Computational Analysis of Fractional Diffusion Equations Occurring in Oil Pollution
Jagdev Singh (),
Ahmed M. Alshehri,
Shaher Momani,
Samir Hadid and
Devendra Kumar
Additional contact information
Jagdev Singh: Department of Mathematics, JECRC University, Jaipur 303905, Rajasthan, India
Ahmed M. Alshehri: Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Shaher Momani: Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman P.O. Box 346, United Arab Emirates
Samir Hadid: Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman P.O. Box 346, United Arab Emirates
Devendra Kumar: Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Mathematics, 2022, vol. 10, issue 20, 1-19
Abstract:
The fractional model of diffusion equations is very important in the study of oil pollution in the water. The key objective of this article is to analyze a fractional modification of diffusion equations occurring in oil pollution associated with the Katugampola derivative in the Caputo sense. An effective and reliable computational method q -homotopy analysis generalized transform method is suggested to obtain the solutions of fractional order diffusion equations. The results of this research are demonstrated in graphical and tabular descriptions. This study shows that the applied computational technique is very effective, accurate, and beneficial for managing such kind of fractional order nonlinear models occurring in oil pollution.
Keywords: diffusion equations; oil pollution; Caputo-Katugampola fractional derivative; q -homotopy analysis generalized transfer method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:20:p:3827-:d:944248
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