Grantee Research Project Results
Development and Application of an Air Quality Modeling System with Integrated Meteorology, Chemistry, and Emissions
EPA Grant Number: R825388Title: Development and Application of an Air Quality Modeling System with Integrated Meteorology, Chemistry, and Emissions
Investigators: Xiu, Aijun , Mathur, Rohit
Current Investigators: Xiu, Aijun , Mathur, Rohit , Hanna, Adel , Coats, Carlie J.
Institution: MCNC / North Carolina Supercomputing Center
EPA Project Officer: Hahn, Intaek
Project Period: October 1, 1996 through September 30, 1999
Project Amount: $372,830
RFA: Exploratory Research - Air Engineering (1996) RFA Text | Recipients Lists
Research Category: Land and Waste Management , Air , Safer Chemicals
Description:
The exploratory research described in this project deals with the development of a fully-integrated, physically and numerically consistent, regional-scale coupled atmospheric dynamics and chemistry modeling system. There are three major thrusts to the proposed research: (1) the development of the integrated meteorology, emission, chemistry modeling system; (2) the testing and evaluation of the system; and (3) the investigation and development of an RonlineS feedback methodology to account for direct radiative effects of atmospheric aerosols. The systematic development, and application and analysis activities, outlined in this proposal, will not only provide a detailed study of the quantitative impacts of the traditional "offline" chemical calculation methodology on predictions from air quality models, but also help alleviate several of the shortcomings of existing atmospheric modeling systems, and consequently reduce the corresponding uncertainties in model predictions. The development of the "online" feedback system would provide a basis for future regional climate studies where linkages between aerosol loading and cloud formation can be investigated. Further, the development of the proposed integrated system provides opportunities for its use as an air pollution prediction system to provide real-time forecasting of ozone air quality.Publications and Presentations:
Publications have been submitted on this project: View all 8 publications for this projectSupplemental Keywords:
atmospheric, quantitative, air pollution, ozone, modeling system, aerosol, RFA, Scientific Discipline, Air, particulate matter, air toxics, Environmental Chemistry, Environmental Monitoring, tropospheric ozone, Engineering, meteorology, air quality models, ambient air, emission-based modeling, ozone, chemical composition, air pollution models, air quality data, atmospheric aerosols, atmospheric aerosol particles, atmospheric chemistry, engineering modelsProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.