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http://dx.doi.org/10.5467/JKESS.2013.34.3.209

Verification and Estimation of the Contributed Concentration of CH4 Emissions Using the WRF-CMAQ Model in Korea  

Moon, Yun-Seob (Department of Environmental Education, Korea National University of Education)
Lim, Yun-Kyu (Department of Environmental Education, Korea National University of Education)
Hong, Sungwook (Satellite Analysis Division, National Meteorological Satellite Center)
Chang, Eunmi (Ziinconsulting INC.)
Publication Information
Journal of the Korean earth science society / v.34, no.3, 2013 , pp. 209-223 More about this Journal
Abstract
The purpose of this study was to estimate the contributed concentration of each emission source to $CH_4$ by verifying the simulated concentration of $CH_4$ in the Korean peninsula, and then to compare the $CH_4$ emission used to the $CH_4$ simulation with that of a box model. We simulated the Weather Research Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model to estimate the mean concentration of $CH_4$ during the period of April 1 to 22 August 2010 in the Korean peninsula. The $CH_4$ emissions within the model were adopted by the anthropogenic emission inventory of both the EDGAR of the global emissions and the GHG-CAPSS of the green house gases in Korea, and by the global biogenic emission inventory of the MEGAN. These $CH_4$ emission data were validated by comparing the $CH_4$ modeling data with the concentration data measured at two different location, Ulnungdo and Anmyeondo in Korea. The contributed concentration of $CH_4$ estimated from the domestic emission sources in verification of the $CH_4$ modeling at Ulnungdo was represented in about 20%, which originated from $CH_4$ sources such as stock farm products (8%), energy contribution and industrial processes (6%), wastes (5%), and biogenesis and landuse (1%) in the Korean peninsula. In addition, one that transported from China was about 9%, and the background concentration of $CH_4$ was shown in about 70%. Furthermore, the $CH_4$ emission estimated from a box model was similar to that of the WRF-CMAQ model.
Keywords
WRF-CMAQ model; flux of $CH_4$ emissions; contributed concentration of $CH_4$;
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1 Seok, G.S., 2009, Study on the improvement method for improving of reliability of the GHG-CAPSS. National Institute of Environmental Research, 10-150. (in Korean)
2 Umeda, T. and Martien, P.T., 2000, Evaluation of a data assimilation technique for a mesoscale meteorological model used for air quality modeling. Journal of Applied Meteorology, 41, 21-29
3 Wild, O., Prather, M.J., and Akimoto, H., 2001, Indirect long term global radiative cooling from NOx emission. Geophysical Research Letters, 28(9), 1719-1722.   DOI   ScienceOn
4 GEIA (Global Emissions Inventory Activity), http:// www.geiacenter.org
5 Gery, M.W., Whitten, G.Z., Killus, J.P., and Dodge, M.C., 1989, A photochemical kinetics mechanism for urban and regional scale computer modeling. Journal of Geophysical Research, 94, 12925-12956.   DOI
6 Guenther, A., Archer, S., Greenberg, J., Harley, P., Helmig, D., Klinger, L., Vierling, L., Wildermuth, M., Zimmerman, P., and Zitzer, S., 1999, Biogenic hydrocarbon emissions and landcover/climate change in a subtropical savanna. Physical Chemistry Earth Part B-Hydrology Oceans and Atmosphere, 24(6), 659-667.   DOI   ScienceOn
7 IPCC (Intergovernment Panel for Climate Change), 2001, The scientific basis. Cambridge University Press, 991pp.
8 IPCC (Intergovernment Panel for Climate Change), 1996, Revised 1996 IPCC guidelines for national greenhouse gas inventories: Reference manual. IPCC.
9 IPCC (Intergovernment Panel for Climate Change), 2006, 2006 IPCC guidelines for national greenhouse gas inventories. IPCC.
10 Kim, H.R., 2009, Building up the inventory system of national greenhouse gases. Statistics Korea, 1-59. (in Korean)
11 Koo, H.S., Kim, H.D., Kang, S.D., and Shin, D.W., 2007, A numerical study on the formation mechanism of a mesoscale low during East-Asia winter monsoon. Journal of the Korean Earth Science Society, 28(5), 613-619. (in Korean)   과학기술학회마을   DOI   ScienceOn
12 Korea Energy Economic Institute, 2008, Planning research for adapting to new guideline of IPCC of the national greenhouse gases for the climate change adaptation-Report I, II. Korea Energy Economic Institute, 9-361. (in Korean)
13 Lee, H.R., Kim, K.E., and Lee, Y.H., 2009, Numerical simulation of the effects of moisture on the reinforcement of a tropopause fold. Journal of the Korean Earth Science Society, 30(5), 630-645. (in Korean)   과학기술학회마을   DOI   ScienceOn
14 Liu, S.C., Trainer, M., Fehsenfeld, F.C., Parrish, D.D., Williams, E.J., Fahey, D.W., Huber, G., and Murphy, P.C., 1994, Ozone production in the rural troposphere and implications for regional ozone distributions. Journal of Geophysical Research, 92, 4191-4207.
15 McKendry, I.G., 1993, Ground-level ozone in Montreal Canada. Atmospheric Environment. 27B(1), 93-103.
16 Moon, Y.S., Lim, Y.K., and Lee K., 2011, An estimation of concentration of Asian dust (PM10) Using WRFSMOKE-CMAQ (MADRID) during springtime in the Korean peninsula. Journal of the Korean Earth Science Society, 32(3), 276-293. (in Korean)   과학기술학회마을   DOI   ScienceOn
17 National Center for Atmospheric Research, 1994, Terrain and Land Use for the Fifth-Generation Penn State/ NCAR Mesoscale Modeling System (MM5): Program TERRAIN: NCAR Technical Notes. NCAR/TN-397+IA.
18 National Center for Atmospheric Research, 2003, Tutorial class notes and user's guide: MM5 Modeling System Version 3.
19 Prather, M.J., 1996, Natural modes and time scales in atmospheric chemistry: theory, GWPs for $CH_4$ and CO, and run away growth. Geophysical Research Letters, 23, 2597-2600.   DOI   ScienceOn
20 Berrittella, C. and van Huissteden, J., 2009, Uncertainties in modeling CH4 emissions from northern wetlands in glacial climates: effect of hydrological model and CH4 model structure. Climate of the Past Discussions, 5, 817-851.   DOI
21 Coats, C.J.Jr., 1995, High performance algorithms in the Sparse Matrix Operator Kernel Emissions (SMOKE) Modeling System. MCNC, Environmental Systems Division, Research Triangle Park, NC. 6 pp.
22 Dudhia, J., 1993, A nonhydrostatic version of the penn stat/NCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front. Monthly Weather Review, 121, 1493-1513.   DOI   ScienceOn
23 Environmental Protection Agency, 1999, Science algorithms of the EPA model-3 community multiscale air quality (CMAQ) modeling system. http://www.epa.gov/ asmdnerl/models3/doc/science/science.html.