• Atmosphere
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• v.31 no.2
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• pp.241-249
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• 2021

A smart city utilizes data collected from various sensors through the internet of things (IoT) and improves city operations across the urban area. Recently substantial research is underway to examine all aspects of data that requires for the smart city operation. Atmospheric data are an essential component for successful smart city implementation, including Urban Air Mobility (UAM), infrastructure planning, safety and convenience, and traffic management. Unfortunately, the current level of conventional atmospheric data does not meet the needs of the new city concept. New and innovative approaches to developing high spatiotemporal resolution of observational and modeling data, resolving the complex urban structure, are expected to support the future needs. The geographic information system (GIS) integrates the atmospheric data with the urban structure and offers information system enhancement. In this study we proposed the necessity and applicability of the high resolution urban meteorological dataset based on heavy fog cases in the smart city region (e.g., Sejong and Pusan) in Korea.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.109-127
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• 2011

Atmospheric aerosols, small particles in the atmosphere, are one of the important parameters in climate change and human health. Additionally, accurate estimates of aerosol species are increasingly important in environmental impact assessment studies. Recent advances in global satellite remote sensing provide powerful tool for air quality monitoring. This study explores the potential usage of satellite derived data such as atmospheric aerosols for air quality monitoring as well as climate change study. The objectives of this study is to understand the general features of the global distribution of type dependent aerosols. A detailed spatio-temporal variability of the each different satellite dataset shows the variation of the global zonal average and specific geographical regions where the strong emission sources are located. Especially, significantly large aerosol amounts are observed in Asia and Africa because of the desert dust storm, anthropogenic and biomass burning emissions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.171-178
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• 1997

본 연구는 셀루라 제조방식을 갖고 있는 대기업에서의 예방보전에 관한 연구이다. 특히 24 시간운영하는 생산시스템을 갖고있으며, 보전요원이 충분한 업종이나 기업을 연구대상으로 하였다. 새로운 예방보전 절차를 제시하고 하나의 셀을 모델링하였다. 이 모델을 대상으로 시뮬레이션기법을 사용하여 기존에 절차와 비교분석하였다.

• Journal of Korean Society for Atmospheric Environment
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• v.7 no.3
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• pp.156-168
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• 1991

The purpose of this paper is to develop a stochastic model for daily sulphur dioxide $(SO_2)$ concentrations prediction in urban area (Seoul). For this, the influence of the meteorological parameters on the $SO_2$ concentrations is investigated by a statistical analysis of the 24-hr averaged $SO_2$ levels of Seoul area during 1989 $\sim$ 1990. The annual fluctuations of the regression trend, periodicity and dependence of the daily concentration are also analyzed. Based on these, a nonlinear regression transfer function model for the prediction of daily $SO_2$ concentrations is derived. A statistical procedure for using the model to predict the concentration level is also proposed.

• Journal of Korean Society for Atmospheric Environment
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• v.7 no.3
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• pp.150-155
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• 1991

The Gaussian models were selected as the reference models for the study. During the study of the model verification in the Ulsan Industrial Complex, the accuracy and limitation of models were assessed. The correlation coefficients of the observed and the predicted values for CDM 2.0 and TCM2B were ranged from 0.57 to 0.73 and from 0.72 to 0.86, respectively. And there were relatively large discrepancies between the predicted and predicted and the measured concentrations for several locations. Therefore, the Gaussian models should be used with careful discretion to apply the urban area in Korea.

• Journal of Korean Society for Atmospheric Environment
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• v.7 no.3
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• pp.145-149
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• 1991

A one dimensiional cumulus cloud model has been developed for the investigation of temporal and altitudinal variation of trace gases and the wet deposition rates of sulfate for different simulation conditions. The results show that the dynamic field, liquid mixing ratios and the solubility of trace gases affect the distribution of trace gases and the droplet pH. Temporal variation of the predicted surface precipitation and sulfate deposition rates agree well with the field data.

• Journal of Korea Fair Competition Federation
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• no.91
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• pp.2-7
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• 2003

새 정부가 국정비전과 국정과제의 하나로 추진하고 있는 $\lceil$공정과 투명$\rfloor$, $\lceil$자유롭고 공정한 시장질서 확립$\rfloor$은 곧 지배구조의 개선을 의미하는 것이다. 그리고 기업 지배구조의 개념 및 목표는 기업 내$\cdot$외부 이해관계자들의 견제와 균형을 통해 기업의 시장가치와 경쟁력을 높이는 것이라는 점에서 지배구조를 개선해 나가기 위한 모든 시장참여자들의 노력이 필수적이다. 특히 대기업집단의 지배구조는 시장에 미치는 영향력이 매우 크기 때문에 훨씬 더 투명해야 하고 바람직한 모델이 필요하게 되는 것이다. 그러나 제도의 완비보다 더욱 중요한 것은 그 제도를 운용하는 정부와 제도의 적용대상이 되는 기업의 의식의 변화라고 생각한다.

• Journal of Korean Society for Atmospheric Environment
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• v.5 no.2
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• pp.84-96
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• 1989

To evaluate the short term air pollution dispersion model, the diffusion experiment was conducted on the flat terrain near Chuncheon. Sulfur hexafluoride $(SF_6)$ gas was used to determine the horizontal spread of plume $(\sigmay)$ for calculated by CRSTER model. Results show that CRSTER model underestimates $\sigma$y because averaging time adjustment is not applied to calculate the $\sigma$y. The scheme that can estimate the atmospheric stability more accurate than Turner method, was presented.

• Journal of Korean Society for Atmospheric Environment
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• v.7 no.2
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• pp.127-136
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• 1991

This paper is concerned with the development and application of a stochastic model for daily sulphur dioxide $(SO_2)$ concentrations in urban area (Seoul). For this, the characteristics of the regression trend, periodicity and dependence of the daily $SO_2$ concentration are investigated by a statistisical analysis of the daily average $SO_2$ values measured in Seoul area during 1989 $\sim$ 1990. Based on these, nonlinear regression time series model for the prediction of daily $SO_2$ concentrations is derived. A statistical procedure for using the model to predict the concentration level is also proposed.

• Journal of Korean Society for Atmospheric Environment
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• v.8 no.1
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• pp.74-83
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• 1992

Photochemical reactions are important for the diurnal variation of the concentrations of air pollutants in the urban atmosphere. A photochemical reaction model was developed, which includes in terms of the effective chemical reaction. Various experimental results were introduced to the construction of model. To verify the applicability of the model, the simulated results were compared with those observed. By comparing the simulated results with those observed, it was shown that those two are in good agreement qualitatively. As a result, the photochemical reaction model which has been developed in this study is found to be useful for the prediction of concentrations of air pollutants in the atmosphere.