DOI QR코드

DOI QR Code

Comparison of CMAQ Ozone Simulations with Two Chemical Mechanisms (SAPRC99 and CB05) in the Seoul Metropolitan Region

CMAQ 모델의 화학메커니즘(SAPRC99, CB05) 적용에 따른 수도권 오존농도 모의결과 비교

Kang, Yoon-Hee;Oh, Inbo;Jeong, Ju-Hee;Bang, Jin-Hee;Kim, Yoo-Keun;Kim, Soontae;Kim, Eunhye;Hong, Ji-Hyung;Lee, Dae-Gyun
강윤희;오인보;정주희;방진희;김유근;김순태;김은혜;홍지형;이대균

  • Received : 2015.07.22
  • Accepted : 2015.11.17
  • Published : 2016.01.29

Abstract

A comparison of ozone simulations in the seoul metropolitan region (SMR) using the community multiscale air quality (CMAQ) model with SAPRC99 and CB05 chemical mechanisms (i.e. EXP-SP99 and EXP-CB05) has been conducted during four seasons of 2012. The model results showed that the differences in average ozone concentrations between the EXP-SP99 and EXP-CB05 were found to be large in summer, but very small in the other seasons. This can be attributed that the SAPRC99 tends to produce more ozone than the CB05 in urban area like the SMR with low VOC/NOx ratio under high ozone conditions. Through quantitative comparison between two mechanisms for the summer, it was found that the average ozone concentrations from the EXP-SP99 were about 3 ppb higher than those from the EXP-CB05 and agreed well with the observations. Horizontal differences in ozone concentrations between SAPRC99 and CB05 showed that significant differences were found in southern part of the SMR and over the sea near the coast in summer.

Keywords

Ozone;CMAQ model;SAPRC99;CB05;Chemical mechanism

References

  1. Luecken, D. J., Phillips, S., Sarwar, G., Jang, C., 2008, Effects of using the CB05 vs. SAPRC99 vs. CB4 chemical mechanism on model predictions: Ozone and gas-phase photochemical precursor concentrations, Atmos. Environ., 42, 5805-5820. https://doi.org/10.1016/j.atmosenv.2007.08.056
  2. National Institute of Environmental Research (NIER), 2010, National air pollutants emission 2008.
  3. National Institute of Environmental Research (NIER), 2014, Studies on the optimization method for improving the accuracy of air quality modeling. (in Korean with English Abstract)
  4. National Research Council (NRC), 1991, Rethinking the ozone problem in urban and regional air pollution, National Academy Press, Washington, D.C.
  5. Oh, I. B., Kim, Y. K., 2004, The influence of long-range transport on springtime nocturnal ozone enhancement in Seoul, J. Kor. Soc. Atmos. Environ., 20(4), 503-514. (in Korean with English Abstract)
  6. Pan, Y., Zhang, Y., Sarwar, G., 2008, Impact of gas-phase chemistry on WRF/CHEM predictions of $O_3$ and $PM_{2.5}$: Mechanism implementation and comparative evaluation, the 7th Annual CMAS Conference, Chapel Hill, NC, 10, 6-8.
  7. Perez, C., Jimenez, P., Jorban, O., Sicard, M., Baldasano, J. M., 2006, Influence of the PBL scheme on highresolution photochemical simulations in an urban coastal area over the Western Mediterranean, Atmos. Environ., 40, 5274-5297. https://doi.org/10.1016/j.atmosenv.2006.04.039
  8. Sokhi, R. S., San Jose, R., Kitwiroon, N., Fragkoua, E., Perez, J. L., Middleton, D. R., 2006, Prediction of ozone levels in London using the MM5-CMAQ modelling system, Environ. Model. Softw., 21, 566-576. https://doi.org/10.1016/j.envsoft.2004.07.016
  9. Stockwell, W. R., Middleton, P., Chang, J. S., Tang, X., 1990, The second generation regional acid deposition model chemical mechanism for regional air quality modeling, J. Geophys. Res., 95, 16343-16347. https://doi.org/10.1029/JD095iD10p16343
  10. Sung, K. H., 2007, Sensitivity analysis of air quality modeling according to the application of photochemical reaction mechanism, Thesis for the degree of master, Pusan National University. (in Korean with English Abstract)
  11. Tong, D. Q., Mauzerall, D. L., 2006, Spatial variability of summertime tropospheric ozone over the continuental United States: Implications of an evaluation of the CMAQ model, Atmos. Environ., 40, 3041-3056. https://doi.org/10.1016/j.atmosenv.2005.11.058
  12. Yarwood, G., Rao, S., Yoche, M., Whitten, G. Z., 2005, Updates to the carbon bond mechanism: CB05, Final Report to the US EPA, RT-0400675.
  13. Yu, S., Eder, B., Dennis, R., Chu, S., Schwartz, S. E., 2006, New unbiased symmertric metrics for evaluation of air quality models, Atmos. Sci. Let., 7, 26-34. https://doi.org/10.1002/asl.125
  14. Yu S., Mathur, R., Sarwar, G., Kang, D., Tong, D., Poulot, G., Pleim, J., 2010, Eta-CMAQ air quality forecasts for $O_3$ and related species using three different photochemical mechanisms (CB4, CB05, SAPRC-99): Comparisons with measurements during the 2004 ICARTT study, Atoms. Chem. Phys., 10, 3001-3025. https://doi.org/10.5194/acp-10-3001-2010
  15. Zhang, Y., Liu, P., Pun, B., Seigneur, C., 2006, A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode-Part I: Evaluation protocols, databases, and meteorological predictions, Atmos. Environ., 40, 4825-4838. https://doi.org/10.1016/j.atmosenv.2005.12.043
  16. Appel, K. W., Gilliland, A. B., Sarwar, G., Cilliam, R. C., 2007, Evaluation of the Community Multiscale Air Quality (CMAQ) model version 4.5: Sensitivities impacting model performance Part I-Ozone, Atmos. Environ., 41, 9603-9615. https://doi.org/10.1016/j.atmosenv.2007.08.044
  17. Cater, W. P. L., 2000, Documentation of the SAPRC-99 chemical mechanism for VOC reactivity assessment, Final Report to California Air Resources Board.
  18. Cater, W. P. L., 2007, Development of the SAPRC-07 chemical mechanism and updated ozone reactivity scales, Final Report to the California Air Resources Board Contract No. 03-318.
  19. Chen, S., Ren, X., Mao, J., Chen, Z., Brune, W. H., Lefer, B., Rappengluck, B., Flynn, J., Olson, J., Crawford, J. H., 2010, A comparison of chemical mechanisms based on TRAMP-2006 field data, Atmos. Environ., 44, 4116-4125. https://doi.org/10.1016/j.atmosenv.2009.05.027
  20. Dodge, M. C., 2000, Chemical oxidant mechanisms for air quality modeling: critical review, Atmos. Environ., 34, 2103-2130. https://doi.org/10.1016/S1352-2310(99)00461-6
  21. Eder, B., Kang, D., Mathur, R., Yu, S., Schere, K., 2006, An operational evaluation of the Eta-CMAQ air quality forecast model, Atmos. Environ., 40, 4894-4905. https://doi.org/10.1016/j.atmosenv.2005.12.062
  22. Faraji, M., Kimura, Y., McDonald-Buller, E., Allen, D., 2008, Comparison of the carbon bond and SAPRC photochemical mechanisms under conditions relevant to southeast Texas, Atmos. Environ., 42, 5821-5836. https://doi.org/10.1016/j.atmosenv.2007.07.048
  23. Gilliland, A. B., Hogrefe, C., Pinder, R. W., Godowitch, J. M., Foley, K. L., Rao, S. T., 2008, Dynamic evalua-tion of regional air quality models: Assessing changes in $O_3$ stemming from changes in emissions and meteorology, Atmos. Environ., 42, 5110-5123. https://doi.org/10.1016/j.atmosenv.2008.02.018
  24. Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P., Geron, C., 2006, Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181-3210. https://doi.org/10.5194/acp-6-3181-2006
  25. Korea Environment Institute (KEI), 2006, Air Quality Modeling System I, KEI 2006 RE-11.
  26. Korea Environment Institute (KEI), 2007, Air Quality Modeling System II, KEI 2007 RE-19.

Acknowledgement

Supported by : 국립환경과학원