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1 2010 年夏季大连溢油事件期间北黄海漂流浮标移动轨迹的数值模拟峣 1,2,3, 1,2, 1,2, 1,2 (1., ; 2., ; 3., ) 摘要 : 采用双层单向嵌套的普林斯顿大学海洋模式 (POM) 对 2010 年夏季大连溢油事件期间北黄海释放的表层漂流浮标的移动轨迹进行了数值模拟, 模拟结果与实测轨迹基本吻合, 模拟的表层流速纬向和经向分量与观测数据的相关系数在两观测点分别达到了 , 和 , , 均明显大于 95% 置信区间下的显著性临界值 , 但是模拟的浮标移动速度明显慢于观测模拟出的速度时间序列在变化趋势上与实测吻合良好, 但是流速数值相对于观测整体上偏小该数值模拟系统能够较准确地模拟出 2010 年大连溢油事件期间北黄海的流场及漂流浮标的运动趋势, 为北黄海的环境预警灾害评估等相关研究提供有益的参考关键词 : 北黄海 ; 大连溢油 ; 数值模拟 ; 漂流浮标中图分类号 : P731 文献标识码 : A 文章编号 : (2012) ,,,,,,,,,,,, [1] [2] [3] [4] [5] Wei [6], Chao [7] [8] Yanagi [9] [10] [11] Xia [12] ( ),,,, (POM), 1 观测数据和数值模式配置介绍 1.1 观测数据, GPS,,,, M2 ARGOS, 20, :00 39 N, E 1 m, 1.5 m, 8 Q E, N, :00, 44 m, : ; : : ; ( ); ( Q) : 峣 (1980-),,,,, liyao@qdio.ac.cn Marine Sciences / Vol. 36, No. 11 /

2 35 m, 0.5 h, :00 Q E, E, :20, 37 m, 30 m, 0.5 h, :00, SLC9-2 CDMA 6 h,, 1, ETOPO5 4 m, m, POM, [13] [12] Levitus [14] COADS (Comprehensive Ocean-Atmosphere Data Set) [15], NCEP h,, Guo [16] 6 a, 6 5, NCEP h, Fig. 1 1 Model domain and topography 1.2 模式配置 POM ( ) (1 /6) (1 /6), 15 ~45 N, 105 ~135 E, ( ) (1 /24) (1 /24), 37 ~41 N, 117 ~127 E( 2 ) 30, simga : (0.000, 0.017, 0.035, 0.071, 0.107, 0.142, 0.178, 0.214, 0.250, 0.285, 0.321, 0.357, 0.392, 0.428, 0.464, 0.500, 0.535, 0.571, 0.607, 0.642, 0.678, 0.714, 0.750, 0.785, 0.821, 0.857, 0.892, 0.928, 0.964, 1.000) 2 Fig. 2 Current meter and ARGOS deployed locations 2 结果 2.1 观测数据, Q1 Q2, 3 Q1,,, Q2, 2 / 2012 / 36 / 11

3 Fig. 3 3 The time integration of the velocity from current meter , 26,, 7 27,, 7 29,,,, ~8 7 Fig. 4 The trajectory of the ARGOS from 25, Jul., 2010 to 7, Aug., 模式结果 (5 m) ( 5),,,,,,,,, Wei [6] [11],, 5 Butterworth, 40 h (u, ) (v, ) 6 7, Q1, u v , , 95% Q2, u v , , 95% Q1,, u, u,, u (0.6548) u,,, u Q2,,, Q1 Q2,,, Q1 Q2,,, ; Marine Sciences / Vol. 36, No. 11 /

4 m Fig. 5 The monthly averaged velocity of 5 m layer of the model in the North Yellow Sea in July, 2010 Fig. 6 6 Q1 9 m Comparison between the observation and the simulation in the 9 m layer at mooring station Q1 Fig. 7 7 Q2 7 m Comparison between the observation (solid line) and the simulation (dashed line) in the 7m layer at mooring station Q2, Q2,,, (1 /24) (1 /24),, (5 m ) ( 4 / 2012 / 36 / 11

5 8),,, 7 25, 29,,, 7 29,,, 8 8, ~ Fig. 8 Simulated trajectory of the ARGOS from 25, Jul., 2010 to 8, Aug., 结论 POM, Q1 Q2,,,,,,,, 2 d,,, : [1],, 筰. [J]., 1984, 14(2): [2],,. [J]., 1986, 8(5): [3],. [J]. 1989,, 11(1): [4],,, [J]., 2002, 32(3): [5],,. [J]., 1998, 16(1): [6] Wei Hao, Wu Jianping, Thomas P. A simulation on the seasonal variation of the circulation and transport in the Bohai Sea [J].Journal of Oceanography of Huanghai& Bohai Seas, 2001, 19(2): 1-9. [7] Choi B Note on currents driven by a steady uniform wind stress on the Yellow Sea and the East China Sea [J]. La Mer, 1982, 20: [8] Le Kentang, Feng Ming, Wang Yue. A numerical study of the wintertime circulation on the Bohai and Huanghai Seas[J]. Chinese J Oceanol and Limnol, 1993, 11: [9] Yanagi T, Takahashi S. Seasonal variation of the circulations in the East China Sea and the Yellow Sea[J]. J Oceano, 1993, 49: [10], 筰,. [J]., 32(5): [11],,,. [J]., 2003, 21(4): [12] Xia Changshui, Qiao Fangli, Yang Yongzeng, et al. Three dimensional structure of the summer time circulation in the Yellow Sea from a wave-tide-circulation coupled model[j]. J Geophys Res, 111, C11S03, doi: 1029/2005JC [13] Mellor G L, Ezer T, Oey L Y. On the pressure gradient conundrum of sigma-cordinate ocean models[j]. J At- Marine Sciences / Vol. 36, No. 11 /

6 mos, Oceanic Technol, 1994, 11: [14] Levitus S. Climatological Atlas of the world Ocean[C]// NOAA. NOAA Professional Paper 13. Washington, D.C. :U.S. Government Printing Office, 1982: 173. [15] Da Silva A, Young A C, Levitus S. Atlas of surface marine data 1994,Volume 1:Algorithms and procedures[r].u.s. Department of Commerce, Washington, D.C. : NOAA Atlas NESDIS 6,1994. [16] Guo Xinyu, Hukuda H, Miyazawa Y, et al. A triply nested ocean model for simulating the Kuroshio -Roles of horizontal resolution on JEBAR [J]. Journal of Physical Oceanography, 1993, 33(1): The simulation of trajectory of the floatings in the North Yellow Sea during the oil spilling event in Dalian in summer of 2010 LI Yao 1, 2,3, HE Lei 1,2, YUAN Dong-liang 1,2, WANG Zheng 1,2 (1. Institute of Oceanology, the Chinese Academy of Sciences, Qingdao , China; 2. Key Laboratory of Ocean Circulation and Waves, the Chinese Academy of Sciences, Qingdao , China; 3. Graduate University of the Chinese Academy of Sciences, Beijing , China) Received: May,12,2011 Key words: the North Yellow Sea; Dalian oil spilling ;numerical hindcast;satellite tracked surface floating Abstract: A twice nested circulation model system on the basis of the Princeton ocean model (POM) was set up to simulate the satellite tracked surface floating trajectory during oil spilling event in Dalian in summer of 2010, and the model result was compared with observation data. It was indicated that the simulated trajectory agreed well with the observations while the simulated movement of the tracer was a little slower than that of the observed movement. The correlation coefficient of the zonal and meridianal component of surface velocity between simulation and observation were , and , respectively in two observation location, which were all greater than critical correlation coefficient (0.1946) with a 95% of credibility interval. The simulated velocity time series agreed well with the observation in variability but smaller in value. It was suggested that the model system in this study played well in simulating the ARGOS trajectory in the North Yellow Sea during the oil spilling event in Dalian in 2010, which was helpful to the environmental estimation and early warning. ( 本文编辑 : 刘珊珊 ) 6 / 2012 / 36 / 11

720 () 2009,,, , ( ) (6 8 ), ( 5) ( 6).,,119 E, 150 km., 25. 5, 25,., 5b. 3 ROMS 3. 1 ROMS, S,.,,,, [ 9 ]. 1/ 32 ( ),25, 18 s, 180 s

720 () 2009,,, , ( ) (6 8 ), ( 5) ( 6).,,119 E, 150 km., 25. 5, 25,., 5b. 3 ROMS 3. 1 ROMS, S,.,,,, [ 9 ]. 1/ 32 ( ),25, 18 s, 180 s 48 5 2009 9 () Journal of Xiamen University (Natural Science) Vol. 48 No. 5 Sep. 2009 Argos 1, 1, 1 3, 1, 2 (1.,, 361005 ; 2., 361005) :,Argos,( ROMS), 120. 75 E,.,,,,,. :120. 75 E,,( ),,,, 1. 305 10 7