• Korean Journal of Remote Sensing
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• v.36 no.6_3
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• pp.1733-1741
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• 2020

This study analyzed the effect of meteorological factors on the concentration of PM10 (particulate matter 10) in the atmosphere and the variation of rainwater quality using multivariate statistical analysis. The concentration of PM10 in the atmosphere was continuously measured during eleven precipitation events with a custom-built PM sensor node. A total of 183 rainwater samples were analyzed for pH, EC (electrical conductivity), and water-soluble cations (Na+, Mg2+, K+, Ca2+, NH4+) and anions (Cl-, NO3-, SO42-). The data has been analyzed using two multivariate statistical techniques (principal component analysis, PCA, and Pearson correlation analysis) to identify relationships among PM10 concentrations in the atmosphere, meteorological factors, and rainwater quality factors. When the rainfall intensity was relatively strong (> 5 mm/h, rainfall type 1), the PM10 concentration in the atmosphere showed a negative correlation (r = -0.55, p < 0.05) with cumulative rainfall. The PM10 concentration increased the concentration of water-soluble ions (r = 0.25) and EC (r = 0.4), and decreased the pH (r = -0.7) of rainwater samples. However, for rainfall type 2 (< 5 mm/h), there was no negative correlation between the PM10 concentration in the atmosphere and cumulative rainfall and no statistically significant correlation between the PM10 concentration in the atmosphere and rainwater quality.

• Journal of Korean Society for Atmospheric Environment
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• v.31 no.2
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• pp.157-163
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• 2015

To establish National Reference Method (NRM) for $PM_{2.5}$, operational performance of 5 different commercial gravimetric-based $PM_{2.5}$ measuring instruments was assessed at Bulkwang monitoring station from January 23, 2014 to February 28, 2014. First, physical properties, design, and functional performance of the instruments were assessed. Evaluation was carried out to determine whether operating method for the instruments and levels of QA/QC activities meet the data quality objectives (DQOs). To verify whether DQOs were satisfied, reproducibility of QA/QC procedures, accuracy, relative sensitivity, limit of detection, margin of error, and coefficient of determination of the instruments were also evaluated. Results of flow rate measurement of 15 candidate instruments indicated that all the instruments met performance criteria with accuracy deviation of 4.0% and reproducibility of 0.6%. Comparison of final $PM_{2.5}$ mass concentrations showed that the coefficient of determination ($R^2$) values were greater than or equal to 0.9995, and concentration gradient ranged from 0.97 to 1.03. All the instruments satisfied criteria for NRM with the estimated precision of 1.47~2.60%, accuracy of -1.90~3.00%, and absolute accuracy of 1.02~3.12%. This study found that one particular type of measuring instrument was proved to be excellent, with overall evaluation criteria satisfied.

• Journal of Korean society of Dental Hygiene
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• v.15 no.2
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• pp.333-342
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• 2015

Objectives: The $1.8{\pm}1.5$purpose of the study was to investigate the oral health related quality of life according to work factors of firefighters in Korea. Methods: A self-reported questionnaire was completed by 270 firefighters in Changwon, Gimhae, and Ulsan from June 27 to July 24, 2011 after receiving informed consent. The questionnaire consisted of 5 questions of general characteristics of the subjects, 6 questions of job-related characteristics, and 14 questions of oral health related quality of life(OHIP-14). Data analysis was performed with reliability test, descriptive analysis, t-test, analysis of variance(ANOVA) and multiple regression analysis using SAS(version 9.2) program. Results: The score of oral health related quality of life in firefighters was $10.1{\pm}8.0$. The scores of subscale of the oral health quality of life were $2.4{\pm}1.5$ in physical pain, $1.8{\pm}1.5$ in psychological discomfort, $1.5{\pm}1.5$ in physical disability, $1.4{\pm}1.5$ in functional limitation, $1.3{\pm}1.4$ psychological disability, $0.9{\pm}1.3$ in handicap, and $0.7{\pm}1.3$ in social disability. The related factors of oral health quality of life in firefighters were rank(p=0.016) and the frequency of daily mobilization(p=0.029). Conclusions: Oral health related quality of life in firefighters was relatively in good condition. For the better oral health related quality of life in firefighters, it is important to establish the continuing oral health promotion program for those who have irregular job characteristics and job intensity.

• Journal of Environmental Impact Assessment
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• v.27 no.5
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• pp.509-520
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• 2018

The impact of meteorological condition on surface $PM_{10}$ concentrations in South Korea was quantitatively simulated from 2010 to 2014 using WRF (ver.3.8.1) and CMAQ (5.0.2) model. The result showed that seasonal standard deviations of PM10 induced by change of weather conditions were $4.8{\mu}g/m^3$, $1.7{\mu}g/m^3$, $1.7{\mu}g/m^3$, $4.2{\mu}g/m^3$ for spring, summer, autumn and winter compared to 2010, respectively, with the annual mean standard deviation of about $2.6{\mu}g/m^3$. The results of 18 regions in South Korea showed standard deviation of more than $1{\mu}g/m^3$ in all regions and more than $2{\mu}g/m^3$ in Seoul, Northern Gyeonggi, Southern Southern Gyeonggi, Western Gangwon and Northern Chungcheong in South Korea.

• Atmosphere
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• v.26 no.4
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• pp.541-551
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• 2016

A real-time quality control algorithm for $PM_{10}$ concentration measured by Continuous Ambient Particulate Monitor (FH62C14, Thermo Fisher Scientific Inc.) has been developed. The quality control algorithm for $PM_{10}$ data consists of five main procedures. The first step is valid value check. The values should be within the acceptable range limit. Upper ($5,000{\mu}g\;m^{-3}$) and lower ($0{\mu}g\;m^{-3}$) values of instrument detectable limit have to be eliminated as being unrealistic. The second step is valid error check. Whenever unusual condition occurs, the instrument will save error code. Value having an error code is eliminated. The third step is persistence check. This step checks on a minimum required variability of data during a certain period. If the $PM_{10}$ data do not vary over the past 60 minutes by more than the specific limit ($0{\mu}g\;m^{-3}$) then the current 5-minute value fails the check. The fourth step is time continuity check, which is checked to eliminate gross outlier. The last step is spike check. The spikes in the time series are checked. The outlier detection is based on the double-difference time series, using the median. Flags indicating normal and abnormal are added to the raw data after quality control procedure. The quality control algorithm is applied to $PM_{10}$ data for Asian dust and non-Asian dust case at Seoul site and dataset for the period 2013~2014 at 26 sites in Korea.

• Korean Journal of Medicinal Crop Science
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• v.16 no.3
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• pp.150-154
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• 2008

This study was investigated that quality inspection of distributed Scutellariae Radix in Korea. To evaluate the quality of these herbal medicines, we carried out TLC pattern, foreign matter in purity, loss on drying, ash, acid-insoluble ash, oil content, dilute ethanol-soluble, water-soluble, ether-soluble extracts contents, quantitative analyses, residual $SO_2$, individual heavy metals and organochlorine pesticides. To measure contents of baicalin, baicalein and wogonin, we were quantitative analyzed using HPLC. The average contents of baicalin, baicalein and wogonin were detected by 13.28 (${\pm}$0.43)%, 1.17 (${\pm}$0.04)% and 0.40 (${\pm}$0.02)%, respectively. Each average contents As, Cd, Hg and Pb was 0.059 (${\pm}$0.054) mg ${\cdot}$ $kg^{-1}$, 0.019 (${\pm}$0.010) mg ${\cdot}$ $kg^{-1}$, 0.017 (${\pm}$0.057) ppm and 0.242 (${\pm}$0.084) mg ${\cdot}$ $kg^{-1}$, respectively.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.748-757
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• 2019

The objective of the present study was to evaluate effects of probiotic mixture (PM) including Bacillus subtillus, Streptomyces galilaeus and Sphingobacteriaceae on egg production, egg quality, and eliminating odor in laying hens. A total of 240 Hy-Line Brown laying hens (50 wks of age) were divided into four treatment groups (60 replicates of birds, each) in completely randomized design. Groups were assigned to four experimental diets: CON (a basal diet of no PM additive as control), basal diet supplemented with either CP3 (0.3% commercial probiotics), PM3 (0.3% PM), or PM5 (0.5% PM 0.5). Data of egg production and egg quality were obtained during 6 weeks of experimental period. Egg production, Haugh unit, shell thickness, breaking strength, yolk color, and albumin high were significantly increased in CP3 and PM3 compared to those in CON and CP3. Ammonia levels and numbers of E. coli, total aerobic bacteria, Coliform, and Salmonella in feces were significantly increased in order of CON>CP3>PM3>PM5. The present study indicates that addition of 0.3% probiotic mixture including B. subtillus, S. galilaeus and Sphingobacteriaceae to diets may improve egg production, egg quality, and eliminate fecal ammonia of laying hens.

• Journal of the Korean Society of Urban Environment
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• v.18 no.4
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• pp.485-494
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• 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 Environmental Health Sciences
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• v.49 no.5
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• pp.275-288
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• 2023

Background: When basic local governments want to improve their air quality management policies, they need fundamental evidence, such as the effectiveness of current policies or scenario results. Objectives: The purpose of this study is to lay the groundwork for a process to calculate air pollutant reduction from basic local government air quality policies and provide numerical estimates of PM_2.5 concentrations following improved policies. Methods: We calculated the amount of air pollutant reduction that can be expected in the research region based on the Gyeonggi-do Air Environment Management Implementation Plan issued in 2021 and guidelines from the Korean Ministry of Environment. The PM_2.5 concentration variations were numerically simulated using the CMAQ (photochemical air quality model). Results: The research regions selected were Suwon, Ansan, Yongin, Pyeongtaek, and Hwaseong in consideration of population, air pollutant emissions, and geographical requirements. The expected reduction ratios in 2024 compared to 2018 are CO (3.0%), NO_x (7.9%), VOCs (0.7%), SO_x (0.1%), PM₁₀ (2.4%), PM_2.5 (6.1%), NH₃ (0.05%). The reduced PM_2.5 concentration ratio was highest in July and lowest in April. The expected concentration reduction of yearly mean PM_2.5 in the research region is 0.12 ㎍/m³ (0.6%). Conclusions: Gyeonggi-do is now able to quickly provide air pollutant emission reduction calculations by respective policy scenario and PM_2.5 simulation results, including for secondary aerosol particles. In order to provide more generalized results to basic local governments, it is necessary to conduct additional research by expanding the analysis tools and periods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.248-256
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• 2017

This study was conducted to investigate the effects of life stress, depression, and smart-phone addiction on quality of life as well as to verify the variables related to quality of life and the factors contributing to quality of life among undergraduate students. The data were collected from 194 subjects at K university in G city using a self-administered questionnaire. T-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression were used to analyze the data. As a result, mean scores of life stress, depression, smart-phone addiction, and quality of life were $62{\pm}.33$, $24{\pm}.3$, $2.59{\pm}.63$, and $3.48{\pm}.54$, respectively. There was a negative correlation between life stress, depression, smart-phone addiction, and quality of life. The factors influencing quality of life were life stress, depression, and smart-phone addiction. Based on these findings, it is necessary to improve quality of life and multidisciplinary interventions in order to reduce life stress, depression, and smart-phone addiction in undergraduate students. These findings contribute to the development of a program to improve quality of life among undergraduate students.