Studying Some Air Pollutants by Using the Nonlinear Autoregressive Distributed Lags (NARDL) Model

Abstract

Air pollution is one of the major environmental risks to health, which leads to physiological damage to humans, animals and plants, air pollutants are new materials that are added to the atmosphere as a result of economic or industrial processes, such as dust, gases, and smoke, Hence the importance of this research in measuring and analyzing the relationship between some toxic gases, such as SO2, CO, and CH4, and its effect on suspended particles in the atmosphere, for the period from 1/1/2017 to 1/12/2020, as monthly data using the nonlinear autoregressive distributed lags model. The research concluded that there is a long-run and short-run relationship between each of these pollutants with suspended particles. Also, the negative shocks of carbon monoxide(CO) and sulfur dioxide(SO2) gases are more effective than the positive shocks on suspended particles(PM10), while the positive effect of methane(CH4) gas was more than the negative effect on suspended particles.