Abstract
In this article, a robust statistical analysis of particulate matter (PM2.5) concentration measurements is carried out. Here, the region chosen for the study was the urban park La Carolina, which is one of the most important in Quito, Ecuador, and is located in the financial center of the city. This park is surrounded by avenues with high traffic, in which shopping centers, businesses, entertainment venues, and homes, among other things, can be found. Therefore, it is important to study air pollution in the region where this urban park is located, in order to contribute to the improvement of the quality of life in the area. The preliminary study presented in this article was focused on the robust estimation of both the central tendency and the dispersion of the PM2.5 concentration measurements carried out in the park and some surrounding streets. To this end, the following estimators were used: (i) for robust location estimation: α-trimmed mean, trimean, and median estimators; and (ii) for robust scale estimation: median absolute deviation, semi interquartile range, biweight midvariance, and estimators based on a subrange. In addition, nonparametric confidence intervals were established, and air pollution levels due to PM2.5 concentrations were classified according to categories established by the Quito Air Quality Index. According to these categories, the results of the analysis showed that neither the streets that border the park nor the park itself are at the Alert level. Finally, it can be said that La Carolina Park is fulfilling its function as an air pollution filter.
Highlights
Air pollution is a serious problem [1]
As a result of the above-mentioned four overlapping criteria, it was observed that the zone most prone to conditions of higher levels of air pollution and where people would be more exposed by the activity they perform is the zone that is indicated in Figure 2 (1) (i.e., Avenida de los Shyris and Avenida Naciones Unidas)—that is, the zone that is located in the northeast of the park
Data from PM2.5 concentration measurements performed in La Carolina Park, Quito, Ecuador, were analyzed using robust statistics techniques
Summary
Air pollution is a serious problem [1]. Many people die every year due to problems related to air pollution. The research work presented in [27] was aimed at studying the indoor environmental quality inside the natural ventilated and air-conditioned train cabins and platforms of four main stations of the Athens Metro Another example in which an application of the Kruskal–Wallis test can be found is [28]. In order to study fine-scale variations of PM2.5 concentrations and black carbon, in [31], “a three-point synchronous observation experiment” was carried out Such an experiment was performed in Shanghai, China. The main objective of this article is to perform the robust statistical analysis of PM2.5 concentration measurements in La Carolina Park, which is one of the most important urban parks of Quito.
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