• Journal of Environmental Science International
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• v.25 no.5
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• pp.715-726
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• 2016

This study investigates the characteristics of metallic and ionic elements concentration, concentration according to transport path, and factor analysis in $PM_{10}$ at Guducsan in Busan in the springtime of 2015. $PM_{10}$ concentration in Guducsan and Gwaebeopdong were $59.5{\pm}9.04{\mu}g/m^3$ and $87.5{\pm}20.2{\mu}g/m^3$, respectively. Contribution rate of water-soluble ions and secondary ion in $PM_{10}$ concentration in Guducsan were 37.0% and 27.8% respectively. [$NO_3{^-}/SO{_4}^{2-}$] ratio and contribution rate of sea salt of $PM_{10}$ in Guducsan and Gwaebeopdong were 0.91 and 1.12, 7.0% and 5.3%, respectively. The results of the backward trajectory analysis indicates that $PM_{10}$ concentration, total inorganic water-soluble ions and total secondary ions were high when the air parcels moved from Sandong region in China than non-Sandong and northen China to Busan area. The results of the factor analysis at Guducsan indicates that factor 1 was anthropogenic source effects such as automobile emissions and industrial combustion processes, factor 2 was marine sources such as sea salts from sea, and factor 3 was soil component sources.

• Journal of the Korean Society of Visualization
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• v.20 no.1
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• pp.45-51
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• 2022

Airborne particulate matter(PM) has been a global environmental problem. PM whose diameter is smaller than 10 ㎛ can permeate respiratory organs and has harmful effects on human health. Therefore, PM monitoring systems are necessary for management of PM and prevention of PM-induced negative effects. Conventional PM monitoring techniques are expensive and cumbersome to handle. In the present study, two types of PM monitoring devices were designed for measuring indoor PM concentration, portably. We experimentally investigated the performance of three commercial PM concentration measurement sensors in a closed test chamber. As a result, PM2008 sensor showed the best PM concentration measurement accuracy. Linear regression method was applied to convert PM concentration value acquired from PM2008 sensor into ground truth value. A mobile application(app.) was also created for users to check the PM concentration, easily. The mobile app. also provides safety alarm when the PM₁₀ concentration exceeds 81 ㎛/m³. The developed hand-held system enables the facile monitoring of surrounding air quality.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.1
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• pp.61-69
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• 2014

In this study spatial analysis of PM10 was performed to Particulate Materials(PM) less than $10{\mu}m$ in diameter in Seoul city. Because PM10 are responsible for the increasing mortality rate of lung cancer and cardiovascular diseases, spatial distribution of PM10 are special interest in air pollution of Seoul. In this study, spatial analysis of Particulate Materials were monitored by monthly averaged PM10 concentration of 2010, 2011. The monthly spatial patterns of PM10 showed the west area of Seoul(Youngdungpo) higher PM10 concentration than northern part of Seoul in early spring and winter seasons. In the comparison of PM10 concentration distribution patterns in 2010 and 2011, the PM10 concentration of 2011 at Gangnam and Songpa-gu were more increased than yearly averaged patterns of 2010. The distribution patterns of PM10 in Seoul city showed the high concentration PM10 of several areas with Youngdungpo-gu, Gangnam-gu and Cheongnyangni. Therefore we need to establish PM10 management strategy for these area.

• Journal of environmental and Sanitary engineering
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• v.24 no.1
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• pp.47-55
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• 2009

Indoor air Quality in public facility same as bus terminal and subway station is very important for civil health. The purpose of this study was to investigate the concentration and distribution of PM10 and falling microorganism at the 5 subway stations and bus terminals from Summer 2003 to Summer 2005 in Kyunggi Province. The results were as follows. 1. The highest concentration of PM10 was $187ug/m^3$ at Bucheon Bus Terminal in 2005 while the lowest concentration of PM10 was $78ug/m^3$ at Suwon Bus Terminal in 2003. The year variation of PM10 concentration at the bus terminals in Kyunggi Province was in order of 2005 > 2004 > 2003. The average concentration of PM10 at the five Bus Terminal was $127ug/m^3$. 2. The highest concentration of PM10 was $225ug/m^3$ at Euijungbu Station l in 2004 while the lowest concentration of PM10 was $115ug/m^3$ at Suwon Station in 2003. The year variation of PM10 at the subway stations in Kyunggi Province was in order of 2004 > 2005 > 2003. The average concentration of PM10 at the five subway stations was $164ug/m^3$. 3. The average amount of falling microoganism at the five bus terminal in Kyunggi Provinc was 201CFU/plate. The minimum is 124 CFU/plate at Seongnam Bus Terminal in 2004 while the maximum is 268CFU/plate at Euijungbu Bus Terminal in summer 2005. The higher concentration of PM10 was 206CFU/plate in 2004 than 199CFU/plate in 2003 and 2005. 4. The minimum is 107CFU/plate at Anyang station in 2003 while the maximum was 263CFU/plate at Euijungbu station in 2003. The average amount of falling microoganism at the five subway stations in Kyunggi Province was 179 CFU/plate. The year variation of falling microorganism at the subway stations in Kyunggi Province was in order of 2004 > 2005 > 2003.

• Particle and aerosol research
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• v.15 no.2
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• pp.45-56
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• 2019

The public's concern on ambient $PM_{2.5}$ has been increasing in Korea. We have estimated (1) the annual and monthly mean $PM_{2.5}$ concentrations, (2) the frequency by the $PM_{2.5}$ concentration interval, and (3) the high concentration occurrence duration time between 2015 and 2018 at 16 administration regions. We found that there have been differences in all three above parameters' trends among the studied 16 regions in Korea. Still, Jeonbuk showed the highest rank in all three parameters' trends. In Jeonbuk, the average $PM_{2.5}$ concentration and the sum of the frequency fraction when the $PM_{2.5}$ concentration being over $75{\mu}g/m^3$ between 2016 and 2018 was $28.4{\mu}g/m^3$ and 9.0%, respectively. And the days when the $PM_{2.5}$ concentration is over $50{\mu}g/m^3$ between 2015 and 2018 were 149. Chungbuk was the only region with the increasing trend of $PM_{2.5}$ concentration between 2016 and 2018. And in Seoul and Gyeonggi, the average $PM_{2.5}$ concentrations decreased whereas the high concentration frequency fraction increased between 2016 and 2018. Also, it is found that there have been differences in the trends of the frequency by the $PM_{2.5}$ concentration interval and the high concentration occurrence duration time between $PM_{10}$ and $PM_{2.5}$.

• Journal of Environmental Science International
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• v.27 no.7
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• pp.577-586
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• 2018

This research investigated the characteristics of $PM_{10}$ and $PM_{2.5}$ concentration at roadside (Choryangdong) and residential (Sujeongdong) locations in Busan. The $PM_{10}$ concentration at roadside and residential locations were 50.5 and $42.9{\mu}g/m^3$, respectively, and $PM_{2.5}$ at roadside and residential were 28.1 and $23.9{\mu}g/m^3$, respectively. The roadside/residential ratio of $PM_{10}$ and $PM_{2.5}$ concentration were 1.18, and the $PM_{2.5}/PM_{10}$ ratio at roadside and residential were 0.55 and 0.56, respectively. The $PM_{10}$ concentration in spring at roadside were $64.6{\mu}g/m^3$, and were the highest, followed by $48.0{\mu}g/m^3$ and $45.2{\mu}g/m^3$ in winter and summer. Number of exceedances per year of the daily limit value for $PM_{10}$ at roadside and residential were 66 and 39 days, respectively. The $PM_{10}$ and $PM_{2.5}$ concentration, and $PM_{2.5}/PM_{10}$ ratio at roadside were $53.0{\mu}g/m^3$, $29.0{\mu}g/m^3$ and 0.55 for day, and $45.5{\mu}g/m^3$, $26.7{\mu}g/m^3$ and 0.59 for night, respectively. These results indicate that understanding the relationship between roadside and residential could provide insight into establishing a strategy to control urban air quality.

• Journal of Wetlands Research
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• v.11 no.2
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• pp.47-54
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• 2009

This study was conducted to consider the characteristics of PM10(particulate matter with aerodynamic diameters less than 10 ${\mu}m$) concentration according to land-use in Busan coastal area. Fine particle is affected by emissions, geographical conditions and meteorological factors. In case industrial area, Gamjeondong(inland) PM10 concentration was higher than Noksandong(seashore) at all season except for Summer. Primary peak at Gamjeondong cleared than Noksandong in Fall and Winter. In case green area, Daejeodong(inland) PM10 concentration was higher than Dongsamdong(seashore) at all seasons. In case commercial area, primary peak occurrence time at Jeonpodong lagged one hour according to season and diurnal change of PM10 concentration at Gwangbokdong was higher than Jeonpodong in Spring. In case residential area, high PM10 concentration(80~90 ${\mu}g/m^3$) lasted for six hours during the daytime in Spring at Deogcheondong and Yongsuri(inland).

• Journal of Environmental Science International
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• v.28 no.7
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• pp.581-594
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• 2019

This research investigated the characteristics of $PM_{10}$ and $PM_{2.5}$ concentrations at the main subway stations in Busan. Annual mean $PM_{10}$ concentrations at the Seomyeon 1- waiting room and platform were $51.3{\mu}g/m^3$ and $47.5{\mu}g/m^3$, respectively, and the annual $PM_{2.5}$ concentration at the Seomyeon 1- platform was $28.8{\mu}g/m^3$. $PM_{2.5}$/$PM_{10}$ ratio at Seomyeon 1-platform and Dongnae station were 0.58 and 0.53, respectively. Diurnal variation of $PM_{10}$ concentration at subway stations in Busan was categorized into four types, depending on the number of peaks and the times at which the peaks occurred. Unlike the areas outside of the subway stations which reported maximum $PM_{10}$ concentration mostly in spring across the entire locations, the interiors of the subway stations reported the maximum $PM_{10}$ concentration in spring, winter, and even summer, depending on their location. $PM_{10}$ concentration was highest on Saturday and lowest on Sunday. The numbers of days when $PM_{10}$ concentration exceeded $100{\mu}g/m^3$ and $80{\mu}g/m^3$ per day over the last three years at the subway stations in Busan were 36 and 239, respectively. The findings of this research are expected to enhace the understanding of the fine particle characteristics at subway stations in Busan and be useful for developing a strategy for controlling urban indoor air quality.

• Journal of Environmental Health Sciences
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• v.20 no.1
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• pp.75-82
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• 1994

Bioconcentration Factor (BCF) is known as important criteria for ecotoxicology on hazardous chemicals. But there is no standard method for determining BCF and reported BCFs were slightly different in accordance with authors. This study was performed with aims to determine BCFs on BPMC and Carbaryl. Carassius auratus(goldfish) be chosen as test organism and test period were 3-day, 5-day and 10-day. Extract solvents were n-hexane and acetonitrile. GC-ECD was used to detecting carbamates. The obtained results were as follows: 1. It was possible to determine short term BCF$_s$ of Carbaryl or BPMC through relatively simple procedure. 2. BCF$_3$ of Carbaryl in concentration of 1, 2, 5, 10 ppm were 0.34 $\pm$ 0.06, 0.18 $\pm$ 0.02, 0.10 $\pm$ 0.01, 0.06 $\pm$ 0.01 respectively. BCF$_5$ of Carbaryl were 0.34 $\pm$ 0.05, 0.18 $\pm$ 0.02, 0.13 $\pm$ 0.01 and 0.07 $\pm$ 0.01, BCF$_{10}3$ of Carbaryl were 0.45 $\pm$ 0.05, 0.27 $\pm$ 0.02, 0.16 $\pm$ 0.02 and 0.09 $\pm$ 0.01. BCF$_3$ of BPMC in concentration of 1, 2, 5 ppm were 4.66 $\pm$ 0.17, 2.64 $\pm$ 0.49, 1.88 $\pm$ 0.24 respectively. BCF$_5$ of BPMC were 4.09 $\pm$ 0.50, 2.42 $\pm$ 0.37 and 1.83 $\pm$ 0.15. 3. BCF$_s$ of BPMC were decreased as increasing concentration. However, BPMC concentration in fish were increased in contrast to BCF. But more concentrated BPMC was found in fish 3-day test than found concentration in fish 5-day test. 4. Same trend appeared in Carbaryl. BCF$_s$ of Carbaryl were decreased as increasing concentration and prolonging test period. But found Carbaryl concentration in fish were increased. 5. BCF$_s$ of BPMC were higher than that of Carbaryl by 10 times, in spite of the physicochemical properties of the two carbamates were similar to each other. Further study is recommended to find out the reason of the difference.

• Journal of Environmental Science International
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• v.23 no.4
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• pp.673-679
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• 2014

This study aims to investigate the indoor air quality by analyzing $PM_{10}$ concentration and metallic elements collected from high school(classroom, science room, assembly room). $PM_{10}$ concentration of a classroom, a science room, and an assembly hall during the research period was 87.7 ${\mu}g/m^3$, $75.3{\mu}g/m^3$, $64.6{\mu}g/m^3$, respectively. Si of $PM_{10}$ had highest concentration with 15,427 $ng/m^3$ followed by Na which had 7,205 $ng/m^3$, and the order was Si>Na>Ca>Mg>Fe>K in the classroom. $PM_{10}$ concentration of a classroom and a science room was each 104.8 ${\mu}g/m^3$ and 75.3 ${\mu}g/m^3$ during the semester and $PM_{10}$ concentration of a classroom and an assembly hall was each 80.9 ${\mu}g/m^3$ and 64.6 ${\mu}g/m^3$ during the summer vacation. Based on $PM_{10}$ and metallic concentration at a classroom on day of week, the concentration of Friday was highest with 112.0 ${\mu}g/m^3$, and that of Monday was lowest with 65.3 ${\mu}g/m^3$.