DYNAMICAL MODELING AND ANALYSIS OF METHANE EMISSION ABATEMENT

Abstract

A nonlinear mathematical model is proposed and analyzed to study the effect of mitigation options on the control of methane emissions in the atmosphere caused by livestock and human populations so as to reduce global warming. Livestock population is one of the main agricultural sources of greenhouse gases in the world. It is assumed that the atmospheric concentration of methane increases in the atmosphere due to cumulative density of methane formed by various processes involved in the farming of livestock populations. Various human activities are also significant contributors to methane emissions. The most notable effects of global warming around the world include the progressive heating of the Earth’s surface, oceans and atmosphere; glacier melting; and various diseases. Mitigation options are applied to control the methane emissions considerably in the atmosphere caused by livestock and human populations which in turn reduces the effects of global warming. The data from model prediction is compared with actual methane data in the atmosphere and found to be fairly close.