원전 사고 시 RASCAL과 HYSPLIT 전산코드를 이용한 대기확산 모델별 방사성물질의 지표면 침적농도 분석
Analysis of Surface Deposition Concentration by Atmospheric Dispersion Model Using RASCAL and HYSPLIT Computer Codes for Nuclear Power Plant Accident
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Introduction of the Lagrangian atmospheric dispersion model was considered insteadof the existing Gaussian atmospheric dispersion models for the level 3 probabilistic safety assessmentto reduce uncertainty in the atmospheric dispersion. The objective of the present study was toanalyze atmospheric dispersion behavior, surface deposition, and atmospheric dispersion models. The study was performed using RASCAL computer code, which employs Gaussian plume modeland Gaussian puff model and HYSPLIT computer code, which employs Lagrangian model. Forthe analysis, long-term station blackout accident was assumed. Released radionuclides includedparticle type 137Cs and gaseous type 131I, which are dispersed widely and extensively for nuclearaccident case. Radionuclide emission rate by time resulting from State-of-the-Art Reactor ConsequenceAnalyses project was used as a source term. The atmospheric dispersion behavior and surfacedeposition was analyzed for two case dates, which include a date with average wind speed ofmore than 3 m·s-1 and a date with wind speed of less than 3 m·s-1. For both 137Cs and 131I, atmosphericdispersion directions were roughly similar among three models. However, deposition concentrationof 131I compared with 137Cs was higher by about 100 folds for the Gaussian models andby about 1,000 folds for the Lagrangian model. For 137Cs, deposition concentrations were higherfor Gaussian plume model, Gaussian puff model, and Lagrangian model, in that sequence. For131I, deposition concentrations were generally higher for the Lagrangian model. The difference inthe deposition concentrations can be attributed to differences in the atmospheric concentration byatmospheric dispersion model and dry deposition velocity of released radionuclides. Therefore, it isrequired to study the physico-chemical characteristics of the released radionuclides for more realisticprediction of surface deposition concentration in applying the Lagrangian model instead of theexisting Gaussian plume models in the level 3 PSA. This study results is expected to contribute asan important base data for more realistic prediction of atmospheric
Abstract
Introduction of the Lagrangian atmospheric dispersion model was considered insteadof the existing Gaussian atmospheric dispersion models for the level 3 probabilistic safety assessmentto reduce uncertainty in the atmospheric dispersion. The objective of the present study was toanalyze atmospheric dispersion behavior, surface deposition, and atmospheric dispersion models. The study was performed using RASCAL computer code, which employs Gaussian plume modeland Gaussian puff model and HYSPLIT computer code, which employs Lagrangian model. Forthe analysis, long-term station blackout accident was assumed. Released radionuclides includedparticle type 137Cs and gaseous type 131I, which are dispersed widely and extensively for nuclearaccident case. Radionuclide emission rate by time resulting from State-of-the-Art Reactor ConsequenceAnalyses project was used as a source term. The atmospheric dispersion behavior and surfacedeposition was analyzed for two case dates, which include a date with average wind speed ofmore than 3 m·s-1 and a date with wind speed of less than 3 m·s-1. For both 137Cs and 131I, atmosphericdispersion directions were roughly similar among three models. However, deposition concentrationof 131I compared with 137Cs was higher by about 100 folds for the Gaussian models andby about 1,000 folds for the Lagrangian model. For 137Cs, deposition concentrations were higherfor Gaussian plume model, Gaussian puff model, and Lagrangian model, in that sequence. For131I, deposition concentrations were generally higher for the Lagrangian model. The difference inthe deposition concentrations can be attributed to differences in the atmospheric concentration byatmospheric dispersion model and dry deposition velocity of released radionuclides. Therefore, it isrequired to study the physico-chemical characteristics of the released radionuclides for more realisticprediction of surface deposition concentration in applying the Lagrangian model instead of theexisting Gaussian plume models in the level 3 PSA. This study results is expected to contribute asan important base data for more realistic prediction of atmospheric
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