A computational study of fractional model of atmospheric dynamics of carbon dioxide gas. (January 2021)
- Record Type:
- Journal Article
- Title:
- A computational study of fractional model of atmospheric dynamics of carbon dioxide gas. (January 2021)
- Main Title:
- A computational study of fractional model of atmospheric dynamics of carbon dioxide gas
- Authors:
- Dubey, Ved Prakash
Dubey, Sarvesh
Kumar, Devendra
Singh, Jagdev - Abstract:
- Abstract: In this paper, a fractional order nonlinear mathematical model describing the dynamics of atmospheric concentration of CO2 is investigated and studied through the application of a semi-analytical homotopy scheme combined with Sumudu transform and homotopy polynomials. This study examines the consequences of the variations of forest biomass and human population on the dynamics of the concentration of CO2 gas in the atmosphere. The Caputo fractional derivatives are engaged in this study. The computational work shows that the evaluated iterative terms are adequate for the refined approximations of the solutions for a fractional model of dynamics of atmospheric concentration of CO2, and thus authenticate the computational strength of the employed scheme. The variational behavior of concentration of CO2, forest biomass, and human population are demonstrated through the graphical presentation regarding the changing values of fractional order derivatives and time t . Moreover, this study also examines the analysis of obtained solutions for a fractional model in view of uniqueness and convergence.
- Is Part Of:
- Chaos, solitons and fractals. Volume 142(2021)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 142(2021)
- Issue Display:
- Volume 142, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 142
- Issue:
- 2021
- Issue Sort Value:
- 2021-0142-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Carbon dioxide gas -- Forest biomass -- Human population -- Caputo fractional derivative -- Homotopy analysis method
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2020.110375 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15538.xml