• Journal of the Korean Society of Urban Environment
• /
• v.18 no.4
• /
• pp.485-494
• /
• 2018

This study aims to identify the characteristics of oxidation and chemical composition of PM in winter season, 2017 at Incheon area. The mean concentration of air pollutants were $46{\pm}22{\mu}g/m^3-PM_{10}$, $29{\pm}18{\mu}g/m^3/-PM_{2.5}$, $5{\pm}3ppb-SO_2$, $0.56{\pm}0.24ppm-CO$, $21{\pm}13ppb-O_3$ and $28{\pm}17ppb-NO_2$, respectively. The dominant ion of the $PM_{1.0}$ chemical component were organic with $3.2{\mu}g/m^3$ and nitrate with $1.9{\mu}g/m^3$. The day and night variation of the $PM_{1.0}$ chemical components was higher in nighttime than those of daytime. The averaged nitrate oxidation rate (SOR) was 0.06 and sulfate oxidation rate was 0.11 during the field campaign. In the high mass loading period, nitrate oxidation rate (NOR) was up to 0.6 and also the nitrate in $PM_{1.0}$ was increased. The averaged ratio of $NO_x/SO_2$ was 8.7 and nitrate/sulfate was 3.1, respectively. In this results, the nitrate component in $PM_{1.0}$ was influenced by NOx from the stationary source as power plant and the mobile source around the measurement site.

• Journal of the Korean earth science society
• /
• v.45 no.1
• /
• pp.1-18
• /
• 2024

This study analyzed the effect of warming on PM_2.5 aerosol production in mid-latitude East Asia during June 2020 using PM_2.5 aerosol anomalies, which were identified by incorporating meteorological and climate data into the Weather Research Forecasting model coupled with Chemistry (WRF-Chem) model. The decadal temperature change trend over a 30-year period (1991-2020) in East Asia showed that recent warming has been greater in summer than in winter. Summer warming in East Asia generated low and high pressure in the lower and upper troposphere, respectively, over China. The boundary between the lower tropospheric low and upper tropospheric high pressure sloped along the terrain from the Tibetan Plateau to Korea. The eastern China, Yellow Sea, and Korean regions experienced a convergence of warm and humid southwesterly airflows originating from the East China Sea with the development of a northwesterly Pacific high pressure. In June 2020, the highest temperatures were observed since 1973 in Korea. Meanwhile, enhanced warming in East Asia increased the production of PM_2.5 aerosols that travelled long distances from eastern China to Korea. PM_2.5 anomalies, which were derived solely by inputting meteorological and climatic data (1991-2020) into the WRF-Chem model and excluding emission variations, showed a positive distribution extending from eastern China to South Korea across the Yellow Sea as well as over the Pacific Northwest. Thus, the contribution of warming to PM_2.5 aerosols in East Asia during June 2020 was more than 50%. In particular, PM_2.5 aerosols were transported from eastern China to Korea through the Yellow Sea, where the warm and humid southwesterly airflows implied wet scavenging of sulfate but promoted nitrate production.

• Tuberculosis and Respiratory Diseases
• /
• v.64 no.6
• /
• pp.433-438
• /
• 2008

Background: Measurement of the maximum oxygen uptake in patients with chronic obstructive pulmonary disease (COPD) has been used to determine the intensity of exercise and to estimate the patient's response to treatment during pulmonary rehabilitation. However, cardiopulmonary exercise testing is not widely available in Korea. The 6-minute walk test (6MWT) is a simple method of measuring the exercise capacity of a patient. It also provides high reliability data and it reflects the fluctuation in one' s exercise capacity relatively well with using the standardized protocol. The prime objective of the present study is to develop a regression equation for estimating the peak oxygen uptake ($VO_2$) for men with moderate to very severe COPD from the results of a 6MWT. Methods: A total of 33 male patients with moderate to very severe COPD agreed to participate in this study. Pulmonary function testing, cardiopulmonary exercise testing and a 6MWT were performed on their first visits. The index of work ($6M_{work}$, 6-minute walk distance [6MWD]${\times}$body weight) was calculated for each patient. Those variables that were closely related to the peak $VO_2$ were identified through correlation analysis. With including such variables, the equation to predict the peak $VO_2$ was generated by the multiple linear regression method. Results: The peak $VO_2$ averaged $1,015{\pm}392ml/min$, and the mean 6MWD was $516{\pm}195$ meters. The $6M_{work}$ (r=.597) was better correlated to the peak $VO_2$ than the 6MWD (r=.415). The other variables highly correlated with the peak $VO_2$ were the $FEV_1$ (r=.742), DLco (r=.734) and FVC (r=.679). The derived prediction equation was $VO_2$ (ml/min)=($274.306{\times}FEV_1$)+($36.242{\times}DLco$)+($0.007{\times}6M_{work}$)-84.867. Conclusion: Under the circumstances when measurement of the peak $VO_2$ is not possible, we consider the 6MWT to be a simple alternative to measuring the peak $VO_2$. Of course, it is necessary to perform a trial on much larger scale to validate our prediction equation.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.46 no.10
• /
• pp.1234-1242
• /
• 2017

The purpose of this study was to investigate BMI, dietary behavior, and nutrient intake status according to frequency of breakfast intake in female college students (n=253) in Chuncheon area. This study was conducted by employing a self-administered questionnaire. Dietary assessment was measured by the 24-h recall method. The subjects were divided into two groups by frequency of breakfast: Five to seven times per week (eating breakfast group, n=139) and none to four times per week (skipping breakfast group, n=114). The living with parents group showed significant high frequency of breakfast intake, whereas the self-boarding group showed significant low frequency of breakfast intake. The body image satisfaction score of the 5~7 times/week group was higher than that of the 0~4 times/week group. The average height and weight of the 5~7 times/week group were $161.0{\pm}0.1cm$ and $52.6{\pm}7.6kg$, respectively, whereas those of the 0~4 times/week group were $160.7{\pm}0.1cm$ and $57.1{\pm}11.8kg$, respectively. The average body mass index (BMI) values of the 5~7 times/week and 0~4 times/week groups were $19.8{\pm}1.9kg/m^2$ and $21.5{\pm}3.4kg/m^2$, respectively. The dietary behavior score of the 5~7 times/week group was higher than that of the 0~4 times/week group. The daily averages for energy, carbohydrate, and protein intakes in the 5~7 times/week group were significantly higher than those of the 0~4 times/week group. Intakes of vitamin A, vitamin $B_1$, vitamin $B_2$, niacin, vitamin $B_6$, P, Zn, and cholesterol in the 5~7 times/week group were significantly higher than those of the 0~4 times/week group. Multiple regression analysis revealed that resident type was the most significant variable associated with breakfast intake frequency. Therefore, strengthening dietary education programs that largely focus on resident type will greatly contribute to prevent skipping breakfast.