NUMERICAL PREDICTION OF THE IMPACT OF METHANE GAS EMISSION CAUSED BY RICE PADDIES AND LIVESTOCK ON THE ENVIRONMENT USING COMPUTATIONAL APPROACH

Abstract

The impact of methane emission on the environment due to rice paddies and livestock cumulative density was studied. In this research work, we have applied a Matlab numerical scheme of ordinary differential Equation order 45 (ODE 45) for a time interval of 0 (30) 360. Our simulation results in this study revealed that on the based day of our experimental time the relative abundance of rice paddies N1 was recorded as one thousand (1000) in size, the relative abundance of livestock cumulative density N2 was recorded as two thousand (2000) whereas the methane gas emission N3 records two thousand five hundred (2500) units. Furthermore, from the thirtieth (30^th) day up to the three hundred and sixtieth (360^th) days, the data base result shows a non-sequential pattern in the relative abundance of the coordinates of N1. From a value of 1000 it decreases to an approximate value of 990 units and then increases to an approximate value of 991 and decreases further down the trend to a saturation level which converges to an approximates size of 990 numerical strength on the three hundred and sixtieth (360^th) day.  Furthermore, the value of the coordinates of N2 also shows a non-sequential pattern. From a value of 2000 it decreases to an approximate value of 1960 units and then increases to an approximate value of 1961 and decreases further down the trend to a saturation level which converges to an approximates size of 1960 numerical strength on the three hundred and sixtieth (360^th) day. For the methane gas emission N3, the database shows a monotonically increasing pattern from a value of 2500 to a saturation level of 3069 units. From this result, we were able to observe the relative abundance of rice paddies, livestock and methane gas over time.