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...

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Detalles Bibliográficos
Autores principales: Zhang, Da, Wang, Qingyi, Song, Shaojie, Chen, Simiao, Li, Mingwei, Shen, Lu, Zheng, Siqi, Cai, Bofeng, Wang, Shenhao, Zheng, Haotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
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

Internet

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

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