Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
권호 표지
DOI QR코드

DOI QR Code

Statistical Analysis for Ozone Long-term Trend Stations in Seoul, Korea

통계적 기법을 적용한 서울의 오존 장기변동 대표측정소 선정

  • Shin, Hyejung (Climate and Air Quality Research Department, National Institute of Environmental Research) ;
  • Park, Jihoon (Climate and Air Quality Research Department, National Institute of Environmental Research) ;
  • Son, Jungseok (Research and Analysis Division, Seoul Metropolitan Air Quality Management Office) ;
  • Rho, Soona (Climate and Air Quality Research Department, National Institute of Environmental Research) ;
  • Hong, Youdeong (Climate and Air Quality Research Department, National Institute of Environmental Research)
  • 신혜정 (국립환경과학원 기후대기연구부) ;
  • 박지훈 (국립환경과학원 기후대기연구부) ;
  • 손정석 (수도권대기환경청 조사분석과) ;
  • 노순아 (국립환경과학원 기후대기연구부) ;
  • 홍유덕 (국립환경과학원 기후대기연구부)
  • Received : 2014.12.08
  • Accepted : 2015.02.24
  • Published : 2015.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study was conducted for the establishment of statistical method to determine the representative air quality monitoring station representing long-term ozone trends of Seoul. In this study, hourly ozone concentrations from 2002 to 2011 were used for further analysis. KZ-filter, correlation matrix, cluster analysis, and Kriging method were applied to select the representative station. The analysis based on correlation matrix found that long-term trend of ozone concentrations measured at Sinjung, Sadang, and Bun-dong showed a high correlation. The cluster analysis found that the former three stations belonged to the same cluster. The analysis based on Kriging method also showed that the former three stations were highly correlated with other stations in spatial distribution. Considering these results and the highest correlation coefficient of Sinjung station, the Sinjung station was the most suitable as the representative station used to understand the long-term ozone trend of Seoul. This result could be applied to understand long-term trend of other pollutants. Furthermore, this result can also be used to assess the appropriacy of spatial distribution of national air quality monitoring stations.

본 연구는 서울의 오존 장기변동 특성을 대표하는 대표측정소를 선정하기 위한 통계적인 기법을 구축하기 위하여 수행되었다. 2002년부터 2011년까지 10년간의 오존 시간 농도자료를 분석에 적용하였다. KZ 필터, 상관관계 매트릭스, 군집분석, 공간 분석 방법을 적용하여 대표측정소를 선정하였다. 상관관계 분석 결과 서울 신정동, 사당동, 번동 측정소의 오존 장기간 변동 추세가 높은 상관관계를 나타내었다. 군집분석에서도 세 측정소가 같은 군집으로 분석되었다. 공간분석 결과, 세 측정소가 다른 측정소와 공간적인 상관관계가 높게 나타났다. 이러한 분석결과와 상관계수값을 고려하였을 때, 신정동 측정소가 서울의 오존 장기변동 추세를 대표하는 측정소로 적합하였다. 본 연구 결과는 오존 이외의 대기오염물질의 분석을 위한 대표측정소 선정에도 적용될 수 있으며, 국가대기측정망의 공간적인 분포의 적절성을 평가하기 위해서도 사용될 수 있을 것으로 판단된다.

Keywords

References

  1. 국립환경과학원. 2006. 기상인자가 미세먼지 농도에 미치는 영향 연구.(National Institute of Environmental Research. 2006. Study on meteorological parameters impacting on fine particle concentration.)
  2. 국립환경과학원. 2013. 대기환경연보(2012).(National Institute of Environmental Research. 2013. Annual Air Quality(2012).)
  3. 김영성, 김찬혁. 2013. 측정망 자료를 이용한 환경기준 대기오염물질의 권역별 단기 고농도 변화 추이, 한국대기환경학회지, 29(5), 545-552.(Ghim YS, Kim CH. 2013. Regional trends in short term hi호 concentrations of criteria pollutants from national air monitoring stations, J. Korean Soc. Atmos. Environ., 29(5), 545-552.) https://doi.org/10.5572/KOSAE.2013.29.5.545
  4. 김용표, 여민주. 2013. 서울의 대기환경기준물질 농도 추이, 한국대기환경학회지, 29(4), 369-377.(Kim YP, Yeo MJ. 2013. The trend of the concentrations of the criteria pollutanns over Seoul, J. Korean Soc. Atmos. Enviorn., 29(4), 369-377.) https://doi.org/10.5572/KOSAE.2013.29.4.369
  5. 이화운, 도우곤, 정우식, 김민경, 송복주. 2007. KZ filtering을 이용한 부산지역 오존과 PM-10의 장기추세 분석, 한국환경과학회 학술발표논문집, 16, 116-116.(Lee HW, Do WG, Jung WS, Kim MK, Song BJ. 2007. Analysis of long term trend of ozond and PM-10 in Busan using KZfiltering, Environ. Sci. Proceedng., 16, 116-116.)
  6. 배민석, 정창훈, 김영성, 김기현. 2013. 서울시 대기 측정소간 상관관계를 감안한 측정소의 운용 방향 개선을 위한 제언, 한국대기환경학회지, 29(4), 447-458.(Bae MS, Jung CH, Ghim YS, Kim KH. 2013. A proposal for the upgrade of the current operating system of the Seoul's atmospheric monitoring network based on statistical analysis, J. Korean Soc. Atmos. Enviorn., 29(4), 447-458.) https://doi.org/10.5572/KOSAE.2013.29.4.447
  7. 이정영, 공부주, 한진석, 이민도. 2008. KZ필터법을 이용한 서울지역 미세먼지 농도의 장기변화 분석, 한국대기환경학회지, 24(1), 63-71.(Lee JY, Kong BJ, Han JS, Lee MD. 2008. Long term analysis of PM10 concentration in Seoul using KZ filter, J. Korean Soc. Atmos. Enviorn., 24(1), 63-71.) https://doi.org/10.5572/KOSAE.2008.24.1.063
  8. 한국외국어대학교, 국립환경과학원. 2008. 대기오염측정망 개선방안 연구.(Hankuk University of Foreign Studies, National Institute of Environmental Research. 2008. Study on the improvement of atmospheric monitoring network.)
  9. 한지현, 이미혜, 김영성. 2008. 전국 도시대기 측정망의 2000-2005년 PM10 농도 군집분석, 한국대기환경학회지, 24(3), 300-309.(Han JH, Lee MH, Ghim YS. 2008. Cluster analysis of PM10 concentrations from urban air monitoring network in Korea during 2000 to 2005, J. Korean Soc. Atmos. Enviorn., 24(3), 300-309.) https://doi.org/10.5572/KOSAE.2008.24.3.300
  10. Cressie N. 1993. Statistics for spatial data. Wiley, New York.
  11. Hastie TJ, Tibshirani RJ. 1990. Generalized Additive Models, Chapman & Hall, New York.
  12. R Development Core Team. 2009. R: A language and environment for statistical computing, R Foundation for Statistical Computing, http://web.mit.edu/r_v3.01/fullrefman.pdf.
  13. Schmidt M. 2001. Overview of national analyses-Presentation from October 2001 RTP Monitoring Strategy Workshop, U. S. Environmental Protection Agency, http://www.epa.gov/ttn/amtic/netamap.html.
  14. Shin HJ, Cho KM, Han JS, Kim JS, Kim YP. 2012. The effects of precursor emission and background concentration changes on the surface ozone concentration over Korea, Aerosol and Air Quality Research, 12, 93-103.
  15. U. S. Environmental Protection Agency. 2002. Assessment of the ambient air monitoring networks. http://www.epa.gov/ttn/amtic/files/ambient/pm25/workshop/atlanta/r4netas.pdf.

Cited by

  1. Long-term Trend Analysis of Korean Air Quality and Its Implication to Current Air Quality Policy on Ozone and PM10 vol.34, pp.1, 2018, https://doi.org/10.5572/KOSAE.2018.34.1.001
  2. The Long Term Trends of Tropospheric Ozone in Major Regions in Korea vol.11, pp.4, 2015, https://doi.org/10.5572/ajae.2017.11.4.235
  3. Long-term Assessment of Ozone Nonattainment Changes in South Korea Compared to US, and EU Ozone Guidelines vol.15, pp.4, 2015, https://doi.org/10.5572/ajae.2021.098