2015
DOI: 10.1007/s12046-015-0382-6
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Solute transport through porous media using asymptotic dispersivity

Abstract: In this paper, multiprocess non-equilibrium transport equation has been used, which accounts for both physical and chemical non-equilibrium for reactive transport through porous media. An asymptotic distance dependent dispersivity is used to embrace the concept of scale-dependent dispersion for solute transport in heterogeneous porous media. Semi-analytical solution has been derived of the governing equations with an asymptotic distance dependent dispersivity by using Laplace transform technique and the power … Show more

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Cited by 6 publications
(7 citation statements)
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“…A semi-analytical solution of the transport model with an asymptotic dispersion depending on the distance and on the asymptotic dispersivity parameters (a), and on the half-length characterizing the mean stroke (b), was developed by Sharma and Abgaze, (2015) taking into account a condition of zero pollutant concentration at the outlet of the domain and parameters of constant asymptotic dispersivity in a homogeneous porous medium. This author neglected certain boundary conditions that may occur at the aquifer boundary due to natural phenomena, as mentioned in the works of Al-Niami and Rushton, (1976);Yadav et al (2012) and the variability of the asymptotic dispersivity parameters in a heterogeneous porous medium.…”
Section: Introductionmentioning
confidence: 99%
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“…A semi-analytical solution of the transport model with an asymptotic dispersion depending on the distance and on the asymptotic dispersivity parameters (a), and on the half-length characterizing the mean stroke (b), was developed by Sharma and Abgaze, (2015) taking into account a condition of zero pollutant concentration at the outlet of the domain and parameters of constant asymptotic dispersivity in a homogeneous porous medium. This author neglected certain boundary conditions that may occur at the aquifer boundary due to natural phenomena, as mentioned in the works of Al-Niami and Rushton, (1976);Yadav et al (2012) and the variability of the asymptotic dispersivity parameters in a heterogeneous porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…Three initials concentration injection condition were introduced at the inlet of the aquifer : (a)constants, (b) variables exponentially with time and (c) sinusoidally with time. This article proposes a numerical solution of the transport model with an asymptotic dispersion dependent on the distance with the parameters of asymptotic dispersivity (a), and the half-length characterizing the mean stroke (b) developed by Sharma and Abgaze (2015), by taking two conditions at the outlet of the domain and a variable asymptotic dispersion parameters a and b in a heterogeneous porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…The fate of chemical substances in the soil is complex and dynamic, depending on such factors as clay level, soil pH, hydraulic conductivity, structure, and many others [3]. From the general convection-dispersion function describing solute transport in porous media, several numerical and analytical models have evolved [4,5]. These include the finite difference approaches.…”
Section: Introductionmentioning
confidence: 99%
“…A general consensus about the scale-dependent dispersivity has been reported by many laboratory and field researches over the last few decades (Silliman and Simpson, 1987;Gelhar et al, 1992;Irwin et al, 1996;Pachepsky et al, 2003;Huang et al, 2006, among others). It means that during solute transport in heterogeneous media the dispersivity increases with travel distance (thus with time) in a pre-asymptotic stage before reaching a constant value (Gelhar, 1987;Mishra and Parker, 1990; Suresh Kumar et al, 2006;Sharma and Abgaze, 2015). Irwin et al (1996) showed that dispersion may be dependent upon the scale of a characteristic length (travel distance) from their KCl tracer transport experiment in a medium with periodic heterogeneity.…”
Section: Introductionmentioning
confidence: 99%