• KIEAE Journal
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• v.5 no.3
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• pp.41-48
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• 2005

Before occupation of an apartment housing, the builders are required to inform the test result of IAQ to the public. However, there is no simplified method to predict IAQ before measurement of pollutant concentration. In this study, a simplified way of predicting IAQ based on the distribution of indoor pollutant concentration is proposed. 7 different cases of air change rate have been simulated through CFD analysis to get the distribution ratio of each pollutant material and then simplified functions were used with CRIAQ1 values derived from CFD simulation to evaluate by comparing the influence of each material in the indoor pollutant concentration. Again, a lot of efforts which can improve the indoor air quality have been performed. Materials used in indoor space are labeled with their pollutant emission level. Installation of ventilation system in residential buildings will be regulated by a building codes sooner or later. But it is important to understand the fact that layout of walls, location or size of openings will influence the indoor air flow and pollutant concentration. And location of emitting material influences to indoor air pollutants distribution. But until now there is few recognition and consideration of these factors. Therefore, in this paper the effects of these factors is proved and some kind of guideline is made for designers after a comparison of typical apartment floor plan and a new type plan with their average pollutant concentration and its distribution of each room. CFD(Computational Fluid Dynamics) program was used to show the indoor air flow and pollutant concentration distribution. For this purpose, a typical $100m^2$ apartment floor plan was chosen as a case study model and several alternatives were reviewed to improve the IAQ performance. The simulation took place in the condition of natural ventilation through windows.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.2
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• pp.226-240
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• 1995

This research has a purpose to achieve experimental data used for design of ventilation systems necessary for indoor air quality control and their operation and management. For the study, spatial concentration distribution of indoor air quality according to pollutant site in a simplified model chamber. In low flow ventilation, flow pattern of indoor air was mainly influenced by diffusion and additionally, spatial distribution was formed by convection. Distribution of ventilation efficiency according to each pattern of model chamber was evaluated. It was confirmed that diffusion patterns of a pollutant among sites were formed, centering around main stream areas of supply and exhaust outlets.

• Journal of Environmental Health Sciences
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• v.24 no.2
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• pp.134-144
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• 1998

A comprehensive air quality monitoring was carried out to investigate the criteria concentration of air pollutant in indoor of subway stations of Seoul City. The samples were collected twice per year (the first and the second half of the year) at each sampling point from February to September in 1997. Sampling point of subway stations was ticket office and platform. The measurement of indoor air pollutants such as sulfur dioxide(SO$_2$), nitrogen dioxide(NO$_2$), carbon monoxide(CO), carbon dioxide(CO$_2$), total suspended particulate(TSP) was performed to determine the indoor air quality. Heavy metals(Pb, Cd, Cu, Cr, As, Hg) were also measured together with those air pollutants. The annual average concentration of CO$_2$ and TSP in subway stations were relatively high while those of heavy metals were within 10% of environmental recommended standard concentration in all stations. As results of regression analysis between line and line of air factors, the concentrations of CO, CO$_2$, TSP, Pb, Cd, Cr and Cu were highly correlated, but those of $SO_2, NO_2$ and Hg were not correlated. As results of regression analysis between ticket office and platform, the concentrations of heavy metals such as Cr and Cu were highly correlated. Results of oneway analysis of variance between the first and the second half of the year air factors also indicated that CO, CO$_2$, Cd, Cu, Hg were significant($\alpha$=0.01), respectively. The average contration of total suspended particulate(TSP) in subway line No. 1 was shown high concentration(200 $\mu g/m^3\cdot$ day) level.

• Journal of the Korean Society of Combustion
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• v.8 no.2
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• pp.7-16
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• 2003

The transfer of air pollutants between passenger room and service room in train are investigated by the computational analysis. The effects of service room temperature, inlet velocity, initial concentration and heating are studied. The flow induced by the difference of density between two rooms is found to take the major role in transfer of polluted air. Low temperature of service room enhances the polluted air flow into passenger room along the floor. Exhaust fan above the door between two rooms is not effective for this case. Strong inlet flow is found to suppress polluted air flow from service room. The heating of passenger room can promote air pollution.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.1 no.2
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• pp.164-180
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• 1991

For the purpose of contributing to the promotion of health of the employees working at the same kind of department store or similar type of business and the people utilizing them and preparing the basic data for the establishment of mangagement measure by assessing the level of air pollusion at indoor and outodoor of four department store among the distribution service business in Pusan area, authors measured the concentration of sulfur dioxide, nitrogen dioxide, formaldehyde and total suspanded particle according to the measuring height of variable at indoor and outodoor from Aug. 1990. to sep. an. d Jan, 1991 to Feb.: for each two months in summer and winter, and studied by dividing the variable factor into atmospheric factor (temperature, humidity and air velociy) The results are as follows ; 1. The mean concentration of air pollutants at indoor to total subjects was nitrogen dioxide 31.1ppb, sulfur dioxide 51.7ppb, formaldehyde 162.lppb and total suspanded particle $67.7{\mu}g/m^3$, and it was higher in winter than in summer (P>0.05) 2. The mean concentration of formaldehyde to total subjects was higher indoors than outdoors (P<0.001), in case of nitrogen dioxide there was no significant difference and sulfur dioxide and total suspanded particle were higher outdoors than indoors (P<0.05) 3. The concentration of nitrogen dioxide and sulfur dioxide proved to be a adverse correlation, reducing with height. 4. According to the result questioned about the exposure concentration of pollutant and the general symptom caused by the pollutant, nitorgen dioxide and symptom proved to be a positive correlation (P<0.09).

• KIEAE Journal
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• v.17 no.5
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• pp.33-41
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• 2017

Purpose: Indoor air quality in residential buildings needs to be evaluated over the long term. In previous research, there has been an attempt to perform the health risk assessment of pollutants by using numerical models as a method of long-term evaluation. However, the numerical model of this precedent study has limitations that do not reflect the actual concentration distribution. Therefore, this study introduces the CRPS index, constructs a numerical model that can reflect the concentration distribution, and then presents a more accurate health risk assessment method using it. At this time, the pollutants are toluene, which is a typical material released from building materials. Method: CRPS index was applied to existing numerical model to reflect concentration distribution. This was used to calculate concentrations at adult breathing area and to use them for exposure assessment in a health risk assessment. After that, we entered adult data and conducted a health risk assessment of toluene. Results: The non-carcinogenic risk of toluene was calculated to be 0.0060. This is 5% smaller than the existing numerical model, meaning that it is more accurate to predict the pollutant risks. This value is also lower than the US EPA reference value of 1. Therefore, under the conditions of this study, long-term exposure of adults to toluene has no impact on health.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.316-321
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• 2006

Multiplex use facility emphasized the importance of indoor air environment because many people using that place. People using parking lot of multiplex use facility in little time, but a pollutant of in indoor air menacing user health. This study measure and analyze the CO, $CO_2$ for better air quality of an indoor parking lot in the multiplex user facility. As a result, two-way opened above ground parking lot is higher numerical value of CO, $CO_2$ than an underground parking lot. And a parking lot of square form is higher numerical value of $CO_2$ than a parking lot of rectangle form.

• Proceedings of the SAREK Conference
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• 2005.06a
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• pp.18-18
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• 2005

• Journal of Environmental Science International
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• v.21 no.6
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• pp.677-685
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• 2012

The elevator is needed healthy and comfortable indoor air quality (IAQ) for using many people, but we found nothing about IAQ studies of an elevator. In general, air in the elevator car is sucked from the elevator's hoistway straight into the car using a fan. The air sucked into the hoistway may be filled with dust, mold and bacteria. This study was performed to measure of characteristics of indoor air quality (PM10, falling bacteria, $CO_2$, Rn and HCHO) in elevator's hoistway, CAR and lobby of 8 sites (4 apartments and 4 commercial buildings) in Gyeongnam from May, 2010 to January, 2011. With regards to the differences of pollutant distribution among hoistway, CAR, and lobby, the concentration of Rn and HCHO were the highest in hoistway followed by CAR and lobby, and PM10, falling bacteria and $CO_2$ were the highest in CAR followed by hoistway and lobby. Mean concentrations of PM10 were 104.9 ${\mu}g/m^3$ in CAR, 92.3 ${\mu}g/m^3$ in hoistway and 68.2 ${\mu}g/m^3$ in lobby, respectively.

• Journal of environmental and Sanitary engineering
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• v.23 no.2
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• pp.35-45
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• 2008

In order to recommend criteria for the administration law on indoor air quality, this study was conducted to examine the distribution and the concentration of indoor air pollutants ($PM_{10},\;CO_2$, CO, HCHO, TBC, $NO_2$, Rn, VOCs, asbestos, $O_3$) in public facilities in the Chung-Nam area. The concentrations of indoor air pollutants were obtained from sixty seven public facilities such as a cinema, an office, a restaurant, a theater and an academy. This study was performed from August to December, 2005. The results of this study showed that the concentrations of indoor air pollutants such as $PM_{10},\;CO_2$, CO, HCHO, TBC, Rn and $O_3$ were less than the recommended limits. However, the average concentration of VOCs was $521.73{\mu}g/m^3$ (GM : $221.69{\mu}g/m^3$), which was higher than the recommended limit of $400{\mu}g/m^3$. Moreover, the average concentration of $NO_2$ was 345.66ppb (GM : 69.95ppb), which was higher than the recommended limit of 50 ppb. The correlation between the concentrations of indoor air pollutants and the type of facilities with respect to $CO_2$, TBC and Rn was statistically low (p<0.05). However, the correlation was high in terms of the CO and $O_3$ concentrations (p<0.01). No relationship between the indoor air pollutants and the type of facilities was observed for $PM_{10}$, VOCs and $NO_2$. The year of construction was compared to the concentrations of indoor air pollutants. Specifically, when the construction date was less than 3 years, the HCHO, VOCs and TBC concentrations were $44.75{\mu}g/m^3,\;555.07{\mu}g/m^3$ and $337.79CFU/m^3$, respectively. These concentrations were $120{\mu}g/m^3$ and $211.84CFU/m^3$ higher for VOCs and TBC than the concentrations obtained from the facilities more than 3 years. However, the concentration of HCHO was similar between the facilities older and younger than 3 years of age. Year, temperature, humidity and indoor air pollutant correlation analyses showed that temperature and humidity, temperature and TBC, temperature and $O_3,\;PM_{10}$ and $NO_2$, HCHO and VOCs, $CO_2$ and Rn had positive relationships. However temperature and Rn, humidity and $CO_2,\;CO_2$ and $O_3,\;O_3$ and Rn had negative relationships. Accordingly, it will be necessary to manage the factors affecting indoor air quality so that the residents can have a more comfortable and healthier living environment. Ultimately, the results of this study are expected to be utilized as baseline data.