Modeling air pollution by use of weibull distribution for sustainable management
Akintunde Oyetunde A
It was established that air pollution is caused by excessive concentration of one or more contaminants such as dust, smoke, fumes, gases, etc. in the air which adversely affects human health, plants, animals or even damage to properties. These air pollutants are present in the atmosphere as solid, liquid or gaseous substances. The concentration of the air pollutants produces global warming, depletion of ozone layers, acid rain, acidification of soil, surface water and ground water, etc. Because of the adverse effects in the short- and/or long- term, there is need for proper control and monitor of air pollution both locally and globally. Hence, the research paper then examined the problem of identifying the appropriate distributional form for air pollution concentration data of which Weibull distribution is found to be more appropriate. For the distribution a simple empirical model, which yields approximations to the relative root mean square error of the percentile estimates against sample size and parameter values, was developed and demonstrated. Thus for the distributional model, an estimate of the relative error associated with evaluating high pollutant levels may be readily determined.