Numerical Approximation of the Fractional Model of Atmospheric Dynamics of CO<sub>2</sub> Using the Gegenbauer Wavelet Collocation Method

Abstract This work provides an understanding of the fractional order nonlinear mathematical model that describes the dynamic variation of carbon dioxide ( gas atmospheric concentration. The impact of changes in the human population and forest biomass on the dynamics of gas concentration in the atmosphere is also highlighted in this work. It investigates the model's solution by applying an effective wavelet method known as the Gegenbauer wavelet collocation method (GWCM). The considered model is a nonlinear coupled system of fractional ordinary differential equations (SFODEs). The operational matrices of integration are constructed using the Gegenbauer wavelets. Processing is accelerated by utilizing the properties of the Gegenbauer wavelet expansions and the operational matrix of integration to convert nonlinear SFODEs into a system of algebraic equations. The Newton‐iterative strategy is used to solve this system of algebraic equations to determine the unknown coefficients and to arrive at an approximate solution. Numerical illustration demonstrates the method's effectiveness and accuracy. In addition to demonstrating the effectiveness of the applied strategy, the results show that it is appropriate for high approximations of the atmospheric gas concentration fractional model solution. All the numerical computations are carried out with the help of Mathematica software.

Authors

Institutions

Publication Details

Journal
Advanced Theory and Simulations
Published
2025-02-16
DOI
https://doi.org/10.1002/adts.202401463
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Approximation of the Fractional Model of Atmospheric Dynamics of CO2 Using the Gegenbauer Wavelet Collocation Method

S. Kumbinarasaiah, G. Manohara
Advanced Theory and Simulations
Wind and Air Flow Studies
article

Numerical Approximation of the Fractional Model of Atmospheric Dynamics of CO2 Using the Gegenbauer Wavelet Collocation Method

S. Kumbinarasaiah, G. Manohara
article en

Abstract

Abstract This work provides an understanding of the fractional order nonlinear mathematical model that describes the dynamic variation of carbon dioxide ( gas atmospheric concentration. The impact of changes in the human population and forest biomass on the dynamics of gas concentration in the atmosphere is also highlighted in this work. It investigates the model's solution by applying an effective wavelet method known as the Gegenbauer wavelet collocation method (GWCM). The considered model is a nonlinear coupled system of fractional ordinary differential equations (SFODEs). The operational matrices of integration are constructed using the Gegenbauer wavelets. Processing is accelerated by utilizing the properties of the Gegenbauer wavelet expansions and the operational matrix of integration to convert nonlinear SFODEs into a system of algebraic equations. The Newton‐iterative strategy is used to solve this system of algebraic equations to determine the unknown coefficients and to arrive at an approximate solution. Numerical illustration demonstrates the method's effectiveness and accuracy. In addition to demonstrating the effectiveness of the applied strategy, the results show that it is appropriate for high approximations of the atmospheric gas concentration fractional model solution. All the numerical computations are carried out with the help of Mathematica software.

Advanced Theory and SimulationsVol. 8(6)
Bangalore University (IN)
Openalex Percentile: Top 98%
Wind and Air Flow Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.