Análisis de la calidad del aire en Santa Marta por efectos del polvillo de carbón en zonas portuarias a partir de un modelo de predicción espacio-temporal
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Predictive models space-time are an analysis tool aimed at projecting the impact of environmental pollution caused by changes in air quality by interpolating existing values in a region where the study variable is continuous, but there are few points of space which allow to show their behavior together in time and space. The investigation for the period between 2010-2014 is developed in the thirteen sampling points that belong to the System of Monitoring of Air Quality (SVCA), to analyse the information from Particulate Matter (PM10 and PST) provided by the organization in charge (CORPAMAG), in order to determine a prediction model Spatio-temporal deterministic employing the Radial Basis Functions Spatio-Temporal, (RBFst) and the method of Inverse Distance Weighting Spatio-Temporal (IDWst). Because in that city center of concentration of particles produced by emission of pollutants because fossil fuels, industrial and commercial activities, such as ports that exceed air quality standards and that can become a trigger for generating pathologies on the surrounding population. The model results allow assert the existence of variations in the levels of particulate matter (PM) showing a growth trend in the emission and dispersion of criteria pollutants under consideration for the given period