Understanding of the Fate of Atmospheric Pollutants Using a Process Analysis Tool in a 3-D Regional Air Quality Model at a Fine Grid Scale

Abstract

The process analysis is performed for August and December, 2002 using the process analysis tool embedded in the Community Multiscale Air Quality (CMAQ) modeling system at a fine horizontal grid resolution of 4-km over an area in the southeastern U.S. that is centered at North Carolina. The objectives are to qunatify the contributions of major atmospheric processes to the formation of major air pollutants and provide the insights into photochemistry that governs the fate of these pollutants at a fine grid scale. The results show that emissions provide a dominant source for gases including ammonia (NH3), nitric oxide (NO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) and Particulate Matter (PM) species including fine PM (PM2.5) and its composition such as sulfate, elemental carbon, primary organic aerosol, and other inorganic fine PM in both months. While transport acts as a major sink for NH3, NO, and SO2 at most sites and PM2.5 and most of PM2.5 composition at urban sites, it provides a major source for nitric acid (HNO3) and ozone (O3) at most sites in both months, and secondary PM species in August and most PM species in December at rural and remote sites. Gas-phase chemistry serves as a source for NO2 and HNO3 but a sink for O3 at urban and suburban sites and for NO and SO2 at all sites. PM processes contribute to the formation of PM2.5 and nitrate () at the urban and suburban sites and secondary organic aerosol (SOA) at most sites in December and ammonium () in both months. They reduce formation at most sites in August and at rural and remote sites in December and the formation of PM2.5 and SOA at most sites in August. Dry deposition is an important sink for all these species in both months. The total odd oxygen (Ox) production and the total hydroxyl radical (OH) reacted are much higher at urban and suburban sites than at rural sites. Significant amounts of OH are consumed by biogenic volatile organic compounds (BVOCs) in the rural and remote areas and a combination of anthropogenic VOCs (AVOCs) and BVOCs in urban and subareas areas in August and mainly by AVOCs in December. The amount of NO2 produced by the reactions of hydroperoxy radical (HO2) is similar to that of organic peroxy radical (RO2) at all sites in August but higher than that by the reactions of RO2 inDecember. The production rate of HNO3 due to the reaction of OH with NO2 dominates in both months. The ratio of the production rates of hydrogen peroxide (H2O2) and HNO3 (PH2O2/PHNO3) is a more robust photochemical indicator than the ratios of their mixing ratios (H2O2/HNO3) and the afternoon mixing ratios of NOy in both months, and it is highly sensitive to the horizontal grid resolution in August. The use of PH2O2/PHNO3 simulated at 4-km indicates a VOC-limited O3 chemistry in urban and suburban areas in August that was not captured in previous model simulations at a coarser grid resolution.

Share and Cite:

Y. Zhang and S. Wu, "Understanding of the Fate of Atmospheric Pollutants Using a Process Analysis Tool in a 3-D Regional Air Quality Model at a Fine Grid Scale," Atmospheric and Climate Sciences, Vol. 3 No. 1, 2013, pp. 18-30. doi: 10.4236/acs.2013.31004.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] J.-C. C. Jang, H. E. Jeffries and S. Tonnesen, “Sensitivity of Ozone to Model Grid Resolution—II. Detailed Process Analysis for Ozone Chemistry,” Atmospheric Environment, Vol. 29, No. 21, 1995, pp. 3101-3114. doi:10.1016/1352-2310(95)00119-J
[2] H. E. Jeffries and S. Tonnesen, “A Comparison of Two Photochemical Reaction Mechanisms Using Mass Balance and Process Analysis,” Atmospheric Environment, Vol. 28, No. 18, 1994, pp. 2991-3003. doi:10.1016/1352-2310(94)90345-X
[3] Y. Zhang, X.-Y. Wen, K. Wang, K. Vijayaraghavan and M. Z. Jacobson, “Probing into Regional O3 and Particulate Matter Pollution in the United States: 2. An Examination of Formation Mechanisms through a Process Analysis Technique and Sensitivity Study,” Journal of Geophysical Research, Vol. 114, No. D22, 2009, pp. 1-31. doi:10.1029/2009JD011900
[4] Y. Zhang, K. Vijayaraghavan and C. Seigneur, “Evaluation of Three Probing Techniques in a Three-Dimensional Air Quality Model,” Journal of Geophysical Research, Vol. 110, No. D2, 2005, pp. 1-21. doi:10.1029/2004JD005248
[5] S. C. Yu, R. Mathur and K. Schere, “Evaluation of Real-Time PM2.5 Forecasts and Process Analysis for PM2.5 Formation over the Eastern United States Using the Eta-CMAQ Forecast Model during the 2004 ICARTT Study,” Journal of Geophysical Research, Vol. 113, No. D6, 2008, pp. 1-20. doi:10.1029/2007JD009226
[6] S. C. Yu, R. Mathur, K. Schere, D. W. Kang and D. Tong, “A Study of the Ozone Formation by Ensemble Back Trajectory-Process Analysis Using the Eta-CMAQ Forecast Model over the Northeastern U.S. during the 2004 ICARTT Period,” Atmospheric Environment, Vol. 43, No. 2, 2009, pp. 355-363. doi:10.1016/j.atmosenv.2008.09.079
[7] K. Wang, Y. Zhang, C. Jang, S. Phillips and B. Wang, “Modeling Intercontinental Air Pollution Transport over the Trans-Pacific Region in 2001 Using the Community Multiscale Air Quality Modeling System,” Journal of Geophysical Research, Vol. 114, No. D4, 2009, pp. 1-23. doi:10.1029/2008JD010807
[8] X.-H. Liu, Y. Zhang, J. Xing, Q. Zhang, K. Wang, D. G. Streets, C. J. Jang, W.-X. Wang and J.-M. Hao, “Understanding of Regional Air Pollution over China Using CMAQ: Part II. Process Analysis and Ozone Sensitivity to Precursor Emissions,” Atmospheric Environment, Vol. 44, No. 20, 2010, pp. 3719-3727. doi:10.1016/j.atmosenv.2010.03.036
[9] P. Liu, Y. Zhang, S. C. Yu and K. L. Schere, “Use of a Process Analysis Tool for Diagnostic Study on Fine Particulate Matter Predictions in the U.S. Part II: Process Analyses and Sensitivity Simulations,” Atmospheric Pollution Research, Vol. 2, No. 1, 2010, pp. 61-71. doi:10.5094/APR.2011.008
[10] S.-Y. Wu, S. Krishnan, Y. Zhang and V. Aneja, “Modeling Atmospheric Transport and Fate of Ammonia in North Carolina, Part I. Evaluation of Meteorological and Chemical Predictions,” Atmospheric Environment, Vol. 42, No. 14, 2008, pp. 3419-3436. doi:10.1016/j.atmosenv.2007.04.031
[11] G. A. Grell, J. Dudhia and D. R. Stauffer, “A Description of the Fifth Generation Penn State/NCAR Mesoscale Model (MM5),” National Center for Atmospheric Research, Boulder, 1994.
[12] M. R. Houyoux, J. M. Vukovich, C. J. Coats Jr., N. W. Wheeler and P. S. Kasibhatla, “Emission Inventory Development and Processing for the Seasonal Model for Regional Air Quality (SMRAQ) Project,” Journal of Geophysical Research, Vol. 105, No. D7, 2002, pp. 9079-9090. doi:10.1029/1999JD900975
[13] D. W. Byun and K. L. Schere, “Review of the Governing Equations, Computational Algorithms and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System,” Applied Mechanics Reviews, Vol. 59, No. 2, 2006, pp. 51-77. doi:10.1115/1.2128636
[14] S. Sillman, “The Use of NOy, H2O2, and HNO3 as Indicators for Ozone-NOx-Hydrocarbon Sensitivity in Urban Locations,” Journal of Geophysical Research, Vol. 100, No. D7, 1995, pp. 4175-4188. doi:10.1029/94JD02953
[15] G. S. Tonnesen and R. L. Dennis, “Analysis of Radical Propagation Efficiency to Assess Ozone Sensitivity to Hydrocarbons and NOx 1. Local Indicators of Instantaneous Odd Oxygen Production Sensitivity,” Journal of Geophysical Research, Vol. 105, No. D7, 2000, pp. 9213-9225. doi:10.1029/1999JD900371
[16] S. Sillman, D. He, C. Cardelino and R. E. Imhoff, “The Use of Photochemical Indicators to Evaluate Ozone-NOx-Hydrocarbon Sensitivity: Case Studies from Atlanta, New York, and Los Angeles,” Journal of the Air & Waste Management Association, Vol. 47, No. 10, 1997, pp. 642-652. doi:10.1080/10473289.1997.10464407
[17] G. S. Tonnesen and R. L. Dennis, “Analysis of Radical Propagation Efficiency to Assess Ozone Sensitivity to Hydrocarbons and NOx: 2. Long-lived Species as Indicators of Ozone Concentration Sensitivity,” Journal of Geophysical Research, Vol. 105, No. D7, 2000, pp. 9227-9241. doi:10.1029/1999JD900372
[18] M.-U. Hammer, B. Vogel and H. Vogel, “Findings on H2O2 /HNO3 as an Indicator of Ozone Sensitivity in Baden-Württemberg, Berlin-Brandenburg, and the Po Valley Based on Numerical Simulations,” Journal of Geophysical Research, Vol. 107, No. D22, 2002, pp. LOP 3-1-LOP 3-18. doi:10.1029/2000JD000211
[19] C.-H. Lu and J. S. Chang, “On the Indicator-Based Approach to Assess Ozone Sensitivities and Emissions Features,” Journal of Geophysical Research, Vol. 103, No. D3, 1998, pp. 3453-3462. doi:10.1029/97JD03128
[20] J. B. Milford, D. F. Gao, S. Sillman, P. Blossey and A. G. Russell, “Total Reactive Nitrogen (NOy) as an Indicator of the Sensitivity of Ozone to Reductions in Hydrocarbon and NOx Emissions,” Journal of Geophysical Research, Vol. 99, No. D2, 1994, pp. 3533-3542. doi:10.1029/93JD03224%%

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.