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Evaluating Simulated Primary Anthropogenic and Biomass Burning Organic Aerosols During Milagro: Implications for Assessing Treatments of Secondary Organic Aerosols : Volume 9, Issue 16 (31/08/2009)

By Fast, J.

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Book Id: WPLBN0003994985
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File Size: Pages 25
Reproduction Date: 2015

Title: Evaluating Simulated Primary Anthropogenic and Biomass Burning Organic Aerosols During Milagro: Implications for Assessing Treatments of Secondary Organic Aerosols : Volume 9, Issue 16 (31/08/2009)  
Author: Fast, J.
Volume: Vol. 9, Issue 16
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Hodzic, A., Herndon, S. C., Wiedinmyer, C., Huey, G., Jayne, J. T., Song, C.,...Foy, B. D. (2009). Evaluating Simulated Primary Anthropogenic and Biomass Burning Organic Aerosols During Milagro: Implications for Assessing Treatments of Secondary Organic Aerosols : Volume 9, Issue 16 (31/08/2009). Retrieved from http://www.ebooklibrary.org/


Description
Description: Pacific Northwest National Laboratory, Richland, Washington, USA. Simulated primary organic aerosols (POA), as well as other particulates and trace gases, in the vicinity of Mexico City are evaluated using measurements collected during the 2006 Megacity Initiative: Local and Global Research Observations (MILAGRO) field campaigns. Since the emission inventories, transport, and turbulent mixing will directly affect predictions of total organic matter and consequently total particulate matter, our objective is to assess the uncertainties in predicted POA before testing and evaluating the performance of secondary organic aerosol (SOA) treatments. Carbon monoxide (CO) is well simulated on most days both over the city and downwind, indicating that transport and mixing processes were usually consistent with the meteorological conditions observed during MILAGRO. Predicted and observed elemental carbon (EC) in the city was similar, but larger errors occurred at remote locations since the overall CO/EC emission ratios in the national emission inventory were lower than in the metropolitan emission inventory. Components of organic aerosols derived from Positive Matrix Factorization of data from several Aerodyne Aerosol Mass Spectrometer instruments deployed both at ground sites and on research aircraft are used to evaluate the model. Modeled POA was consistently lower than the measured organic matter at the ground sites, which is consistent with the expectation that SOA should be a large fraction of the total organic matter mass. A much better agreement was found when modeled POA was compared with the sum of primary anthropogenic and biomass burning components derived from Positive Matrix Factorization (PMF) on most days, especially at the surface sites, suggesting that the overall magnitude of primary organic particulates released was reasonable. However, simulated POA from anthropogenic sources was often lower than primary anthropogenic components derived from PMF, consistent with two recent reports that these emissions are underestimated. The modeled POA was greater than the total observed organic matter when the aircraft flew directly downwind of large fires, suggesting that biomass burning emission estimates from some large fires may be too high.

Summary
Evaluating simulated primary anthropogenic and biomass burning organic aerosols during MILAGRO: implications for assessing treatments of secondary organic aerosols

Excerpt
Aiken, A. C., DeCarlo, P. F., Kroll, J. H., Worsnop, D. R., Huffman, J. A., Docherty, K., Ulbrich, I. M., Mohr, C., Kimmel, J. R., Sueper, D., Zhang, Q., Sun, Y., Trimborn, A., Northway, M., Ziemann, P. J., Canagaratna, M. R., Onasch, T. B., Alfarra, R., Prevot, A. S. H. Dommen, J. Duplissy, J., Metzger, A., Baltensperger, U., and Jimenez, J. L.: O/C and OM/OC ratios of primary, secondary, and ambient organic aerosols with high resolution time-of-flight aerosol mass spectrometry, Environ. Sci. Technol., 42, 4478–4485, doi:10.1021/es703009q, 2008.; Amato, F., Pandolfi, M., Viana, M., Querol, X., Alastuey, A., and Moreno, T.: Spatial and chemical patterns of PM10 in road dust deposited in urban environment, Atmos. Environ. 43, 1650–1659, 2009.; Baumgarder, D., Grutter, M., Allan, J., Ochoa, C., Rappenglueck, B., Russell, L. M, and Arnott, P: Evolution of anthropogenic pollution at the top of the regional mixed layer over the central Mexico plateau, Atmos. Chem. Phys., 3265–3306, 2009.; Bei, N., de Foy, B., Lei, W., Zavala, M., and Molina, L. T.: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys, 8, 7353–7366, 2008.; Binkowski, F. S. and Shankar U.: The Regional Particulate Matter Model, 1, Model description and preliminary results, J. Geophys. Res., 100, 26191–26209, 1995.; CAM (Comisión Ambiental Metropolitana): Inventario de Emissiones 2002 de la Zona Metropolitana del Valle de Mexico, Mexico, 2004.; Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M. R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H., Middlebrook, A., Delia, A., Williams, L. R., Trimborn, A. M., Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P., and Worsnop, D. R.: Chemical and microphysical characterization of ambient aerosols with the Aerodyne Aerosol Mass Spectrometer, Mass. Spec. Rev., 26, 183–222, 2007.; Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and Shankar, U.: Modal aerosol dynamics model for Europe: Development and first applications, Atmos. Environ., 32, 2981–2999, 1998.; Aiken, A. C., Salcedo, D., Cubison, M. J., de Foy, B., Wiedinmyer, Huffman, C. J., DeCarlo, P. F., Ulbrich, I. M., Docherty, K. S., Sueper, D., Kimmel, J. R., Worsnop, D. R., Trimborn, A., Northway, M., Wehrli, M. N., Szidat, S., Prevot, A., Baltensperger, U., Noda, J., Wacker, L., Stone, E. A., Schauer, J. J., Volkamer, R., Fortner, E., Knighton, B., Wang, J., Laskin, A., Zheng, J., Zhang, R., Gaffney, J., Marley, N. A., Querol, X., Paredes-Miranda, G., Arnott, W. P., Molina, L. T., Sosa, G., and Jimenez, J. L.: Mexico City aerosol analysis during MILAGRO using high resolution aerosol mass spectrometry at the urban supersite (T0). Part 1: Fine Particle Composition and Organic Source Apportionment, Atmos. Chem. Phys. Discuss., 9, 8377–8427, 2009.; Christian, T. J., Yokelson, R. J., Cardenas, B., Molina, L. T., Engling, G., and Hsu. S.-C.: Trace gas and particulate emissions from domestic and industrial biofuel use and garbage burning in central Mexico, Atmos. Chem. Phys. Discuss., 9, 10101–10152, 2009.; Chapman, E. G., Gustafson Jr., W. I., Easter, R. C., Barnard, J. C., Ghan, S. J., Pekour, M. S., and Fast, J. D.: Coupling aerosols-cloud-radiative processes in the WRF-chem model: Investigating the radiative impact of large point sources, Atmos. Chem. Phys., 9, 945–964, 2009.; Cross, E. S., Slowik, J. G., Davidovits, P., Allan, J. D., Worsnop, D. R., Jayne, J. T., Lewis, D. K., Canagaratna, M., and Onasch, T. B.: Laboratory and ambient particle density determinations using light scattering in conjunction with aerosol mass spectrometry, Aerosol Sci. Technol., 41, 343–359, doi:10.1080/02786820701199736, 2007.; DeCarlo, P., Slowik, J. G., Worsnop, D. R., Davidovits, P., and Jimenez, J. L.: Particle morphology and density characterization by combined mobility and aerodynamic diameter measurements, Part 1: Theory, Aerosol Sci. Technol., 38, 1185–1205, doi:10.10

 

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