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作 者:ZHAO Qiang HU Xiaomin Lue Xianqing XIONG Xuejun YANG Bo
机构地区:[1]Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266003, P. R. China [2]First Institute of Oceanography State Oceanic Administration, Key Laboratory of Marine Environmental Science and Numerical Modeling, Qingdao 266061, P. R. China
出 处:《Journal of Ocean University of China》2007年第4期339-344,共6页中国海洋大学学报(英文版)
摘 要:A two-layer pollutant advection-diffusion model is built to investigate the pollutant transport in the sea area around Maidao off Qingdao coast. An adjoint data assimilation technique is applied to estimate the optimal values of the model parameters. The experimental results on the initial field of pollutant indicate that the distribution of Chemical Oxygen Demand (COD) concentra- tion is sensitive to the horizontal eddy diffusivity. An appropriate value of horizontal eddy diffusivity is necessary in order to depict the influence of the initial field precisely, and it is also essential to the simulation of the advection-diffusion process of the pollutant. By inversion of the model parameters and optimization of the initial COD concentrations, the simulation results are improved sig- nificantly. The cost function is reduced to 40% of its first step value. The average misfit between the model outputs and the observa- tions in the upper layer decreases from 0.46 to 0.25 mg L-1, and that in the lower layer decreases from 0.22 to 0.14 mg L-1.A two-layer pollutant advection-diffusion model is built to investigate the pollutant transport in the sea area around Maidao off Qingdao coast. An adjoint data assimilation technique is applied to estimate the optimal values of the model parameters. The experimental results on the initial field of pollutant indicate that the distribution of Chemical Oxygen Demand (COD) concentration is sensitive to the horizontal eddy diffusivity. An appropriate value of horizontal eddy diffusivity is necessary in order to depict the influence of the initial field precisely, and it is also essential to the simulation of the advection-diffusion process of the pollutant. By inversion of the model parameters and optimization of the initial COD concentrations, the simulation results are improved significantly. The cost function is reduced to 40% of its first step value. The average misfit between the model outputs and the observations in the upper layer decreases from 0.46 to 0.25 mg L^-1, and that in the lower layer decreases from 0.22 to 0.14mg L^-1.
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