Recently, the air pollution have bad effects on the indoor environment. Many buildings around the world use natural ventilation. to remove the air pallutant. But, nowadays, ventilation requirements can be demanding, as modern systems require greatly improved reliability and control. The fan and the duct are used to remove air mechanically from the space. Until now, apartment houses have been relying on the duct supply system ventilation rather than other system ventilations. Therefore, the establishment of a prediction method based on optimal ventilation energy consumption using duct supply system and ductless is the ultimate goal of this study. As a result, this study found that the characteristics of duct and ductless supply system ventilation are dependent to each exhaust system. Consequently, the local supply indices of the duct supply system is definitely superior about 24.6% ~ 26.4 % than those of ductless supply system. However, the duct supply system has greater pressure drop in ventilation area than ductless, and duct system needs a lot of ventilation energy. In this study, The ductless supply system has advantage over the duct system about 14.8 % as duct exhaust system and 20.0% as ductless exhaust system in terms of modified local supply indices.

In accordance with increase of the leisure time due to the recent economical development of the people, since the interest on the cultural performance becomes high, the construction of various performance hall is on increasing in domestic. However, in case of the multi-purpose hall constructed in domestic, because the various genres performances are performed in the one space without any special variable equipment, those of many problems have been raised that unable to satisfy the acoustic capability suitable to the purpose of performance. In case of the performance place such as the multipurpose hall, it is the requiring real situation that the variable typed system-equipped performance hall which able to adjust the acoustic characteristics suitable to each performances. Accordingly, this study has ever predicted the optimized acoustic performance through computer simulation before-opening the hall, also has ever evaluated the acoustic performance through the actual survey after-opening the hall. It is considered that such study result could be utilized as the most useful material when construction the similar multipurpose hall equipped with the variable typed system, hereafter.

This study was performed in the 175 selected child-care facilities in the urban area (Seoul, Suwon, Daejeon, and Busan) and the industrial complex area (Sihwa and Yeosu) to measure of the characteristics of VOCs in the indoor air from August, 2007 to April, 2008. All samples were collected at the indoor and outdoor places to the child-care facilities in spring, summer, and winter seasons using the Tenex absorption trap and were analyzed through the GC/MSD. The mean concentration of VOCs in the 175 child-card facilities showed the highest levels of 73.68 ㎍/m³in the toluene and the lowest levels of 0.28 ㎍/m³in the chlorobenzene. In the concentration of the TVOC, it exceeded 2.5 times more as the indoor air quality guideline in Korea. The result of this study was found that the concentration of VOCs in the child-care facilities in Korea may influenced from the some factors such as the constructional period, traffic density, and ventilation rate. These findings may expected to imply that effective risk management strategies should be applied to minimize the public health effects for children in the child-care facilities in Korea.

CO₂ and PM₁₀ in military barracks were studied using DustMate, Mini Vol. Air Sampler and DirectSense^TM PPC TG-502 Monitoring Kits in 2010. The distributions of CO₂ and PM₁₀ in the military base were strongly affected by soldier's behaviors as well as managements for the barracks. Before this study, the military site may fail to follow "IAQ Administration Law of Multiplex Utilization Facilities, ect." in terms of CO₂ and PM₁₀. After adopting advanced cleaning methods and ventilation system, the concentrations of CO₂ and PM₁₀ were maintained under the regulation, respectively. The distribution of CO₂ was related to the number and time of ventilation. In contrast, PM₁₀ was dependant on the soldiers' indoor-activities rather than ventilation. This study supported that management and education for barracks and soldiers plays in a role to control indoor quality of military facility.

Objectives : The purpose of this study is to identify the characteristics that affect the urinary phenol of workers exposed to phenol.
Subjects and Methods : Total 41 workers were selected at bisphenol A manufacturing plant and their urinary phenol concentration were measured before and after work along with the phenol concentration in the workplace air, and carried out a survey on work characteristics and lifestyle factors that could affect urinary phenol.
Results : The phenol concentration in air during work hours was 0.91 (non-detection~2.88) mg/m³, and the worker’s urinary phenol concentrations before and after work were 100.27±75.76 and 138.13±109. 58 mg/g creatinine, respectively, which showed a statistically significant increase. Comparing smoking and urinary phenol concentration, smokers had 194.54±137.52 mg/g creatinine while non-smokers had 108.88±80.10 mg/g creatinine, thus showing the urinary phenol concentration of smokers to be statistically significantly higher (p=0.046). The urinary phenol concentration increased as work hours, the frequency of skin exposure to phenol, and the amount of drinking increased, and there were differences in its concentration depending on the work type and whether or not workers wore protective gear. The results of carrying out a multiple regression analysis showed that phenol concentration in air, work hours, frequency of skin exposure, and smoking were statistically significant. In other words, the urinal phenol concentration increased more for smokers than for non-smokers, when work hours became longer, and when the frequency of skin exposure was over five times.
Conclusions : The factors that influenced urinary phenol in workers exposed to phenol were phenol concentration in air, work hour, frequency of skin exposure, smoking, work and lifestyle habits. Accordingly, biological monitoring for phenol exposure assessment must reflect these factors, and effort must be made to reduce skin exposure at workplace.