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Finite volume model for the simulation of 1D unsteady river flow and water quality based on the WASP

机译:基于WASP的1D非空河流和水质模拟有限体积模型

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In this work, a one-dimensional (1D) finite volume numerical model for the unsteady simulation of the flow hydrodynamics and water quality is developed. The water dynamics is formulated with the 1D shallow water equations, and the water quality evolution is described by the Water Quality Analysis Simulation Program (WASP) model, allowing us to interpret and predict the transport and fate of various biochemical substances along any river reach. This combined system is solved with an explicit finite volume scheme based on Roe's linearization for the advection component of both the flow and the solute transport equations. The proposed model is able to consider temporal variations in tributaries and abstractions occurring in the river basin. This feature is transcendent in order to predict the chemical composition of natural water bodies during winter and summer periods, leading to an improvement in the agreement between computed and observed water quality evolutions. The combined model has been evaluated using literature tests in a steady state and a real-field case of the Ebro river (Spain), characterized by a marked unsteady regime. In the real case, we found that the water temperature was very sensitive to both the solar radiation and the average air temperature, requiring a careful calibration of these parameters. The numerical results are also demonstrated to be reasonably accurate, conservative and robust in real-scale field cases, showing that the model is able to predict the evolution of quality parameters as well as hydrodynamic variables in complex scenarios.
机译:在这项工作中,开发了一种用于流体动力学和水质的不稳定模拟的一维(1D)有限卷数值。用1D浅水方程式配制水动力学,水质进化由水质分析模拟(WASP)模型描述,允许我们沿任何河流达到各种生化物质的运输和命运。该组合系统以基于ROE线性化的显式有限体积方案来解决,用于流动和溶质传输方程的平流组分。该拟议模型能够考虑河流盆地发生的支流和抽象的时间变化。这种特征是超越的,以预测冬季和夏季期间天然水体的化学成分,从而改善计算和观察到的水质演变之间的协议。已经使用稳定状态的文献测试和eBro河(西班牙)的实场案例进行了评估了组合的模型,其特征在于标记不稳定的制度。在实际情况下,我们发现水温对太阳辐射和平均空气温度非常敏感,需要仔细校准这些参数。数值结果也被证明是在实际场地情况下具有合理准确,保守和稳健的,表明该模型能够预测质量参数的演变以及复杂场景中的流体动力变量。

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