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NUMERICAL PREDICTION OF THE IMPACT OF PERCENTAGE VARIATION OF THE INTRINSIC GROWTH RATE PARAMETER VALUE OF VOLATILE ORGANIC COMPOUND EMITTED FROM OIL SPILLED ON AIR TEMPERATURE IN THEIR INTERACTION USING COMPUTATIONAL METHOD

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Abstract

Environmental Model for studying the qualitative characteristic of the Emission of Volatile Organic Compound from oil spillage and its interaction with Meteorological variable was developed and used in the study of the Numerical Prediction of the Impact of Percentage Variation of the Intrinsic Growth Rate Parameter Value of Volatile Organic Compound (VOC) Emitted from Oil Spilled on Air temperature in their interaction using Computational Method. One of the key achievements was aimed at developing a numerical data base for the relative abundance of the VOC and Air-temperature for a time interval of 0(30)360 months indexed by MATLAB ODE45 Runge-Kutta numerical scheme. Moreso, due to this 50% percentage variation, we observed a severe depletion in the coordinate of the modified VOC compared to the fixed parameter coordinate whose values ranges from 0.9294569 units on the thirtieth (30th) month to a converging saturated value of 0.69250665 units on the three hundred and sixtieth (360th) month. In this scenario, we observed a randomized pattern in the coordinate of the air temperature on comparing the fixed parameter coordinate with the modified coordinates showing six cases of gain in temperature as recorded on the 30th, 60th, 180th, 210th, 240th and 360th with the various values of the temperature relative abundance as well as the expected percentages effects in quantification on the environment. Moreover, there were also six cases of depletion in the coordinate of the air temperature as recorded on the 90th, 120th, 150th, 270th, 300th and 330th month with their associated values of the temperature relative abundance as well as the expected percentages effects in quantification on the environment. The full results and discussions of this noble contribution to knowledge are fully presented in this study.

Keywords

Numerical Scheme, Vulnerability, Environmental Pollution, Mathematical Modelling, Dynamical System, Meteorological Variable

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