Análisis y comparación de datos de calidad de aire de las estaciones de Bosa Porvenir y Aduanilla de Paiba con el SVCA de Bogotá

Abstract

This work performs a comparison analysis of the air quality monitoring stations located at the Bosa Porvenir and Aduanilla de Paiba sites of the Universidad Distrital Francisco José de Caldas with the selected stations of the Bogotá Air Quality Monitoring System (SVCA) based on the characterization and location, in order to establish a correlation of the measurements of particulate matter (PM10 and PM2.5) for which information was collected from the RMCAB database and the UFJDC database for a period of 26 weeks from July 1, 2022 to July 1, 2022. 5) for which information registered in the RMCAB database and in the UFJDC database was collected during a period of 26 weeks from July 1, 2022 to December 31, 2022, where error recognition methods were applied to 4420 concentration data per station. The data treatment was developed with the methodologies of the operation manual of the air quality monitoring system of the Ministry of Environment, Housing and Development to discard the measurements that exceeded 25% of invalid data, to subsequently make the descriptive statistical analysis in which a correlation of 86% was established between the Bosa Porvenir station and the Kennedy station. Establishing as the best option to carry out control processes in the future. In the case of the Aduanilla de Paiba station, it was determined that the two comparison stations of the SVCA of Bogotá, Puente Aranda and El Jazmine present a high degree of correlation of PM10 and PM2.5 data and both can be used for future controls since their correlation is higher than 85%. Different time bands were established to determine at what time the greatest contribution of PM10 and PM2.5 particulate matter is made in the different distributions, and it was found that Fridays and Saturdays are the days with the highest load of particulate matter for the two comparison groups. Likewise, it was established that the period from 06:00 to 09:00 hours represents the highest contribution of the day in the stations of group A and the period from 11:00 to 14:00 hours for group B.