• Nuclear Engineering and Technology
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• 제17권3호
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• pp.216-223
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• 1985

원자력 발전소로부터 방출되는 기체상 방사성 물질에 의한 환경 영향을 평가함에 있어서 방사성 물질의 대기중에서의 수송과 확산을 기술하는 모델로써 Gaussian plume mode띠 널리 사용되고 있다. Gaussian plume model은 평탄한 지형에 적용하도록 만들어진 모델이므로 대부분의 국토가 복잡한 산악으로 구성된 한극의 경우에 적용하기 위해서는 모델의 수정이 필요하다. 본 논문에서는 2차원적 x-ｚ 평면에서 확산방정식을 해석한 numerical diffusion model과 Gaussian plume model을 비교하여, Gaussian plume mode에서 가장 중요한 변수인 dispersion coefficient를 지형의 높이에 대하여 보정하였다. 보정된 dispersion coefficient 값을 Gaussian plume mode에 적용시켜 계산을 수행한 결과를 보면, 산악지역에서의 방사성 물질의 농도는 평지에서보다 낮게 나타나고 있다.

• 한국가스학회지
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• 제8권1호
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• pp.13-17
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• 2004

무거운 독성가스의 소규모 누출에 대한 가우시안 연속모델의 적용성을 평가하기 위하여 염소가스의 소규모 누출에서 염소농도의 실험값과 여러 가지 분산계수를 사용한 가우시안 연속모델에 의해 산출한 이론값을 비교하였다. 그 결과, 염소가스 분산은 분산계수와 대기안정도에 따라 상당히 차이가 있었으며, 염소농도는 Briggs의 분산계수와 유효 누출높이를 사용한 가우시안 연속모델에 의해 비교적 정확하게 산출할 수 있었다.

• 한국전산유체공학회지
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• 제4권3호
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• pp.12-20
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• 1999

The computations of the flowfield and pollutant dispersion over a flat plate and the Russian hills of various slopes are described. The Gaussian plume and the puff model have been used to calculate concentration of pollutant. The Reynolds-averaged unsteady incompressible Navier-Stokes equation with low Reynolds κ-ε model has been used to calculate the flowfield. The flow data of a flat plate and the Russian hills from Navier-Stokes equation solutions has been used as the input data for the puff model. The computational results of flowfield agree well with experimental results of both a flat plate and Russian hills. The concentration prediction by the Gaussian plume model and the Gaussian puff model also agrees flirty well with experiments.

• 한국대기환경학회지
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• 제23권4호
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• pp.449-456
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• 2007

Dispersion coefficient preprocessing schemes have been examined to improve plume dispersion model performance in complex coastal areas. The performances of various schemes for constructing the sigma correction order were evaluated through estimations of statistical measures, such as bias, gross error, R, FB, NMSE, within FAC2, MG, VG, IOA, UAPC and MRE. This was undertaken for the results of dispersion modeling, which applied each scheme. Environmental factors such as sampling time, surface roughness, plume rising, plume height and terrain rolling were considered in this study. Gaussian plume dispersion model was used to calculate 1 hr $SO_2$ concentration 4 km downwind from a power plant in Boryeung coastal area. Here, measured data for January to December of 2002 were obtained so that modelling results could be compared. To compare the performances between various schemes, integrated scores of statistical measures were obtained by giving weights for each measure and then summing each score. This was done because each statistical measure has its own function and criteria; as a result, no measure can be taken as a sole index indicative of the performance level for each modeling scheme. The best preprocessing scheme was discerned using the step-wise method. The most significant factor influencing the magnitude of real dispersion coefficients appeared to be sampling time. A second significant factor appeared to be surface roughness, with the rolling terrain being the least significant for elevated sources in a gently rolling terrain. The best sequence of correcting the sigma from P-G scheme was found to be the combination of (1) sampling time, (2) surface roughness, (3) plume rising, (4) plume height, and (5) terrain rolling.

• Journal of Radiation Protection and Research
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• 제15권2호
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• pp.51-56
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• 1990

대기로 방출된 방사성 물질의 대기 확산 형태를 파스킬의 대기안정도에 따른 모델인 타원형 근사화 모델로 가정하고 인체가 받을 수 있는 감마선에 의한 피폭선량률을 계산하였다. 이 결과를 대기 확산 기본 모델인 가우스플룸 모델을 적용하여 계산한 결과 및 이미 발표된 원형 근사화 모델에 의한 결과와 비교하여 보았다. 제시한 타원형 근사화 모델을 이용하여 피폭선량을 계산한 결과는 가우스플룸 모델의 결과와 비슷하고, 원형 근사화 모델의 경우보다 오차가 적었으며, 동시에 기본 모델인 가우스 플룸 모델과 비교할 때 1/40 정도의 계산 시간이 걸렸다.

• Journal of Korean Society for Atmospheric Environment
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• 제18권E4호
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• pp.215-221
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• 2002

The real-time modeling system, named AirWatch System, has been developed to evaluate the environmental impact from a large source. It consists of stack TMS (TeleMetering System) that measures the emission data from the source, AWS (Automatic Weather Station) that monitors the weather data and computer system with the dispersion modeling software. The modeling theories used in the system are Gaussian plume and puff models. The Gaussian plume model is used for the dispersion in the simple terrain with a point meteorological data while the puff model is for the dispersion in complex terrain with three dimensional wind fields. The AirWatch System predicts the impact of the emitted pollutants from the large source on the near-by environment on the real -time base and the alarm is issued to control the emission rate if the calculated concentrations exceed the modeling significance level.

• 대한원격탐사학회지
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• 제38권1호
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• pp.1-20
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• 2022

As unmanned aerial vehicle (UAV) technology grew in popularity over the years, it was introduced for air quality monitoring. This can easily be used to estimate the sidewalk emission concentration by calculating road traffic emission factors of different vehicle types. These calculations require a simulation of the spread of pollutants from one or more sources given for estimation. For this purpose, a Gaussian plume dispersion model was developed based on the US EPA Motor Vehicle Emissions Simulator (MOVES), which provides an accurate estimate of fuel consumption and pollutant emissions from vehicles under a wide range of user-defined conditions. This paper describes a methodology for estimating emission concentration on the sidewalk emitted by different types of vehicles. This line source considers vehicle parameters, wind speed and direction, and pollutant concentration using a UAV equipped with a monocular camera. All were sampled over an hourly interval. In this article, the YOLOv5 deep learning model is developed, vehicle tracking is used through Deep SORT (Simple Online and Realtime Tracking), vehicle localization using a homography transformation matrix to locate each vehicle and calculate the parameters of speed and acceleration, and ultimately a Gaussian plume dispersion model was developed to estimate the CO, NOx concentrations at a sidewalk point. The results demonstrate that these estimated pollutants values are good to give a fast and reasonable indication for any near road receptor point using a cheap UAV without installing air monitoring stations along the road.

• 한국방사성폐기물학회:학술대회논문집
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• 한국방사성폐기물학회 2004년도 학술논문집
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• pp.368-376
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• 2004

영광부지의 추적자 확산실험결과의 자료동화를 통하여 Gaussian plume 모형의 확산인자의 수정과 추적자 방출률 평가를 수행하였다. 부지 주변의 여러 지점에서 관측한 실험결과에 선형계획법을 적용하여 확산평가에 있어선 가장 불확실성이 크다고 알려진 확산인자를 수정하였다. 원자력 비상시 초기 대응평가에 사용되는 정보 가운데 가장 큰 불확실성을 포함한 선원항 정보를 추적자 농도 분포로부터 추정하였다. 실험 당시의 추적자 방출량을 모른다고 가정하고 Gaussina plume 모형의 예측치와 확산실험의 실측치를 이용한 최소자승법을 적용하여 방출률을 추정하였다. 확산인자를 수정한 후 Gaussian plume 모형의 예측력은 방출점으로 3km 및 8km 떨어진 포집선 두 경우 모두 증가하는 것으로 나타났다. 실험당시의 방출률을 모른다고 가정하고 관측지점의 농도에 최소자승법을 적용한 결과 24%이내에서 실제 방출률을 양호하게 추정하고 있음을 확인할 수 있었다.

• 한국대기환경학회지
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• 제14권2호
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• pp.81-94
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• 1998

Six complex terrain dispersion models recommended by the U. S. Environmental Protection Agency were investigated using a hypothetical case in which a plume approaches complex terrain. The six models considered were Valley, CTSCREEN, COMPLEX 1, SHORTZ, RTDM, and CTDMPLUS, the latter four being closely studied. Highest concentrations were predicted for 48 receptors and plume behaviors were compared for stable and unstable meteorological conditions. Under stable conditions, ground-level concentrations were determined by the height of the plume centerline above the terrain. The concentrations estimated by SHORTZ and COMPLEX I were higher than those estimated by CTSCREEN, with CTDMPLUS predicting the lowest concentrations. In particular, the height of the lift midpoint, as well as the co.nterline of the plume, are important in the model calculation of CTDMPLUS. Under unstable conditions, the vertical dispersion plays a key role in determining ground -level concentrations. For this case, concentrations predicted by CTDMPLUS were the 'highest, whereas those predicted by SHORTZ were the lowest. Concentration distributions predicted by CTDMPLUS are quite similar to typical Gaussian distributions even on complex terrain, except for a slight shift of the plume centerline due to the of(tract of the geostrophic wind. In addition,24-hour average concentrations were estimated for comparison with results from the Valley model. Among the four models studied closely, CTDMPLUS predicted the lowest 24-hour average concentrations, but the concentrations estimated by Valley were lower than those estimated by CTDMPLUS.

• 한국환경과학회지
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• 제15권4호
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• pp.319-324
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• 2006

Release rate is one of the important items for the environmental impact assessment caused by radioactive materials in case of an accidental release from the nuclear facilities. In this study, the uncertainty of the estimated release rate is evaluated using Monte Carlo method. Gaussian plume model and linear programming are used for estimating the release rate of a source material. Tracer experiment is performed at the Yeoung-Kwang nuclear site to understand the dispersion characteristics. The optimized release rate was 1.56 times rather than the released source as a result of the linear programming to minimize the sum of square errors between the observed concentrations of the experiment and the calculated ones using Gaussian plume model. In the mean time, 95% confidence interval of the estimated release rate was from 1.41 to 2.53 times compared with the released rate as a result of the Monte Carlo simulation considering input variations of the Gaussian plume model. We confirm that this kind of the uncertainty evaluation for the source rate can support decision making appropriately in case of the radiological emergencies.