• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2008년도 추계학술대회 논문집
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• pp.540-541
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• 2008

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2009년도 추계학술대회 논문집
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• pp.188-189
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• 2009

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2002년도 춘계학술대회 논문집
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• pp.85-86
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• 2002

제주도 고산은 우리나라의 대표적인 배경농도지역으로 동북아시아에서 대기오염물질의 장거리이동 특성을 규명하는데 중요한 지역이다. 이 발표에서는 1992년부터 2001년까지 고산에서 측정한 입자상 무기이온 성분의 농도를 통하여 입자 특성을 파악하고자 하였다. (중략)

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 추계학술대회 초록집
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• pp.56.1-56.1
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• 2011

The solar and meteorological resources map is calculated using by one-layer solar radiation model (GWNU model), satellites data and numerical model output on the Korean peninsula. The Meteorological input data to perform the GWNU model are retrieved aerosol optical thickness from MODIS (TERA/AQUA), total ozone amount from OMI (AURA), cloud fraction from geostationary satellites (MTSAT-1R) and temperature, pressure and total precipitable water from output of RDAPS (Regional Data Assimilation and Prediction System) and KLAPS (Korea Local Analysis and Prediction System) model operated by KMA (Korea Meteorological Administration). The model is carried out every hour using by the meteorological data (total ozone amount, aerosol optical thickness, temperature, pressure and cloud amount) and the basic data (surface albedo and DEM). And the result is analyzed the distribution in time and space and validated with 22 meteorological solar observations. The solar resources map is used to the solar energy-related industries and assessment of the potential resources for solar plant. The National Institute of Meteorological Research in KMA released $4km{\times}4km$ solar map in 2008 and updated solar map with $1km{\times}1km$ resolution and topological effect in 2010. The meteorological resources map homepage (http://www.greenmap.go.kr) is provided the various information and result for the meteorological-solar resources map.

• 한국입자에어로졸학회지
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• 제20권1호
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• pp.1-11
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• 2024

Children are vulnerable to bad indoor air quality, and many researches on indoor air quality have been done with various methodologies. Herein, we used the genetic algorithm, one of the optimization methods, for the analysis based on better estimation values that are not easy to measure. A children playroom and a Taekwondo gym were chosen for the different degree of physical activity. After estimation of the number of occupants, the generation degree of CO2 and PM2.5 were determined from the data of the indoor air quality monitors. Relative errors were below 1% for all cases. Due to many air-treating electronics, the PM2.5 in the children playroom was well-managed compared to that in the Taekwondo gym. The PM2.5-generating activities were calculated and that of the Taekwondo gym was higher than that of the children playroom. The PM2.5 generating values were on the positive relationship with CO2 generating values. This means that we can obtain meaningful information from limited measurement data. For the numerous children facilities, indoor air quality can be easily analyzed and this might contribute to enhancing the children health.

• Asian Journal of Atmospheric Environment
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• 제11권4호
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• pp.300-312
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• 2017

To improve the understanding of secondary organic aerosol (SOA) formation from the photo-oxidation of anthropogenic and biogenic precursors at the regional background station on Baengnyeong Island, Korea, gas phase and aerosol chemistries were investigated using the Proton Transfer Reaction Time of Flight Mass Spectrometer (PTR-ToF-MS) and the Aerodyne High Resolution Time of Flight Aerosol Mass Spectrometer (HR-ToF-AMS), respectively. HR-ToF-AMS measured fine particles ($PM_1$; diameter of particle matter less than $1{\mu}m$) at a 6-minute time resolution from February to November 2012, while PTR-ToF-MS was deployed during an intensive period from September 21 to 29, 2012. The one-minute time-resolution and high mass resolution (up to $4000m{\Delta}m^{-1}$) data from the PTR-ToF-MS provided the basis for calculations of the concentrations of anthropogenic and biogenic volatile organic compounds (BVOCs) including oxygenated VOCs (OVOCs). The dominant BVOCs from the site are isoprene (0.23 ppb), dimethyl sulphide (DMS, 0.20 ppb), and monoterpenes (0.38 ppb). Toluene (0.45 ppb) and benzene (0.32 ppb) accounted for the majority of anthropogenic VOCs (AVOCs). OVOCs including acetone (3.98 ppb), acetaldehyde (2.67 ppb), acetic acid (1.68 ppb), and formic acid (2.24 ppb) were measured. The OVOCs comprise approximately 75% of total measured VOCs, suggesting the occurrence of strong oxidation processes and/or long-range transported at the site. A strong photochemical aging and oxidation of the atmospheric pollutants were also observed in aerosol measured by HR-ToF-AMS, whereby a high $f_{44}:f_{43}$ value is shown for organic aerosols (OAs); however, relatively low $f_{44}:f_{43}$ values were observed when high concentrations of BVOCs and AVOCs were available, providing evidence of the formation of SOA from VOC precursors at the site. Overall, the results of this study revealed several different SOA formation mechanisms, and new particle formation and particle growth events were identified using the powerful tools scanning mobility particle sizer (SMPS), PTR-ToF-MS, and HR-ToF-AMS.

• 대한지리학회지
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• 제48권4호
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• pp.497-508
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• 2013

본 연구의 목적은 기후요소와 대기 에어로졸이 한반도 식물계절학적 특성에 미치는 영향을 위성자료 분석을 통해 규명하는 것이다. 매일 관측되는 위성관측 자료의 분석을 통해 지표관측이 갖는 식물계절학적 연구상의 시계열적 한계를 극복하고자 하였다. 연구결과에 따르면, 분석된 4개의 주요 산림생태계 중 상록수림, 낙엽수림, 초지는 서로 유사한 식물계절학적 특성을 보인 반면, 혼합림의 생장 패턴의 연도별변화는 상이하게 나타났다. 식생지수(VI)의 연중 진폭이 큰 삼림은 VI 연중 최대치에 보다 빨리 도달하는 것으로 조사되었지만, 동일 삼림생태계 내에서는 시계열적인 관련성이 나타나지 않았다. 식생지수의 위상(phase)은 VI 최대치가 관측되는 연중 시점을 의미하는데, 기온의 변화와 강한 상관성을 보였다. 에어로졸 광학두께(AOT)의 시계열변화는 연도별 변화뿐만 아니라 계절적 특징을 강하게 나타내었다. 일반적으로, 에어로졸 농도는 늦봄부터 초여름에 걸쳐 가장 높게 나타났다. 하지만 AOT의 연도별변화 패턴은 진폭과 위상 변화 측면에서 식생지수와 통계적으로 강한 상관관계를 보이지 않았다. 단지, AOT의 연중 진폭(amplitude)이 식생지수의 진폭과 미약한 상관관계를 보인 결과로 볼 때, 전반적인 에어로졸의 농도 변화가 식생활동에 영향을 미칠 개연성이 있다고 판단된다.

• 대한원격탐사학회지
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• 제38권5_1호
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• pp.647-660
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• 2022

이 단보에서는 농림위성(차세대 중형위성 4호)에 적합한 대기보정 기법 개발을 위하여, 농림위성과 공간 및 분광 해상도가 유사한 Sentinel-2 영상을 이용한 대기보정 결과를 소개하고자 한다. 대부분의 연구에서 동일한 조건에 대하여 상이한 Aerosol Optical Depth (AOD) 자료를 사용한 결과를 비교한 사례는 찾아보기 힘들다. 따라서 향후 농림위성의 대기보정에 사용될 Geo-Kompsat 2A (GK2A) Advanced Meteorological Imager (AMI)와 Aerosol Robotic Network (AERONET) AOD 입력자료를 기반으로 Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH), Sen2Cor, Second Simulation of the Satellite Signal in the Solar Spectrum - Vector (6SV) 버전 1.1과 2.1 모델의 대기보정 결과를 비교하였다. 모델 간 반사도 상관행렬이나 Normalized Difference Vegetation Index (NDVI) 결과를 고려해 볼 때, 6SV2.1이 보다 안정적인 모델로 사료된다.

• 한국대기환경학회지
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• 제17권6호
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• pp.487-492
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• 2001

In this technical information, the springtime TSP measurement data between 1993 and 1996 at Kosan are presented. Based on the data, it was found that the concentrations of crustal species increase when Yellow Dust phenomenon occurs. Among anthropogenic species, the concentration of Pb and NO$_3$$^{[-10]}$ increase when Yellow Dust phenomenon occurs. Further research agenda are discussed to study the effects of Yellow Dust.

• Safety and Health at Work
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• 제11권1호
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• pp.61-70
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• 2020

Background: This study aims to assess whether the TSI PortaCount (Model 8020) is a measuring instrument comparable with the flame photometer. This would provide an indication for the suitability of the PortaCount for determining the workplace protection factor for particulate filtering facepiece respirators. Methods: The PortaCount (with and without the N95-Companion^TM) was compared with a stationary flame photometer from Moores (Wallisdown) Ltd (Type 1100), which is a measuring instrument used in the procedure for determining the total inward leakage of the particulate filtering facepiece respirator in the European Standard. Penetration levels of sodium chloride aerosol through sample respirators of two brands (A and B) were determined by the two measuring systems under laboratory conditions. For each brand, thirty-six measurements were conducted. The samples were split into groups according to their protection level, conditioning before testing, and aerosol concentration. The relationship between the gauged data from two measuring systems was determined. In addition, the particle size distribution inside the respirator and outside the respirator was documented. Linear regression analysis was used to calculate the association between the PortaCount (with and without the N95-Companion^TM) and the flame photometer. Results: A linear relationship was found between the raw data scaled with the PortaCount (without N95-Companion^TM) and the data detected by the flame photometer (R² = 0.9704) under all test conditions. The distribution of particle size was found to be the same inside and outside the respirator in almost all cases. Conclusion: Based on the obtained data, the PortaCount may be applicable for the determination of workplace protection factor.