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首页> 外文期刊>Advances in Water Resources >A finite analytic method for solving the 2-D time-dependent advection-diffusion equation with time-invariant coefficients
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A finite analytic method for solving the 2-D time-dependent advection-diffusion equation with time-invariant coefficients

机译:求解时不变系数的二维时变对流扩散方程的有限解析方法

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Difficulty in solving the transient advection-diffusion equation (ADE) stems from the relationship between the advection derivatives and the time derivative. For a solution method to be viable, it must account for this relationship by being accurate in both space and time. This research presents a unique method for solving the time-dependent ADE that does not discretize the derivative terms but rather solves the equation analytically in the space-time domain. The method is computationally efficient and numerically accurate and addresses the common limitations of numerical dispersion and spurious oscillations that can be prevalent in other solution methods. The method is based on the improved finite analytic (IFA) solution method [Lowry TS, Li S-G. A characteristic based finite analytic method for solving the two-dimensional steady-state advection-diffusion equation. Water Resour Res 38 (7), 10.1029/ 2001WR000518] in space coupled with a Laplace transformation in time. In this way, the method has no Courant condition and maintains accuracy in space and time, performing well even at high Peclet numbers. The method is compared to a hybrid method of characteristics, a random walk particle tracking method, and an Eulerian-Lagrangian Localized Adjoint Method using various degrees of flow-field heterogeneity across multiple Peclet numbers. Results show the IFALT method to be computationally more efficient while producing similar or better accuracy than the other methods.
机译:对流对流扩散方程(ADE)的求解困难在于对流导数和时间导数之间的关系。为了使解决方法可行,它必须通过在空间和时间上都保持准确来解决这种关系。这项研究提出了一种解决时间相关的ADE的独特方法,该方法不会离散化导数项,而是在时空域中解析求解方程。该方法在计算上是有效的,并且在数值上是准确的,并且解决了在其他求解方法中普遍存在的数值离散和寄生振荡的常见限制。该方法基于改进的有限解析(IFA)解法[Lowry TS,Li S-G。基于特征的有限分析方法求解二维稳态对流扩散方程。 [Water Resour Res 38(7),10.1029 / 2001WR000518]在空间上与时间上的拉普拉斯变换相结合。这样,该方法就没有Courant条件,并且即使在高Peclet数下也能保持良好的时空精度。该方法与特性的混合方法,随机游动粒子跟踪方法和使用多个Peclet数的不同程度的流场异质性的Eulerian-Lagrangian局部伴随方法进行了比较。结果表明,与其他方法相比,IFALT方法在计算上更有效,同时产生相似或更好的准确性。

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