Brief Analysis of Spatial Clustering of Mexico City Air Pollution Centroids during MILAGRO Campaign

Alejandro Salcido, Ana-Teresa Celada-Murillo, Susana Carreón-Sierra, and Carlos-Daniel Salcido-Merino


Mexico City, Air pollution centroids, Spatial clustering, Meso-β scale wind states, Mathematical modelling


It is proposed a very simple analysis approach for investigating the spatial distribution of the surface concentrations of air pollutants in Mexico City in response to the wind blowing. The spatial distribution of a given air pollutant is modeled by the mass centroid of its concentrations that the automated stations of the official air quality network (RAMA-SIMAT) measures and reports each hour. The wind events are characterized with a meso-β scale representation cellular model using as input the wind data measured at the stations of the official meteorological network (REDMET-SIMAT). We applied this innovative approach for analyzing the spatial clustering of the Mexico City air pollution centroids of ozone, nitrogen oxides, carbon monoxide and sulfur dioxide during the period of the MILAGRO campaign (March 2006). In particular, we found out the densities of states of the wind events for those Mexico City sectors that the pollution centroids were visiting during this period.

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