Air Quality Modelling and its Applications in Environmental Management provides information about air pollution and health impacts using modeling to illustrate observed features of air pollution, manage air pollution episodes, and understand the health impacts and co-benefits of air pollution mitigation. After a brief overview, the book works though a comprehensive analysis of different applications, including dust, acid rain, ozone sources and aerosol sources. This section also considers secondary aerosol sources and aerosol microphysics. The editors then explore adaptive grids in air quality modeling as well as modeling biogenic sources of air pollution.
The book wraps up with an examination of chemical data assimilation and health risk assessment. This text expertly integrates air quality modeling and its applications towards a better understanding of the essential role of air quality modelling in air pollution management and health risk assessment.
Table of Contents
General Perspective 1. Overview of Air Quality Modeling and Its Applications in Management and Health Risk Assessment
Development of Air Quality Models and Applications in Multiple Environmental Issues2. Air Quality Modelling and Asian Dust3. Air Quality Modelling and Acid Rain4. Air Quality Modelling and Ozone Sources5. Air Quality Modelling and Aerosol Sources6. Air Quality Modelling and Secondary Aerosol Formation7. Air Quality Modelling and Aerosol Microphysics8. Global Air Quality Modelling9. Two-Way Feedbacks in Air Quality Modelling10. Adaptive Grids in Air Quality Modelling11. Modelling Biogenic Sources of Air Pollution
Chemical data assimilation and health risk assessment12. Data Assimilation, Inversion of Sources and Ensemble Modelling13. Air Quality Reanalysis and Its Applications14. Health Risk Assessment with High Resolution Modelling and Reanalysis