This work aims to develop and apply an algorithm for solving space-time fractional reaction-advection diffusion (STFRAD) nonlinear coupled equations with specified initial and boundary conditions by employing a Shifted Legendre Gauss-Lobatto collocation (SLGLC) scheme. The fractional derivatives of time and space are defined in Caputo sense. The approximate solutions have been constructed with the help of shifted Legendre polynomials. The proposed numerical scheme reduces the coupled fractional order differential equations into a system of algebraic equations which can then be easily solved. The error analysis through the two test problems is carried out to validate the efficiency and efficacy of the method. The effect of advection and reaction terms, and various space-time fractional order derivatives on the solution profiles have been studied and are shown graphically for different particular cases. It has been observed that the species whose transport is simulated using STFRADE shows higher concentration at a specific distance in porous media in case of integer order differential equations as compared to fractional order equations demonstrating overestimation of its impact in case of integer order differential equation. This is extremely important observation with respect to applications in the field of groundwater pollution management. The salient feature of the article is the stability and convergence analyses of the proposed scheme on the concerned model, which demonstrates the effectiveness and capabilities of the developed method.
机构:
King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
Beni Suef Univ, Fac Sci, Dept Math, Bani Suwayf 62511, EgyptKing Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
Bhrawy, A. H.
Baleanu, D.
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King Abdulaziz Univ, Fac Engn, Dept Chem & Mat Engn, Jeddah 21589, Saudi Arabia
Cankaya Univ, Dept Math & Comp Sci, TR-06810 Ankara, Turkey
Inst Space Sci, R-76900 Magurele, RomaniaKing Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
机构:
Department of Computer Sciences,Shahid Beheshti University
Department of Cognitive Modeling,Institute for Cognitive and Brain Sciences,Shahid Beheshti UniversityDepartment of Computer Sciences,Shahid Beheshti University
K.Parand
S.Latifi
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Department of Computer Sciences,Shahid Beheshti UniversityDepartment of Computer Sciences,Shahid Beheshti University
S.Latifi
M.M.Moayeri
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Department of Computer Sciences,Shahid Beheshti UniversityDepartment of Computer Sciences,Shahid Beheshti University
M.M.Moayeri
M.Delkhosh
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Department of Computer Sciences,Shahid Beheshti UniversityDepartment of Computer Sciences,Shahid Beheshti University