An approach for the identification of particulate matter in the clouds of Bogotá using satellite imagery analysis [Online First]

Abstract

Objective: An analysis of the air quality of Bogotá by identifying clouds during the period from 2013-2017 and verifying patterns of behavior between cloud formation and the concentration of particulate matter is presented. Materials and methods: The study sample includes data provided by the Bogotá Air Quality Monitoring Network (RMCAB), taking into account the concentration of particulate matter, temperature, precipitation, wind direction and wind speed. The data are compared with Landsat 8 satellite images and different combinations of spectral bands through the use of the Geographic Information System (GIS) ArcGis. Results and discussion: A high model correlation is reflected in a percentage greater than 90%, presenting a greater coincidence with a periodicity of two years during the dry period; it is possible to observe that the concentration of pollutants follows the trend of the wind vector lines, and the concentration has a direct correlation with cloud formation, which is influenced by temperature, wind speed and wind direction. Conclusions: This paper provides an alternative for the measurement of particulate matter and contributes to the collection of information on this research topic.