• Asian Journal of Atmospheric Environment
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• 제9권1호
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• pp.39-47
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• 2015

The emissions of ozone precursors, NOx and VOCs from a biogenic source and port-related sources (ship, shipping container truck, and cargo handling equipment) were estimated in Busan during 2013. Total biogenic isoprene emission in Busan during 2013 was estimated to be $4,434ton\;yr^{-1}$ with the highest emission (e.g., $28ton\;day^{-1}$) in summer using a BEIS method. Seasonal ozone production rates by isoprene ranged from 0.15 (winter) to 2.08 (summer) $ppb\;hr^{-1}$, contributing the predominant portion to ambient ozone levels. Total emissions of NOx and VOCs from ship traversing Busan ports were estimated to be 29,537 and $814ton\;yr^{-1}$, respectively, showing the significant contribution to total NOx emission in Busan. The emissions of ozone precursors were significantly different depending on ship tonnage and port location. Compared to the ship emission, the emissions of NOx and VOCs from the shipping container trucks in Busan were insignificant (2.9% for NOx and 3.9% for VOCs). Total NOx and VOCs emissions from the cargo handling equipment were estimated to be 1,440 and $133ton\;yr^{-1}$, respectively with the predominance of yard tractors.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2001년도 추계학술대회 논문집
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• pp.71-72
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• 2001

지난 20여년동안 정부에서 다양한 대기오염관리 정책을 시행한 결과 먼지, 이산화황 등의 오염도는 상당히 감소하였으나, 오존의 경우에는 아직도 오염도가 개선되지 않고 있다. 오존오염도를 개선하기 위해서는 먼저 전구물질인 질소산화물과 VOCs에 대한 배출현황이 파악되어야 하는데, 우리나라의 경우 아직 배출분야의 연구가 미흡한 실정이다. 특히 VOCs의 경우, 외국의 선행연구에 의하면 인위적인 배출원 뿐만 아니라 식생에 의해서도 많은 양이 배출되는 것으로 알려져 있다. (중략)

• 한국대기환경학회지
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• 제22권1호
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• pp.145-151
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• 2006

As the concerns about indoor air quality (IAQ) increase in recent years, lots of research works are under way to investigate the influence of volatile organic compounds (VOCs) emitted from building products on the IAQ. One of the regulations for the IAQ is the level of total VOCs (TVOCs) from building products, assuming that the TVOCs are suspected to cause many health problems such as skin irritation, asthma, and allergy. However, the presence of biogenic VOCs, or natural VOCs (NVOCs) is believed to be beneficial to human health. Therefore, this study attempted to investigate chemical species and the NVOCs compositions of solid lumbers from different wood species. It was found that major VOC components were monoterpenes such as $\alpha$-pinene, $\beta$-pinene, d-limonene, camphene, $\alpha$-terpinene, $\gamma$-terpinene etc.

• 한국대기환경학회지
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• 제18권6호
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• pp.515-525
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• 2002

A field study was conducted to estimate the emission rate of biogenic volatile organic compounds (BVOCs) from pine trees. In addition, the influences of meteological variables on their distribution characteristics have been investigated. A vegetation enclosure chamber was designed and constructed of Tedlar bag and acril. Sorbent tubes made up of Tenax TA and Carbotrap were used to collect biogenic VOCs emitted from each individual tree. Analysis of BVOCs was performed using a GC-FID system. The fundamental analytical parameters including linearity, retention time, recovery efficiency, and breakthrough volume were examined and verified for the determination of monoterpene emission rates. Total average concentration of each component is found to be $\alpha$-pinene (16.5), $\beta$-pinene (4.61) from pine trees, and $\alpha$-pinene (42.4), $\beta$-pinene (18.7 ng(gdw)$^{-1}$ hr$^{-1}$ ) from Korean pine trees. On the basis of our study, $\alpha$-pinene was found to be the major monoterpene emitted from both pine and Korean pine trees which were accompanied by $\beta$-pinene, camphene, and limonene. In ambient air, variable monoterpene compositions of emissions from pine trees were similar to Korean pine trees. Emission rates of monoterpene from each tree were found to depend on such parameters as temperature and solar radiation.

• 한국대기환경학회지
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• 제22권1호
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• pp.85-97
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• 2006

The PAMS data collected at four sites in Seoul metropolitan area in 2004 were analyzed using the positive matrix factorization (PMF) technique, in order to identify the possible sources and estimate their contributions to ambient VOCs. Ten sources were then resolved at Jeongdong, Bulgwang, Yangpyeong, and Seokmo, including vehicle exhaust, LPG vehicle, petroleum evaporation, coating, solvent, asphalt, LNG, Industry & heating, open burning, and biogenic source. The PMF analysis results showed that vehicle exhaust commonly contributed the largest portion of the predicted total VOCs mass concentration, more than $30\%$ at four sites. The contribution of other resolved sources were significantly different according to the characteristics of site location. In the case of Jeongdong and bulgwang located in urban area, various anthropogenic sources such as coating, solvent, asphalt, residual LPG, and petroleum evaporation contributed about $40\%$ of total VOCs mass. On the other hand, at yangpyeong and Seokmo located in rural and remote area, the portion of these anthropogenic sources was reduced to less than $30\%$ and the contribution of natural sources including open burning and biogenic source clearly observed. These results were considerably corresponding to the emission inventory investigated in this region.

• 한국대기환경학회지
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• 제22권5호
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• pp.661-678
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• 2006

Products developed in this research is a software which can transfer the type of shape(.shp) into the type of ascii using the land cover data and the topography data in the metropolitan area of Seoul. In addition, it can calculate the $CO_2$ flux according to distribution of plants within the land cover data. The $CO_2$ flux is calculated by the experimental equation which is compose of the meteorological parameters such as the solar radiation and the air temperature. The net flux was shown in about $-19ton/km^2$ by removing $CO_2$ through the photosynthesis during daytime, and in 2 ton/km2 by producing it through the respiration during nighttime on 10 August 2004, the maximum day of air temperature during the period of 3yr(2001 to 2004), in the metropolitan area of Seoul. Spatial distribution of the air temperature and the wind field is simulated by substituting the middle classification of the land cover map data, upgraded by the Korean Ministry of Environment(KME), for the land-use data of the United States Geological Survey(USGS) within the Meteorological Mesoscale Model Version 5(MM5) on 10 August 2006 in the metropolitan area of Seoul. Difference of the air temperature between both data was shown in the maximum range of $-2^{\circ}C\;to\;2.9^{\circ}C$, and the air temperature due to the land use data of KME was higher than that of USGS in average $0.4^{\circ}C$. Also, those of wind vectors were meanly lower than that of USGS in daytime and nighttime. Furthermore, the hourly time series of Volatile Organic Components(VOCs) is calculated by using the Biosphere Emission and Interaction System Version 2(BEIS2) including the new land cover data and the meteorological parameters such as the air temperature and so]ar insolation. It is possible to calculate the concentration of ozone due to the biogenic emission of VOCs.

• 대한환경공학회지
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• 제33권9호
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• pp.644-655
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• 2011

부산광역시에서 운영하고 있는 VOCs 자동측정망에서 실시간 분석되고 있는 데이터를 이용 감전동과 장림동에 대한 환경대기 중의 VOCs 특징 및 발생원을 규명하고자 하였다. 사상구 감전동과 사하구 장림동은 국가 공단 내에 위치하고 있어, 인근 지역에 소재하고 있는 공장의 영향을 많이 받은 것으로 조사되었다. 감전동 지역에 영향을 줄 수 있는 배출원 및 그 배출원의 기여도를 추정하기 위하여 PMF 모델을 수행한 결과 분류된 배출원과 그 기여도는 유기용제(29.83%), 표면 코팅(17.13%), 차량 배기가스(15.22%), 압축기의 윤활유와 세탁시설(13.95%), LPG 차량(15.22%), 난방연소(7.11%) 및 자연적 배출원(6.61%)로 나타났다. 특히 유기용제와 표면코팅이 가장 큰 기여도를 나타내었는데 이는 감전동에 위치한 많은 제조공장과 자동차 정비시설의 영향과 사상구에 위치한 유기용제 및 페인트 제조공장의 영향에 기인한 것으로 판단되어 진다.

• 한국농림기상학회지
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• 제25권1호
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• pp.48-59
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• 2023

본 연구에서는 새롭게 개발된 식생의 BVOCs 배출계수를 기반으로 MEGANv2.1을 구동 후 BVOCs 배출량을 산출하여 질소산화물과의 결합을 통해 대류권 오존농도에 어떠한 영향을 미치는지 분석하고 그에 대한 신뢰성을 검토하고자 한다. BVOCs 대상물질은 이소프렌(Isoprene)과 모노테르펜(Monoterpenes)으로 한정하였고, 모델링 도메인의 공간적 범위는 남한지역을 포함하는 한반도의 남부(위도 : 32.8N~39.3N, 경도 : 123.4E~130.9E)와, 시간은 2008년 5월 1일부터 6월 30일까지를 대상으로 하였다. 식생 BVOCs 배출 모델의 입력자료를 생성하기 위해 토지피복 자료는 MODIS (MODerate resolution Imaging Spectroradiometer)의 MCD12Q1 (Land Cover type 5, PFT)와 환경부의 중분류 토지피복도를 사용하였고, 엽면적지수 자료는 MODIS의 MCD15A2를 사용하였다. 또한, 인위적 활동에 의한 배출량을 산출하기 위해 사용된 모델은 SMOKE-Asia 1.20 버전(Woo et al., 2009)이며, 오존농도를 모의하기 위해 CAMx v6.0 모델을 사용하였다. 연구의 진행은 1) 기존에 우리나라에서 측정된 식생 배출 값들을 조사하여 새로운 식생 배출계수를 BVOCs 배출모델에 적용하고, 2) GIS S/W을 이용하여 식생 배출모델(MEGAN)에 사용되는 입력자료를 생성하고, 3) MEGANv2.1을 구동하여 식생 배출량을 산출하고, 4) 인위적 배출을 산출하는 모델(SMOKE-Asia)을 구동하여 나온 인위적 배출량과 식생 배출량을 결합하여 대기화학 수송 모델(CAMx)의 입력자료로 사용하고, 5) 대기화학 수송 모델에서 구동된 오존농도의 결과 값을 실제 측정 값과 비교하여 식생 배출량 결과의 적정성에 대해 검토하였다. CAMx 모델을 통해 5개의 시나리오(인위적+식생 VOCs 배출 시나리오 4개 : A, B, C, D / 인위적 VOCs 배출 시나리오 1개 : E)에 대해 오존 생성농도를 비교한 결과, 본 연구에서 새롭게 적용한 식생 배출계수와 MODIS PFT를 사용한 시나리오 C에서 오존농도가 가장 높게 모의되었고, 인위적 VOCs 배출만을 고려한 시나리오 E보다 지역별로는 최대 53ppb, 도메인 평균으로는 2ppb 정도 높게 오존농도를 모의하고 있었다. 배출계수와 토지피복지도의 변화로 인한 오존농도의 차이 중에서는 배출계수의 변화로 인한 오존농도의 변화가 더 큰 것으로 확인되었다. 오존농도에 대해 모델링한 결과를 6개 도시지역의 오존 측정망 값과 비교한 결과, 자연적 VOCs 배출량이 상대적으로 작은 대도시와 주변 도시지역에서는 시나리오에 따른 모델과 측정 값과의 결정계수 값의 변화가 작게 나타났고, 자연적 VOCs 배출량이 높은 중소 도시지역에서는 시나리오에 따른 모델과 측정 값과의 결정계수 변화가 높게 나타났다.

• 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.

• 한국토양비료학회지
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• 제44권6호
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• pp.1226-1231
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• 2011

The biogenic emission of the atmospheric volatile organic compounds (VOCs) from the forests is dominated by monoterpenes. This study investigated the changes in the concentration of monoterpenes distributed in various types of forest near the Gangwon Nature Environment Research Park, Hongcheon, Gangwon Province, Korea. Samples were collected from the three sites of different types of forest, including coniferous, broad-leaved and mixed forests. Additionally, the seasonal and daily changes of monoterpene compounds were monitored. Our results found the several types of monoterpene such as ${\alpha}$-pinene, ${\beta}$-pinene, camphene, d-limonene, p-cymene and ${\alpha}$-terpinene. The highest total concentration of terpene compounds was observed in the coniferous forest. For the summer season, the total concentration of terpene compounds was highest in coniferous and mixed forests, and that was also highest in broad-leaved forest for the autumn.