Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method

In this paper, various modifications of the Latin Hypercube Sampling algorithm have been used in order to evaluate the sensitivity of an environmental model output results for some dangerous air pollutants with respect to the emission levels and some chemical reaction rates. The environmental security importance is growing rapidly, becoming at present a significant topic of interest all over the world. Respectively, the environmental modeling has very high priority in various scientific fields. By identifying the major chemical reactions that affect the behavior of the system, specialists in various fields of application will be able to obtain valuable information about improving the model, which in turn will increase the reliability and sustainability of forecasts.