Modeling and simulations for the mitigation of atmospheric carbon dioxide through forest management programs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10256448" target="_blank" >RIV/61989100:27740/24:10256448 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.aimspress.com/article/doi/10.3934/math.20241107?viewType=HTML" target="_blank" >https://www.aimspress.com/article/doi/10.3934/math.20241107?viewType=HTML</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3934/math.20241107" target="_blank" >10.3934/math.20241107</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling and simulations for the mitigation of atmospheric carbon dioxide through forest management programs
Popis výsledku v původním jazyce
The growing global population causes more anthropogenic carbon dioxide (CO2) 2 ) emissions and raises the need for forest products, which in turn causes deforestation and elevated CO2 2 levels. A rise in the concentration of carbon dioxide in the atmosphere is the major reason for global warming. Carbon dioxide concentrations must be reduced soon to achieve the mitigation of climate change. Forest management programs accommodate a way to manage atmospheric CO2 2 levels. For this purpose, we considered a nonlinear fractional model to analyze the impact of forest management policies on mitigating atmospheric CO2 2 concentration. In this investigation, fractional differential equations were solved by utilizing the Atangana Baleanu Caputo derivative operator. It captures memory effects and shows resilience and efficiency in collecting system dynamics with less processing power. This model consists of four compartments, the concentration of carbon dioxide C (t), human population N (t), forest biomass B (t), and forest management programs P (t) at any time t. The existence and uniqueness of the solution for the fractional model are shown. Physical properties of the solution, non-negativity, and boundedness are also proven. The equilibrium points of the model were computed and further analyzed for local and global asymptotic stability. For the numerical solution of the suggested model, the Atangana-Toufik numerical scheme was employed. The acquired results validate analytical results and show the significance of arbitrary order delta . The effect of deforestation activities and forest management strategies were also analyzed on the dynamics of atmospheric carbon dioxide and forest biomass under the suggested technique. The illustrated results describe that the concentration of CO2 2 can be minimized if deforestation activities are controlled and proper forest management policies are developed and implemented. Furthermore, it is determined that switching to low-carbon energy sources, and developing and implementing more effective mitigation measures will result in a decrease in the mitigation of CO 2 .
Název v anglickém jazyce
Modeling and simulations for the mitigation of atmospheric carbon dioxide through forest management programs
Popis výsledku anglicky
The growing global population causes more anthropogenic carbon dioxide (CO2) 2 ) emissions and raises the need for forest products, which in turn causes deforestation and elevated CO2 2 levels. A rise in the concentration of carbon dioxide in the atmosphere is the major reason for global warming. Carbon dioxide concentrations must be reduced soon to achieve the mitigation of climate change. Forest management programs accommodate a way to manage atmospheric CO2 2 levels. For this purpose, we considered a nonlinear fractional model to analyze the impact of forest management policies on mitigating atmospheric CO2 2 concentration. In this investigation, fractional differential equations were solved by utilizing the Atangana Baleanu Caputo derivative operator. It captures memory effects and shows resilience and efficiency in collecting system dynamics with less processing power. This model consists of four compartments, the concentration of carbon dioxide C (t), human population N (t), forest biomass B (t), and forest management programs P (t) at any time t. The existence and uniqueness of the solution for the fractional model are shown. Physical properties of the solution, non-negativity, and boundedness are also proven. The equilibrium points of the model were computed and further analyzed for local and global asymptotic stability. For the numerical solution of the suggested model, the Atangana-Toufik numerical scheme was employed. The acquired results validate analytical results and show the significance of arbitrary order delta . The effect of deforestation activities and forest management strategies were also analyzed on the dynamics of atmospheric carbon dioxide and forest biomass under the suggested technique. The illustrated results describe that the concentration of CO2 2 can be minimized if deforestation activities are controlled and proper forest management policies are developed and implemented. Furthermore, it is determined that switching to low-carbon energy sources, and developing and implementing more effective mitigation measures will result in a decrease in the mitigation of CO 2 .
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10100 - Mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
AIMS Mathematics
ISSN
2473-6988
e-ISSN
2473-6988
Svazek periodika
9
Číslo periodika v rámci svazku
8
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
31
Strana od-do
22712-22742
Kód UT WoS článku
001294500400004
EID výsledku v databázi Scopus
2-s2.0-85199553948