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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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| Publicado no: | Atmosphere (Basel) |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7787966/ https://ncbi.nlm.nih.gov/pubmed/33425379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/atmos11121289 |
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