Predicting air pollution changes due to temperature increases in two Brazilian capitals using machine learning – a necessary perspective for a climate resilient health future.
Given that climate change can exacerbate the health impacts of air pollutants, we evaluated the impact of temperature increase scenarios on air pollutant levels (O3, PM2.5, and PM10) in Porto Alegre and Recife, Brazil. Air pollutants and meteorological data were collected, and simulations were perfo...
| Publicado en: | International Journal of Environmental Health Research Vol. 35; no. 11; pp. 3392 - 3407 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |