• Journal of Radiation Protection and Research
• /
• v.19 no.1
• /
• pp.69-80
• /
• 1994

The TCMI(Three-Compartment Model for iodine) computer code has been developed, which is based on the three-compartment model and the respiratory model recommended in ICRP publication 54. This code is able to evaluate the thyroid burden, dose equivalent, committed dose equivalent and urinary excretion rate as time-dependent functions from the input data: working time and the radioiodine concentration in air. Using the TCMI code, the time-dependent thyroid burdens, the thyroid doses and the urinary excretion rates were calculated for three specific exposure patterns : acute, chronic and periodic. Applicability as an internal dose evaluation method has been assessed by comparing the results with some operational experiences. Simple equations and tables are provided to be used in the evaluation of the thyroid burden and the resulting doses for given I-131 concentration in air and the working time.

• Journal of the Korea Society for Simulation
• /
• v.20 no.3
• /
• pp.59-67
• /
• 2011

This paper proposes a model to analyze the fault factors of air-to-ground weapon delivery utilizing software fault localization methods. In the previous study, to figure out the factors to affect the accuracy of air-to-ground weapon delivery, the FBEL (Factor-based Error Localization) method had been proposed and the fault factors were analyzed based on the method. But in the study, the correlation between weapon delivery accuracy and the fault factors could not be revealed because the firing accuracy among several factors was fixed. In this paper we propose a more precise fault analysis model driven through a study of the correlation among the fault factors of weapon delivery, and a method to estimate the possibility of faults with the limited number of test cases utilizing the model. The effectiveness of proposed method is verified through the simulation utilizing real delivery data. and weapons delivery testing in the evaluation of which element affecting the accuracy of analysis that was available to be used successfully.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.14 no.4
• /
• pp.49-58
• /
• 2006

In the respect of the environmental protection viewpoint, $CO_2$ may be one of the most attractive alternative refrigerants for an automotive air-conditioning system. For the development of control algorithm of a $CO_2$ automotive air-conditioning system, characteristics of a $CO_2$ refrigerant should be considered. The high-side pressure of a $CO_2$ system should be controlled in order to improve the system efficiency. In this study, dynamic physical models of a $CO_2$ system were developed and dynamic behaviors of the system were predicted by using these models. Control algorithms of a $CO_2$ system were also developed and the effectiveness of these algorithm was verified by using dynamic models.

• Journal of the Korean Solar Energy Society
• /
• v.31 no.5
• /
• pp.47-59
• /
• 2011

The purpose of this paper is to simulate the high ozone concentration in Shiwha Banwol indusrial complex. High pollution episodes (ozone alert) of this area are the results of geographical location and its air pollutants emission. This research has used meteorological model (RAMS) and photochemical air pollution Model (CIT model). As first step of the evaluate of this combined model system simulations are done in terms of meteorological characteristics like wind fields, PBL-height, etc.. Numerical simulations are carried out with real meteorological synoptic data on June. 24-25, 2010. In comparison with real measurement and another research the model reflects well local meteorological phenomena and shows the possibility to be utilized to analyse the pollutant dispersion over irregular terrain region. The high ozone concentration is deeply correlated to the ambient air temperature, wind speed and solar radiation. Local meteorological phenomena like sea-land breeze impact on horizontal dispersion of ozone. This analysis of meteorological characteristics can, in turn, help to predict their influences on air quality and to manage the high ozone episodes.

• Journal of IKEEE
• /
• v.24 no.4
• /
• pp.1136-1140
• /
• 2020

As air pollution caused by fine dust becomes serious, interest in the spread of fine dust and prediction of air quality is increasing. The causes of fine dust are very diverse, and some fine dust naturally occurs through forest fires and yellow dust, but most of them are known to be caused by air pollutants from burning fossil fuels such as petroleum and coal or from automobile exhaust gas. In this paper, the CALPUFF model recommended by the US EPA is used, and CALPUFF diffusion modeling is performed by generating a wind field through the CALMET model as a meteorological preprocessing program that generates a three-dimensional wind field, which is a meteorological element required by CALPUFF. Through this, we propose a fine dust diffusion modeling and air quality prediction system that reflects complex topography.

• Journal of the Korea Concrete Institute
• /
• v.22 no.2
• /
• pp.209-217
• /
• 2010

Recently, some mathematical models for the prediction on progress of carbonation of concrete were reported. These models take account for $CO_2$ diffusion and chemical reaction between $Ca(OH)_2$ and $CO_2$. Based on the assumption that $CO_2$ diffuses in the carbonation zone and reacts with $Ca(OH)_2$ at the outer face of carbonation zone and non-carbonation zone. In this study, a mathematical model to predict the progress of carbonation of concrete has been established based on the reducing concentration of $Ca(OH)_2$ in the carbonation progress zone, where $Ca(OH)_2$ reacts with $CO_2$ and $Ca(OH)_2$ and $CaCO_3$ coexist. Also, the prediction model of carbonation progress rate of concrete using the air permeability coefficient regarding to $CO_2$ diffusion is developed. As a result of this study, an expression, the model equation is obtained for the prediction of carbonation based on the time and interaction velocity between $CO_2$ and Ca(OH)$_2$ dependent air permeability coefficient. The prediction by the model satisfied the experimental data of the accelerated carbonation for painted concrete. Consequently, the model can predict the rate of carbonation and the potential service life of concrete structure exposed to atmosphere.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 1999.10a
• /
• pp.163-167
• /
• 1999

컴퓨터가 일반화됨에 따라 대기질 관리 및 연구 분야에서 수치모델 이용이 보편화되고 있다. 현재 사용되는 대기오염 수치모델의 종류는 매우 다양하며, 구동에 필요한 전산시스템의 규모도 다양하다. 연구용 및 대형 모델들은 활용 분야가 넓고 신뢰도가 높은 반면 대형 전산시스템과 고도의 전문 인력을 요구한다. 그러나, 국내 대부분의 대기질 관련 기관의 사용 가능한 전산시스템과 담당 인력을 고려할 때 대형 모델의 사용이 일반화되기에는 한계가 있다.(중략)

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2002.04a
• /
• pp.117-118
• /
• 2002

본 연구에서는 지하수로부터 방출된 실내라돈오염을 해석하기 위한 수학적 모델에서 모델인자들의 불확실성을 고려하고 인체축적량을 정량적으로 해석하는 PBPK모델을 사용하여 호흡을 통한 라돈의 인체축적량을 보다 현실적으로 평가하려고 한다. 우선, 전에 사용한 3 구역모델을 샤워실과 화장실을 구분하는 경계가 없다는 국내실정을 감안하여 보다 현실적으로 개량한 2-구역 모델을 개발하였다. (중략)

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2001.11a
• /
• pp.399-400
• /
• 2001

최근 대도시의 대기 오염은 자동차에 의한 선오염원이 차지하는 비중이 전체 오염원 중에서 상대적으로 크게 증가하고 있고, 선오염원에 의한 영향도 분석에는 대기확산모델을 주로 이용한다. 우리나라에서 사용하는 선오염원 모델에는 HIWAY2, PAL, CALINE3, CAL3QHC, CAL3QHCR 등이 있다. 이와 같은 모델은 주로 환경영향평가에 이용되고 있는데, 현재 국내 환경영향평가에서 주로 사용되고있는 선오염원 예측 모델은 CALINE3이다. (중략)

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2002.04a
• /
• pp.105-106
• /
• 2002

산업이 발달함에 따라 대기 환경의 중요성이 강조되면서 대기 확산 모델을 이용하여 오염물질의 영향을 파악하는 일이 많아졌다. 그러나 대기 확산 모델은 수치계산으로 나온 값으로 자연현상의 모든 영향을 파악하기 어렵다는 한계점을 가지고 있다. 이러한 대기 확산 모델이 자연현상을 어느 정도 반영하는가를 평가하기 위해서는 추적자 물질을 이용하여 대기 오염물질의 확산 농도를 측정한 실측자료를 통하여 기존 모델을 평가하고 개선하는 것이 일반적인 방법이다. (중략)