An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment
Elyse A. Pennington,Yuan Wang,Benjamin C. Schulze,Karl M. Seltzer,Jiani Yang,Bin Zhao,Zhe Jiang,Hongru Shi,Melissa Venecek,Daniel Chau,Benjamin N. Murphy,Christopher M. Kenseth,Ryan X. Ward,Havala O. T. Pye,and John H. Seinfeld
Elyse A. Pennington
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China
Melissa Venecek
Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA
Daniel Chau
Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic...
