Abstract
Comparative study of two chemical transport models of CMAQ and CAMx with WRF (Weather Research and Forecasting) model under the identical conditions of meteorological field as well as emission inventory was carried out to evaluate their performances to predict atmospheric aerosols in East Asia focusing on the Seoul Metropolitan Area. Predicted concentrations of PM10, PMC (particulate matter with less than 10 μm and larger than 2.5 μm), PM2.5, sulfate, nitrate, organic carbon, elemental carbon and soil component were compared with those measured in Korea especially with intensive measurements in the SMA. CMAQ and CAMx generally depicted the variation of temporal trend and spatial distribution of the aerosols components but the PM10 and PMC were intrinsically underestimated by both models due to inherent uncertainty and lack of information for emission data of fugitive soil dusts. CAMx has a tendency to predict higher PM species concentrations than those of CMAQ. According to soccer plots of fractional bias vs. fractional gross error in annual PM chemical species, both CMAQ and CAMx, however, are acceptable in the range of between good performance and average performance. It is inferred from this study that the main reasons to induce differences between CMAQ and CAMx in predicting PM species are due to dry deposition mechanism and nesting method.
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References
Borge R, Alexandrov V, del Vas JJ, Lumbreras J, Rodríguez ME (2008) A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula. Atmos Environ 42:8560–8574
Byun F, Ching JKS (1999) Science algorithm of the EPA Model-3 Community Multiscale Air Quality (CMAQ) modeling system. United States Environmental Protection Agency Rep. EPA-600/R-90/030, 727 pp
Koo YS, Kim ST, Cho JS, Jang YK (2012) Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10. Atmos Environ 58:56–69. doi:10.1016/j.atmosenv.2012.02.004
Koo YS, Kim ST, Yun HY, Han JS, Lee JY, Kim KH, Jeon EC (2008) The simulation of aerosol transport over East Asia region. Atmos Res 90:264–271. doi:10.1016/j.atmosres.2008.03.014
Skamarock WC, Klemp JB (2008) A time-split non-hydrostatic atmospheric model for weather research and forecasting applications. J Comput Phys 227:3465–3485. doi:10.1016/j.jcp. 2007.01.037.1
Tesche TW, Morris R, Tonnesen G, McNally D, Boylan J, Brewer P (2006) CMAQ/CAMx annual 2002 performance evaluation over the eastern US
Zhang Q, Streets DG, Carmichael GR, He K, Huo H, Kannari A, Klimont Z, Park I, Reddy S, Fu JS, Chen D, Duan L, Lei Y, Wang L, Yao Z (2009) Asian emissions in 2006 for the NASA INTEX-B mission. Atmos Chem Phys 9(1):4081–4139
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This subject is supported by Korea Ministry of Environment as “The Eco-technopia 21 project”.
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Koo, YS., Choi, DR., Cho, JS. (2014). Evaluations of WRF-CMAQ/CAMx Performance in East Asia Focusing on the Seoul Metropolitan Area. In: Steyn, D., Builtjes, P., Timmermans, R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5577-2_75
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DOI: https://doi.org/10.1007/978-94-007-5577-2_75
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