• Economic and Environmental Geology
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• v.38 no.4 s.173
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• pp.463-479
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• 2005

The Sr and Pb isotopic ratios and chemical composition were measured for atmospheric bulk deposition samples collected in the Jeonju, Gunsan and Namweon areas over a period of one year. Acidity of deposition ranged pH $4\~7$ with little higher in dry season, and around pH 5.0 in rainy season. The EC and TDS of rainy season was low showing dilution effect, and increased during dry season. Sulfate $(SO_4)\;and\;NO_3$ are atmospheric aerosols largely of anthropogenic origin in winter. Sodium was concentrated in winter deposition, Ca was concentrated in spring to summer deposition. Namweon has lower EC and TDS than those of other, and Jeonju has higher. Namweon was concentrated in $HCO_3$ and Cunsan was concentrated in Cl. Aluminium, Cu, and Zn show good correlation index with TDS, indicating of their origin atmospheric. $^{87}Sr/^{86}Sr$ ratios of bulk deposition ranged from 0.7109 to 0.7128. The isotopic variations are correlated with mixing of isotopic compositions of local soils, road deposit and biogenic aerosol. In order to constrain further the origin of aerosols in rainwater, it will be necessary to collect additional Sr isotopic data for aerosols. Lead isotope ratios for all areas were similar and belonged to Pb isotope ratios of Seoul's aerosols, but little different with Beijing's aerosols. It showing that Pb in the Korea mainly derived from the gasoline combustion, not exclusively from the Beijing.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.27 no.2
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• pp.197-205
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• 2003

A cascade impactor is a multistage impaction device used to separate airborne particles into aerodynamic size classes. A micro-orifice impactor uses micro-orifice nozzles to extend the cut sizes of the lower stages to as small as 0.05 ${\mu}{\textrm}{m}$ in diameter without resorting to low pressures or creating excessive pressure drops across the impactor stages. In this work, the phenomenon of particle clogging in micro-orifice nozzles was experimentally investigated for a commercial micro-orifice uniform deposit impactor (MOUDI). It was observed, using an optical microscope, that the micro-orifice nozzles of the final stages were partially clogged due to particle deposition during the aerosol sampling. Therefore the pressure drops across the nozzles were higher than the nominal values given by the manufacturer. To examine the effect of particle clogging in micro-orifice nozzles, the particle collection efficiency of the MOUDI was evaluated using an electrical method for fine particles with diameters in the range of 0.1-0.6 ${\mu}{\textrm}{m}$. The monodisperse liquid dioctyl sebacate (DOS) particles were used as test aerosols. A faraday cage was employed to measure the low-level current of the charged particles upstream and downstream of each stage. It was found that the collection efficiency curves shifted to correspond to smaller orifice sizes, and the 50-% cutoff sizes were much smaller than those given by the manufacturer for the three stages with nozzles less than 400 ${\mu}{\textrm}{m}$ in diameter.

• Journal of Soil and Groundwater Environment
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• v.25 no.3
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• pp.74-83
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• 2020

Since fine dust (PM₁₀) has a significant influence on soil and groundwater composition during dry and wet deposition processes, it is of a vital importance to understand the fate and transport of aerosol in geological environments. Fine dust is formed after the chemical reaction of several precursors, typically observed in short intervals within a few hours. In this study, deep learning approach was applied to predict the fate of fine dust in an urban area. Deep learning training was performed by combining convolutional neural network (CNN) and recurrent neural network (RNN) techniques. The PM₁₀ concentration after 1 hour was predicted based on three-hour data by setting SO₂, CO, O₃, NO₂, and PM₁₀ as training data. The obtained coefficient of determination value, R², was 0.8973 between predicted and measured values for the entire concentration range of PM₁₀, suggesting deep learning method can be developed into a reliable and viable tool for prediction of fine dust concentration.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.2
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• pp.186-198
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• 2013

The present work is an attempt to improve the performance of a regional air quality model by means of liking it with a global chemistry transport model. The global chemical transport model of GEOS-Chem is used to provide BC (Boundary Condition)s which reflect temporal and spatial variations at boundaries of regional chemical transport model of CMAQ over East Asia. First, GEOS-Chem outputs are evaluated by comparing predicted concentrations with observed monthly data of gas phase species and secondary inorganic aerosols from EANET (Acid Deposition Monitoring Network in East Asia) sites. The results show that predicted PM10 concentrations are in good agreement with the observations. This implies that GEOS-Chem outputs could be used to provide BCs to CMAQ. Simulated daily and monthly mean PM10 concentrations of CMAQ with the linkage of GEOS-Chem's BCs and constant BCs are then evaluated by comparing predicted concentrations with observations at API (Air Pollution Index) sites in China as well as EANET sites in Korea. CMAQ with the GEOS-Chem outputs improves model simulation in depicting observed PM10 concentrations comparing with those with constant BCs. It is also found that influence of aerosol species are largely dependent on the BCs over East Asia and Korea. Mean biases between simulated versus observed daily and monthly mean concentrations of PM10 with the GEOS-chem were improved by 1~8 ${\mu}g/m^3$ in China region, 3.26 ${\mu}g/m^3$ in Korea.

• Korean Journal of Optics and Photonics
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• v.9 no.3
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• pp.156-161
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• 1998

We developed aerosol flame deposition method and made stress-free Pyrex-based optical waveguide on silicon substrate using this method. Zr is doped to control the refractive index of Pyrex waveguide layers. The refractive index of the film changes from 1.460 to 1.475 as the content of Zr changes from 0 to 3 wt%. Er is doped to see the possibility of applying this Pyrex waveguide as PLC-type (Planar Lightwave Circuit) optical amplifier. The refractive index of the film changes from 1.460 to 1.465 as the content of Zr changes from 0 to 1 wt%. Light launching using a prism coupler to the fabricated waveguide showed good quality for application to PLC. The polarization dependence of refractive-index of the Pyrex film is measured to be less than $2{\times}10^{-4}$.

• Journal of Korean Society for Atmospheric Environment
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• v.15 no.1
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• pp.23-32
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• 1999

Deposition is one of the important removal mechanisms for the ambient aerosol, and it also leads to adverse environmental and economic impacts. The purpose of this study was to investigate chemical compositions and spatial distributions of fall-out aerosols. A total number of 340 samples were collected at 35 sampling sites in Suwon area from January to November, 1996. Twelve inorganic elements (Al, Ba, Cd, Cr, K, Pb, Sb, Zn, Cu, Fe, Ni, and V) and eight ionic components ($F^-$, Cl, $NO_3^-$, $SO_4^{2-}$, $Na^+$, $NH_4^+$, $Mg^{2+}$, and $Ca^{2+}$) were analyzed by AAS and IC, respectively. The monthly variation showed that the flux of fall-out particles was increased in the spring season(March, April, and May) and decreased from August to October. Arithmetic mean flux of fall-out particles was 176.8 kg/$ extrm{km}^2$/day during the study period. The fluxes of each chemical species were $SO_4^{2-}$ 12.414, $Ca^{2+}$ 7.369, $NO_3^-$ 5.812, $Cl^-$ 3.566, $NH_4^+$ 3.176, Fe 3.107 kg/$\textrm{km}^2$/day, and so on. By using a kriging analysis, spatial distribution pattern of those fluxes was intensively studied. Total fluxes estimated in Suwon city were 8424.72t/y of fall-out particles, 519.27t/y of $SO_4^{2-}$, 336.79t/y of $Ca^{2+}$,267.34 t/y of $NO_3^+$, 155.36t/y of $Cl^-$, 147.79t/y of Fe.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.656-656
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• 2013

Multi-layer ceramic capacitor (MLCC)는 '전자산업의 쌀'이라고 일컬어 질만큼, 전자부품내에서 매우 중요하고 핵심적인 역할을 하며, 그 응용분야 또한 매우 광범위하다. 이러한 MLCC는 그 사용처에 따라, 초고용량 MLCC, 고전압용 MLCC, 저가제품용 MLCC, 그리고 고용량용 MLCC 등등으로 나뉘어진다. 이 중 최근 각광 받고 있는 스마트폰, 태플릿PC 등의 전자제품군에 사용되는 초고용량 MLCC의 경우, 높은 유전상수 값을 지닌 BaTiO3 기반의 물질이 일반적으로 사용되어지고 있으며, 또한 더 높은 용량(capacitance)을 얻기 위하여 해마다 유전체층의 두께가 점점 줄어들고 있고, 이러한 얇은 유전체층을 만들어 내기위해 유전체층의 결정립 크기도 수 마이크로미터에서 수백, 수십 나노미터 사이즈로 점점 작아지고 있는 상황이다. 하지만 점점 줄어들고 있는 유전체층의 두께와 결정립 크기의 추세와는 상관없이, 전기회로에서 요구되는 인가전압은 줄어들지 않고 일정하게 유지되고 있기 때문에, 유전체층의 내전압 특성은 전자제품의 높은 신뢰성을 위해서 날이 갈수록 중요시 되고 있다. 특히, 수백 나노미터 이하의 결정립 크기를 갖는 BaTiO3 유전체층의 내전압 특성은, 다양한 내전압 특성 메커니즘이 연구되어진 수 마이크로미터 대역의 결정립 크기를 갖는 BaTiO3 유전체층과는 다르게, MLCC 제조공정상의 한계와 BaTiO3의 결정립 성장이라는 어려움 때문에, 그 연구가 전무하다 할 수 있다. 따라서 본 연구에서는 수십 나노미터 결정립 크기를 갖는 BaTiO3 막을 만들어낼 수 있는 에어로졸 데포지션 공정을 이용하여 수십 나노미터 결정립 크기를 갖는 BaTiO3 막을 제조 하였으며, 이 막을 다양한 온도 조건에서 후속 열처리를 통한 결정립 성장을 통해 수십에서 수백 나노미터의 다양한 결정립 크기를 갖는 BaTiO3 막의 내전압 특성을 분석하였다.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.117-117
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• 2010

나노입자 제조 기술이 점차 발전하면서 금속산화물, 반도체용 및 태양전지용, 신소재 등 다양한 응용분야에 사용하고 있다. 따라서 이와 같은 나노입자 제조방법으로는 펄스 레이저 용사법(pulsed laser ablation), 플라즈마 아크 합성법(plasma arc synthesis), 열분해법(pyrolysis), plasma-enhanced chemical vapor deposition (PECVD)법 등과 같은 기상공정이 많이 사용되고 있다. 기상공정은 기존의 공정에 비해 고순도 입자의 대량 생산, 다성분 입자의 화학적 균질성 유지, 비교적 간단하고 깨끗한 공정 등의 장점을 가지고 있다. 기상공정에서 일반적인 입자 형성 메커니즘은 기체 상태의 화학 물질이 물리적 공정 혹은 화학 반응에 의해 과포화상태에 도달하게 되며, 이 때 동질 핵생성(homogeneous nucleation)이 일어나고 생성된 핵(nuclei)에 기체가 응축되고 충돌, 응집하면서 입자는 성장하게 된다. 열분해법은 실리콘 나노입자를 생산하는 기상공정 중 하나이다. 일반적으로 열분해 공정은 지속적으로 열이 가해지는 반응기 내에 반응기체인 $SiH_4$을 주입하고, 운반기체는 He, $H_2$, Ar, $N_2$ 등을 사용하였을 때, 높은 열로 인해 $SiH_4$가 분해되며, 이 때 가스-입자 전환 현상(gas to particle conversion)이 일어나 실리콘 입자가 형성된다. 그러나 입자 형성과정은 $SiH_4$ 농도, 유량, 작동 압력, 온도 등 매우 다양한 요소에 영향을 받는다. 고, 복잡한 화학반응 메커니즘에 의해 명확히 규명되지는 못하고 있다. 이에 본 연구에서는 복잡한 화학반응을 해석하는 상용코드 CHEMKIN 4.1.1을 이용하여 열분해 반응기 내에서의 실리콘 입자 형성, 성장, 응집, 전송 모델을 만들고 이를 수치해석하였다. 표면 반응, 응집, 전송에 의한 입자 성장 메커니즘을 포함하고 있는 aerosol dynamics model을 method of moment법으로 해를 구하였으며, 이를 실험 결과와 비교하여 모델링을 검증하였다. 또한 반응기의 온도, 압력, 가스 농도, 유량 등의 요소를 고려하여 실리콘 나노입자를 형성하는 최적의 조건을 연구하였다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.11
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• pp.86-91
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• 2021

Recently, functional clothes that can reduce deposition and/or penetration of fine dust have been developed. However, there are no methods to quantitatively evaluate the performance of these clothes. In this study, we developed a method to contaminate a fabric using fine dust and established an approach to quantitatively assess the degree of particle contamination on the fabric surface. Silicate powder was chosen as the particle to simulate fine dust because silicate particles are fluorescent under UV light; therefore, they can be distinguished from any color of non-fluorescent fabric surface. A camera with a high-resolution lens system was used to scan the surface of the contaminated fabric surface, and the degree of particle contamination of the fabric surface was analyzed in terms of the pixels corresponding to the area of the fabric surface contaminated by silicate particles. Finished or unfinished nylon fabrics as well as cotton fabrics were contaminated with silicate particles, and their surfaces were scanned using the established camera. The proposed assessment method was found to be useful for quantitatively comparing the degree of particle contamination of the fabrics.

• Korean Journal of Materials Research
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• v.10 no.11
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• pp.778-783
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• 2000

Effects of the $Al_2$O$_3$surface protective layer, deposited on the SnO$_2$sensing layer by aerosol flame deposition (AFD) method, on the sensing properties of SnO$_2$thin film ags sensors were investigated.Effects of Pt doping to the $Al_2$O$_3$surface protective layer on the selectivity of CH$_4$ gas were also investigated. 0.3$\mu\textrm{m}$ thick SnO$_2$thin sensing layers on Pt electrodes were prepared by R.F. magnetron sputtering with R.F. power of 50 W, at working pressure of 4mTorr, and at 20$0^{\circ}C$ for 30 min. $Al_2$O$_3$surface protective layers on SnO$_2$layers were prepared by AFD using a diluted aluminum nitrade (Al(NO$_3$).9$H_2O$) solution. The sensitivity of CO gas in the SnO$_2$gas sensor with an $Al_2$O$_3$surface protective layer was significantly decreased. But that of CH$_4$gas remained almost same with pure SnO$_2$gas sensor. This result shows that the selectivity of CH$_4$gas is increased because of the $Al_2$O$_3$surface protective layer. In the case of SnO$_2$gas sensors with Pt-doped $Al_2$O$_3$surface protective layers, low sensing property to CO gas and high sensing property to CH$_4$were observed. This results in the increasing of selectivity of CH$_4$gas selectivity are discussed.