HR: 1340h
AN: A23C-1470    [Abstracts]
TI: Simulating Inorganic Aerosol Components Using ISORROPIA II in a Chemical Transport Model (PMCAMx) - Evaluation for the MILAGRO Campaign 2006 in Mexico City
AU: * Karydis, V A
EM: vlkarydis@chemeng.upatras.gr
AF: Dept. of Chemical Engineering, University of Patras, 1 Karatheodori,Rio, Patra, 26504, Greece
AU: Tsimpidi, A P
EM: tsimpidi@chemeng.upatras.gr
AF: Dept. of Chemical Engineering, University of Patras, 1 Karatheodori,Rio, Patra, 26504, Greece
AU: Nenes, A
EM: nenes@eas.gatech.edu
AF: School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0100, United States
AU: Nenes, A
EM: nenes@eas.gatech.edu
AF: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0340, United States
AU: Pandis, S N
EM: spyros@chemeng.upatras.gr
AF: Dept. of Chemical Engineering, University of Patras, 1 Karatheodori,Rio, Patra, 26504, Greece
AU: Zavala, M
EM: miguelz@MIT.EDU
AF: Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Cambridge, MA 02139, United States
AU: Zavala, M
EM: miguelz@MIT.EDU
AF: Molina Center for Energy and the Environment (MCE2), 3262 Holiday Ct., Suite 2001, La Jolla, CA 92037, United States
AU: Lei, W
EM: wflei@MIT.EDU
AF: Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Cambridge, MA 02139, United States
AU: Lei, W
EM: wflei@MIT.EDU
AF: Molina Center for Energy and the Environment (MCE2), 3262 Holiday Ct., Suite 2001, La Jolla, CA 92037, United States
AU: Molina, L T
EM: ltmolina@MIT.EDU
AF: Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Cambridge, MA 02139, United States
AU: Molina, L T
EM: ltmolina@MIT.EDU
AF: Molina Center for Energy and the Environment (MCE2), 3262 Holiday Ct., Suite 2001, La Jolla, CA 92037, United States
AB: Aerosols have a significant role in the atmosphere having adverse impacts on human health and directly affecting air quality, visibility and climate change. One of the most challenging tasks for the available models is the prediction of the partitioning of the semivolatile inorganic aerosol components (ammonia, nitric acid, hydrochloric acid, etc) between the gas and aerosol phases. Moreover, the effects of mineral aerosols in the atmosphere remain largely unquantified. As a result, most current models have serious difficulties in reproducing the observed particulate nitrate and chloride concentrations. The aerosol thermodynamic model ISORROPIA has been improved as it now simulates explicitly the chemistry of Ca, Mg, and K salts and is linked to PMCAMx (Gaydos et al., 2007). PMCAMx also includes the inorganic aerosol growth module (Gaydos et al., 2003; Koo et al., 2003a) and the aqueous-phase chemistry module (Fahey and Pandis, 2001). The hybrid approach (Koo et al., 2003b) for modeling aerosol dynamics is applied in order to accurately simulate the inorganic components in coarse mode. This approach assumes that the smallest particles are in equilibrium while the condensation/evaporation equation is solved for the larger ones. PMCAMx is applied in Mexico City Metropolitan Area (MCMA) covering a 180x180x6 km region. The emission inventory used has as a starting point the MCMA 2004 official emissions inventory (CAM, 2006) and includes more accurate dust and NaCl emissions. The March 2006 dataset (MILAGRO Campaign) is used to evaluate the inorganic aerosol module of PMCAMx in order to test our understanding of aerosol thermodynamics and the equilibrium assumption. Gaydos, T., Pinder, R., Koo, B., Fahey, Κ., Yarwood, G., and Pandis, S. N., (2007). Development and application of a three-dimensional Chemical Transport Model, PMCAMx. Atmospheric Environment, 41, 2594- 2611. Gaydos, T., Koo, B., and Pandis, S. N., (2003). Development and application of an efficient moving sectional approach for the solution of the atmospheric aerosol condensation/evaporation equations. Atmospheric Environment, 37, 3303-3316. Fahey, K. and Pandis, S. N., (2001). Optimizing model performance: variable size resolution in cloud chemistry modelling. Atmospheric Environment 35, 4471-4478. Koo, B., Pandis S. N., and Ansari, A. (2003a). Integrated approaches to modelling the organic and inorganic atmospheric aerosol components. Atmospheric Environment, 37, 4757-4768. Koo, B., Gaydos, T.M., Pandis, S.N., (2003b). Evaluation of the equilibrium, hybrid, and dynamic aerosol modeling approaches. Aerosol Science and Technology 37, 53–64.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting