Namwamba, J., Twumasi, Y., Ning, Z. et al. (2022). Novel Method of Improving Prediction Exaggerating Polynomial Models of Environmental Sciences Data Sets. In The 96th Annual Meeting of the Louisiana Academy of Science (p. 9). Louisiana State University.
http://laacademy.org/LAS2022/LAS2022_Program_Final.pdf

has been cited by the following article:

• TITLE: An Assessment of the Potential Use of Forest Residues for the Production of Bio-Oils in the Urban-Rural Interface of Louisiana

  AUTHORS: Yaw A. Twumasi, Zhu H. Ning, John B. Namwamba, Edmund C. Merem, Abena B. Asare-Ansah, Harriet B. Yeboah, Matilda Anokye, Diana B. Frimpong, Priscilla M. Loh, Julia Atayi, Judith Oppong, Cynthia C. Ogbu, Rechael N. D. Armah, Caroline Y. Apraku, Opeyemi I. Oladigbolu, Joyce McClendon-Peralta

  KEYWORDS: Bioenergy Production, Bio-Oils, Polynomial Regression, Bio-Products, Forest Residues, Logging Residues, Wood Wastes, Louisiana

  JOURNAL NAME: Open Journal of Forestry, Vol.12 No.4, October 20, 2022

  ABSTRACT: Louisiana is endowed with forest resources. Forest wastes generated after thinning, land clearing, and logging operations, such as wood debris, tree trimmings, barks, sawdust, wood chips, and black liquor, among others, can serve as potential fuels for energy production in Louisiana. This paper aims to evaluate the potential annual volumes of forest wastes established on detailed and existing data on the forest structure in the rural-urban interface of Louisiana. It also demonstrates the state’s prospects of utilizing forest wastes to produce bio-oils. The data specific to the study was deduced from secondary data sources to obtain the annual average total residue production in Louisiana and estimate the number of logging residues available for procurement for bioenergy production. The total biomass production per year was modeled versus years by polynomial regression curve fitting using Microsoft Excel. Results of the model show that the cumulative annual total biomass production for 2025 and 2030 in Louisiana is projected to be 80000000 Bone Dry Ton (BDT) and 16000000 (BDT) respectively. The findings of the study depict that Louisiana has a massive biomass supply from forest wastes for bioenergy production. Thus, the potential for Louisiana to become an influential player in the production of bio-based products from forest residues is evident. The author recommends that future research can use Geographic Information Systems (GIS) to create maps displaying the potential locations and utilization centers of forest wastes for bioenergy production in the state.