Impact of temperature increase on air pollutants - A case study in a small city in southern Brazil

Abstract

This study aimed to examine the impact of temperature increase on air pollutants, and deaths attributed to air pollution in Dom Pedrito, a small city in the southernmost of Brazil. To simulate temperature increase scenarios, a Machine Learning technique was performed. The temperature increase simulation indicated that pollutant levels (O3, PM2.5, and PM10) could rise by approximately 7 to 18 %. In these more severe scenarios, the city would experience deaths attributed to PM2.5 pollution, albeit at a very low percentage. The results underscore the need for monitoring air pollutants in small cities, particularly considering the possibility of temperature increase.

Keywords

• Ozone
• Particulate matter
• Small cities
• Temperature elevation
• Machine learning