• Title/Summary/Keyword: AES-NI

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서울시 지하철 승강장의 스크린도어 설치 전·후 PM10 오염원의 기여도 비교 연구 (A Comparative Study on PM10 Source Contributions in a Seoul Metropolitan Subway Station Before/After Installing Platform Screen Doors)

  • 이태정;전재식;김신도;김동술
    • 한국대기환경학회지
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    • 제26권5호
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    • pp.543-553
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    • 2010
  • Almost five million citizens a day are using subways as a means of traffic communication in the Seoul metropolitan. As the subway system is typically a closed environment, indoor air pollution problems frequently occurs and passengers complain of mal-health impact. Especially $PM_{10}$ is well known as one of the major pollutants in subway indoor environments. The purpose of this study was to compare the indoor air quality in terms of $PM_{10}$ and to quantitatively compare its source contributions in a Seoul subway platform before and after installing platform screen doors (PSD). $PM_{10}$ samples were collected on the J station platform of Subway Line 7 in Seoul metropolitan area from Jun. 12, 2008 to Jan. 12, 2009. The samples collected on membrane filters using $PM_{10}$ mini-volume portable samplers were then analyzed for trace metals and soluble ions. A total of 18 chemical species (Ba, Mn, Cr, Cd, Si, Fe, Ni, Al, Cu, Pb, Ti, $Na^+$, $NH_4^+$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, and ${SO_4}^{2-}$) were analyzed by using an ICP-AES and an IC after performing proper pre-treatments of each sample filter. Based on the chemical information, positive matrix factorization (PMF) model was applied to identify the source of particulate matters. $PM_{10}$ for the station was characterized by three sources such as ferrous related source, soil and road dust related source, and fine secondary aerosol source. After installing PSD, the average $PM_{10}$ concentration was decreased by 20.5% during the study periods. Especially the contribution of the ferrous related source emitted during train service in a tunnel route was decreased from 59.1% to 43.8% since both platform and tunnel areas were completely blocked by screen doors. However, the contribution of the fine secondary aerosol source emitted from various outside combustion activities was increased from 14.8% to 29.9% presumably due to ill-managed ventilation system and confined platform space.

PMF모델을 이용한 용인.수원 경계지역에서 PM10 오염원의 확인과 상대적 기여도의 추정 (Identification of Atmospheric PM10 Sources and Estimating Their Contributions to the Yongin-Suwon Bordering Area by Using PMF)

  • 이형우;이태정;양성수;김동술
    • 한국대기환경학회지
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    • 제24권4호
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    • pp.439-454
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    • 2008
  • The purpose of this study was to extensively identify $PM_{10}$ sources and to estimate their contributions to the study area, based on the analysis of the $PM_{10}$ mass concentration and the associated inorganic elements, ions, and total carbon. The contribution of $PM_{10}$ sources was estimated by applying a receptor method because identifying air emission sources were effective way to control the ambient air quality. $PM_{10}$ particles were collected from May to November 2007 in the Yongin-Suwon bordering area. $PM_{10}$ samples were collected on quartz filters by a $PM_{10}$ high-volume air sampler. The inorganic elements (Al, Mn, V, Cr, Fe, Ni, Cu, Zn, Cd, Pb, Si, Ba, Ti and Ag) were analyzed by an ICP-AES after proper pre-treatments of each sample. The ionic components of these $PM_{10}$ samples ($Cl^_$, $NO_3^-$, $SO_4^{2-}$, $Na^+$, $NH_4^+$, $K^+$, $Ca^{2+}$, and $Mg^{2+}$) were analyzed by an IC. The carbon components (OC1, OC2, OC3, OC4, OP, EC1, EC2 and EC3) were also analyzed by DRI/OGC analyzer. Source apportionment of $PM_{10}$ was performed using a positive matrix factorization (PMF) model. After performing PMF modeling, a total of 8 sources were identified and their contribution were estimated. Contributions from each emission source were as follows: 13.8% from oil combustion and industrial related source, 25.4% from soil source, 22.1% from secondary sulfate, 12.3% from secondary nitrate, 17.7% from auto emission including diesel (12.1%) and gasoline (5.6%), 3.1% from waste incineration and 5.6% from Na-rich source. This study provides information on the major sources affecting air quality in the receptor site, and therefore it will help us maintain and manage the ambient air quality in the Yongin-Suwon bordering area by establishing reliable control strategies for the related sources.

서울시 지하역사에서 PM10의 화학적 특성과 오염원의 확인 및 기여도 추정 (Identification of PM10 Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station)

  • 박슬바센나;이태정;고현기;배성준;김신도;박덕신;손종렬;김동술
    • 한국대기환경학회지
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    • 제29권1호
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    • pp.74-85
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    • 2013
  • Since the underground transportation system is a closed environment, indoor air quality problems may seriously affect many passengers' health. The purpose of this study was to understand $PM_{10}$ characteristics in the underground air environment and further to quantitatively estimate $PM_{10}$ source contributions in a Seoul Metropolitan subway station. The $PM_{10}$ was intensively collected on various filters with $PM_{10}$ aerosol samplers to obtain sufficient samples for its chemical analysis. Sampling was carried out in the M station on the Line-4 from April 21 to 28, July 13 to 21, and October 11 to 19 in the year of 2010 and January 11 to 17 in the year of 2011. The aerosol filter samples were then analyzed for metals, water soluble ions, and carbon components. The 29 chemical species (OC1, OC2, OC3, OC4, CC, PC, EC, Ag, Al, Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Si, Ti, V, Zn, $Cl^-$, $NO_3{^-}$, $SO_4{^{2-}}$, $Na^+$, $NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$) were analyzed by using ICP-AES, IC, and TOR after proper pretreatments of each sample filter. Based on the chemical information, positive matrix factorization (PMF) model was applied to identify the $PM_{10}$ sources and then six sources such as biomass burning, outdoor, vehicle, soil and road dust, secondary aerosol, ferrous, and brakewear related source were classified. The contributions rate of their sources in tunnel are 4.0%, 5.8%, 1.6%, 17.9%, 13.8% and 56.9% in order.

저희석 유리구 용해법에 의한 암석시료 미량원소 분석법 (Low Dilution Glass Bead Digestion Technique for the Trace Element Analysis of Rock Samples)

  • 박찬수;신형선;오혜영;문종화;정창식
    • 암석학회지
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    • 제20권3호
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    • pp.161-172
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    • 2011
  • 유도결합 플라즈마 질량분석법에 의한 암석 시료의 미량원소 정량분석을 위한 전처리 과정으로 통상 산분해법인 비이커-가열판 용해법이 사용된다. Zr과 Hf은 다른 비유동성 원소들과 함께 지구조 해석에 이용되는 중요한 원소이지만 암석 내에 이들을 농집시키는 불용성 광물이 있으면 비이커-가열판 용해법으로 완전히 용해되지 않는다. 이러한 불용성 광물을 용해시키기 위해 고압 테프론 용기법이나 알칼리 용융법을 이용하는데 전처리시간이 너무 오래 걸리거나 농도가 낮은 희토류원소 등의 분석 정확도가 감소하는 문제점이 있다. 이 연구에서는 자동 용융 기기를 사용하여 미국지질조사소의 암석 표준시료 3종(AGV-2, BHVO-2, G-3)을 저희석 유리구로 제작하고 이 유리구를 분말로 만들어 산분해를 거쳐 용해시킨 방법(유리구 용해법)으로 전처리한 후, 유도결합 플라즈마 질량분석기와 유도결합 플라즈마 원자방출분광기를 이용하여 희토류 원소를 포함한 30종의 미량원소 분석을 실시하였으며 시료에 대한 최종적인 희석비율은 1:2,000 이하로 유지하였다. 이 유리구 용해법에 의한 분석결과를 암석 분말시료를 이용한 비이커-가열판 용해법과 비교해 보았다. 대체적으로 Cr, Co, Ni, Cu, Zn, Pb 등의 원소분석 결과는 두 방법 모두 3종의 표준물질에서 추천치와 잘 부합되었으며 유리구 용해법을 이용한 분석에서 Pb, Zn 등 휘발성 원소의 손실은 나타나지 않았다. 저어콘을 많이 함유한 화강암 표준시료(G-3)의 Y, Zr, Hf과 중희토류원소에 대해서는 비이커-가열판 용해법의 경우 추천치에 비해 체계적으로 낮은 값을 보인 반면 유리구 용해법은 추천값에 잘 부합되는 결과를 얻었다. 이 연구의 유리구 용해법을 이용하면 불용성 원소를 포함한 미량원소 분석의 정확도가 크게 향상될 것으로 기대된다.