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Uncertainty Assessment for CAPSS Emission Inventory by DARS

DARS에 의한 CAPSS 배출자료의 불확도 평가

  • Kim, Jeong (Department of Environmental & Energy Engineering, The University of Suwon) ;
  • Jang, Young-Kee (Department of Environmental & Energy Engineering, The University of Suwon)
  • 김정 (수원대학교 환경에너지공학과) ;
  • 장영기 (수원대학교 환경에너지공학과)
  • Received : 2013.08.07
  • Accepted : 2014.01.10
  • Published : 2014.02.28

Abstract

The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (Data Attribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S. EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Program). The DARS score is based on the perceived quality of the emission factor and activity data. Scores are assigned to four attributes; measurement/method, source specificity, spatial congruity and temporal congruity. The resulting emission factor and activity rate scores are combined to arrive at an overall confidence rating for the inventory. So DARS is believed to be a useful tool and may provide more information about inventories than the usual qualitative grading procedures (e.g. A through E). In this study, the uncertainty assessment for 2009 CAPSS (Clean Air Policy Support System) emission inventory is conducted by DARS. According to the result of this uncertainty assessment, the uncertainty for fugitive dust emission data is higher than other sources, the uncertainty of emission factor for surface coating is the highest value, and the uncertainty of activity data for motor cycle is the highest value. Also it is analysed that the improvement of uncertainty for activity data is as much important as the improvement for emission factor to upgrade the reliability of CAPSS emission inventory.

Keywords

References

  1. Beck, L., R. Peer, L. Bravo, and Y. Yan. (1994) A Data attribute rating system. Presented at the air and waste management association's emission inventory conference, Raleigh, North Carolina.
  2. Cho, C.S., S.J. Kim, S.G. Lee, and U.C. Jeon (2012) Evaluation of Measurement Uncertainty for Nitrous Oxide to QA/QC, proceeding of the 54th meeting of KOSAE, 82.
  3. EIIP (1996) Recommended approach to using the data attribute rating system (DARS), EIIP Technical report series Volume 6, Appendix F.
  4. EIIP (1996) Technical report series Volume 6, Evaluating the uncertainty of emission estimates.
  5. Frey, H.C. (1998) Methods for quantitative analysis of variability and uncertainty in hazardous air pollutant emissions, Proceedings of the 91st annual meeting, air and waste management association, Pittsburgh, Pennsylvania.
  6. Frey, H.C. and S. Li (2003) Methods for quantifying variability and uncertainty in AP-42 emission factors, J. Air Waste Manage Assoc., 53, 1436-1447. https://doi.org/10.1080/10473289.2003.10466317
  7. Frey, H.C. (2007) Quantification of uncertainty in emission factors and inventories, Proceedings of the 16th annual international emission inventory conference, Raleigh.
  8. Kim, H.S., S.A. Lee, and S.M. Lee (2008) Sensitivity and Uncertainty Analysis of Methane Emission from Landfills in Korea, proceeding of the 47th meeting of KOSAE, 471-472.
  9. Korea Environmental Industry & Technology Institute (2011) Improvement of air pollution emission inventory and its reliability.
  10. Kumar, S., A.N. Mondal, S.A. Gaikwad, S. Devotta, and R.N. Singh (2004) Qualitative assessment of methane emission inventory from municipal solid waste disposal sites, Atmos Environ., 38, 4921-4929. https://doi.org/10.1016/j.atmosenv.2004.05.052
  11. Jang, Y.G., G. Kim, J. Kim, Y.M. Heo, D.Y. Kim, and J.H. Hong (2005) Assessment of Uncertainty of Air Pollutant Emission Data Using DARS Score, proceeding of the 39th meeting of KOSAE, 231-232.
  12. Jeong, G.B., J.C. Woo, and J.H. Lee (2001) Development of a Candidate Equipment for Ozone SRP and its Uncertainty Evaluation, J. Korean Soc. Atmos. Environ., 17(4), 313-319. (in Korean with English abstract)
  13. Lee, J.H., J.M. Lym, and J.C. Woo (2002) Evaluation of Uncertainties in the Measurement of Ambient $NO_2$ Level, J. Korean Soc. Atmos. Environ., 18(5), 355-362. (in Korean with English abstract)
  14. National Institute of Environmental Research (2010) Clean air policy support system (CAPSS).
  15. National Institute of Environmental Research (2010) Guideline of national air pollutant emission inventory.