An approach to transport in heterogeneous porous media using the truncated temporal moment equations: Theory and numerical validation

被引:9
作者
Delay, F
Porel, G
Banton, O
机构
[1] URA 1367, Lab Geol Appl, F-75252 Paris 05, France
[2] UMR 6532, Lab Hydrogeol, F-86022 Poitiers, France
[3] INRS Eau Quebec, St Foy, PQ G1V 4C7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
stationary advection-dispersion equation; truncated temporal moment; reactive transport; numerical modeling; pollution forecasting;
D O I
10.1023/A:1006509609858
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In the last decade, the characterization of transport in porous media has benefited largely from numerical advances in applied mathematics and from the increasing power of computers. However, the resolution of a transport problem often remains cumbersome, mostly because of the time-dependence of the equations and the numerical stability constraints imposed by their discretization. To avoid these difficulties, another approach is proposed based on the calculation of the temporal moments of a curve of concentration versus time. The transformation into the Laplace domain of the transport equations makes it possible to develop partial derivative equations for the calculation of complete moments or truncated moments between two finite times, and for any point of a bounded domain. The temporal moment equations are stationary equations, independent of time, and with weaker constraints on their stability and diffusion errors compared to the classical advection-dispersion equation, even with simple discrete numerical schemes. Following the complete theoretical development of these equations, they are compared firstly with analytical solutions for simple cases of transport and secondly with a well-performing transport model for advective-dispersive transport in a heterogeneous medium with rate-limited mass transfer between the free water and an immobile phase. Temporal moment equations have a common parametrization with transport equations in terms of their parameters and their spatial distribution on a grid of discretization. Therefore, they can be used to replace the transport equations and thus accelerate the achievement of studies in which a large number of simulations must be carried out, such as the inverse problem conditioned with transport data or for forecasting pollution hazards.
引用
收藏
页码:199 / 232
页数:34
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