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Application of Semi-continuous Ambient Aerosol Collection System for Elemental Analysis

대기입자의 원소성분 배출특성연구를 위한 반-연속식 입자채취시스템 적용

  • Park, Seung-Shik (Department of Environmental Engineering, Chonnam National University) ;
  • Ko, Jae-Min (Department of Environmental Engineering, Chonnam National University) ;
  • Lee, Dong-Soo (Department of Chemistry, University of Yonsei)
  • Received : 2011.08.30
  • Accepted : 2012.01.04
  • Published : 2012.02.29

Abstract

Aerosol slurry samples were collected in 60-min interval using Korean Semi-continuous Elements in Aerosol Sampler (KSEAS) between May 19 and June 6, 2010 at an urban site of Gwangju. The $PM_{2.5}$ samples were collected with a flow rate of 16.7 L/min and particles are grown by condensation of water vapor in a condenser maintained at ${\sim}5^{\circ}C$ after saturation by direct injection of steam. The resulting droplets are collected in a liquid slurry with a airdroplet separator. Concentrations of 16 elements (Al, Fe, Mn, Ca, K, Cu, Zn, Pb, Cd, Cr, Ti, V, Ni, Co, As, Se) in the collected slurry samples were determined off-line by ICP-MS. KSEAS sample analysis encompassed the sampling periods for which 24-hr average elemental species concentrations were calculated for comparison with those derived from 24-hr integrated filter samples. Relationship between elemental species measured by two methods indicated high correlation coefficients (r), mostly greater than r of 0.80. However, we note that concentrations of Al, K, Ca, Mn, and Fe, which are often associated with crustal elemental particles, in the KSEAS samples, were substantially lower (1.4~11 times) than those found in the typical filter-based samples. This discrepancy is probably due to difficulties in transferring insoluble dust particles to the collection vials in the KSEAS. Temporal profiles of elemental concentrations indicate that some transient events in their concentrations are observed over the sampling periods. For the elemental species studied, atmospheric concentrations during the transient events increased by factors of 4 in Mn~80 in Zn, compared to their background levels. Principle component analyses were applied to the hourly KSEAS data sets to identify sources affecting the concentrations of the metal constituents observed. In this study, we conclude that hourly measurements for particle-bound elemental constituents were extremely useful for revealing the short-term variability in their concentrations and developing insights into their sources.

Keywords

References

  1. Baird, C. (1995) Environmental Chemistry, 2nd Ed., W.H. Freeman and Co., U.S.A., 347-381.
  2. Carter, J.D., A.G. Gjop, J.M. Samet, and R.B. Devlin (1997) Cytokine production by human airway epithelial cells after exposure to an air pollution particles is metal-dependent, Toxicol. Appl. Pharmacol., 46, 180-188.
  3. Choi, S.W. and H.D. Song (2000) Source characteristics of particulate trace metals in Daegu area, J. Korean Society for Atmos. Environ., 16(5), 469-475. (in Korean with English abstract)
  4. Gordon, G.E. (1988) Receptor models, Environ. Sci. Technol., 22, 1132-1142. https://doi.org/10.1021/es00175a002
  5. Hinds, W.C. (1982) Aerosol Technology: Properties, behavior, and measurement of airborne particles, John Wiley and Sons, New York.
  6. Hwang, I.J. (2010) Source identification and estimation of source apportionment of ambient PM2.5 at western national park site in USA, J. Korean Society for Atmos. Environ., 26(1), 21-33.(in Korean with English abstract) https://doi.org/10.5572/KOSAE.2010.26.1.021
  7. Kang, B.W., H.S. Lee, and H.K. Kim (2000) Source identification of fine particle (PM2.5) in Chongju using a chemical mass balance model, J. Korean Society for Atmos. Environ., 16(5), 477-485.(in Korean with English abstract)
  8. Kidwell, C.B. and J.M. Ondov (2001) Development and evaluation of a prototype system for collecting sub-hourly ambient aerosol for chemical analysis, Aerosol Sci. Technol., 35, 596-601. https://doi.org/10.1080/02786820118049
  9. Kidwell, C.B. and J.M. Ondov (2004) Elemental analysis of sub-hourly ambient aerosol collections, Aerosol Sci. Technol., 38, 205-218. https://doi.org/10.1080/02786820490261726
  10. Lee, D.S., B. Lee, and J.W. Eom (2011) A compact semi-continuous atmospheric aerosol sampler for elemental analysis: a preliminary result, Atmos. Pollut. Res., 2, 506-512. https://doi.org/10.5094/APR.2011.057
  11. Lioy, P.J., M.P. Zelenka, M.-D. Chenga, N.M. Reiss, and W.E. Wilson (1989) The effects of sampling duration of the ability to resolve source types using factor analysis, Atmos. Environ., 23, 239-254. https://doi.org/10.1016/0004-6981(89)90116-9
  12. Oguleia, D., P.K. Hopke, L. Zhou, P. Paaterob, S.S. Park, and J.M. Ondov (2005) Receptor modeling for multiple time resolved species: The Baltimore supersite, Atmos. Environ., 39, 3751-3762. https://doi.org/10.1016/j.atmosenv.2005.03.012
  13. Pancras, J.P., J.M. Ondov, and R. Zeisler (2005) Multi-element electrothermal AAS determination of 11 marker elements in fine ambient aerosol slurry samples collected with SEAS-II, Anal. Chim. Acta, 538, 303-312. https://doi.org/10.1016/j.aca.2005.01.062
  14. Pancras, J.P., J.M. Ondov, N. Poor, M.S. Landis, and R.K. Stevens (2006) Identification of sources and estimation of emission profiles from highly time-resolved pollutant measurements in Tampa, FL, Atmos. Environ., 40, S467-S481.
  15. Park, S.S., M.S. Bae, and Y.J. Kim (2001) Chemical composition and source apportionment of PM2.5 particles in the Sihwa area, Korea, J. Air and Waste Manage. Assoc., 51(3), 393-405. https://doi.org/10.1080/10473289.2001.10464277
  16. Park, S.S., J.P. Pancras, J.M. Ondov, and P. Noreen (2005) A new pseudo-deterministic multivariate receptor model for individual source apportionment using highly time-resolved ambient concentration measurements, J. Geophys. Res., 110, D07S15, doi:10.1029/2004JD004664.
  17. Park, S.S., J.P. Pancras, J.M. Ondov, and A. Robinson (2006) Application of the pseudo-deterministic receptor model to resolve power plant influences on air quality in Pittsburgh, Aerosol Sci. Technol., 40, 883-897. https://doi.org/10.1080/02786820600776352
  18. Park, S.S., Y.J. Kim, S.Y. Cho, and S.J. Kim (2007) Characterization of PM2.5 aerosols dominated by local pollution and Asian dust observed at an urban site in Korea during ACE-Asia project, J. Air & Waste Manage. Assoc., 57(4), 434-443. https://doi.org/10.3155/1047-3289.57.4.434
  19. Park, S.S. and J.M. Ondov (2010) Emission characteristics of elemental constituents in fine particulate matter using a semi-continuous measurement system, J. Korean Society for Atmos. Environ., 26(2), 190-201. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2010.26.2.190
  20. Sioutas, C. and P. Koutrakis (1996) Inertial separation of ultrafine particles using a condensational growth/ virtual impaction system, Aerosol Sci. Technol., 25, 424-436. https://doi.org/10.1080/02786829608965407
  21. Sioutas, C., E. Abt, J.M. Wolfson, P. Koutrakis (1999) Evaluation of the measurement performance of the scanning mobility particle sizer and aerodynamic particle sizer, Aerosol Sci. Technol., 30, 84-92. https://doi.org/10.1080/027868299304903
  22. Weber, R.J., D. Orsini, Y. Daun, Y.-N. Lee, P. Klotz, and F. Brechtel (2001). A particle-into-liquid collector for rapid measurements of aerosol chemical composition, Aerosol Sci. Technol., 35, 718-727. https://doi.org/10.1080/02786820152546761
  23. Weitkamp, E.A., E.M. Lipsky, P.J. Pancras, J.M. Ondov, A. Polidori, B.J. Turpin, and A.L. Robinson (2005) Fine particle emission profile for a large coke production facility based on highly time-resolved fence line measurements, Atmos. Environ., 39, 6719-6733. https://doi.org/10.1016/j.atmosenv.2005.06.028

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