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首页> 外文期刊>Journal of Advanced Simulation in Science and Engineering >Parameter optimization of a 3D coastal model using Green's functions for modelling river plume dynamics
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Parameter optimization of a 3D coastal model using Green's functions for modelling river plume dynamics

机译:使用格林函数对河羽动力学建模的3D海岸模型参数优化

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River plumes flowing into channels with strong tidal currents cause pulsed decreases in the salinity around the river mouth. This study constructs a numerical model for reproducing the river plumes of Asahi and Yoshii Rivers flowing into Bisan Seto, a tidal channel in the Seto Inland Sea. Recently inverse estimation of the model parameters using Green's functions has been applied to numerical modelling of sea shelves as a simple and effective method of parameter optimization. This paper examines the method that aims to improve the precision of the model results, but uses a model domain (ca. 50 km) that is much smaller than in previous studies. The reproducibility of the tidal elevations and currents was improved significantly by the parameter optimization procedures. The reproducibility of the temporal changes in salinity was also improved, although they showed strong nonlinearity. These results indicate that the inverse estimation of model parameters using Green's functions can greatly improve the reproducibility of the modelling of river plumes flowing into tidal channels.
机译:流入强潮流河道的河羽导致河口周围盐度的脉冲下降。本研究构建了一个数值模型,用于再现流入濑户内海潮汐道比散濑户的朝日河和吉井河的河羽。最近,使用格林函数对模型参数进行逆估计已作为一种简单有效的参数优化方法应用于海架的数值模拟。本文研究了旨在提高模型结果精度的方法,但是所使用的模型域(约50 km)比以前的研究要小得多。通过参数优化程序,潮汐高程和洋流的可重复性得到了显着改善。盐度时间变化的重现性也得到了改善,尽管它们表现出很强的非线性。这些结果表明,使用格林函数对模型参数进行逆估计可以大大提高流向潮汐河道的河羽建模的可重复性。

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