Data assimilation of ambient concentrations of multiple air pollutants using an emission-concentration response modeling framework

Data assimilation for multiple air pollutant concentrations has become an important need for modeling air quality attainment, human exposure and related health impacts, especially in China that experiences both PM(2.5) and O(3) pollution. Traditional data assimilation or fusion methods are mainly fo...

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Detalles Bibliográficos
Autores principales: Xing, Jia, Li, Siwei, Ding, Dian, Kelly, James T., Wang, Shuxiao, Jang, Carey, Zhu, Yun, Hao, Jiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787966/
https://www.ncbi.nlm.nih.gov/pubmed/33425379
http://dx.doi.org/10.3390/atmos11121289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787966/
https://www.ncbi.nlm.nih.gov/pubmed/33425379
http://dx.doi.org/10.3390/atmos11121289

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