Abstract
In this paper, we find the solution for fractional Richards equation describing the water transport in unsaturated porous media using q-homotopy analysis transform method (q-HATM).The proposed technique is graceful amalgamations of Laplace transform technique with q-homotopy analysis scheme, and fractional derivative defined with Atangana-Baleanu (AB) operator. The fixed point hypothesis considered in order to demonstrate the existence and uniqueness of the obtained solution for the proposed fractional order model. In order to validate and illustrate the efficiency of the future technique, we analysed the projected model in terms of fractional order. Meanwhile, the physical behaviour of the q-HATM solutions have been captured in terms of plots for diverse fractional order and the numerical simulation is also demonstrated. The achieved results illuminate that, the future algorithm is easy to implement, highly methodical as well as effective and very accurate to analyse the behaviour of nonlinear differential equations of fractional order arisen in the connected areas of science and engineering.
Highlights
Fractional calculus (FC) was originated in Newton’s time, but, lately, it has fascinated and captured the attention of many scholars
We have found the solution for equation describing the water transport in unsaturated porous media using q-homotopy analysis transform method (q-HATM) with the help of Mittag-Leffler law
The q-HATM is applied profitably to find the solution for an arbitrary order RC equation describing the water transport in the unsaturated porous media
Summary
Fractional calculus (FC) was originated in Newton’s time, but, lately, it has fascinated and captured the attention of many scholars. Many important and non-linear models are methodically and effectively analyzed with the help of fractional calculus. In 2015, Caputo and Fabrizio solved the above issues [47], and many researchers consult this derivative in order to analyze and find the solution for diverse classes of non-linear complex problems.
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