南极海冰导热系数优化辨识

The Identification and Optimization for Thermal Conductivity of the Antarctic Sea Ice

根据我国第22次南极科学考察现场调查数据,建立了辨识海冰导热系数的参数辨识模型,依据海冰导热系数依赖于其温度盐度的变化关系,拟合得到了三种海冰导热系数依赖于温度盐度的函数关系.通过遗传算法对该优化辨识模型进行了数值求解,用辨识出的最优导热系数与目前通用的海冰导热系数经验公式分别对我国第21次南极科学考察观测温度数据进行数值模拟,模拟结果表明本文构造的辨识模型是正确有效的,辨识结果可供南极海冰数值模拟者参考.

Based on insitu data of sea ice observed in the 22nd Chinese Antarctic Expedition,this paper establishes an optimal control model about distributed parameter system to identify sea ice thermal conductivity.And according to the relationship between thermal conductivity and sea ice temperature and salinity,three functions of thermal conductivity dependent on temperature and salinity are fitted.The control model is solved though the genetic algorithm.Using the in situ temperature from the 21st Chinese Antarctic Expedition,the vertical temperature profiles are simulated and compared by applying the optimal function identified above and traditional formula for sea ice thermal conductivity respectively.The results show that the optimal control model established in the paper is exact and effective.Also the simulation results could supply some reference for other researchers.