• Asian Journal of Atmospheric Environment
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• v.9 no.1
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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.

• Journal of Environmental Health Sciences
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• v.27 no.4
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• pp.51-62
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• 2001

Geometric mean of airborne welding fume concentration at technical high schools was 4.80mg/㎥)N.D~35.39 mg/ ㎥ and the percentage of samples exceeded TLV of the Korean ministry of labor was 43.6%, Geometric mean of airborne Mn concentration was 0.06 mg/㎥(N.D~0.42mg/㎥) and the percentage of samples exceeded TLV of ACGIH was 15.4 % In case of airborne Me concentration, there is a significant difference among schools (p<0.05) Mn concentrations in blood of the exposed and control groups were 1.84$\mu\textrm{g}$/dl and 1.91 mg/dl respectively. Mn concentrations in urine of the exposed and control groups were 1.36$\mu\textrm{g}$/ιand 0.57$\mu\textrm{g}$/ι respectively. In case of Mn concentrations in urine there is a significant difference between both groups(P<0.001) and among schools(p<0.05) Mn concentrations in blood and urine of exposed group were not over BEIs of the Korean ministry of labor. Mn levels in blood and urine were not significantly affected by smoking, drinking and residence, There was no correlation between Mn concentration in air and blood but there was a statistically significant correlation between Mn concentration in air urine(r=0.323). There was no a statistically significant correlation between Mn concentration in blood and urine.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.6
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• pp.751-771
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• 2011

Biogenic Volatile Organic Compound (BVOC) emissions are estimated with BEIS3.12 (Biogenic Emissions Inventory System version 3.12) over the Seoul Metropolitan Area (SMA) and then used in CMAQ (Community Multiscale Air Quality) simulations for two high ozone episodes in 2004 and 2007 June. The first- and second-order sensitivity coefficients of ozone to BVOC emissions are estimated with High-order Decoupled Direct Method (HDDM) simulation in order to estimate the influence of BVOC emissions on ozone using the Zero-Out Contribution (ZOC) approach. ZOC analysis shows that relative contribution of BVOC emissions on daily maximum 1-hr ozone is as high as 30% for high ozone days above 100 ppb. However simulated isoprene concentrations were over-estimated by a factor of 2 when compared to the observations at the PAMS (Photochemical Air Monitoring Station) for the 2007 episode. When assumed that actual BVOC emissions are 50% less than estimated, the ZOC of BVOC emissions on daily maximum ozone drops by more than 10 ppb for the episode. The result indicates that uncertainty in BVOC emissions may have significant impact on high ozone prediction in the SMA.

• Korean Journal of Head & Neck Oncology
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• v.35 no.2
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• pp.31-34
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• 2019

Lemierre's syndrome is rare disease characterized by anaerobic sepsis, internal jugular vein thrombosis, septic emboli that resulted from head and neck infection. Lemierre's syndrome has significant morbidity, so immediate, accurate diagnosis and treatment is needed. It is necessary to perform contrast-enhanced computed tomography (CT) for diagnosis. Systemic antibiotics is recommended, and surgical interventions, anticoagulation may beis considered for treatment. We report misdiagnosed case as a simple deep neck infection on initial ultrasonography with simultaneous abscess aspiration but finally diagnosed and treated internal jugular vein thrombophlebitis (Lemierre's syndrome) on CT scan. We report a case of a 45-year-old patient, who was diagnosed with a simple deep neck infection and treated with simultaneous abscess aspiration, but finally diagnosed and treated internal jugular vein thrombophlebitis (Lemierre's syndrome) on CT scan.

• Proceedings of the Korean Environmental Health Society Conference
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• 2002.04a
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• pp.37-39
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• 2002

Geometric mean of airborne welding fume concentration at technical high schools was 4.80mg/㎥(N.D∼35.39mg/㎥) and the percentage of samples exceeded TLV of the Korean ministry of labor was 43.6％, Geometric mean of airborne Mn concentration was 0.06mg/㎥(N.D∼0.42mg/㎥) and the percentage of samples exceeded TLV of ACGIH was 15.4％. In case of airborne Mn concentration, there is a significant difference among schools (P＜0.05). Mn concentrations in blood of the exposed and control groups were 1.84$\mu\textrm{g}$/㎗ and 1.91$\mu\textrm{g}$/㎗, respectively. Mn concentrations in urine of the exposed and control groups were 1.36$\mu\textrm{g}$/$\ell$ and 0.57$\mu\textrm{g}$/$\ell$, respectively. In case of Mn concentrations in urine, there is a significant difference between both groups(P＜0.001) and among schools(P＜0.05). Mn concentrations in blood and urine of exposed group were not over BEIs of the Korean ministry of labor. Mn levels in blood and urine were not significantly affected by smoking, drinking and residence. There was no correlation between Mn concentration in air and blood, but there was a statistically significant correlation between Mn concentration in air and urine(r=0.323). There was no a Statistically significant correlation between Mn concentration in blood and urine.

• Safety and Health at Work
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• v.10 no.1
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• pp.103-108
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• 2019

Background: This study was designed to provide logical backgrounds for the revision of biological exposure indices (BEIs) for styrene exposure in Korea. In order to investigate the correlation between airborne styrene and biological exposure indices, we measured urinary mandelic acid (MA) and phenylglyoxylic acid (PGA) in workers exposed to styrene occupationally, as well as airborne styrene at workplaces. Methods: Surveys were conducted for 56 subjects. The concentrations of airborne styrene and urinary metabolites of styrene were measured in 36 workers who were occupationally exposed to styrene, and in 20 controls. Air samples were collected using personal air samplers and analyzed by gas chromatography. Urine samples were collected at the end of the shift and analyzed by high performance liquid chromatography. Results: The geometric mean concentration of airborne styrene was 9.6 ppm. The concentrations of urinary MA, PGA, and MA+PGA in the exposure group were 267.7, 143.3, and 416.8 mg/g creatinine, respectively. The correlation coefficients for correlation between airborne styrene and MA, PGA, and MA+PGA were 0.714, 0.604, and 0.769, respectively. The sum of urinary MA and PGA corresponding to an exposure of 20 ppm styrene was 603 mg/g creatinine. Conclusion: The correlation of the sum of urinary MA and PGA with airborne styrene was better than the correlation of each individual urinary determinant. It is considered appropriate to amend the concentration of urinary MA+PGA to 600 mg/g creatinine as a BEI, which corresponds to an airborne styrene concentration of 20 ppm in Korea.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.5
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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.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.1
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• pp.48-61
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• 2022

South Korea is quite vegetation rich country which has 63% forests and 16% cropland area. Massive NOx emissions from megacities, therefore, are easily combined with BVOCs emitted from the forest and cropland area, then produce high ozone concentration. BVOCs emissions have been estimated using well-known emission models, such as BEIS (Biogenic Emission Inventory System) or MEGAN (Model of Emission of Gases and Aerosol from Nature) which were developed using non-Korean emission factors. In this study, we ran MEGAN v2.1 model to estimate BVO Cs emissions in Korea. The MO DIS Land Cover and LAI (Leaf Area Index) products over Korea were used to run the MEGAN model for June 2012. Isoprene and Monoterpenes emissions from the model were inter-compared against the enclosure chamber measurements from Taehwa research forest in Korea, during June 11 and 12, 2012. For estimating emission from the enclosed chamber measurement data. The initial results show that isoprene emissions from the MEGAN model were up to 6.4 times higher than those from the enclosure chamber measurement. Monoterpenes from enclosure chamber measurement were up to 5.6 times higher than MEGAN emission. The differences between two datasets, however, were much smaller during the time of high emissions. More inter-comparison results and the possibilities of improving the MEGAN modeling performance using local measurement data over Korea will be presented and discussed.