• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2007년도 추계학술대회 논문집
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• pp.67-68
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• 2007

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2009년도 추계학술대회 논문집
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• pp.323-324
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• 2009

• 대한원격탐사학회지
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• 제24권6호
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• pp.559-569
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• 2008

세계 최초의 정지 궤도 해양관측 센서인 Geostationary Ocean Color Imager (COMS/GOCI)가 측정하는 가시광선 영역의 파장대 ($0.4-0.9{\mu}m$)는 대기 구성성분(기체상 또는 입자상)에 의하여 영향을 받기 때문에 이에 대한 보정이 필요하다. 특히, 대기중에 존재하는 미세입자인 에어러솔은 그 물리 화학적 특성의 다양함으로 인하여 태양광과 반응하는 과정이 상당히 복잡하게 나타나므로, 정확한 해양 관측을 위하여 대기 에어러솔과 복사 과정의 상호작용에 대한 정확한 이해가 필요하다. 본 연구에서는 알려진 대기 에어 러솔 특성 자료를 이용하여 에어 러솔의 물리 적, 광학적 특성을 분석하였다. 여기서 얻어진 에어러솔 특성 값들은 복사전달 모델을 이용하여 다양한 환경 조건하(에어러솔의 종류와 양)에서 위성센서가 측정하는 이론적인 복사량과 에어러솔의 관계를 분석하는데 사용되었다. 복사전달모델 분석결과, 위성 자료 분석에서 잘못된 에어러솔의 광학 특성값의 사용으로 인한 오차는 에어러솔 광학 두께($\tau$)가 0.2보다 작은 범위에서는 비교적 작은 값을 나타내나 0.2보다 크게 되는 경우 지속적으로 증가하였다. 추가로 위성 관측값과 복사전달 모델에 의하여 계산된 값의 차이가 최소인 에어러솔 타입의 광학 특성값을 이용하여 ($\tau$)와 ${\aa}ngstr{\ddot{o}}m$ exponent 를 도출한 결과는 기존의 표준 알고리즘보다는 지상관측자료와의 비교적 잘 일치하고 있는 것으로 나타났다. 따라서 위성 관측자료에서 에어러솔 분석함에 있어서 에어러솔 타입에 따른 광학적 특성값의 중요성은 매우 크다고 할 수 있다. 이러한 결과들은 궁극적으로 향후 발사될 COMS/GOCI의 관측 자료를 이용한 대기 에어러솔 분석이나 대기 효과 보정에 있어서 도움이 될 것이다.

• 한국입자에어로졸학회지
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• 제6권2호
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• pp.51-59
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• 2010

ZnO quantum dots embedded in a silica matrix without agglomeration were synthesized from $TEOS:Zn(NO_3)_2$ solutions in one-step process by aerosol-gel method. It was successfully demonstrated that the size of ZnO Q-dots could be controlled from 2 to 7 mm verified by a high resolution transmission electron microscope observation. The line scanning energy dispersive X-ray spectroscopy(EDS) revealed that the Q-dots existed preferentially inside SiO2 sphere when Zn/Si < 0.5. However, the Q-dots distributed homogeneously all over the sphere when Zn/Si > 1.0. Blue-shifted UV/Vis absorption peak observation confirmed the quantum size effect on the optical properties. The photoluminescence(PL) emission peaks of the powders at room temperature were consistent with previous reports in the following aspects: 1) PL characteristics are dominated by two peaks of deep-level defect-related emissions at 2.4 - 2.8 eV, 2) the first defect-related peak at 2.4 eV was blue shifted due to the quantum size effect with decreasing the concentration of $Zn(NO_3)_2$(decreasing the size of ZnO q dots). More interestingly, the existence of surface-exposed ZnO q dots affects greatly the second defect PL peak at 2.8 eV.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.236-238
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• 2006

An algorithm for detection of yellow sand aerosols has been developed with infrared bands from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-functional Transport Satellite-1 Replacement (MTSAT-1R) data. The algorithm is the hybrid algorithm that has used two methods combined together. The first method used the differential absorption in brightness temperature difference between $11{\mu}m$ and $12{\mu}m$ (BTD1). The radiation at 11 ${\mu}m$ is absorbed more than at 12 ${\mu}m$ when yellow sand is loaded in the atmosphere, whereas it will be the other way around when cloud is present. The second method uses the brightness temperature difference between $3.7{\mu}m$ and $11{\mu}m$ (BTD2). The technique would be most sensitive to dust loading during the day when the BTD2 is enhanced by reflection of $3.7{\mu}m$ solar radiation. We have applied the three methods to MTSAT-1R for derivation of the yellow sand dust and in conjunction with the Principle Component Analysis (PCA), a form of eigenvector statistical analysis. As produced Principle Component Image (PCI) through the PCA is the correlation between BTD1 and BTD2, errors of about 10% that have a low correlation are eliminated for aerosol detection. For the region of aerosol detection, aerosol index (AI) is produced to the scale of BTD1 and BTD2 values over land and ocean respectively. AI shows better results for yellow sand detection in comparison with the results from individual method. The comparison between AI and OMI aerosol index (AI) shows remarkable good correlations during daytime and relatively good correlations over the land.

• 한국입자에어로졸학회지
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• 제19권2호
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• pp.21-30
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• 2023

Solar cells, converting abundant solar energy into electrical energy, are considered crucial for sustainable energy generation. Recent advancements focus on nanoparticle-enhanced solar cells to overcome limitations and improve efficiency. These cells offer two potential efficiency enhancements. Firstly, plasmonic effects through nanoparticles can improve optical performance by enhancing absorption. Secondly, nanoparticles can improve charge transport and reduce recombination losses, enhancing electrical performance. However, factors like nanoparticle size, placement, and solar cell structure influence the overall performance. This study evaluates the performance of silver nanoparticles incorporated in a p-i-n structure of perovskite solar cells, generated via aerosol state by the evaporation and condensation system. The silver nanoparticles deposited between the hole transport layer and transparent electrode form nanoparticle embedded transport layer (NETL). The evaluation of the optoelectronic properties of perovskite devices using NETL demonstrates their potential for improving efficiency. The findings highlight the possibility of nanoparticle incorporation in perovskite solar cells, providing insights for sustainable energy generation.

• Transactions on Electrical and Electronic Materials
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• 제14권4호
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• pp.165-171
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• 2013

Nanostructured pure a-C and nitrogen doped a-C: N thin films with small particle size of, ~50 nm were obtained by Aerosol-assisted CVD method from the natural precursor camphor oil. Five samples were prepared for the a-C and a-C: N respectively, with the deposition temperatures ranging from $400^{\circ}C$ to $600^{\circ}C$. At high temperature, the AFM clarifies an even smoother image, due to the increase of the energetic carbon ion bombardment at the surface of the thin film. An ohmic contact was acquired from the current-voltage solar simulator characterization. The higher conductivity of a-C: N, of ${\sim}{\times}10^{-2}Scm^{-1}$ is due to the decrease in defects since the spin density gap decrease with the nitrogen addition. Pure a-C exhibit absorption coefficient, ${\alpha}$ of $10^4cm^{-1}$, whereas for a-C:N, ${\alpha}$ is of $10^5cm^{-1}$. The high ${\sigma}$ value of a-C:N is due to the presence of more graphitic component ($sp^2$ carbon bonding) in the carbon films.

• 대한기계학회논문집B
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• 제38권1호
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• pp.17-24
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• 2014

본 연구에서는 교외지역 대기 에어로졸의 특성을 파악하기 위하여 지구온난화와 밀접한 관련이 있다고 알려진 블랙카본 농도를 측정하였고, 그 결과들을 기상 요소들과 비교하였다. 필터 기반 측정 장치인 MAAP (Multi Angle Absorption Photometer)를 이용하여 측정된 블랙카본 농도와 황사농도, 습도, 온도 및 풍속을 비교하였다. 블랙카본 농도는 4~5월에 높으며 6~9월에 낮은 경향을 보였다. 블랙카본 농도는 PM10(직경 $10{\mu}m$ 이하 입자상 물질) 농도 및 습도와는 비례관계를 보였으며 온도 및 풍속과는 반비례 관계를 보였다. 또한 디젤엔진에서 발생한 블랙카본의 직경 및 광흡수 계수 및 수농도를 측정하여 흡수 단면적을 도출 하였고 이를 통하여 교외 지역 블랙카본의 수준을 평가 할 수 있는 방법을 소개하였다.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2009년도 춘계학술발표회
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• pp.53-54
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• 2009

The influence of atmospheric aerosol on satellite ocean color data were evaluated using SeaWiFS monthly standard mapped image products. The atmospheric optical thickness (AOT) was increased in spring and summer, and it showed the strong positive correlation with remote sensing reflectance, normalized waterleaving radiance /solar irradiance, at 555 nm (Rrs555) which is a component of the satellite chlorophyll estimation. Such the high AOT and high Rrs555 pixels showed overestimation of satellite chlorophyll in spring, especially in the area which showed large phytoplankton absorption which 1s expressed by low remote sensing reflectance at 443, 490 and 510 nm (Rrs 443, Rrs490 and Rrs510).

• 한국대기환경학회지
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• 제31권4호
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• pp.319-329
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• 2015

The characteristics of aerosol light extinction were investigated by comparing measured and calculated extinction coefficient to understand the contribution of air pollutants on visibility impairment for data during 4 months (Jan~ April), 2014. The integrated nephelometer and aethalometer system were installed to measure the scattering and absorption coefficients of aerosol as well as BAM 1020, MARGA, semi-continuous OCEC analyzer, and online-XRF to calculate the extinction coefficient. The IMPROVE_2005 equation was used to determine the contributions of different chemical components on visibility impairment in $PM_{2.5}$ and $PM_{10}$ due to highest correlation with measured data. Sulfate, nitrate, and organic mass by carbon (OMC) of fine aerosol were the major contributors affecting on visibility impairment. Total contributions to light extinction were calculated as $631.0Mm^{-1}$ for the worst-case and $64.4Mm^{-1}$ for the best-case. The concentrations of aerosol component for the worst-case were 38.4 times and 45.5 times larger than those of the best-case for $(NH_4)_2SO_4$ and $NH_4NO_3$, respectively. At lower visibility condition, in which extinction coefficient was higher than $400Mm^{-1}$, extinction coefficient varied according to the relative humidity variation regardless of $PM_{2.5}$.