• 한국환경과학회지
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• 제23권3호
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• pp.447-457
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• 2014

The number concentrations, the mass concentrations and the elemental concentrations of $PM_{10}$ have measured at Gosan site in Jeju, Korea, from March 2010 to December 2010. And the correlation and the factor analysis for the number, the mass and the elemental concentrations of $PM_{10}$ are performed to identify their relationships and sources. The average $PM_{10}$ number concentration is observed $246\;particles/cm^3$($35.7{\sim}1,017\;particles/cm^3$) and the average $PM_{10}$ mass concentration is shown $50.1{\mu}g/m^3$($16.7{\sim}441.4{\mu}g/m^3$) during this experimental period. The number concentrations are significantly decreased with increasing particle size, hence the concentrations for the smaller particles less than $2.5{\mu}m$($PM_{2.5}$) are contributed 99.6% to the total $PM_{10}$ number concentrations. The highest concentration of the 20 elements in $PM_{10}$ determined in this study is shown by S with a mean value of $1,497ng/m^3$ and the lowest concentration of them is found by Cd with a mean value of $0.57ng/m^3$. The elements in $PM_{10}$ are evidently classified into two group based on their concentrations: In group 1, including S>Na>Al>Fe>Ca>Mg>K, the elemental mean concentrations are higher than several hundred $ng/m^3$, on the other hand, the concentrations are lower than several ten $ng/m^3$ in group 2, including Zn>Mn>Ni>Ti>Cr>Co>Cu>Mo>Sr>Ba>V>Cd. The size-separated number concentrations are shown positively correlated with the mass concentrations in overall size ranges, although their correlation coefficients, which are monotonously increased or decreased with size range, are not high. The concentrations of the elements in group 1 are shown highly correlated with the mass concentrations, but the concentrations in group 2 are shown hardly correlated with the mass concentrations. The elements originated from natural sources have been predominantly related to the mass concentrations while the elements from anthropogenic sources have mainly affected on the number concentrations of $PM_{10}$.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1122-1137
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• 2021

PM_2.5 concentration in Seoul could be predicted by deep neural network model. In this paper, the contribution of input factors to the model's prediction results is analyzed using the LRP(Layer-wise Relevance Propagation) technique. LRP analysis is performed by dividing the input data by time and PM concentration, respectively. As a result of the analysis by time, the contribution of the measurement factors is high in the forecast for the day, and those of the forecast factors are high in the forecast for the tomorrow and the day after tomorrow. In the case of the PM concentration analysis, the contribution of the weather factors is high in the low-concentration pattern, and that of the air quality factors is high in the high-concentration pattern. In addition, the date and the temperature factors contribute significantly regardless of time and concentration.

• 자원ㆍ환경경제연구
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• 제26권3호
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• pp.417-449
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• 2017

본 연구는 한국노동연구원에서 제공하는 한국노동패널조사(KLIPS) 자료와 환경부 국립환경과학원이 제공하는 미세먼지 정보를 이용하여, 미세먼지가 개인의 주관적인 만족도에 미치는 효과를 분석하고 미세먼지 저감에 따른 사람들의 WTP를 추정했다. 패널 확률효과 순서형로짓을 이용한 추정 결과에 따르면, 첫째, 미세먼지 농도의 상승은 사람들의 주관적 삶의 만족도 확률을 낮추는 음의 값을 보였다. $PM_{10}\;1{\mu}g/m^3$ 증가는 각각 0.042%p~0.091%p까지 '만족'을 선택할 확률을 낮추게 했고, $PM_{2.5}\;1{\mu}g/m^3$ 증가는 각각 0.034%p~0.153%p까지 '만족'을 선택할 확률을 낮췄다. 소득의 경우, 가구당 연간 소득 1% 증가는 '만족' 선택할 확률을 0.16%p~0.18%p까지 높게 했다. 둘째, 대기 질 개선 비용을 산정하기 위해서 미세먼지 저감에 대한 WTP를 도출했다. $PM_{10}$ 1단위 개선하기 위한 사람들의 WTP는 108,787($96)~209,519($186)원 정도 도출되었고, $PM_{2.5}$의 WTP는 89,345($79)~362,930($322)원 정도 산출됐다. 이 금액은 한국인 가구 평균 연간 소득의 0.26%~0.50%와 0.22%~0.88%에 해당한다.

• 대한환경공학회지
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• 제36권5호
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• pp.317-324
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• 2014

본 연구는 흡연기작을 모사한 시료채취장비를 이용하여 환경담배연기를 주류연기와 비주류연기로 구분하여 채취하고, 환경담배연기 중의 미량원소성분을 중성자방사화분석을 이용하여 분석하였다. 또한, 실내공기 중 PM2.5를 집중적으로 채취하고 인체 영향이 큰 As, Cr, Mn, Se, V, Zn를 비롯한 약 20종의 미량원소를 분석하여 그 화학적 특성을 파악하며 환경담배연기가 실내공기질에 미치는 영향을 평가하고자 하였다. 담배개피 당 미량원소 발생량은 Cl, K, Na 등을 제외한 대부분의 원소에서 비주류연기에서 더 높게 나타났고, K, Cl, Na, Al의 발생량은 개피 당 $1{\mu}g$ 이상으로 가장 많았고, Br, Fe, Zn도 높은 배출량을 보여 외부오염원과 독립적으로 실내 환경에서의 Br, Cl, Fe, K, Zn의 농도 증가에 환경담배연기가 기여하는 것으로 판단된다. PM2.5의 농도는 흡연 사무실은 $58.7{\pm}18.1{\mu}g/m^3$인 반면, 비흡연 사무실은 $38.6{\pm}12.7{\mu}g/m^3$를 보여 ETS에 의해 흡연 사무실에서 1.5배 정도 높게 나타났고, 미량원소의 농도비는 Cu (1.0)를 제외한 모든 원소에서 농도비의 평균값이 1.1~6.0으로 흡연 사무실의 원소 농도가 비흡연 사무실의 원소 농도보다 높게 나타났다. 이러한 결과는 환경담배연기가 실내 공기 중 PM2.5와 미량원소의 농도 증가의 한 원인인 것을 보여주고 있다.

• 한국환경과학회지
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• 제24권11호
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• pp.1525-1540
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• 2015

In order to clarify the contribution rate of PM concentration due to regional emission distribution, Brute force analysis were carried out using numerical estimated PM data from WRF-CMAQ. The emission from Kyeongki region including Seoul metropolitan is the largest contribution of PM concentration than that from other regions except for emission of trans-country and source itself. Contribution rate of self emission is also the largest at Kyeongki region and its rate reach on over 95 %. And the rate at Gangwon region also higher than any region due to synoptic wind pattern. Due to synoptic wind direction at high PM episode, pollutants at downwind area along from west to east and from north to south tends to mix intensively and its composition is also complicated. Although the uncertainty of initial concentration of PM, the contribution of regional PM concentration tend to depend on the meteorological condition including intensity of synoptic and mesoscale wind and PM emission pattern over upwind region.

• 한국대기환경학회지
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• 제34권4호
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• pp.534-541
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• 2018

Concentrations of total particulate matter (TPM), $PM_{10}$ and $PM_{2.5}$ were measured at three different sites based on each different fuel type (solid, liquid and gas) used in thermal power plants operating in Yeosu and Gwangyang National Industrial Complexes during 2017. The highest concentrations of TPM, $PM_{10}$, and $PM_{2.5}$ were observed at the solid fuel facility, and these values were $3.356mg/Sm^3$, $2.342mg/Sm^3$ and $1.834mg/Sm^3$, respectively. The ratio of $PM_{2.5}$ to TPM was the highest value of 54.6% in solid fuel case, and the lowest was 35.7% found in liquid fuel case. As a result of analyzing 9 kinds of metal compound with respect to each particle size, the metal concentration of TPM is higher than those of $PM_{10}$ and $PM_{2.5}$ in all fuel types. Total concentrations of metal elements in TPM by fuel difference are $1.2702mg/Sm^3$ in solid fuel, 0.0603 mg/Sm3 in liquid fuel, and $0.0733mg/Sm^3$ in gas fuel, respectively. Relatively higher total metal concentration in gas fuel than in liquid fuel was found; and this could be higher Cr and Al concentrations in use of gas fuel. As a result of estimating the emission factors of each facility, in case of solid fuel, TPM emissions per electricity production were found to be 0.7080 kt/PJ, followed by liquid fuel and gas fuel. $PM_{10}$ and $PM_{2.5}$ emissions per hour of electricity production were similar to those of TPM.

• 한국대기환경학회지
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• 제28권5호
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• pp.595-605
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• 2012

Fine particles ($PM_{2.5}$) were collected and analyzed from April 2010 through January 2011 in Chungju to investigate the characteristics of $PM_{2.5}$ and its ionic species. The annual mean concentrations of $PM_{2.5}$, ${SO_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$ in the particulate phase were 40.84, 7.61, 7.14 and $3.74{\mu}g/m^3$, respectively. $PM_{2.5}$ concentrations were higher in fall and spring than in winter and summer. The elevated concentrations episodes are the main factor that enhanced the $PM_{2.5}$ concentrations in the fall. Among the major ionic species ${SO_4}^{2-}$ showed the highest concentration, followed by $NO_3{^-}$ and $NH_4{^+}$, $NO_3^-$ exhibited higher concentrations during the winter, but ${SO_4}^{2-}$ and $NH_4{^+}$ were not showed seasonal variation. The high correlations were found among $PM_{2.5}$, ${SO_4}^{2-}$, $NO_3{^-}$ and $NH_4{^+}$ during all seasons except for spring. The evaluation of backward trajectories and meteorological records show that the highest $PM_{2.5}$ concentration levels occurred during W-NW weather conditions, which influenced by the emission sources of China area. The low pollution levels generally occurred during E-S weather conditions, which influenced by the East Sea and south of the Yellow Sea. The elevated $PM_{2.5}$ mass concentrations arouse the concentration of $NO_3{^-}$, but no effects on ${SO_4}^{2-}$ and $NH_4{^+}$.

• 대한환경공학회지
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• 제38권8호
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• pp.459-467
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• 2016

본 연구는 기기중성자방사화분석법을 이용하여 다중이용시설 중 지하철 객차 내 실내공기 중 미세먼지(PM10)의 미량원소 분포특성과 실내공기질을 평가하고, 향후 실내공기질의 효율적인 제어를 위한 객차 내 PM10의 오염원을 평가하고자 하였다. 대전광역시에서 운행 중인 지하철 객차 내에서 채취한 PM10의 평균농도는 $59.3{\pm}14.5{\mu}g/m^3$이었고, 지하철 객차 내 PM10 중 24종의 원소성분을 정량분석한 결과, 농도는 $10^{-3}{\sim}10^5ng/m^3$ 범위에 걸쳐 넓게 분포하였으며, Fe ($12.5{\mu}g/m^3$)의 농도가 특히 높았다. 이는 지하철 브레이크 시스템과 철로 및 차륜 마찰과 같은 지하철 운행에 의하여 Fe가 상당히 부유되기 때문인 것으로 판단된다. 분석된 미량원소 농도를 바탕으로 오염원을 평가한 결과, brake-nonferrous metal particle, resuspended rail dust, fuel combustion, vehicle exhaust, black carbon, Cr-related가 주요 오염원인 것으로 나타났다.

• 한국식품영양과학회지
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• 제35권8호
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• pp.961-966
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• 2006

머루 과피 용매추출물의 전자공여 작용, 환원력, SOD 유사활성, TBARS 및 아질산염 소거작용을 측정하여 항산화 기능을 규명하고자 하였다. 총 페놀과 플라보노이드 함량이 가장 높은 ethyl acetate 추출물의 경우 전자공여 작용도 $100\;{\mu}g/mL$ 농도에서 $79.2{\pm}0.06%$로 BHT$(74.1{\pm}0.15%)$보다 더 활성이 높았고, 추출물의 농도에 비례하여 전자공여 작용과 환원력은 유의적으로 증가하였다. SOD 유사활성은 $100\;{\mu}g/mL$ 농도에서 ethyl acetate와 butanol 추출물에서 각각 $25.1{\pm}0.41%$와 $20.2{\pm}0.13%$로 다른 추출물에 비해 높은 활성을 보였다. $FeCl_2$와 $CuSO_4$에 대한 항산화 활성도 추출물의 농도가 높아짐에 따라 그 활성이 증가하는 경향이었는데, ethyl acetate 추출물은 ascorbic acid보다 항산화 활성이 높았다. 머루 과피 용매추출물의 아질산염 소거작용은 pH 2.5에서 ethyl acetate$(90.5{\pm}0.75%)$>butanol$(65.9{\pm}2.16%)$>hexane$(58.1{\pm}1.74%)$>chloroform$(55.4{\pm}1.02%)$>water$(40.9{\pm}0.35%)$ 추출물의 순으로 소거작용이 높았다. 이상의 결과를 종합하여 볼 때 머루 과피의 항산화 활성은 ethyl acetate 추출물에서 가장 우수하였다.

• 한국입자에어로졸학회지
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• 제5권2호
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• pp.53-62
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• 2009

In this study, the continuous monitoring of the concentration of PM-10 atmospheric particulate matter using beta ray attenuation method was compared with gravimetric method from September, 2006 to August, 2007. On the effects of the PM-10 concentration and mass difference by relative humidity and precipitation were considered. The result showed that the measurement error between beta ray method and gravimetric method are within -3~6% in average, which means PM-10 concentration data with beta ray method are relatively comparable. The current study also shows that the high PM-10 concentration events are mainly due to haze, Asian dust, and high relative humidity and the PM-10 mass concentration is closely related with relative humidity and precipitation events. Based on daily mean data, the PM-10 increases as relative humidity increases up to 70~80%, then decreases over 80% due to the precipitation. However, the distinct measurement discrepancy was not shown between beta ray method and gravimetric method based on current results. Consequently, this study shows that the collocated measurement in different instrument is essential in order to quantify the accuracy of PM-10. Furthermore, the more comprehensive and spatially distributed comparison is needed and this is remained for future study.