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Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition
Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional approaches often rely on complicated chemical transport models that r...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480617/ https://www.ncbi.nlm.nih.gov/pubmed/37680462 http://dx.doi.org/10.1016/j.isci.2023.107652 |