Particulate matter is known to have adverse effects on health, making it crucial to accurately gauge its concentration levels. While the recent advent of low-cost air sensors has enabled real-time measurement of particulate matter, discrepancies in concentrations can arise depending on the sensor used, the measuring environment, and the manufacturer. In light of this, we aimed to propose a method to calibrate measurements between low-cost air sensor devices. In our study, we introduced decision tree techniques, commonly used in machine learning for classification and regression problems, to categorize particulate matter concentration intervals. For each interval, both univariate and multivariate multiple linear regression analyses were conducted to derive calibration equations. The concentrations of PM10 and PM2.5 measured indoors and outdoors with two types of LCS equipment and the GRIMM 11-A device were compared and analyzed, confirming the necessity for distinguishing between indoor and outdoor spaces and categorizing concentration intervals. Furthermore, the decision tree calibration method showed greater accuracy than traditional methods. On the other hand, during univariate regression analysis, the proportion exceeding a PM2.5/PM10 ratio of 1 was significantly high. However, using multivariate regression analysis, the exceedance rate decreased to 79.1% for IAQ-C7 and 89.3% for PMM-130, demonstrating that calibration through multivariate regression analysis considering both PM10 and PM2.5 is more effective. The results of this study are expected to contribute to the accurate calibration of particulate matter measurements and have showcased the potential for scientifically and rationally calibrating data using machine learning.

Quiet environment is essential for improving quality of living and rest. For example, noisy neighbors degrade quality of sleeping of residents. Due to emphasis on energy saving of buildings, more insulation and tighter sealing is applied for windows, doors, and walls of new buildings. As results, not only energy dissipation of new building is reduced, but also interior of new buildings have become significantly quieter. However, sound and heat insulation performance of existing buildings is relatively worse, when compared to that of recent buildings. As elapse of time, gap between bricks or concrete of building and sealing grows larger, worsening of sound and heat insulation performance of buildings is unavoidable. To provide quiet room for quality control of products or other purposes in noisy environment, indoor noise chamber is required in practice. In present work, sound transmission through indoor noise chamber is measured using different noise sources. For the worst case, noise source and sound transmission of door slam noise is shown.

The objective of this study is to support an environmental policy related to the improved control of indoor airborne fungi in Korea. We reviewed 15 articles published in Korea to analyse the trend of airborne fungi level in indoor environment of various public facilities. The maximum mean concentrations of total airborne fungi in hospital and kindergarten were 1447 CFU/m3 and 1259 CFU/m3, respectively. We concluded that policy determination are urgently required to guide a proper management on airborne fungi in Korea.

This case study carried out to improve the situation of large gap between scientific evidence and public perception on Extremely Low Frequency-Electric and Magnetic Fields (ELF-EMFs) problems in Korea. According to literature review on techniques and applications for EMF risk communication (RC) in Korea and other countries, the program which is appropriate for Korean society for RC was developed and the questionnaire to survey on perceptional level on ELF-EMFs based on this program was also developed. As some results of survey the perceptional levels on ELF-EMFs problems from some primary-school students and adults according to the educational tools (a presentation, a brochure, and a VOD) and protocols which were developed for RC, we identified in this study that the educational programs for RC have some effects to supply the right information and to improve the perceptional level on ELF-EMF problems to the general population such as the primary-school students and adults in Korea.

This study was performed to investigate the exposure levels of magnetic field (MF) in residences near electrical transformer rooms in apartment buildings in Korea. We determined that the location of transformer rooms in apartment buildings in Korea is not same as in other countries. In particular, in Korea, the transformer on the pole near buildings serves residential buildings of less than 5 floors. In the buildings taller than 5 floors transformers are often placed below the parking lots in the basement. We estimated that there were, however, about 85,000 with transformer room adjacent to an apartment and had identified about 1,600 apartment buildings with transformers that can be included in the TransExpos study. The mean value of measured MFs was 1.17 mG in apartments above transformer room and 0.97 mG in other floors from transformer room. This study was concluded that apartments in building with transformer room can be classified into high-exposure category based on their location in relation to transformer room.

The purpose of this study were to investigate the state of indoor environmental factors and energy consumption during winter in residential houses and to analyze factors which influenced this environment. Energy consumptions and indoor environmental factors of this survey were conducted in 21 houses(apartment, 11 and detached houses,10) between December, 2010 and February, 2011 which measured energy consumptions and indoor environmental factors as well as kept records of interviews with residents and other related factors. The results obtained were as follows. Indoor environmental factors which were found to influence apartment houses higher than detached houses. The average gas consumption of detached houses(90.98³) was higher than that of apartment houses(76.33³). Gas consumption showed positive correlations to temperature and carbon dioxide in the residential houses. The mean concentration of PM₁₀, and CO₂ in large family were higher than those of small family. We found that the more gas consumption, the higher concentration of PM₁₀, CO₂ and temperature(p<0.01).

The summer algal flora and community of 9 islands in Dadohae National Park, southwestern coast of Korea, were investigated from June to September 2008. A total of 81 species (13 green, 22 brown and 46 red algae) of marine algae were identified. Among 9 is

In this paper, exposure levels of electromagnetic field were measured in residential environments and from appliances. First, the measurements of residential environments were taken in central locations in bedroom, living room, and kitchen in each home. Both arithmetic and geometric mean of normal-power condition are higher than low-power condition (all electrical devices turned off/unplugged), and the background fields in homes show a geometric mean of about 0.022 uT. Second, we measured broadband magnetic fields of domestic appliances at various distances. The highest magnetic field is 44.3 uT from the microwave oven, and the lowest is 1.4 uT from the Kimchi Refrigerator. The magnitude of magnetic fields from appliances dropped off at a rate inversely proportional to distance, but the ratio of drop-off on Korean appliances is lower than US and UK

The present study investigated the hypothesis that a extremely low frequency magnetic field (ELF-MF) partially suppresses the synthesis of human growth hormone (HGH) in a group of 28 primary schoolchildren living nearby and 60 primary schoolchildren aged 12 years living far away from overhead transmission power lines from December 2003 to April 2004 in Seoul, Korea. The mean personal exposure levels of the primary schoolchildren living nearby overhead transmission power line were 0.37 μT, whereas the levels for the primary schoolchildren living away from overhead transmission power line was 0.05 μT. From simple analyses, the mean growth hormone levels in the primary schoolchildren living nearby were lower than away from overhead transmission power line, and statistically significant differences in the levels of the growth hormone (p = 0.0316), whereas not statistically significant differences in the levels of the growth hormone related to the distance from residence to power line less and more than 100 m by cut-off point (p = 0.4017). In conclusion, these results may indicate that urinary levels of nocturnal growth hormone are altered in primary schoolchildren exposed to extremely low frequency magnetic field at overhead transmission power line.

Electromagnetic fields of all frequencies represent one of the most common and fastest growing environmental influences, about which anxiety and speculation are spreading. All populations are now exposed to varying degrees of electromagnetic field, and the levels will continue to increase as technology advances. The objectives of this study were to measure and analyze emitting characteristics of extremely low frequency electromagnetic field at micro-environments. We measured magnetic field at microenvironments such as home, school, educational institute, internet pc game room for children attending the primary school. The range of time weighted average (TWA) of 60 Hz EMF in micro-environment were 0.26∼ 7.62 mG and the highest TWA 7.62 mG was measured in PC room possessed more than 50 computers. We will measure personal exposure levels of primary students and analyze correlation between major micro-environments and personal exposure level.

There is also a reverse cavity in the back of the domestic subway and railways and roads, which cause a rift in tunnel structures due to stress concentration and strain. As a result, the balsaeng of the tunnel on the back of the tunnel was interpreted as a method to determine the method of a structural structure which greatly affects the stability of the tunnel structure.

There is also a reverse cavity in the back of the domestic subway and railways and roads, which cause a rift in tunnel structures due to stress concentration and strain. As a result, the balsaeng of the tunnel on the back of the tunnel was interpreted as a method to determine the method of a structural structure which greatly affects the stability of the tunnel structure.

The assessment of personal exposure is a critical component in population-based epidemiologic studies of air pollution. This study was conducted to apply and compare the four exposure estimation methods of individual-level to air pollution concentration in a cohort including 2,283 subjects in Gwangyang, Korea. Individual-level exposure of air pollution were estimated using multiple approaches, including average across all monitors, nearest monitor, and spatial interpolation by inverse distance weighting and kriging. The mean concentrations of PM10, NO2, SO2, CO, O3 by four exposure estimation methods were slightly different but not significantly different from each other. Cross-validation showed that kriging was more accurate than other exposure estimation methods because kriging has probably predicted individual exposure levels equivalent to residential locations after estimating the parameters of a model according to the spatial surface of air pollution concentration. These data support that spatial interpolation methods may provide better estimates than selecting the value from the nearest monitor and averaging across values from all monitors by reflecting spatial attributes of air pollution on personal level.

This study empirically analyzes the economic validity of rape farmers. The analysis of economic evaluation is based on the benefit-cost analysis. Previous studies have undoubtedly expanded our understanding of the importance of substitution effects on a rapeseed for bio-fuels. However, earlier studies have mostly dealt with the concept of biodiesel"s economics analysis, but this paper"s attentions have been paid to the economic analysis of farm. The aim of this paper is suggesting the most appropriate policy brings about why farmhouses should cultivate the rape. To answer this question, this paper adopts a scenario analysis and the B/C ratio is used.

This study conducts a survey and test to understand U.S. public’s perception about multifunctionality. The questionnaire suggests seven alternative way of providing questions about intangible benefits provided by agriculture in the U.S. The final questionnaire was administered as an e-mail survey in June 2008 to a nationally representative household panel maintained in the U.S. by the Ipsos Observer. Data analysis shows that 64 percent of respondents considered the multifunctionality of agriculiture as an important issue and 45 percent of respondents were in favor of increasing government expenditure to support farmland preservation. Using Fishbein’s multi-attribute model as a theoretical background, this paper develops an empirical model to assess and attributes of multifunctionality. For the analysis, bivariate orderd probit model was set up to reflect respondent’s attitude. Regression analyses show that two questions (how much you agree with agriculture’s intangible benefit and increasing government expenditure to support agriculture) are shaped by different sets of facts.