• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2010년도 춘계학술대회 논문집
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• pp.496-497
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• 2010

• 한국대기환경학회지
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• 제13권6호
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• pp.475-486
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• 1997

The characteristics of atmospheric aerosols were investigated as a function of particle size and water solubility. The atmospheric aerosols were sampled with classifying into 12 size ranges by the use of Andersen low-pressure impactor. Collected aerosol particles were extracted by ultrapure water and filtered to be separated into water-soluble and insoluble components. The concentrations 12 elements in both components were determined by PIXE analysis. And the concentrations of 8 ions in the soluble component were analyzed by ion chromatography. In general, the mass size distribution of particulate matter was represented as a bimodal distribution. The mass size distributions of S$(SO_4^{2-}), K(K^+), Zn and NH_4^+$ skewed to the smaller size range and those of Si, Ca$(Ca^{2+}), Fe, Na^+ and Mg^{2+}$ skewed to the larger size range. They had roughly one peak in the fine and coarse particle region,respectively. On the other hand, the mass size distribution of Ti, Mn, Ni, Cu, $Cl^- and NO_3^-$ were represented as the bimodal distribution. Fe and Si in the aerosol particles extracted into pure water are existing in high insoluble state. Conversely, almost the whole of S is dissolved in water.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2001년도 추계학술대회 논문집
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• pp.119-120
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• 2001

우리나라에서는 에어로졸에 대해서 많은 관측과 분석이 이루어졌지만 바다와 육지의 에어로졸 분포에 대한 연구에는 어려움이 많았다. 인공위성자료를 이용하면 한반도와 주위의 바다가 한 화면에 나타나기 때문에 에어로졸의 공간분포 연구에 사용할 수 있다. 본 연구에서는 MODIS 자료를 이용해 에어로졸의 optical thickness를 이용하여 미세입자와 거대입자의 구성비를 구하고, 에어로졸의 공간 분포 및 특성을 연구하였다. (중략)

• 한국환경과학회지
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• 제26권1호
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• pp.29-36
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• 2017

Aerosol mass size distributions were investigated at 865 m high the of Jirisan national park. A nanosampler cascade impactor was used to collect aerosols. The atmospheric aerosol particles had a unimodal mass size distribution, which peaked at $0.5-1.0{\mu}m$, and a mass aerodynamic diameter of $1.13{\mu}m$. The annual average concentrations of TSP, $PM_{10}$, $PM_{2.5}$, $PM_1$, $PM_{0.5}$ and $PM_{0.1}$ were $20.9{\mu}g/m^3$, $19.3{\mu}g/m^3$, $14.9{\mu}g/m^3$, $10.7{\mu}g/m^3$, $5.3{\mu}g/m^3$, $1.2{\mu}g/m^3$, respectively. TSP concentrations were below $30{\mu}g/m^3$ during the sampling period. On average $PM_{10}$, $PM_{2.5}$, $PM_1$, $PM_{0.5}$ and $PM_{0.1}$ made up 0.91, 0.70, 0.41, 0.19 and 0.07 of TSP, respectively. The annual average of PM2.5/PM10 ratio was 0.77.

• Journal of Korean Society for Atmospheric Environment
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• 제24권E1호
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• pp.32-43
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• 2008

Source samples were collected to construct source profiles for 9 different source types, including soil, road dust, gasoline/diesel-powered vehicles, a municipal incinerator, industrial sources, agricultural/biomass burning, marine aerosol, and a coal-fired power plant. Seasonal profiles for 'Chinese aerosol', aerosols derived from the urban area of China, were reconstructed from seasonal $PM_{2.5}$ compositions reported in Beijing, China. Ambient $PM_{2.5}$ at a receptor site was also measured during each of the four seasons, from April 2001 to February 2002, in Seoul. The Chemical Mass Balance receptor model was applied to quantify source contributions during the study period using the estimated source profiles. Consequently, motor vehicle exhaust (33.0%), in particular 23.9% for diesel-powered vehicles, was the largest contributor affecting the $PM_{2.5}$ levels in Seoul, followed by agricultural/biomass burning (21.5%) and 'Chinese aerosol' (13.1%), indicating contributions from long-range transport. The largest contributors by season were: for spring, 'Chinese aerosol' (31.7%); for summer, motor vehicle exhaust (66.9%); and for fall and winter, agricultural/biomass burning (31.1% and 40.1%, respectively). These results show different seasonal patterns and sources affecting the $PM_{2.5}$ level in Seoul, than those previously reported for other cities in the world.

• 한국지구과학회지
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• 제39권2호
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• pp.119-130
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• 2018

동아시아 지역의 에어로졸 광학정보에 대하여 천리안 위성에 탑재된 GOCI, MI, 그리고 Himawari 8 위성에 탑재된 AHI 센서들의 측정자료를 연세 에어로졸 알고리즘(YAER)을 이용하여 산출하였다. 본 연구에서는 각 센서에서 산출되는 에어로졸 광학두께(Aerosol optical depth, AOD)를 상호비교하고, 지상장비인 AERONET과의 검증결과도 보였다. 사용한 AOD 자료는 세 종류의 센서에서 최소반사도 방법(Minimum reflectance method, MRM)을 이용하여 산출된 AOD, 그리고 AHI에서는 단파적외선이용 지표면정보산출방법(Estimated surface reflectance from SWIR, ESR)을 이용한 방법의 AOD까지 총 네가지이다. 세 위성간의 산출결과에서 육지와 해양에서 일관된 결과를 보이고 있으나, MI와 GOCI에서는 구름제거에 한계가 존재하며 AOD의 과대 추정 문제가 보인다. 한편 지상장비인 AERONET과의 비교검증결과는 MI, GOCI, 그리고 AHI 의 MRM 방법, ESR 방법 에서 기대오차 내에 들어오는 비율(% within Expected error, EE)이 36.3, 48.4, 56.6, 68.2%로 각각 나타났다. MI의 경우는 단일 채널을 이용하여 에어로졸광학정보를 산출하고 있고, 계절에 따른 에어로졸 유형을 고정하고 있어, 다양한 오차가 포함되어 낮은 EE를 보이고 있다. 5, 6월에는 ESR 방법의 결과물은 높은 EE 를 나타내고 있는데 이는 GOCI, MI, MRM 방법 에서 사용하고 있는 최소반사도 방법보다 정확한 지면반사도를 산출하기 때문으로 추정된다. 이 결과는 AERONET 사이트 별로 RMSE 와 EE 로 설명하고 있으며, 검증한 총 22개 사이트 중 15개 사이트에서 ESR 방법이 가장 높은 EE 를 보이고 있고, RMSE는 13개 사이트에서 가장 낮게 나타났다. 또한 정지궤도 위성의 특징을 이용하여 시간대별 오차를 각 산출물 별로 보였다. 00~06 Universal Time Coordinated (UTC)에서 한 시간별로 최대로 나타나는 absolute median bias error 는 0.05, 0.09, 0.18, 0.18, 0.14, 0.09, 0.10 로 나타나며 00UTC에서는 GOCI 에서, 나머지 시간대에서는 MI에서 최대오차를 보였다.

• Mass Spectrometry Letters
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• 제8권1호
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• pp.1-7
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• 2017

Studies performed on heterogeneous reactions of hydroxyl radicals (OH) in aerosol materials of tropospheric interest are presented, focusing on the chemical ionization mass spectrometric approach. Kinetic investigations of these reactions reduced deviation in the estimation of OH concentration in the troposphere by atmospheric modeling from field measurements. Recently, OH uptake was investigated under wet conditions to acquire kinetic information under more realistic conditions representative of the troposphere. The information on the mechanism and kinetics of OH uptake by tropospheric aerosol materials will contribute to the updating of atmospheric models, allowing a better understanding of the troposphere.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.794-796
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• 2006

This study investigated the Brightness Temperature Difference threshold as criterion between aerosols and clouds in conjunction with radiative transfer model. Surface temperature is caused by a significant error over 50% in the BTD threshold. In addition, The BTD threshold contains the uncertainties about 20% due to the surface emissivity and 8% due to the satellite zenith angle. Therefore, we have composed the Look-up table for BTD between 11㎛and 12㎛ according to satellite zenith angle, surface temperature, and surface emissivity. The modified BTD show the enhanced signal, especially over bright surface such as desert in China. However, a weak aerosol signal over Ocean remains in the modified BTD.

• 한국대기환경학회지
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• 제20권5호
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• pp.685-695
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• 2004

Size-segregated measurements of aerosol composition are used to estimate the transport of natural and anthropogenic aerosols at Gosan site during May 2002. The results of measurement show that not only soil dust but also anthropogenic aerosols, including sulfur and enriched trace metals such as Pb, Zn, Cu, are transported to Gosan. This study combines the size- and time-resolved aerosol composition measurements with factor analysis in order to identify some source materials. As a result, coarse particles (2.5${\mu}m$~12${\mu}m$) are influenced by soil, sea-salt, coal, coal combustion, and nonferrous sources. But fine particles have different sources. The fine particles, which the diameter is from 0.56${\mu}m$ to 2.5${\mu}m$, are more affected by road dust, oil combustion, industry. municipal incineration, and ferrous metal sources. The very fine particles, from 0.09${\mu}m$ to 0.56${\mu}m$, mainly supplied by biomass burning, oil combustion, nonferrous and ferrous metal sources.

• 한국대기환경학회지
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• 제34권5호
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• pp.677-686
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• 2018

An intensive measurement was conducted to study the mass and number concentrations of atmospheric aerosols in Anheung ($36.679^{\circ}N$, $126.186^{\circ}E$), the west coastal measurement site of Korea during December 2017~April 2018. To evaluate relationships between the aerosols and meteorological parameters, comparisons of Optical Particle Counter (OPC) measured data and Auto Weather System (AWS) data were performed. Measured PM mass concentrations are $PM_{10}=42.814{\pm}30.103{\mu}g/m^3$, $PM_{2.5}=29.674{\pm}25.063{\mu}g/m^3$, $PM_1=28.958{\pm}24.658{\mu}g/m^3$, respectively. The PM ratios showed that the $PM_{10}$ concentrations contained about 67.8% of $PM_{2.5}$, while most part of $PM_{2.5}$ was $PM_1$ (about 97.1%). Timely collocation with AWS data were performed, exploring relations with the PM concentrations. PM concentrations can be explained by wind direction and relative humidity conditions. The significant reductions of fine particles in mass and number concentrations may attribute to actions on particle growth and wet removal. In these results, we suppose that the aerosol concentrations and size distributions are affected by inflow direction and air mass sources from the origin.