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Integrating Augmented In Situ Measurements and a Spatiotemporal Machine Learning Model To Back Extrapolate Historical Particulate Matter Pollution over the United Kingdom: 1980-2019.
Liu, Riyang; Ma, Zongwei; Gasparrini, Antonio; de la Cruz, Arturo; Bi, Jun; Chen, Kai.
Afiliação
  • Liu R; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, People's Republic of China.
  • Ma Z; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, United States.
  • Gasparrini A; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut 06520, United States.
  • de la Cruz A; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, People's Republic of China.
  • Bi J; Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, United Kingdom.
  • Chen K; Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, United Kingdom.
Environ Sci Technol ; 57(51): 21605-21615, 2023 Dec 26.
Article em En | MEDLINE | ID: mdl-38085698
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar País/Região como assunto: Europa Idioma: En Revista: Environ Sci Technol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar País/Região como assunto: Europa Idioma: En Revista: Environ Sci Technol Ano de publicação: 2023 Tipo de documento: Article