Building a Bridge from Moments to PDF’s: A new approach to finding PDF mixing models

Nicolae Suciu
(preprint), global random walk, Numerical Modeling, paper

Abstract

Probability density function (PDF) methods are a promising alternative to predicting the transport of solutes in groundwater under uncertainty. They make it possible to derive the evolution equations of the mean concentration and the concentration variance, used in moment methods. A mixing model, also known as a dissipation model, is essential for both methods. Finding a satisfactory mixing model is still an open question and due to the rather elaborate PDF methods, a difficult undertaking. Both the PDF equation and the concentration variance equation depend on the same mixing model. This connection is used to find and test an improved mixing model for the much easier to handle concentration variance. Subsequently, this mixing model is transferred to the PDF equation and tested. The newly proposed mixing model yields significantly improved results for both variance modelling and PDF modelling.

 

Authors

L. Schüler

N. Suciu
(Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy)

P. Knabner

S. Attinger

Keywords

PDF method; variance; solute transport; heterogeneity; mixing; global random walk

Cite this paper as:

L. Schüler, N. Suciu, P. Knabner, S. Attinger (2016), Building a Bridge from Moments to PDF’s: A new approach to finding PDF mixing models, arXiv:1602.01353 [physics.flu-dyn] 3 Feb 2016

References

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PDF

https://arxiv.org/pdf/1602.01353.pdf

About this paper

Journal

Arxiv.org

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Google Scholar Profile
2016

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