Simulation of PM10 Source Apportionment at An Urban Site in Southern Taiwan by a Gaussian Trajectory Model
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Simulation of PM10 Source Apportionment at An Urban Site in Southern Taiwan by a Gaussian Trajectory Model

Authors: Chien-Lung Chen, Jeng-Lin Tsai, Feng-Chao Chung, Su-Ching Kuo, Kuo-Hsin Tseng, Pei-Hsuan Kuo, Li-Ying Hsieh, Ying I. Tsai

Abstract:

This study applied the Gaussian trajectory transfer-coefficient model (GTx) to simulate the particulate matter concentrations and the source apportionments at Nanzih Air Quality Monitoring Station in southern Taiwan from November 2007 to February 2008. The correlation coefficient between the observed and the calculated daily PM10 concentrations is 0.5 and the absolute bias of the PM10 concentrations is 24%. The simulated PM10 concentrations matched well with the observed data. Although the emission rate of PM10 was dominated by area sources (58%), the results of source apportionments indicated that the primary sources for PM10 at Nanzih Station were point sources (42%), area sources (20%) and then upwind boundary concentration (14%). The obvious difference of PM10 source apportionment between episode and non-episode days was upwind boundary concentrations which contributed to 20% and 11% PM10 sources, respectively. The gas-particle conversion of secondary aerosol and long range transport played crucial roles on the PM10 contribution to a receptor.

Keywords: back trajectory model, particulate matter, sourceapportionment

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077375

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References:


[1] Y. I. Tsai, S.-C. Kuo, W.-J. Lee, C.-L. Chen, and P.-T. Chen, "Long-term visibility trends in one highly urbanized, one highly industrialized, and two rural areas of Taiwan," Science of the Total Environment, vol.382 (2-3), pp.324-341, Sep. 2007.
[2] J. Chen, Q. Ying, and M. J. Kleeman, "Source apportionment of visual impairment during the California regional PM10/PM2.5 air quality study," Atmospheric Environment, vol. 43, pp.6136-6144, 2009.
[3] Y. Jia, A. L. Clements, and M. P. Fraser, "Saccharide composition in atmospheric particulate matter in the southwest US and estimates of source contributions," Journal of Aerosol Science, vol. 41, pp.62ÔÇö73, 2010.
[4] J. P. Dawson, P. N. Racherla, B. H. Lynn, P. J. Adams and S. N. Pandis, "Simulating present-day and future air quality as climate changes: Model evaluation," Atmospheric Environment, vol. 42, pp. 4551-4566, 2008
[5] E. Galarneau, "Source specificity and atmospheric processing of airborne PAHs: Implications for source apportionment," Atmospheric Environment, vol. 42, pp. 8139-8149, 2008.
[6] B. J. Tsuang, "Quantification on the source/receptor relationship of primary pollutants and secondary aerosols by a Gaussian plume trajectory model: part I - theory," Atmospheric Environment, vol. 37, pp.3981-3991, 2003.
[7] C.-L. Chen, B.-J. Tsuang, R.-C. Pan, C.-Y. Tu, J.-H. Liu, P.-L. Huang, H. Bai, M.-T. Cheng, "Quantification on source/receptor relationship of primary pollutants and secondary aerosols from ground sources-Part II. Model description and case study," Atmospheric Environment, vol. 36 , pp. 421-434, 2002.
[8] Environmental Protection Agency, United States (EPA/US), "Industrial Source Complex (ISC3) Dispersion ModelsÔÇöUser-s Guide II. Description of Model Algorithms," EPA Publication No. EPA-454/B-95-003b. US Environmental Protection Agency, Research Triangle Park, NC., 1995
[9] B. J. Tsuang, C. L. Chen, C. H. Lin, M. T. Cheng, Y. I. Tsai, C. P. Chio, R. C. Pan and P.H. Kuo, "Quantification on the source/receptor relationship of primary pollutants and secondary aerosols by a Gaussian plume trajectory model: part II. Case study," Atmospheric Environment, vol. 37, pp.3993-4006, 2003a.
[10] B. J. Tsuang, C. T. Lee, M. T. Cheng, N. H. Lin, Y. C. Lin, C. L. Chen, C. M. Peng and P. H. Kuo, "Quantification on the source/receptor relationship of primary pollutants and secondary aerosols by a Gaussian plume trajectory model: part III - Asian dust-storm periods," Atmospheric Environment, vol. 37, pp. 4007-4017, 2003b.
[11] Y. I. Tsai and C. L. Chen, "Atmospheric aerosol composition and source apportionments to aerosol in southern Taiwan," Atmospheric Environment, vol. 40, pp. 4751-4763, 2006.
[12] CTCI, "Update and Management for Air Pollution Emission Inventory and Estimation for Air Pollution Degradation of GNP. Report. Environmental Protection Administration, Taiwan. EPA-92-FA11-03-D039, 2003 (in Chinese).
[13] A. Stohl, "Computation, accuracy and applications of trajectories-a review and bibliography," Atmospheric Environment, vol. 32, pp. 947-966, 1998.
[14] P. Salvador, B. Artíñano, C. Pio, J. Afonso, M. Legrand, H. Puxbaum, S. Hammer, "Evaluation of aerosol sources at European high altitude background sites with trajectory statistical methods," Atmospheric Environment, vol. 44, pp. 2316-2329, 2010.