Variabilidad Estocástica de las Variables Atmosféricas y de Emisión en el Modelado de la Concentración de PM10

Abstract

The pollutant dispersion is generally modeled considering the independent variables as deterministic, namely variables that take specific values. In this work, the concentration of PM10 has been estimated considering the stochastic variability of atmospheric variables and emission factors of a particular stack. By means of a simple program, developed specifically for this task, which combines the algorithms of Industrial
Source Complex (ISC) model with the Monte Carlo method (MC), has been estimated the concentration for receptors located in Malagueño City (Cordoba Province). This new application, called ISC-MC, has permitted (i) to know the distribution of PM10 concentrations for different receptors and (ii) to determine the location of those percentiles of interest