Abstract
For the last fifteen years, the Office of Research and Development (ORD) of the U. S. Environmental Protection Agency (EPA) has been developing three-dimensional Eulerian based air quality models (AQMs) to study air quality problems, such as urban and regional tropospheric ozone and regional acid deposition. These AQMs simulate comprehensively atmospheric processes such as chemical transformations, transports, and removal of pollutants and their precursors. Model application experience with second generation air quality modeling systems has revealed several shortcomings such as slow execution speed, difficulty in implementing improved science algorithms in the model, and complexity in data exchange among system submodels. Byun et al. (1995) listed some of the shortcomings of the present AQM modeling systems in detail.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
