豆暖流的速度场。湍流速度在马尔可夫链模型的假设下用随机行走表示。针对萨哈林油田0 m和15 m深度处的颗粒释放情况，进行了一系列的颗粒追踪实验。无论部署月份如何，15 m深度处的大多数颗粒都沿着萨哈林海岸向南沿着输送，与10月份ESC的突然增强一致，最终到达北海道近海。在表面的粒子，除了洋流的影响，风漂移，显示出较大的年度变化。在离岸风占主导地位的年份，颗粒物将被平流排出主流，而不是被输送到北海道近海。ESC被发现在阿穆尔源污染物的漂移和扩散中起着重要的作用。2006年，在知床北海道海岸进行了一项反向跟踪实验，以检测死亡海鸟的来源，这表明这些海鸟是从北部，可能是萨哈林岛东海岸通过ESC运输的。潮汐模拟模型的速度也包括在粒子跟踪实验中，以更好地代表扩散率。在海冰预报方面，利用西北地区气温和卡姆查克半岛外海海温，建立了较好的海冰最大范围预报方案。

项目成果

期刊论文数量（0）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

短波海洋レーダおよび沿岸潮位計で観測された宗谷暖流の短周期変動について

短波海洋雷达和沿海验潮仪观测到的大豆暖流的短期波动

DOI：
发表时间：
2007
期刊：
影响因子：
0
作者：
江淵直人;深町康;大島慶一郎;若土正曉
通讯作者：
若土正曉

Detection of coastal polynyas and ice production in the Antarctic and Okhotsk Seas from SSM/I

利用 SSM/I 探测南极和鄂霍次克海沿海冰间湖和产冰量

DOI：
发表时间：
2005
期刊：
Proceedings of IEEE International Geoscience and Remote Sensing Symposium 2005
影响因子：
0
作者：
Ohshima;K.I.;T.Tamura;S.Nihashi
通讯作者：
S.Nihashi

Short-term variations in the Soya Warm Current observed by HF oceanradars and coastal tide gauges

高频海洋雷达和沿海验潮仪观测到的大豆暖流的短期变化