Analysis of the Information Obtained From PM2.5 Concentration Measurements in an Urban Park

In this article, parametric and nonparametric statistical inference analysis of a set the measurements of air pollution because of PM_2.5 concentrations was performed. The research work was carried out in an urban park in Quito, Ecuador. Specifically, the park that was chosen to perform the analysis was La Carolina Park. The analysis carried out here was aimed at obtaining the statistical models for parts of this urban park under study and some of its border streets. Furthermore, the park and its border streets were modeled as random variables that were finally classified according to the amount of PM_2.5 concentration levels they carry. This classification was performed by using a method based on both Friedman's test and the categories of the index of air quality of Quito. The results of this article showed that air pollution levels because of PM_2.5 concentrations in La Carolina Park are not in alert level. The worst case, considering the analysis tools used in this article, is that one of the streets that border the park is in caution level. The other streets and parts of the park that were analyzed are either in a desirable level or in an acceptable level. Furthermore, in this article, it has been shown that as pedestrian and temporary residents move further away from the trees and vegetation of the park, the level of exposure to PM_2.5 concentrations that they experience is higher.