Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Estimated Contributions of Emissions Controls, Meteorological Factors, Population Growth, and Changes in Baseline Mortality to Reductions in Ambient [Formula: see text] and [Formula: see text]-Related Mortality in China, 2013–2017
por: Ding, Dian, et al.
Publicado: (2019) -
Concentrated poverty, ambient air pollution, and child cognitive development
por: Wodtke, Geoffrey T., et al.
Publicado: (2022) -
Ambient air pollutant concentrations and asthma-related hospital admissions during COVID-19 transport restrictions
por: Kelly, C., et al.
Publicado: (2022) -
Case Report: Supraventricular Arrhythmia after Exposure to Concentrated Ambient Air Pollution Particles
por: Ghio, Andrew J., et al.
Publicado: (2011) -
COVID-19 prevalence and fatality rates in association with air pollution emission concentrations and emission sources()
por: Hendryx, Michael, et al.
Publicado: (2020)