Air Quality Modeling in California
Author: Jianlin Hu
Publisher:
Published: 2012
Total Pages:
ISBN-13: 9781267656971
DOWNLOAD EBOOKA new generation of the source-oriented UCD/CIT air quality model was developed and applied to (1) investigate the impacts of diagnostic vs. prognostic meteorological fields on predicted particulate matter (PM) concentrations, (2) quantify the contribution of volatile organic compounds (VOCs) emitted from livestock feed to ozone (O3) formation, and (3) estimate primary PM exposure fields from ~900 sources for use in epidemiological studies. Diagnostic meteorological fields produced more accurate air quality predictions than the WRF prognostic fields during the winter episode of the California Regional PM10/PM2.5 Air Quality Study (CRPAQS), suggesting that diagnostic meteorological fields generated by a dense measurement network are the preferred choice for air quality model studies during relatively short stagnation periods in locations with complex topography. VOCs emitted from livestock feed contributed ~3.5 tons of the ground level peak O3 (8-hr average) in the San Joaquin Valley (SJV), and mobile VOC contributed ~12 tons in the 2000 summer episode of the Central California Ozone Study (CCOS). Primary PM0.1, PM1., and PM2.5 concentrations from ~900 sources predicted across California for a 7 year period (2000-06) are in good agreement with measured concentrations for EC and 9 trace elements in the PM2.5 size range and for mass and EC in the PM0.1 size range. Source apportionment results from the mechanistic air quality model are likewise in good agreement with receptor-based source apportionment calculations. The continuous PM0.1 and PM2.5 fields predicted by the source-oriented air quality model provide new information on trace composition and source origin of airborne particulate matter that will support future epidemiological studies for the health effects of air pollution.