Al Qurashi, MaysaaJarad, FahdRashid, SaimaSultana, SobiaJarad, FahdAlsharif, Abdullah M.Matematik2024-03-282024-03-282022Al Qurashi, Maysaa;...et.al. (2022). "Fractional-order partial differential equations describing propagation of shallow water waves depending on power and Mittag-Leffler memory", AIMS Mathematics, Vol.7, No.7, pp. 12587-12619.2473-6988https://doi.org/10.3934/math.2022697In this research, the (q) over bar -homotopy analysis transform method ((q) over bar -HATM) is employed to identify fractional-order Whitham-Broer-Kaup equation (WBKE) solutions. The WBKE is extensively employed to examine tsunami waves. With the aid of Caputo and Atangana-Baleanu fractional derivative operators, to obtain the analytical findings of WBKE, the predicted algorithm employs a combination of (q) over bar -HAM and the Aboodh transform. The fractional operators are applied in this work to show how important they are in generalizing the frameworks connected with kernels of singularity and non-singularity. To demonstrate the applicability of the suggested methodology, various relevant problems are solved. Graphical and tabular results are used to display and assess the findings of the suggested approach. In addition, the findings of our recommended approach were analyzed in relation to existing methods. The projected approach has fewer processing requirements and a better accuracy rate. Ultimately, the obtained results reveal that the improved strategy is both trustworthy and meticulous when it comes to assessing the influence of nonlinear systems of both integer and fractional order.eninfo:eu-repo/semantics/openAccessWhitham-Broer-Kaup EquationAboodh Transform(Q)Over-Bar-Homotopy Analysis Transform MethodAtangana-Baleanu Fractional DerivativeConvergence AnalysisFractional-order partial differential equations describing propagation of shallow water waves depending on power and Mittag-Leffler memoryFractional-Order Partial Differential Equations Describing Propagation of Shallow Water Waves Depending on Power and Mittag-Leffier MemoryArticle77125871261910.3934/math.20226972-s2.0-85129415086WOS:000793237700002Q1Q1