• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.3
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• pp.183-191
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• 2005

This study is designed to compare the performance of established samplers (personal air sampler and MiniVOL portable air sampler) commonly used in the air environment or work environment with that of the sampler made by remodeling the air bubble generator for aquarium fishes. Sampling method used in this study is the filter collection method for PM10 and total suspended particles (TSP), the liquid collection method for sulfur dioxide ($SO_2$) and nitrogen dioxide ($NO_2$), and the solid collection method for toluene, respectively. There is not a significant difference in the average concentration of TSP between the Gilian personal air sampler (1st, $0.316{\pm}0.095$; 2nd $0.191{\pm}0.090$; 3rd, $0.185{\pm}0.073mg/m^3$) and the remodeled sampler (1st, $0.317{\pm}0.106$, 2nd $0.201{\pm}0.050$; 3rd $0.189{\pm}0.081mg/m^3$). There are also not significant differences in the average concentration of PM10 among the Gilian personal air sampler ($0.058{\pm}0.006mg/m^3$), the remodeled sampler ($0.052{\pm}0.008mg/m^3$) and the MiniVOL portable air sampler ($0.054{\pm}0.007mg/m^3$). The average concentration of the SO2 by the established sampler and the remodeled one is $3.79{\pm}0.21ppb$ and $3.45{\pm}0.15ppb$, respectively. In addition, there are not sigmficant differences in the average concentration of the NO2 between the Gilian personal air sampler (1st, $0.325{\pm}0.068$; 2nd $0.341{\pm}0.206$; 3rd, $2.971{\pm}0.078{\mu}g/m^3$) and the remodeled sampler (1st, $0.300{\pm}0.062$; 2nd $0.332{\pm}0.144$, 3rd, $2.968{\pm}0.085{\mu}g/m^3$). There are not significant differences in the average concentration of toluene between the Gilian personal air sampler (1st, $0.499{\pm}0.072$; 2nd $0.598{\pm}0.112$; 3rd $2.284{\pm}0.077{\mu}g/m^3$) and the remodeled sampler (1st, $0.463{\pm}0.133$; 2nd $0.603{\pm}0.082$; 3rd $2.353{\pm}0.115{\mu}g/m^3$). From these results, we can conclude that the performance of the remodeled sampler is not different from that of established samplers. There is possibility that the remodeled sampler can be used as a alternative device for Gilian personal air sampler in area and personal air sampling.

• Journal of Korean Society of Environmental Engineers
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• v.31 no.2
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• pp.153-160
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• 2009

A PM10 (aerodynamic diameter${\leq}$10 ${\mu}m$) sampler is used to quantify the potential human exposure to suspended particulate matter (PM) and to comply with the governmental regulation. This study was conducted to compare and evaluate the same PM10 cutpoint and different slopes between United States Environmental Protection Agency (USEPA) PM10 sampling criterion and American Conference of Governmental Industrial Hygienists/$Comit\acute{e}$ $Europ\acute{e}en$ de Normalization/International Organization for Standardization thoracic PM10 sampling criterion through theory and experiment. Four PM10 samplers according to the USEPA criterion and one RespiCon sampler in accordance with the thoracic PM10 criterion were used in the present study. In addition, one DustTrak monitor was used to measure real time PM10 mass concentrations. All six aerosol samplers were tested in a PM generation chamber using polydisperse fly ash. Theoretical mass concentrations were calculated by applying the measured particle size distribution characteristics (geometric mean = 6.6 ${\mu}m$, geometric standard deviation = 1.9) of fly ash to each sampling criterion. The measured mass concentrations through a chamber experiment were consistent with theoretical mass concentrations in that a RespiCon sampler with the thoracic PM10 criterion collected less PM than a PM10 sampler with the USEPA criterion. The overall chamber experiment results indicated, when a PM10 sampler was used as a reference sampler, that (1) a RespiCon sampler had a normalizing factor of 1.6, meaning that this sampler underestimated an average 60% of PM10 mass sampled from a PM10 sampler, and (2) a DustTrak real-time monitor using a PM10 inlet had a calibration factor of 2.1.

• Journal of Environmental Science International
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• v.14 no.1
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• pp.91-96
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• 2005

Several samplers using gravimetric methods such as high-volume air sampler, MiniVol portable sampler, personal environmental monitor(PEM) and cyclone were applied to determine the concentrations of fine particles in atmospheric condition. Comparative evaluation between high-volume air sampler and Minivol portable sampler for $PM_{10}$, and between Minivol portable sampler and PEM was undertaken from June, 2003 to January 2004. Simultaneously, meteorological conditions such as wind speed, wind direction, relative humidity and temperature was measured to check the factors affecting the concentrations of fine particles. In addition, particle concen­trations by cyclone with an aerodynamic diameter of $4{\mu}m$ were measured. Correlation coefficient between high­volume air sampler and portable air sampler for $PM_{10}$ was 0.79 (p<0.001). However, the mean concentration for $PM_{10}$ by high-volume air sampler was significantly higher than that by Minivol portable sampler (p=0.018). Correlation coefficient between Minivol portable sampler and PEM for $PM_{2.5}$ as 0.74 (p<0.001), and the measured mean concentrations for $PM_{2.5}$ did not show significant difference. Difference of the measured con­centrations of fine particle might be explained by wind speed and humidity among meteorological conditions. Particle concentration differences by measurement samplers were proportional to the wind speed, but inversely proportional to the relative humidity, though it was not a significant correlation.

• Journal of Environmental Science International
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• v.23 no.12
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• pp.1963-1970
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• 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 $0.70{\pm}0.12$.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.129-133
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• 2000

환경대기중 입자상물질의 검사방법은 환경부고시 97-98호(97. 11. 5)에 의거 고용량공기포집법(high volume air sampler), 저용량공기포집법(low volume ai sampler), 광산란법 및 광투과법 그리고 $\beta$흡수법 등으로 되어 있다. 이중 고용량공기포집법, 저용량공기포집법, $\beta$흡수법등은 중량법의 범주에 드는 측정법으로 되어 있다. 이들 방법 중 먼지채취전후의 무게를 직접 칭량하여 분석하는 고용량공기포집법은 총부유먼지의 측정법으로, 저용량공기포집법은 $PM_{10}$의 분석에 이용되는 것이며 $PM_{10}$ 고용량공기포집기($PM_{10}$ high volume air sampler) 또는 $PM_{10}$ 분석에 이용될 수 있다. (중략)

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.18 no.3
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• pp.177-184
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• 2008

The purpose of this study was to compare the performance characteristics of Andersen and total suspended particulate (TSP) samplers in terms of particle size distribution (PSD) and mass sampling efficiency. In the present study, two Andersen and four TSP samplers were selected and tested to quantitatively estimate human exposure to fly ash representing industrial particulate matter (PM) in a carefully controlled chamber. The PSD characteristics, a mass median aerodynamic diameter and a geometric standard deviation, were found from the sampled PM of airborne samplers in the chamber. An Andersen sampler was compared with a TSP sampler quantified by a coulter counter multisizer, as a reference sampler, to describe the correlation of mass sampling efficiencies between two types of samplers. Overall results indicate that Andersen samplers overestimated small PM due to particle bounce phenomena between impaction stages. There was reasonably good correlation ($R^2$ = 0.89 and 0.91) between the mass sampling efficiencies of Andersen and TSP samplers during the two tests. However, the lower values of slope (0.71 and 0.72) in two tests showed that the Andersen sampler underestimated PM (> AD $10.1\;{\mu}m$) with sufficient inertia due to a relatively lower Andersen inlet velocity at 0.8 m/s comparing with the operating air velocity at 2.1 m/s in the sampling zone of a chamber.

• Journal of Korean Society for Atmospheric Environment
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• v.16 no.5
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• pp.453-467
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• 2000

The aim of this research is to collect and characterize fine particles (FPM:$\leq$2.5${\mu}{\textrm}{m}$) and coarse particles (CPM: 2.5~10${\mu}{\textrm}{m}$) using a low volume air sampler provided by the IAEA, at urban (Taejon) and rural area(Wonju) for a period of about two years(April 1996 to May 1998) and to promote a use of nuclear analytical techniques for air pollution studies. For the collection of airborne particulate matter (PM(sub)10), the Gent stacked filter unit sampler and polycarbonate membrane filters were employed. The concentration of trace elements in collected APM samples were determined byu instrumental Neutron Activation Analysis. For validation of the analytical data, internal quality control were implemented by using both the comparison of the analytical results of standard reference materials(NIST SRM 1648) and interlaboratory comparison for proficiency test (NAT-3). The standard uncertainty was less than 15% and Z-score of two samples were within $\pm$1. The monitoring of (PM(sub)10) mass concentration and elemental concentrations were carried out weekly. The average mass concentration of (PM(sub)10) in urban and rural areas were 59.2$\pm$36.5$\mu\textrm{g}$/㎥ and 41.4$\pm$23.7$\mu\textrm{g}$/㎥, respectively. To investigate the emission source, the enrichment factors were calculated for the fine and coarse particle fractions at two sites, respectively and these values were classified for anthropogenic and soil origin elements.

• Environmental engineer
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• s.158
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• pp.12-15
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• 1999

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.275-276
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• 2003

산업의 발달에 따른 환경 오염물질의 증가와 오염물질의 종류가 다양화됨에 따라 대기 중의 유해원소 및 미량원소에 의한 환경오염과 그로 인한 인체건강에 대한 영향은 인간생활에 심각한 문제가 되므로 대기 중의 농도를 정확히 측정하는 것은 매우 중요한 일이다. 특히 미세 입자는 오염된 도심지역 분진수의 90∼99%에 이르는 높은 비율을 보이고 있고, 폐 깊숙이 침투하여 폐암을 비롯한 폐질환을 일으킬 수 있다. (중략)

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.3
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• pp.324-333
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• 2016

Objectives: We aimed to compare the sampling performance of different flow-based impactor samplers for collecting fungal spores and bacteria and to explore the association of the level of bioaerosols with activity patterns of occupants in daycare center settings. Methods: For comparison of sampling performance, two different flow-based samplers (greater than 100 L/min or not) were selected; a low flow-based sampler (one-stage Andersen sampler) and two high flow-based samplers (DUO SAS SUPER 360 sampler, BUCK bio-culture sampler). We collected airborne mold and bacteria in 30 daycare centers with various levels of contaminated air. Three repeat samplings per each sampler were performed. Mold and bacteria were grown for 96 hours at $25{\pm}1^{\circ}C$ and 48 hours at $35{\pm}1^{\circ}C$, respectively. The Andersen and SAS samplers were used for investigating the association between the level of bioaerosols and the activity patterns of occupants in daycares. Particular matters 10($PM_{10}$), temperature, and relative humidity were monitored as well. Samplings were carried out with one-hour interval from 9 to 5 O'clock. For statistical comparisons, Kruskal-Wallis test, Wilcoxon's signed rank test, and multiple regression analysis were carried out. Results: The airborne level of molds by the low flow-based sampler were significantly higher than that of high flow-based samplers (indoor, P=0.037; outdoor, P=0.041). However, no statistical difference was observed in the airborne level of bacteria by each sampler. Also the level of bioaerosols varied by the time, particularly with different activity patterns in daycare centers. The higher level of mold and bacteria were observed in play time in indoor. Similarly, the concentrations of $PM_{10}$ were significantly associated with the level of bioaerosols (P<0.05). Conclusions: Our findings indicate that the flow rate of sampler, rather than total air volume, could be able to affect the results of sampling. Also, the level of airborne mold and bacteria vary behavior patterns of occupants in indoor of daycare settings. Therefore, different samplers with other flow rate may be selected for mold or bacteria sampling, and activity patterns should be considered for bioaerosol sampling as well.