Adaptive method for the solution of 1D and 2D advection–diffusion equations used in environmental engineering

Autor: Romuald Szymkiewicz, Dariusz Gąsiorowski
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1290-1311 (2021)
Druh dokumentu: article
ISSN: 1464-7141
1465-1734
DOI: 10.2166/hydro.2021.062
Popis: The paper concerns the numerical solution of one-dimensional (1D) and two-dimensional (2D) advection–diffusion equations. For the numerical solution of the 1D advection–diffusion equation, a method, originally proposed for the solution of the 1D pure advection equation, has been developed. A modified equation analysis carried out for the proposed method allowed increasing of the resulting solution accuracy and, consequently, to reduce the numerical dissipation and dispersion. This is achieved by proper choice of the involved weighting parameter being a function of the Courant number and the diffusive number. The method is adaptive because for uniform grid point and for uniform flow velocity, the weighting parameter takes a constant value, whereas for non-uniform grid and for varying flow velocity, its value varies in the region of solution. For the solution of the 2D transport equation, the dimensional decomposition in the form of Strang splitting technique is used. Consequently, this equation is reduced to a series of the 1D equations with regard to x- and y-directions which next are solved using the aforementioned method. The results of computational experiments compared with the exact solutions confirmed that the proposed approaches ensure high solution accuracy of the transport equations. HIGHLIGHTS Solution of 2D advection–diffusion equation using the Strang splitting method.; Solution of 1D advection–diffusion equation using the modified finite element method.; Modified equation analysis yields the coefficients of numerical dissipation and dispersion.; For variable flow velocities, the weighting parameter varies in space and time.; The adaptive algorithm ensuring the constant order of approximation up to the 4rd order.;
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