• Journal of Environmental Health Sciences
• /
• v.43 no.6
• /
• pp.509-515
• /
• 2017

Objectives: The purpose of this study was to assess the indoor levels of $PM_{10}$, VOCs and aldehydes in nail shop and hair salon. Methods: The field survey was conducted for 52 hair salons 52 nail shops, and 26 shop-in-shops in Seoul and Daegu city. The field technicians investigated characteristics of each shop including operating time, indoor volume, ventilation and so on. Indoor concentrations of $PM_{10}$, VOCs and aldehydes, indoor temperature and humidity were measured in 12 hair salons, 12 nail shops and 6 shop-in shops. MP Surveryor II (Graywolf, USA) was used to measure $CO_2$ concentration, temperature and humidity for 8 hours. $PM_{10}$ concentrations were measured by minivolume air sampler with Teflon quartz filter ($0.2{\mu}m$ pore size, ${\varphi}$ 47 mm, Graseby-Anderson TEF-DISKTM) for 6 hours. VOCs passive sampler (OVM 3500) was used to collect VOCs for 8 hours and analyzed by GC/MSD. Results: The $CO_2$ concentrations were $759.4{\pm}58.2$ ppm in nail shops, $731.0{\pm}72.5$ ppm in hair salons, and $656.4{\pm}31.2$ ppm in shop-in-shops. The $PM_{10}$ concentrations were $27.5{\pm}14.2{\mu}g/m^3$ in nail shops, $33.1{\pm}6.3{\mu}g/m^3$ in hair salons, and $39.0{\pm}26.9{\mu}g/m^3$ in shop-in-shops. TVOCs concentrations were $3085.4{\pm}1667.8{\mu}g/m^3$ in nail shops, $2131.1{\pm}617.3{\mu}g/m^3$ in hair salons, and $1550.3{\pm}529.0{\mu}g/m^3$ in shop-in-shops. TVOCs concentrations in nail shops were significantly higher than those in hair salons and shop-in-shops (p=0.002). Formaldehyde concentrations were $60.8{\pm}36.6{\mu}g/m^3$ in nail shops, $89.1{\pm}55.4{\mu}g/m^3$ in hair salons, and $45.1{\pm}22.5{\mu}g/m^3$ in shop-in-shops. Conclusion: TVOCs concentrations in nail shop were the highest among others. TVOC concentrations in all stores exceeded indoor air quality stand of indoor air quality control in public-use facilities, etc act.

• Korean Journal of Animal Reproduction
• /
• v.23 no.2
• /
• pp.119-125
• /
• 1999

The concentration of serum proteins, lipoproteins, leukocytes and lymphocytes in bursectomy and thymectomy Ogol chickens were examined from 5 days to 150 days of age. Concentration of serum proteins and lipoproteins were measured by cellulose acetate electrophoresis. The results summarized as follows : 1. The gamma-globulin concentrations in growing Korean native chickens and Ogol chickens were increased 0.41$\pm$0.01~0.85$\pm$0.05 mg/㎗ and 0.50$\pm$0.01~0.98$\pm$0.08 mg/㎗ from 1 day after to 5 days of age and gradually decreased at 10 days of age, and thereafter increased 0.82$\pm$0.06 mg/㎗, 1.09$\pm$0.04 mg/㎗ at 100 days of age. 2. The serum apha-, beta-, gamma-lipoprotein concentrations of growing Ogol chickens were 74.1$\pm$6.8~240.2$\pm$9.7 mg/㎗, 89.7 5.7~225.8$\pm$11.3 mg/㎗ and 87.6$\pm$4.7-220.3$\pm$10 mg/㎗, respectively. The serum -lipoprotein concentrations from 5 days to 150 days of age Ogol chickens were significantly decreased. 3. The leukocyte and lymphocyte counts in bursectomy and thymectomy Ogol chickens slightly increased from 10 to 100 days of age. However the leukocyte and lymphocyte counts in thymectomy chickens were lower than in untreated chickens. 4. The Ig concentrations of 1 day to 50 days(0.30$\pm$0.03~0.58$\pm$0.04 g/㎗) in bursectomy chickens were similar to those found in untreated chickens and thereafer increased from 50 to 150 days of age(0.58$\pm$0.04~1.21$\pm$0.05 g/㎗). The Ig concentrations in thymectomy chickens increased significantly.

• Korean Journal of Remote Sensing
• /
• v.37 no.3
• /
• pp.657-664
• /
• 2021

In this study, we investigated the relationships between the air quality (PM_2.5, PM₁₀, O₃) concentrations and local geographical characteristics (terrain heights, building area ratios, population density in 9 km × 9 km gridded subareas) in the Seoul metropolitan area. To analyze the terrain heights and building area ratios, we used the geographic information system data provided by the NGII (National Geographic Information Institute). Also, we used the administrative districts and population provided by KOSIS (Korean Statistical Information Service) to estimate population densities. We analyzed the PM_2.5, PM₁₀, and O₃ concentrations measured at the 146 AQMSs (air quality monitoring system) within the Seoul metropolitan area. The analysis period is from January 2010 to December 2020, and the monthly concentrations were calculated by averaging the hourly concentrations. The terrain is high in the northern and eastern parts of Gyeonggi-do and low near the west coastline. The distributions of building area ratios and population densities were similar to each other. During the analysis period, the monthly PM_2.5 and PM₁₀ concentrations at 146 AQMSs were high from January to March. The O₃ concentrations were high from April to June. The population densities were negatively correlated with PM_2.5, PM₁₀, and O₃ concentrations (weakly with PM_2.5 and PM₁₀ but strongly with O₃). On the other hand, the AQMS heights showed no significant correlation with the pollutant concentrations, implying that further studies on the relationship between terrain heights and pollutant concentrations should be accompanied.

• Journal of Environmental Impact Assessment
• /
• v.28 no.6
• /
• pp.568-579
• /
• 2019

The present study aims to identify the effect of land cover categories on particulate matter (PM) concentrations by analyzing the correlation between monthly PM concentrations in Seoul's air quality monitoring network and the percentages of land cover categories by buffers around air quality monitoring stations. According to a monthly correlation analysis between land cover categories and PM concentrations, in the buffer 3km, PM₁₀ showed a better correlation than PM_2.5, there was a clear negative correlation with the forest area, the grassland and the urbanized area had some positive correlation with PM₁₀, and the barren land and the urbanized area had some positive correlation with PM_2.5. According to a monthly correlation analysis of dominant land cover sub-categories and sub-sub-categories within the buffer 3km, PM₁₀ showed a clear negative correlation with the broad-leaved forest, and some positive correlation with the road was dominant. PM_2.5 showed partly negative correlation with the broad-leaved forest and partly positive correlation with the commercial area. There was a very low or no correlation with other grassland and bare land subcategories. A monthly stepwise regression analysis on noticeable land cover sub-categories and sub-sub-categories with positive or negative correlations revealed that an increasing percentage of the broad-leaved forest had a clear effect on reducing PM₁₀ concentrations, and the road was excluded from the selected variables. Although an increasing percentage of the commercial area had some effect on increasing monthly PM_2.5 concentrations and an increasing percentage of the broad-leaved forest had an effect on decreasing the PM_2.5 concentrations, their effect size was smaller than that on PM₁₀. The forest area around the city center had the largest and clearest effect on reducing PM concentrations. The urbanized area's sub-categories and sub-sub-categories were also confirmed to have some effect on increasing PM concentrations.

• Particle and aerosol research
• /
• v.15 no.2
• /
• pp.45-56
• /
• 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 $PM_{2.5}$.

• Environmental Engineering Research
• /
• v.18 no.1
• /
• pp.3-8
• /
• 2013

Collision cell technology-inductively coupled plasma-mass spectrometry (CCT-ICP-MS) was used to measure the concentrations of approximately 19 elements associated with airborne PM2.5 samples that were collected from a roadside sampling station in Daejeon, Korea. Standard reference material (SRM 2783, air particulate on filter media) of the National Institute of Standards and Technology was used for the quality assurance of CCT-ICP-MS. The elemental concentrations were compared statistically with the certified (or recommended) values. The patterns of distribution were clearly distinguished between elements with their concentrations ranging over four orders of magnitude. If compared in terms of enrichment factors, it was found that toxic trace elements (e.g., Sb, Se, Cd, As, Zn, Pb, and Cu) of anthropogenic origin are much more enriched in PM2.5 samples of the study site. To the contrary, the results of the correlation analysis showed that PM2.5 concentrations can exhibit more enhanced correlations with the elements (e.g., Fe, K, Si, and Ti) arising from earth's crust. The findings of strong correlations between PM2.5 and the elements of crustal origin may be directly comparable with the dominant role of those species by constituting a major fraction of even PM2.5 as well as PM10 at the roadside area.

• Journal of Environmental Health Sciences
• /
• v.47 no.4
• /
• pp.339-355
• /
• 2021

Background: Particulate matter (PM₁₀, PM_2.5) and black carbon contribute to poor air quality in urban areas, and can also affect indoor environments. Exposure to PM can be associated with respiratory and lung diseases. Objectives: This study investigated the indoor and outdoor concentration distribution patterns of PM₁₀, PM_2.5, and black carbon at an apartment building, a typical residential space in the metropolitan areas of South Korea, by season, day of the week (weekday vs. weekend), and time of the day. It aims to obtain foundational data for the effective management of pollutants and investigate the difference in pollution levels between indoor and outdoor environments. Methods: Indoor and outdoor concentrations of PM and black carbon were measured at an apartment building located in Namyangju, Gyeonggi-do Province, using dust sensors and an Aethalometer AE51 (AethLabs, San Francisco, CA, USA) over the course of a year from June 2020 to May 2021. The concentration distribution patterns were analyzed by season and time of day. Results: PM₁₀ and PM_2.5 concentrations in the outdoor environment were higher than those in the indoor environment, regardless of the season. By contrast, the indoor black carbon concentration was higher than that in the outdoor environment during summer and autumn. The concentrations of PM₁₀, PM_2.5 and black carbon were found to be higher on weekdays than during weekends, especially during rush hour, with concentrations of 25.92~56.58 ㎍/m³, 21.12~44.82 ㎍/m³, 0.63~3.40 ㎍/m³. Conclusions: The outdoor concentrations of PM₁₀, PM_2.5, and black carbon were higher during the weekdays, especially during rush hour, than during weekends. This study is expected to provide basic data for the health management of apartment occupants because it is measured over a period of more than one year.

• Journal of Preventive Medicine and Public Health
• /
• v.18 no.1
• /
• pp.59-71
• /
• 1985

During a period from February 1st to November 30th in 1983, measurements were made twice a month on dustfalls and concentrations of various cations ana anions in their filtrates in an urban (Heuksuk-dong, Seoul) and in a rural (Ansung) districts. Standard British Deposit Gauge method was applied for collection of dustfalls and ion chromatographic method using Ion Chromatograph 10 (Dionex, U.S.A.) for determination of cation and anion concentrations. The results obtained were as follows: 1. Annual mean values of dustfalls were $8.30{\pm}5.09tons/km^2/month$ in an urban and $6.20{\pm}0.82tons/km^2/month$ in a rural districts. And annual mean values of pH of filtrates of the collected samples were $5.3{\pm}0.76$ in an urban and $6.0{\pm}0.82$ in a rural districts. 2. Annual mean concentrations of common cations and anions in their filtrates were as follows: urban rural (unit: ppm) $$Na^{+}\;1.7{\pm}1.30\;1.9{\pm}1.86$$ $$NH^{+}_{4}\;2.4{\pm}1.60\;1.3{\pm}1.59$$ $$K^{+}\;0.7{\pm}0.47\;1.5{\pm}3.79$$ $$Ca^{++}\;5.3{\pm}0.95\;3.4{\pm}2.58$$ $$Mg^{++}\;0.7{\pm}0.89\;0.5{\pm}0.83$$ $$Cl^{-}\;2.0{\pm}1.31\;4.0{\pm}2.35$$ $$NO^{-}_{3}\;4.0{\pm}2.35\;2.7{\pm}1.31$$ $$So^{--}_{4}\;16.9{\pm}17.40\;6.8{\pm}8.00$$ Some of anions such as $Br^{-},\;{PO_4}^{-3}\;and\;{NO_2}^{-}$ were scarecely detected and $F^{-}$ was measured at very low concentrations ranging from 0.1 to 0.5 ppm in Feb., Oct. and Nov. in an urban and in Feb. in a rural districts. 3. By two-way analysis of variance with 4 replications for dustfalls, pH and concentrations of various ion by district and month of a year, statistically significant differences were noted in dustfalls (p<0.01), pH (p<0.01) and concentrations of various ion (p<0.01) by month of a year, and in dustfalls (p<0.05) and concentrations of various ion such as ${NH_4}^{+},\;Ca^{++},\;{NO_{3}}^{-}\;and\;{SO_4}^{--}$ (p<0.01) by district. 4. There were statistically significant differences pH in Spring (Feb., Mar and Apr.) (p<0.01) and in ${SO_4}^{--}$ in Autumn (Aug., Sept., Oct. and Nov.) (p<0.05) between the two districts.

• Journal of Environmental Science International
• /
• v.23 no.12
• /
• pp.1963-1970
• /
• 2014

Ambient particulate matters($PM_{10}$ and $PM_{2.5}$) were investigated at GNTECH university in Jinju city. Samples were collected using a dichotomous sampler(series 240, Andersen Corp.) and a TEOM(Tapered Element Oscillating Microbalance) monitor period from November 2012 to October 2013. For the dichotomous sampler measurements, daily 24-h integrated $PM_{2.5}$ and $PM_{10-2.5}$ ambient air samples were collected at a total flow rate of 16.7 L /min. For the TEOM monitor measurements, daily 1-h integrated $PM_{10}$ ambient air samples were collected at a flow rate of 16.7 L /min. The annual average concentrations of $PM_{10-2.5}$ and $PM_{2.5}$ by a dichotomous sampler were $10.0{\pm}6.1{\mu}g/m^3$ and $22.6{\pm}9.3{\mu}g/m^3$, respectively. And $PM_{10}$ concentration by dichotomous sampler were similar to TEOM monitor by $32.7{\pm}12.9{\mu}g/m^3$ and $31.7{\pm}11.3{\mu}g/m^3$, respectively. And good correlation ($R^2=0.964$) between the two methods was observed. The annual average of $PM_{2.5}/PM_{10}$ ratio was $0.70{\pm}0.12$.

• Journal of Korean Society for Atmospheric Environment
• /
• v.26 no.5
• /
• pp.567-580
• /
• 2010

Organic carbon (OC) and elemental carbon (EC) concentrations were determined for $PM_{10}$, $PM_{2.5}$ and $PM_{1.0}$ aerosols particles collected at Gosan Superstation on Jeju Island from August 2007 to September 2008. Aerosols were collected on quartz filters for 24 hours and then OC and EC were analyzed by TOR/IMPROVED method. Mean concentrations of OC and EC were $4.66\;{\mu}g/m^3$ and $1.69\;{\mu}g/m^3$ for $PM_{10}$, $3.95\;{\mu}g/m^3$ and $1.69\;{\mu}g/m^3$ for $PM_{2.5}$, and $3.16\;{\mu}g/m^3$ and $1.42\;{\mu}g/m^3$ for $PM_{1.0}$, respectively. The concentrations of OC and EC comprised 16.4% and 6.0% of $PM_{10}$, 22.9% and 9.8% of $PM_{2.5}$, and 23.0% and 10.0% of $PM_{1.0}$. OC and EC showed a clear seasonal variation with the highest in winter and the lowest in summer. The correlations between the two were also the best during the winter ($R^2$=0.87, 0.94, and 0.95 for $PM_{10}$, $PM_{2.5}$ and $PM_{1.0}$). The ratio of OC/EC exhibited the maximum (7.24) during an Asian dust event due to an increase of OC, which was possibly derived from soil. The mass fraction of both OC and EC was the highest in fall. When OC and EC concentrations were highly elevated, EC1 (the first EC fraction determined at $550^{\circ}C$) and pyrolyzed OC (POC) were dominant subcomponents in winter and OC3 (the third OC fraction determined at $450^{\circ}C$) and POC in spring.