You are here:
“Impact of CB6 and CB05TU chemical mechanisms on air quality”
Citation:
Sarwar, G., J. Godowitch, F. Liu, AND G. Yarwood. “Impact of CB6 and CB05TU chemical mechanisms on air quality”. Presented at Presentation at the CMAS Conference, Chapel Hill, NC, October 28 - 30, 2013.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA mission to protect human health and the environment. AMAD research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.
Description:
“Impacts of CB6 and CB05TU chemical mechanisms on air quality”In this study, we incorporate the newly developed Carbon Bond chemical mechanism (CB6) into the Community Multiscale Air Quality modeling system (CMAQv5.0.1) and perform air quality model simulations with the CB6 and the existing Carbon Bond 2005 chemical mechanism with updated toluene chemistry (CB05TU) for July, 2006. The CB6 reduces the monthly-mean organic nitrate by 22%, secondary oxidized nitrogen species by 10%, methyl hydroperoxide by 36%, and peroxyacetic acid by 69% compared to those obtained with the CB05TU. However, it enhances the monthly-mean hydroxyl radical by 25%, ozone by 3%, inorganic nitrate by 16%,and sulfate by 6% compared to that obtained with the CB05TU. CB6 predicted sulfate agree better with observed data. CB6 predicted daily maximum 8-hr O3 also agree better with the observed data at the higher range of observed values.