首页 | 官方网站   微博 | 高级检索  
     


A computationally efficient model for estimating background concentrations of NOx,NO2, and O3
Affiliation:1. Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA;2. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK;3. Department of Physics, University of Ghana, Legon, Ghana;4. MRC Centre for Environment and Health, Imperial College London, London, UK;5. Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK;6. Regional Institute for Population Studies, University of Ghana, Accra, Ghana;7. NIHR HPRU in Environmental Exposures and Health, Imperial College London, UK;8. Harvard T.H. Chan School of Public Health, Boston, MA, USA;9. Institute of Statistical, Social and Economic Research, University of Ghana, Legon, Ghana;10. Department of Geography and Resource Development, University of Ghana, Legon, Ghana;11. Institute for Health and Social Policy, McGill University, Montreal, Canada;12. Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada;13. School of Population and Public Health, The University of British Columbia, Vancouver, Canada
Abstract:
Keywords:Air quality  Background concentration  Species age  Lagrangian model  Long-range transport  Urban scale
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号