Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
권호 표지
DOI QR코드

DOI QR Code

A Study for Spatial Distribution of Principal Pollutants in Daegu Area Using Air Pollution Monitoring Network Data

도시대기측정망 자료를 이용한 대구지역 대기오염물질의 공간분포에 관한 연구

  • Ju, Jae-Hee (Department of Environmental Engineering, Daegu University) ;
  • Hwang, In-Jo (Department of Environmental Engineering, Daegu University)
  • 주재희 (대구대학교 환경공학과) ;
  • 황인조 (대구대학교 환경공학과)
  • Received : 2011.06.07
  • Accepted : 2011.08.25
  • Published : 2011.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

The objective of this study was to estimate the trends of each pollutant using the air pollution monitoring networks data from January 2005 to December 2008 in Daegu area. Also, the spatial characteristics of each pollutant were determined using the Pearson correlation coefficients and COD (coefficients of divergence). In this study, the trends of hourly, monthly, seasonal, and total average concentrations of each pollutant for the 10 sites were analyzed. The Ihyeon site showed highest concentration for the $SO_2$, $NO_2$, and PM10}. In the case of $O_3$, the Jisan site showed highest concentration among the other sites. Also, industrial area presented highest concentration for the $SO_2$, CO, and PM10. On the other hand, $NO_2$ showed highest in commercial area. The IDW (inverse distance weighting) method was used to estimate characteristics of spatial distribution. The results provide identify spatial distribution for each pollutant. Also, the Pearson correlation coefficients and COD values provide spatial variability among the monitoring sites. The COD of each pollutant showed very low values for all of the sites pairs. On the other hand, the Pearson correlation coefficients showed high values for all of the sites pairs. Finally, analysis of spatial variability can be used to characterize the spatial uniformity and similarity of concentrations from each pollutant.

Keywords

References

  1. 기상청(2009) 기상연감(2008).
  2. 대구광역시(2010) 2010 환경백서; 대구의 환경.
  3. 환경부(2006) 환경백서.
  4. 환경부.국립환경과학원(2009) 대기환경연보(2008).
  5. Chen, C.H., W.L. Lin, and C.H. Chen (2006) Development of a multiple objective planning theory and system for sustainable air quality monitoring networks, Science of the Total Environment, 354, 1-19. https://doi.org/10.1016/j.scitotenv.2005.08.018
  6. Demerjian, K.L. (2000) A review of national monitoring networks in North America, Atmospheric Environment, 34, 1861-1884. https://doi.org/10.1016/S1352-2310(99)00452-5
  7. Gramsch, E., F. Cereceda-Balic, P. Oyola, and D. von Baer (2006) Examination of pollution trends in Santiago de Chile with cluster analysis of PM10 and ozone data, Atmospheric Environment, 40(28), 5464-5475. https://doi.org/10.1016/j.atmosenv.2006.03.062
  8. Han, J.H., M.H. Lee, and Y.S. Ghim (2008) Cluster analysis of PM10 concentrations from urban air monitoring network in Korea during 2000 to 2005, Journal of Korean Society for Atmospheric Environment, 24(3), 300-309. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2008.24.3.300
  9. Handscombe, C.M. and D.M. Elsom (1982) Rationalisation of the national survey of air pollution monitoring network of the United Kingdom using spatial correlation analysis: A case-study of the greater London area, Atmospheric Environment, 16(5), 1061-1070. https://doi.org/10.1016/0004-6981(82)90195-0
  10. Hwang, I.J., P.K. Hopke, and J.P. Pinto (2008) Source apportionment and spatial distributions of coarse particles during the Regional Air Pollution Study, Environ. Sci. Technol., 42, 3524-3530. https://doi.org/10.1021/es0716204
  11. Ionescu, A., Y. Candau, E. Mayer, and I. Colda (2000) Analytical determination and classification of pollutant concentration fields using air pollution monitoring network data: Methodology and application in the Paris area, during episodes with peak nitrogen dioxide levels, Environmental Modelling & Software, 15, 565-573. https://doi.org/10.1016/S1364-8152(00)00042-6
  12. Jun, W., M.W. Arthur, and J.D. Ralph (2006) Exposure assessment of particulate matter air pollution before, during, and after the 2003 Southern California wildfires, Atmospheric Environment, 40, 3333-3348. https://doi.org/10.1016/j.atmosenv.2006.01.056
  13. Kim, C.H., I.S. Park, S.J. Lee, J.S, Kim, H.A. Jin, and H.G. Sung (2004) On the recent air pollution levels observed in the regional air monitoring network- High air pollution concentration episodes and their meteorological characteristics in 2002, Journal of Korean Society for Atmospheric Environment, 20 (2), 215-224. (in Korean with English abstract)
  14. Kim, T.O. and I.J. Hwang (2009) The study for characteristics and spatial distribution of carbonyl compounds at electronic industrial complex, Korean Journal of Odor Research and Engineering, 8(4), 179-187.
  15. Pitts, B.J.F. and J.N. Pitts (2000) Chemistry of the Upper and Lower Atmosphere, Academic Press.
  16. Rebert, L. and T. Derek (1992) Fundamentals of Spatial Information Systems, Academic Press.
  17. Silva, C. and A. Quiroz (2003) Optimization of the atmospheric pollution monitoring network at Santiago de Chile, Atmospheric Environment, 37(17), 2337-2345. https://doi.org/10.1016/S1352-2310(03)00152-3
  18. Wongphatarakul, V., S.K. Friedlander, and J.P. Pinto (1998) A comparative study of PM2.5 ambient aerosol chemical databases, Environ. Sci. Technol., 32, 3926-3934. https://doi.org/10.1021/es9800582
  19. Woo, J.H., S.T. Kim, and J.W. Kim (1997) Evaluation and complement of the representativeness of air quality monitoring stations using passive air samplers, Journal of Korea Air Pollution Research Association, 13(6), 415-426. (in Korean with English abstract)
  20. Yoo, E.C. and O.H. Park (2006) The assessment of air quality monitoring network considering the change of various environmental factors in Busan, Journal of Korean Society for Atmospheric Environment, 22(4), 405-420. (in Korean with English abstract)

Cited by

  1. A Proposal for the Upgrade of the Current Operating System of the Seoul's Atmospheric Monitoring Network Based on Statistical Analysis vol.29, pp.4, 2013, https://doi.org/10.5572/KOSAE.2013.29.4.447
  2. Regional Trends in Short-Term High Concentrations of Criteria Pollutants from National Air Monitoring Stations vol.29, pp.5, 2013, https://doi.org/10.5572/KOSAE.2013.29.5.545
  3. Distribution Characteristics of the Concentration of Ambient PM-10 and PM-2.5 in Daegu Area vol.36, pp.1, 2014, https://doi.org/10.4491/KSEE.2014.36.1.20
  4. The Effect of Construction on Ambient PM-10 in the Surrounding Area - Focusing on the Field Case Research - vol.41, pp.3, 2015, https://doi.org/10.5668/JEHS.2015.41.3.163