渤海风场的概率预测模型研究
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摘要
风是海上溢油迁移扩散的关键动力因素之一,溢油区风场的精确预报是油膜漂移轨迹预测的基础。本文对渤海的历史风资料进行了相关分析,根据不同区域风的相关性和不同时段风的差异性,分别进行了渤海风的区域划分和时段划分;根据风在每两个指定方向转换的概率和风的平均持续时间,建立了渤海风场的概率预测模型。该预测模型生成的随机风时间序列能体现出历史风场的能量水平、周期性和方向变化,且与相应历史时期风资料的统计参数吻合良好,可为高精度海面溢油预报提供动力基础,也可为其他相关海洋动力学计算提供参考。
Wind is one of the key dynamic factors for the drift and diffusion of oil spill in ocean.Accurate prediction of the wind field in the oil spill area is the basis of the forecast of oil slick transport. This paper analyzes the historical wind data of the Bohai Sea.According to the correlation of different regional wind and the difference of wind in different periods,the regional division and time division of Bohai wind are respectively carried out.According to the probability with which the wind changed between two specified directions and the mean duration of a wind event,the probability prediction model of wind field in Bohai Sea is established.The statistical parameters of the stochastic wind time series generated by the prediction model that contained a similar energy level,periodicity,and direction variability to the archived wind data are in good agreement with that of the wind data of corresponding historical period.It is a good foundation for increasing the accuracy of oi1 spill predicting and modeling,and is also a reference for other computing in ocean hydrodynamics.
Wind is one of the key dynamic factors for the drift and diffusion of oil spill in ocean.Accurate prediction of the wind field in the oil spill area is the basis of the forecast of oil slick transport. This paper analyzes the historical wind data of the Bohai Sea.According to the correlation of different regional wind and the difference of wind in different periods,the regional division and time division of Bohai wind are respectively carried out.According to the probability with which the wind changed between two specified directions and the mean duration of a wind event,the probability prediction model of wind field in Bohai Sea is established.The statistical parameters of the stochastic wind time series generated by the prediction model that contained a similar energy level,periodicity,and direction variability to the archived wind data are in good agreement with that of the wind data of corresponding historical period.It is a good foundation for increasing the accuracy of oi1 spill predicting and modeling,and is also a reference for other computing in ocean hydrodynamics.
引文
[1]ELLIOTT A J.A probabilistic description of the wind over Liverpool Bay with application to oil spill simulations[J].Estuarine,Coastal and Shelf Science,2004,61(4):569-581.
[2]MORONI D,PIERI G,SALVETTI O,et al.Sensorized buoy for oil spill early detection[J].Methods in Oceanography,2016,17:221-231.
[3]WANG S D,SHEN Y M,GUO Y K,et al.Three-dimensional numerical simulation for transport of oil spills in seas[J].Ocean Engineering,2008,35(5/6):503-510.
[4]LARGE W G,POND S.Open ocean momentum flux measurements in moderate to strong winds[J].Journal of Physical Oceanography,1981,11(3):324-336.
[5]ELLIOTT A J.EUROSPILL:Oceanographic processes and NWEuropean shelf databases[J].Marine Pollution Bulletin,1991,22(11):548-553.
[6]JONES B.The use of numerical weather prediction model output in spill modelling[J].Spill Science&Technology Bulletin,1999,5(2):153-159.
[7]DE DOMINICIS M,BRUCIAFERRI D,GERIN R,et al.A multimodel assessment of the impact of currents,waves and wind in modelling surface drifters and oil spill[J].Deep Sea Research Part II:Topical Studies in Oceanography,2016,133:21-38.
[8]GUO W J,WANG Y X,XIE M X,et al.Modeling oil spill trajectory in coastal waters based on fractional Brownian motion[J].Marine Pollution Bulletin,2009,58(9):1339-1346.
[9]王金华,沈永明.适用于复杂地形海域的溢油模拟系统[J].中国科学:技术科学,2010,40(11):1367-1377.
[10]GUO W J,WANG Y X.A numerical oil spill model based on a hybrid method[J].Marine Pollution Bulletin,2009,58(5):726-734.
[11]匡翠萍,谢华浪,苏平,等.蓬莱19-3溢油运移与归宿数值模拟和分析[J].同济大学学报:自然科学版,2016,44(10):1585-1594.
[12]濮鸣锋,杨红,张午.东吾洋关门渔港邻近海域溢油模拟分析[J].海洋环境科学,2017,36(1):121-128.
[13]石慧,蔡旭晖,宋宇.中国近海海面风场的分类[J].北京大学学报:自然科学版,2011,47(2):353-362.
[14]季亮,谭洪卫,王亮.基于马尔可夫链的自然风风向建模[J].中南大学学报:自然科学版,2012,43(8):3274-3279.
[2]MORONI D,PIERI G,SALVETTI O,et al.Sensorized buoy for oil spill early detection[J].Methods in Oceanography,2016,17:221-231.
[3]WANG S D,SHEN Y M,GUO Y K,et al.Three-dimensional numerical simulation for transport of oil spills in seas[J].Ocean Engineering,2008,35(5/6):503-510.
[4]LARGE W G,POND S.Open ocean momentum flux measurements in moderate to strong winds[J].Journal of Physical Oceanography,1981,11(3):324-336.
[5]ELLIOTT A J.EUROSPILL:Oceanographic processes and NWEuropean shelf databases[J].Marine Pollution Bulletin,1991,22(11):548-553.
[6]JONES B.The use of numerical weather prediction model output in spill modelling[J].Spill Science&Technology Bulletin,1999,5(2):153-159.
[7]DE DOMINICIS M,BRUCIAFERRI D,GERIN R,et al.A multimodel assessment of the impact of currents,waves and wind in modelling surface drifters and oil spill[J].Deep Sea Research Part II:Topical Studies in Oceanography,2016,133:21-38.
[8]GUO W J,WANG Y X,XIE M X,et al.Modeling oil spill trajectory in coastal waters based on fractional Brownian motion[J].Marine Pollution Bulletin,2009,58(9):1339-1346.
[9]王金华,沈永明.适用于复杂地形海域的溢油模拟系统[J].中国科学:技术科学,2010,40(11):1367-1377.
[10]GUO W J,WANG Y X.A numerical oil spill model based on a hybrid method[J].Marine Pollution Bulletin,2009,58(5):726-734.
[11]匡翠萍,谢华浪,苏平,等.蓬莱19-3溢油运移与归宿数值模拟和分析[J].同济大学学报:自然科学版,2016,44(10):1585-1594.
[12]濮鸣锋,杨红,张午.东吾洋关门渔港邻近海域溢油模拟分析[J].海洋环境科学,2017,36(1):121-128.
[13]石慧,蔡旭晖,宋宇.中国近海海面风场的分类[J].北京大学学报:自然科学版,2011,47(2):353-362.
[14]季亮,谭洪卫,王亮.基于马尔可夫链的自然风风向建模[J].中南大学学报:自然科学版,2012,43(8):3274-3279.