帕托斯泻湖 TELEMAC-3D 模型流体力学模拟的校准和验证分析

Nágila Veiga Adrião Monteiro, Juliana Costi, Pablo Dias da Silva, Elisa Helena Leão Fernandes, Liércio André Isoldi
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引用次数: 0

摘要

这项工作提出了为帕托斯泻湖和巴西南部大陆架的水动力研究而对里约格兰德巴拉的两种防波堤配置的计算模型进行校准和验证的分析。采用TELEMAC-3D模型,求解三维Navier-Stokes方程,考虑流体静力学假设,来描述自由地表地球物理流体的动力学。我们开发了两个有限单元三角形网格,大约有75,000个元素和7个西格玛级别。数值域深度可达2.427 m,具有河流和海洋流体边界。水平湍流模型采用Smagorinsky模型,垂直湍流模型采用混合长度模型。利用2005年12月的当前风速数据进行校准,改变了风摩擦系数、水平和垂直速度扩散系数以及盐度示踪剂。风的影响系数是对模型结果影响最大的因素。计算的相对平均绝对误差为0.383 dn。对于表面和0.167 dn。对于深度,分别被评为良好和优秀。为了验证,我们于2017年1月评估了模型在再现与环境深度相关的盐度行为方面的性能。计算的均方根误差为7.37 dn。相对平均绝对误差为0.228 dn。,认为该模型性能良好。这些度量之间的差异对于真实的模型是一致可接受的。盐的输运是一个复杂的现象,它既依赖于平流输运,也依赖于扩散输运。因此,有可能得出结论,他提出的计算模型能够可靠地再现一个复杂的现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the calibration and validation of hydrodynamic simulations with TELEMAC-3D model of the Patos Lagoon
This work presents the analysis of the calibration and validation of the computational model for two configurations of the Jetties of the Rio Grande Barra for hydrodynamic studies of the Patos Lagoon and the continental shelf of southern Brazil. The model used was TELEMAC-3D, which solves the three-dimensional Navier-Stokes equations, considering the hydrostatic hypothesis, to describe the dynamics of free surface geophysical fluids. We developed two finite element triangular meshes, with about 75.000 elements and seven sigma levels. The numerical domain reaches depths up to 2.427 m, with fluvial and oceanic liquid boundaries. The horizontal turbulence model adopted was Smagorinsky and the vertical model of mixing length. Current velocity data obtained from December 2005 were used for calibration, varying the coefficient of wind friction, horizontal and vertical velocity diffusion, and the salinity tracer. The coefficient of wind influence was the factor that most influenced the model results. The calculated Relative Mean Absolute Error was 0.383 dn. for surface and 0.167 dn. for depth, rated good and excellent, respectively. For validation, we evaluated the model performance on reproducing the salinity behavior, related to the depth of the environment, in January 2017. The calculated Root Mean Square Error was 7.37 dn. and the Relative Mean Absolute Error was 0.228 dn., rating the model performance as good. These variances between metrics is uniformly acceptable for real models. Salt transport is a complex phenomenon and depends on both advective and diffusive transport. Thus, it is possible to conclude that he proposed computational model is able to reproduce a complex phenomenon reliably.
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