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Impacts of lockdown on the dynamics of forestry biomass, wildlife species and control of atmospheric pollution.
Devi, Sapna; Fatma, Reda; Verma, Vinay.
Affiliation
  • Devi S; Department of Mathematics, University of Allahabad, Prayagraj, Uttar Pradesh 211002 India.
  • Fatma R; Department of Mathematics, University of Allahabad, Prayagraj, Uttar Pradesh 211002 India.
  • Verma V; Faculty of Mathematical and Statistical Sciences, Institute of Natural Sciences and Humanities, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225003 India.
Int J Dyn Control ; 11(3): 1415-1431, 2023.
Article in En | MEDLINE | ID: mdl-36254224
In this paper, we have formulated and analysed a mathematical model to investigate the impacts of lockdown on the dynamics of forestry biomass, wildlife species and pollution. For this purpose, we have considered a nonlinear system of four ordinary differential equations representing rates of change of the density of forestry biomass, the density of wildlife species, the concentration of pollutants and lockdown. Conditions for the existence, uniqueness and local stability of all equilibria along with the global stability of the interior equilibrium point are derived. Furthermore, conditions that influence the persistence of the system are obtained. By formulating an optimal control problem, the optimal strategies for minimizing the cost of implementation of lockdown as well as the concentration of pollutants are also studied. Numerical simulations are carried out to verify and validate our analytical findings. By this study, we have observed that implementation of lockdown for a sufficient period of time minimizes excessive harvesting of both forestry biomass and wildlife species and the concentration of pollutants in the environment. It is also found that lockdown policy is effective in the optimal control of atmospheric pollution. Therefore, lockdown plays a significant role in the dynamics of forestry biomass, wildlife species and control of pollution in the environment.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Int J Dyn Control Year: 2023 Document type: Article Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Int J Dyn Control Year: 2023 Document type: Article Country of publication: Germany