Application of a Fusion Method for Gas and Particle Air Pollutants between Observational Data and Chemical Transport Model Simulations Over the Contiguous United States for 2005–2014

Accurate spatiotemporal air quality data are critical for use in assessment of regulatory effectiveness and for exposure assessment in health studies. A number of data fusion methods have been developed to combine observational data and chemical transport model (CTM) results. Our approach focuses on...

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Detalles Bibliográficos
Autores principales: Senthilkumar, Niru, Gilfether, Mark, Metcalf, Francesca, Russell, Armistead G., Mulholland, James A., Chang, Howard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765984/
https://www.ncbi.nlm.nih.gov/pubmed/31505818
http://dx.doi.org/10.3390/ijerph16183314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765984/
https://www.ncbi.nlm.nih.gov/pubmed/31505818
http://dx.doi.org/10.3390/ijerph16183314

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