DOAJ Open Access 2023

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

Saima Rashid Mohammed K.A. Kaabar Ali Althobaiti M.S. Alqurashi

Abstrak

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 surface 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 ℘∈[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.

Topik & Kata Kunci

Penulis (4)

S

Saima Rashid

M

Mohammed K.A. Kaabar

A

Ali Althobaiti

M

M.S. Alqurashi

Format Sitasi

Rashid, S., Kaabar, M.K., Althobaiti, A., Alqurashi, M. (2023). Constructing analytical estimates of the fuzzy fractional-order Boussinesq model and their application in oceanography. https://doi.org/10.1016/j.joes.2022.01.003

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.1016/j.joes.2022.01.003
Akses
Open Access ✓