Acknowledgement
This research was supported by the Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety (KoFONS) funded by the Nuclear Safety and Security Commission (No. 1805018).
References
- Schneider M, Froggatt A. World nuclear industry status report 2020 [Internet]. Paris, France: A Mycle Schneider Consulting Project; 2020 [cited 2022 Dec 19] Available from: https://www. worldnuclearreport.org/-World-Nuclear-Industry-Status-Report-2020-.html.
- Dauer LT, Zanzonico P, Tuttle RM, Quinn DM, Strauss HW. The Japanese tsunami and resulting nuclear emergency at the Fukushima Daiichi power facility: technical, radiologic, and response perspectives. J Nucl Med. 2011;52(9):1423-1432. https://doi.org/10.2967/jnumed.111.091413
- United Nations Scientific Committee on the Effects of Atomic Radiation. Sources and effects of ionizing radiation (Scientific Annex B:). New York, NY: United Nations Scientific Committee on the Effects of Atomic Radiation; 2000 [cited 2022 Dec 19]. Available from: https://www.unscear.org/docs/publications/2020/ UNSCEAR_2020_AnnexB_AdvanceCopy.pdf.
- Stohl A, Seibert P, Wotawa G, Arnold D, Burkhart JF, Eckhardt S, et al. Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition. Atmos Chem Phys. 2012;12(5):2313-2343. https://doi.org/10.5194/acp-12-2313-2012
- Srinivas CV, Venkatesan R, Baskaran R, Rajagopal V, Venkatraman B. Regional scale atmospheric dispersion simulation of accidental releases of radionuclides from Fukushima Dai-ichi reactor. Atmos Environ. 2012;61:66-84. https://doi.org/10.1016/j.atmosenv.2012.06.082
- Korsakissok I, Mathieu A, Didier D. Atmospheric dispersion and ground deposition induced by the Fukushima Nuclear Power Plant accident: a local-scale simulation and sensitivity study. Atmos Environ. 2013;70:267-279. https://doi.org/10.1016/j.atmosenv.2013.01.002
- Lee HJ, Jo HY, Nam KP, Lee KH, Kim CH. Measurement, simulation, and meteorological interpretation of medium-range transport of radionuclides to Korea during the Fukushima Dai-ichi nuclear accident. Ann Nucl Energy. 2017;103:412-423. https://doi.org/10.1016/j.anucene.2017.01.037
- Thaning L, Baklanov A. Simulation of the atmospheric transport and deposition on a local/meso-and regional scale after hypothetical accidents at the Kola nuclear power plant. Sci Total Environ. 1997;202(1-3):199-210. https://doi.org/10.1016/S0048-9697(97)00116-2
- Suh KS, Kim EH, Han MH. Development of long-range atmospheric dispersion model against a nuclear accident. J Radiat Prot Res. 2002;27(3):171-179.
- Srinivas CV, Venkatesan R. A simulation study of dispersion of air borne radionuclides from a nuclear power plant under a hypothetical accidental scenario at a tropical coastal site. Atmos Environ. 2005;39(8):1497-1511.
- Kim CH, Song CK, Lee SH, Song SK. Simulating mesoscale transport and diffusion of radioactive noble gases using the Lagrangian particle dispersion model. J Environ Radioact. 2008;99(10):1644-1652. https://doi.org/10.1016/j.jenvrad.2008.05.002
- Lee GB, Lee MC, Song YI. A study on mesoscale atmospheric dispersion of radioactive particles released from nuclear power plants. J Radiat Prot Res. 1997;22(4):273-288.
- Jeong H, Kim E, Park M, Jeong H, Hwang W, Han M. Numerical simulation of air pollutant dispersion using an in situ tracer experiment at a nuclear site. Ann Nucl Energy. 2014;73:1-6. https://doi.org/10.1016/j.anucene.2014.06.029
- Park SU, Lee IH, Joo SJ, Ju JW. Emergency preparedness for the accidental release of radionuclides from the Uljin Nuclear Power Plant in Korea. J Environ Radioact. 2017;180:90-105. https://doi.org/10.1016/j.jenvrad.2017.09.012
- Lim KS, Lim JM, Shin HH, Hong J, Ji YY, Lee W. Impacts of subgrid-scale orography parameterization on simulated atmospheric fields over Korea using a high-resolution atmospheric forecast model. Meteorol Atmos Phys. 2019;131(4):975-985. https://doi.org/10.1007/s00703-018-0615-4
- Hanna SR. The exponential probability density function and concentration fluctuations in smoke plumes. Bound Layer Meteorol. 1984;29(4):361-375. https://doi.org/10.1007/BF00120535
- Giorgi F, Marinucci MR, Visconti G. Use of a limited-area model nested in a general circulation model for regional climate simulation over Europe. J Geophys Res Atmos. 1990;95(D11):18413-18431. https://doi.org/10.1029/JD095iD11p18413
- Gibelin AL, Deque M. Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model. Clim Dyn. 2003;20(4):327-339. https://doi.org/10.1007/s00382-002-0277-1
- Boe J, Terray L, Habets F, Martin E. Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies. Int J Climatol. 2007;27(12):1643-1655. https://doi.org/10.1002/joc.1602
- Lo JC, Yang ZL, Pielke Sr RA. Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) model. J Geophys Res Atmos. 2008;113(D9):D09112.
- Ahn JB, Lee J, Im ES. The reproducibility of surface air temperature over South Korea using dynamical downscaling and statistical correction. J Meteorol Soc Jpn. 2012;90(4):493-507. https://doi.org/10.2151/jmsj.2012-404
- Hwang WT, Kim EH, Jeong HS, Jeong HJ, Han MH. Influence of statistical compilation of meteorological data on short-term atmospheric dispersion factors in a hypothetical accidental release of nuclear power plants. J Radiat Prot Res. 2012;37(3):116-122. https://doi.org/10.14407/jrp.2012.37.3.116
- United Nations Scientific Committee on the Effects of Atomic Radiation. Sources and effects of ionizing radiation (UNSCEAR 2008). New York, NY: United Nations Scientific Committee on the Effects of Atomic Radiation; 2011 [cited 2022 Dec 19]. Available from: https://www.unscear.org/docs/reports/2008/11-80076_Report_2008_Annex_D.pdf.
- Kim TY, Lee KH, Chae S, Ha SH, Chung SW, Lee UJ. Development of training system for radiation exposure reduction and protection of local residents against radioactivity release accidents at nuclear power plants. J Korean Soc Hazard Mitig. 2019; 19(2):79-90. https://doi.org/10.9798/KOSHAM.2019.19.2.79
- Civerolo K, Hogrefe C, Lynn B, Rosenthal J, Ku JY, Solecki W, et al. Estimating the effects of increased urbanization on surface meteorology and ozone concentrations in the New York City metropolitan region. Atmos Environ. 2007;41(9):1803-1818. https://doi.org/10.1016/j.atmosenv.2006.10.076
- Cheng FY, Byun DW. Application of high resolution land use and land cover data for atmospheric modeling in the Houston-Galveston metropolitan area, Part I: meteorological simulation results. Atmos Environ. 2008;42(33):7795-7811. https://doi.org/10.1016/j.atmosenv.2008.04.055
- De Meij AA, Vinuesa JF. Impact of SRTM and Corine Land Cover data on meteorological parameters using WRF. Atmos Res. 2014;143:351-370. https://doi.org/10.1016/j.atmosres.2014.03.004
- Santos-Alamillos FJ, Pozo-Vazquez D, Ruiz-Arias JA, Tovar-Pescador J. Influence of land-use misrepresentation on the accuracy of WRF wind estimates: evaluation of GLCC and CORINE landuse maps in southern Spain. Atmos Res. 2015;157:17-28. https://doi.org/10.1016/j.atmosres.2015.01.006
- Cheng FY, Hsu YC, Lin PL, Lin TH. Investigation of the effects of different land use and land cover patterns on mesoscale meteorological simulations in the Taiwan area. J Appl Meteorol Climatol. 2013;52(3):570-587. https://doi.org/10.1175/JAMC-D-12-0109.1
- Cuxart J, Wrenger B, Martinez-Villagrasa D, Reuder J, Jonassen MO, Jimenez MA, et al. Estimation of the advection effects induced by surface heterogeneities in the surface energy budget. Atmos Chem Phys. 2016;16(14):9489-9504. https://doi.org/10.5194/acp-16-9489-2016
- Georgelin M, Bougeault P, Black T, Brzovic N, Buzzi A, Calvo J, et al. The second COMPARE exercise: a model intercomparison using a case of a typical mesoscale orographic flow, the PYREX IOP3. Q J R Meteorol Soc. 2000;126(564):991-1029. https://doi.org/10.1002/qj.49712656410
- Rontu L. A study on parametrization of orography-related momentum fluxes in a synoptic-scale NWP model. Tellus A Dyn Meteorol Oceanogr. 2006;58(1):69-81. https://doi.org/10.1111/j.1600-0870.2006.00162.x
- Mass C, Ovens D. WRF model physics: problems, solutions and a new paradigm for progress [Internet]. Boulder, CO: National Center for Atmospheric Research; 2010 [cited 2022 May 9]. Available from: https://www.atmos.washington.edu/~cliff/WRFworkshop2010b.ppt.
- Lee J, Shin HH, Hong SY, Jimenez PA, Dudhia J, Hong J. Impacts of subgrid-scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high-resolution WRF model. J Geophys Res Atmos. 2015;120(2):644-653. https://doi.org/10.1002/2014JD022747
- Jimenez PA, Dudhia J. Improving the representation of resolved and unresolved topographic effects on surface wind in the WRF model. J Appl Meteorol Climatol. 2012;51(2):300-316. https://doi.org/10.1175/JAMC-D-11-084.1
- Cheng WY, Steenburgh WJ. Evaluation of surface sensible weather forecasts by the WRF and the Eta models over the western United States. Weather Forecast. 2005;20(5):812-821. https://doi.org/10.1175/WAF885.1
- Bernardet L, Nance L, Demirtas M, Koch S, Szoke E, Fowler T, et al. The Developmental Testbed Center and its winter forecasting experiment. Bull Am Meteorol Soc. 2008;89(5):611-628. https://doi.org/10.1175/BAMS-89-5-611
- Kim JY, Kim DY, Oh JH, Kim SH, Kim HG, Kang YH, et al. Sensitivity evaluation of surface wind simulations by surface drag parameterization and spatial resolution using WRF model. J Wind Eng Inst Korea. 2015;19(3):77-83.
- Diro GT, Tompkins AM, Bi X. Dynamical downscaling of ECMWF ensemble seasonal forecasts over East Africa with RegCM3. J Geophys Res Atmos. 2012;117(D16):D16103.
- Uppala S, Dee D, Kobayashi S, Berrisford P, Simmons A. Towards a climate data assimilation system: status update of ERA-Interim. ECMWF Newsl. 2008;115(7):12-18.
- Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, et al. A description of the Advanced Research WRF version 3 [Internet]. Boulder, CO: National Center for Atmospheric Research; 2008 [cited 2022 May 9]. Available from: https://doi.org/10.5065/D68S4MVH.
- Draxler RR, Hess GD. Description of the HYSPLIT_4 modeling system [Internet]. Silver Spring, MD: Air Resources Laboratory; 1997 [cited 2022 Dec 19]. Available from: https://www.arl.noaa.gov/documents/reports/arl-224.pdf
- Draxler RR, Hess GD. An overview of the HYSPLIT_4 modelling system for trajectories, dispersion, and deposition. Aust Meteorol Mag. 1998;47(4):295-308.
- Brioude J, Arnold D, Stohl A, Cassiani M, Morton D, Seibert P, et al. The Lagrangian particle dispersion model FLEXPART-WRF version 3.1. Geosci Model Dev. 2013;6(6):1889-1904. https://doi.org/10.5194/gmd-6-1889-2013
- Sundstrom A, Elvius T. Computational problems related to limited area modelling. In: Mesinger F, Arakawa A, editors. Numerical methods used in atmospheric models. Geneva, Switzerland: World Meteorological Organization, International Council of Scientific Unions; 1976. p. 379-416.
- Chou MD, Suarez MJ, Ho CH, Yan MM, Lee KT. Parameterizations for cloud overlapping and shortwave single-scattering properties for use in general circulation and cloud ensemble models. J Clim. 1998;11(2):202-214. https://doi.org/10.1175/1520-0442(1998)011<0202:PFCOAS>2.0.CO;2
- Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res Atmos. 1997;102(D14):16663-16682. https://doi.org/10.1029/97JD00237
- Chen F, Dudhia J. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part II: preliminary model validation. Mon Weather Rev. 2001;129(4):587-604. https://doi.org/10.1175/1520-0493(2001)129<0587:CAALSH>2.0.CO;2
- Ek MB, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, et al. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J Geophys Res Atmos. 2003;108(D22):8851.
- Lee SH, Park SU. A vegetated urban canopy model for meteorological and environmental modelling. Bound Layer Meteorol. 2008;126(1):73-102. https://doi.org/10.1007/s10546-007-9221-6
- Lee SH, Lee H, Park SB, Woo JW, Lee DI, Baik JJ. Impacts of in-canyon vegetation and canyon aspect ratio on the thermal environment of street canyons: numerical investigation using a coupled WRF-VUCM model. Q J R Meteorol Soc. 2016;142(699):2562-2578. https://doi.org/10.1002/qj.2847
- Nakanish M. Improvement of the Mellor-Yamada turbulence closure model based on large-eddy simulation data. Bound Layer Meteorol. 2001;99(3):349-378. https://doi.org/10.1023/A:1018915827400
- Nakanishi M, Niino H. An improved Mellor-Yamada level-3 model with condensation physics: its design and verification. Bound Layer Meteorol. 2004;112(1):1-31. https://doi.org/10.1023/B:BOUN.0000020164.04146.98
- Nakanishi M, Niino H. An improved Mellor-Yamada level-3 model: its numerical stability and application to a regional prediction of advection fog. Bound Layer Meteorol. 2006;119(2):397-407. https://doi.org/10.1007/s10546-005-9030-8
- Nakanishi M, Niino H. Development of an improved turbulence closure model for the atmospheric boundary layer. J Meteorol Soc Jpn. 2009;87(5):895-912. https://doi.org/10.2151/jmsj.87.895
- Grell GA, Devenyi D. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys Res Lett. 2002;29(14):1693.
- Lin YL, Farley RD, Orville HD. Bulk parameterization of the snow field in a cloud model. J Appl Meteorol Climatol. 1983;22(6):1065-1092. https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2
- Stauffer DR, Seaman NL. Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: experiments with synoptic-scale data. Mon Weather Rev. 1990;118(6):1250-1277. https://doi.org/10.1175/1520-0493(1990)118<1250:UOFDDA>2.0.CO;2
- Mun J, Lee HW, Jeon W, Lee SH. Impact of meteorological initial input data on WRF simulation: comparison of ERA-interim and FNL data. J Environ Sci Int. 2017;26(12):1307-1319. https://doi.org/10.5322/JESI.2017.26.12.1307
- Zhu X, Iungo GV, Leonardi S, Anderson W. Parametric study of urban-like topographic statistical moments relevant to a priori modelling of bulk aerodynamic parameters. Bound Layer Meteorol. 2017;162(2):231-253. https://doi.org/10.1007/s10546-016-0198-x
- Allwine KJ, Whiteman CD. Single-station integral measures of atmospheric stagnation, recirculation and ventilation. Atmos Environ. 1994;28(4):713-721.
- Halios CH, Flocas HA, Helmis CG, Asimakopoulos DN, Mouschouras PG. Observations of local meteorological variability under large-scale circulation patterns over Athens, Greece. Atmosphere. 2018;9(1):25.
- Oh JS, Lee JH, Woo JW, Lee DI, Lee SH, Seo J, et al. Performance evaluation of the high-resolution WRF meteorological simulation over the Seoul metropolitan area. Atmosphere. 2020;30(3): 257-276. https://doi.org/10.14191/ATMOS.2020.30.3.257