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A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method

Received: 14 December 2021    Accepted: 17 January 2022    Published: 25 January 2022
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Abstract

In this work, a numerical analysis of a mathematical model for the preservation of forestry biomass is investigated. The model is divided into three compartments as density of forest biomass, density of wood based industries and density of synthetic industries. The Laplace Decomposition Method is used to obtain approximate solutions in the form of infinite series. Numerical justification is performed on the model parameter values with the aid of Maple 18 software to obtain the results. The behavior of the results obtained, is presented graphically. From the results, it was observed that the population of forest biomass increases exponentially as we increase the competitive effect of forest biomass c1, on wood industries. It was also observed that the wood based industries will have no depleting effect on the forest biomass even when the competitive effect parameter of wood based industries c2, on forest biomass was increased, and this was likened to increase awareness on synthetics as alternatives to wood, government control policies on deforestation, and an increase in prices of timber. It was also obvious from the result that as sufficient synthetic materials are supplied to the synthetic industries, the industries explode exponentially with time, and would serve as a good alternative to wood inpreserving the forestry biomass.

Published in Pure and Applied Mathematics Journal (Volume 11, Issue 1)
DOI 10.11648/j.pamj.20221101.11
Page(s) 1-19
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Biomass, Infinite Series, Laplace Decomposition, Density

References
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[2] Richard, H. (2010) on Historicizing Sustainability: German Scientific Forestry in the Eighteenth and Nineteenth Centuries. Science as Culture, 19 (4), 431-460.
[3] Adekola, G., and Mbalisi, O. F. (2015). Conserving and Preserving Forest and Forest Resources in Nigeria Rural Communities: Implications for Community Education. International Journal of Research in Agriculture and Forestry, 2 (5), 42-52.
[4] Dubrey, B., and Freedom, H. I. (1996). Effects of changing habitat on survival of species. Ecological modelling, 87 (1-3), 205-216.
[5] Teru, A. H., and Koya, P. R. (2020). Mathematical Modelling of Deforestation of Forested Area Due to Lack of Awareness of Human Population and Its Conservation. Mathematical Modelling and Applications, 5 (2), 94-104.
[6] Muhammad, F., Muhammad U. S., Aqeel A., and Ahmad, M. O. (2018). Analysis and numerical solution of SEIR epidermic model of measles with non-integer time fractional derivatives by using Laplace Adomian Decomposition Method. Ain Shams Engineering Journal, 9 (4), 3391-3397.
[7] Chaudhary, M., Dhar, J. (2013). Forestry Biomass Conservation with Synthetic Industry: A Mathematical Model. Nirma University International Conference on Engineering (NUiCONE), https://doi.org/10.1109/NUiCONE.2013.6780205.
[8] Rachana, P. (2018). Depletion of Forest Resources and Wildlife Population with Habitat Complexity: A Mathematical Model. Open Journal of Ecology, 8 (11), 579-589.
[9] Jyotsna, K., and Tandon, A. (2017). A mathematical model to study the impact of mining activities and pollution on forest resources and wildlife population. Journal of biological systems, 25 (2), 207-230.
[10] Agyemang I., and Freedom H. I. (2009). An environmental model for the interaction of industry with two competing agricultural resources. Mathematical and Computing Modelling: An International Journal, 49 (7), 1618-1643.
[11] Chaudhary, M., Dhar, J., and Sahu, G. P. (2013). Mathematical Model of Depletion of ForestryResource: Effect of Synthetic Based Industries. World Academy of Science, Engineering and Technology. International Journal of Biological & Ecological Engineering, 7 (4), 797-802.
[12] Misra, A. K., and Lata, K. (2015). A mathematical Model to Achieve Sustainable Forest Management. Industrial Journal of modelling, simulation and scientific computing, 6 (4), 295-301.
[13] Chaudhary, M., Dhar, J., and Misra, O. P. (2015). A mathematical model for the conservation of forestry biomass with an alternative resource for industrialization: A Modified Leslie Gower Interaction. Modelling Earth Systems and Environment, 1 (4), 1-10.
[14] Lata, K., Dubey, B., and Misra, A. K. (2016). Modelling the effects of wood and non-wood based industries of forestry resources. Natural Resource Modelling, 29 (4), 559-580.
[15] Elizabeth, S., Victor, P. (2018). A mathematical Model on Deforestation Due to Human Population and Its Effect on Farm Field: Role of Technology in its Conservation. Journal of Informatics and Mathematical Sciences, pp. 425-432.
[16] Rajinder, P. K. (2020). Impact of Industry on the Forest Resources. Journal of Physics: Conference Series, 1531 (01), 20-49.
[17] Bazuaye F. E. (2021). A Laplace Decomposition Analysis of Corona Virus Disease 2019 (COVID-19) Pandemic Model. International Journal of Mathematical Science and Optimization: Theory and Applications. Vol 6 (2): 847-861.
[18] Bazuaye, F. E. and Ezeora J. (2021). Modelling and Solution of Infectious Diseases Using the Extended Laplace Adomian Decomposition Techniques. Applied and Computational Mathematics, 10 (2), 30-39.
[19] Chasnov., J. R. (2016). Introduction to Differential Equations. Department of Mathematics, The Hong Kong University of Science and Technology.
[20] Hussain, F. (2015). Laplace Decomposition Method for the System of Linear and Non-Linear rdinary Differential Equations. Mathematical Theory and Modelling, 5 (12).
[21] Bazuaye F. E. (2018). Solution of Non -Linear Differential Equations that Model Population Dynamics Using the Laplace Transform Methods. International Journal of Pure and Applied Science. Vol. 13 Number 1, Pages 135-146.
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  • APA Style

    Bazuaye Frank Etin-Osa, Omoregbe Osahon Charles. (2022). A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method. Pure and Applied Mathematics Journal, 11(1), 1-19. https://doi.org/10.11648/j.pamj.20221101.11

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    ACS Style

    Bazuaye Frank Etin-Osa; Omoregbe Osahon Charles. A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method. Pure Appl. Math. J. 2022, 11(1), 1-19. doi: 10.11648/j.pamj.20221101.11

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    AMA Style

    Bazuaye Frank Etin-Osa, Omoregbe Osahon Charles. A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method. Pure Appl Math J. 2022;11(1):1-19. doi: 10.11648/j.pamj.20221101.11

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  • @article{10.11648/j.pamj.20221101.11,
      author = {Bazuaye Frank Etin-Osa and Omoregbe Osahon Charles},
      title = {A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method},
      journal = {Pure and Applied Mathematics Journal},
      volume = {11},
      number = {1},
      pages = {1-19},
      doi = {10.11648/j.pamj.20221101.11},
      url = {https://doi.org/10.11648/j.pamj.20221101.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pamj.20221101.11},
      abstract = {In this work, a numerical analysis of a mathematical model for the preservation of forestry biomass is investigated. The model is divided into three compartments as density of forest biomass, density of wood based industries and density of synthetic industries. The Laplace Decomposition Method is used to obtain approximate solutions in the form of infinite series. Numerical justification is performed on the model parameter values with the aid of Maple 18 software to obtain the results. The behavior of the results obtained, is presented graphically. From the results, it was observed that the population of forest biomass increases exponentially as we increase the competitive effect of forest biomass c1, on wood industries. It was also observed that the wood based industries will have no depleting effect on the forest biomass even when the competitive effect parameter of wood based industries c2, on forest biomass was increased, and this was likened to increase awareness on synthetics as alternatives to wood, government control policies on deforestation, and an increase in prices of timber. It was also obvious from the result that as sufficient synthetic materials are supplied to the synthetic industries, the industries explode exponentially with time, and would serve as a good alternative to wood inpreserving the forestry biomass.},
     year = {2022}
    }
    

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    T1  - A Mathematical Analysis for the Preservation of Forestry Biomass Using the Laplace Decomposition Method
    AU  - Bazuaye Frank Etin-Osa
    AU  - Omoregbe Osahon Charles
    Y1  - 2022/01/25
    PY  - 2022
    N1  - https://doi.org/10.11648/j.pamj.20221101.11
    DO  - 10.11648/j.pamj.20221101.11
    T2  - Pure and Applied Mathematics Journal
    JF  - Pure and Applied Mathematics Journal
    JO  - Pure and Applied Mathematics Journal
    SP  - 1
    EP  - 19
    PB  - Science Publishing Group
    SN  - 2326-9812
    UR  - https://doi.org/10.11648/j.pamj.20221101.11
    AB  - In this work, a numerical analysis of a mathematical model for the preservation of forestry biomass is investigated. The model is divided into three compartments as density of forest biomass, density of wood based industries and density of synthetic industries. The Laplace Decomposition Method is used to obtain approximate solutions in the form of infinite series. Numerical justification is performed on the model parameter values with the aid of Maple 18 software to obtain the results. The behavior of the results obtained, is presented graphically. From the results, it was observed that the population of forest biomass increases exponentially as we increase the competitive effect of forest biomass c1, on wood industries. It was also observed that the wood based industries will have no depleting effect on the forest biomass even when the competitive effect parameter of wood based industries c2, on forest biomass was increased, and this was likened to increase awareness on synthetics as alternatives to wood, government control policies on deforestation, and an increase in prices of timber. It was also obvious from the result that as sufficient synthetic materials are supplied to the synthetic industries, the industries explode exponentially with time, and would serve as a good alternative to wood inpreserving the forestry biomass.
    VL  - 11
    IS  - 1
    ER  - 

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Author Information
  • Department of Mathematics and Statistics, Faculty of Science, University of Port Harcourt, Port Harcourt, Nigeria

  • Department of Mathematics and Statistics, Faculty of Science, University of Port Harcourt, Port Harcourt, Nigeria

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