Amazon’s climate crossroads: analyzing air pollution and health impacts under machine learning-based temperature increase scenarios in Northern Mato Grosso, Brazil

Findings indicate that O3 levels are highly sensitive to meteorological variation, while PM2.5 and PM10 concentrations are projected to increase by up to 50% and 70%, respectively, under extreme warming scenarios, which underscores the growing burden of air pollution on public health in rapidly urbanizing regions.