Constructing analytical estimates of the fuzzy fractional-order Boussinesq model and their application in oceanography

• Main Authors: Rashid, Saima, Kaabar, Mohammed K. A., Althobaiti, Ali, Alqurashi, M. S.
• Format: Article
• Published: Elsevier 2023
• Subjects: TA Engineering (General). Civil engineering (General); VM Naval architecture. Shipbuilding. Marine engineering
• Online Access: http://eprints.um.edu.my/38455/

The main idea of this article is the investigation of atmospheric internal waves, often known as gravity waves. This arises within the ocean rather than at the interface. A shallow fluid assumption is illustrated by a series of nonlinear partial differential equations in the framework. Because the waves are scattered over a wide geographical region, this system can precisely replicate atmospheric internal waves. In this research, the numerical solutions to the fuzzy fourth-order time-fractional Boussinesq equation (BSe) are determined for the case of the aquifer propagation of long waves having small amplitude on the sur-face of water from a channel. The novel scheme, namely the generalized integral transform (proposed by H. Jafari 35]) coupled with the Adomian decomposition method (GIADM), is used to extract the fuzzy fractional BSe in R , Rn and (2nth)-order including gH-differentiability. To have a clear understanding of the physical phenomena of the projected solutions, several algebraic aspects of the generalized integral transform in the fuzzy Caputo and Atangana-Baleanu fractional derivative operators are discussed. The confrontation between the findings by Caputo and ABC fractional derivatives under generalized Hukuhara differentiability are presented with appropriate values for the fractional order and uncertainty parameters P is an element of 0 , 1] were depicted in diagrams. According to proposed findings, hydraulic engineers, being analysts in drainage or in water management, might access adequate storage volume quantity with an uncertainty level. (c) 2022 Shanghai Jiaotong University. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )