Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
권호 표지
DOI QR코드

DOI QR Code

Feasibility Study for the Location of Air Quality Monitoring Network in Daegu Area

대구지역 대기오염자동측정망 위치의 타당성 분석

  • Choi, Sung-Woo (Department of Environmental Science, Keimyung University) ;
  • Lee, Jung-Beom (Department of Environmental Science, Keimyung University)
  • Received : 2010.10.18
  • Accepted : 2010.12.20
  • Published : 2011.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

Air quality monitoring networks are very important facilities to manage urban air pollution control and to set up an environmental policy. Since air quality monitoring network of Daegu was allocated from 1980s to mid-90s, there is need to reevaluate it and relocated its site. This study was evaluated the position of Daegu air quality monitoring station by unit environmental sensitivity index, grid emission rate, CAI (Comprehensive Air-quality Index) point. The investigation domain covered an area of 16 $\times$ 24 km centered at the metropolitan area of Daegu with grid spacing of 2 km. The location of alternative air quality monitoring networks was selected through optimization and quintiles analysis of total score. The result showed that all things considered, new air quality monitoring network need to install grid numbers 10, 28, 36, 37, 46. We also recommand three scenarios of alternative air quality monitoring network when considering unit environmental sensitivity index, emission rate and CAI point.

Keywords

References

  1. 대구시, 2008, 제48회 대구통계연보.
  2. 정장표, 2000, 환경오염물질의 시공간적 특성평가시스템개발, 2000년도 산학연 컴소시엄 연구개발보고서, 경성대학교 산학연 컴소시엄센터.
  3. 환경부, 2005, 2006-2010 대기오염측정망 기본 계획.
  4. Inyang, H. I., Fisher, G. F., Mnamalu, G. E., 2003, A quantitative methodology for indexing environntal sensitivity and pollution potential, Environ. Monit. Assess., 84, 159-173. https://doi.org/10.1023/A:1022855617956
  5. Kao, J. J., Hsieh, M. R., 2006, Utilizing multi objective analysis to determine an air quality monitoring networking an industrial district, Atmos. Environ., 40 1092-1103. https://doi.org/10.1016/j.atmosenv.2005.11.003
  6. Kim, Y. S., Son, J. E., 1992, Modeling of SO2 distributions in the seoul area by using ISCLT, J. KAPRA., 8(2), 128-137.
  7. Kim, M. K., Lee, H. W., Dou, W. D., Jung, W. S., 2009, An analysis of wind field around the air quality monitoring station in the urban area by using the Envimet Model, J. Environ. Sci., 18(9), 941-952. https://doi.org/10.5322/JES.2009.18.9.941
  8. Munn, R. E., 1981, The design of air quality monitoring networks, Macmillan Publishers Ltd., London.
  9. Oh, K. S., Kwon, O. K., 2001, Developing a Multi-Criteria Spatial Decision Support System (MC-SDSS) for analyzing the suitability of waste landfill sites, J. GISAK., 9(2), 227-238.
  10. Park, O. H., Park, S. Y., 1998, Application of semi-variogram and cumulative semi-variogram to understand the characteristics of atmospheric dispersion, J. KSEE., 20(1), 67-82.
  11. Park, O. H., Shin, J. Y., Seok, M. G., 2007, Improvement of atmospheric pollution prediction in coastal area using a "GIS-based decision support system", to be published.
  12. Yoo, E. C., Park, O. H., 2007 Optimization of air quality monitoring networks in Busan using a GIS based Decision support system, J. KOSAE., 23(5), 526-538. https://doi.org/10.5572/KOSAE.2007.23.5.526

Cited by

  1. Evaluation of Air Pollution Monitoring Networks in Seoul Metropolitan Area using Multivariate Analysis vol.25, pp.5, 2016, https://doi.org/10.5322/JESI.2016.25.5.673