• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.141-150
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• 2021

Fine dust is a substance that greatly affects human health, and various studies have been conducted in this regard. Due to the human influence of particulate matter, various studies are being conducted to predict particulate matter grade using past data measured in the monitoring network of Seoul city. In this paper, predictive model have focused on particulate matter concentration in May, 2019, Seoul. The air pollutant variables were used to training such as SO₂, CO, NO₂, O₃. The predictive model based on Adaboost, and training model was dividing PM₁₀ and PM_2.5. As a result of the prediction performance comparison through confusion matrix, the Adaboost model was more conformable for predicting the particulate matter concentration grade. Although air pollutant variables have a higher correlation with PM2.5, training model need to train a lot of data and to use additional variables such as traffic volume to predict more effective PM₁₀ and PM_2.5 distribution grade.

• Journal of Environmental Science International
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• v.24 no.6
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• pp.785-792
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• 2015

This study investigates weekday/weekend characteristics of $PM_{10}$ concentration and chemical composition of water-soluble ions in Busan in the spring of 2013. Contribution rate of water-soluble ions to PM10 concentration in weekday/weekend were 41.5% and 38.5%, respectively. Contribution rate of SO_4{^{2-}}$ to total ion mass in weekday/weekend were 30.4% and 33.8%, respectively. Contribution rate of total inorganic water-soluble ions in PM10 in weekday/weekend were 42.2% and 39.1% (mean 41.4%), respectively. $[NO_3{^-}/SO_4{^{2-}}]$ ratio in weekday/weekend were 1.01 and 0.97(mean 0.99), respectively, which indicated that weekday ratio was higher. Contribution rate of sea salts and $Cl^-/Na^+$ ratio in PM10 in weekday/weekend were 8.1% and 7.6%, 0.37% and 0.41%, respectively. This research will help understand chemical composition of water-soluble ions during the weekday/weekend and will be able to measure the contribution level of artificial anthropogenic source on urban air.

• Journal of the Health Care and Life Science
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• v.9 no.2
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• pp.231-235
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• 2021

This study collects and provides environmental data related to weather by measuring the concentration levels of fine dust at different altitudes, with the aim of forecasting fine dust concentration changes, particularly in the areas where the vulnerable reside. Institutions in the healthcare-related fields can use the real-time data on the changing fine dust concentration, which is collected through different combinations of various measuring devices and drone technologies, which have recently developed at a rapid pace. The study first collects data on the following: PM1 (fine dust particles <1 ㎛ in size), PM2.5 (fine dust particles <2.5 ㎛ in size), and PM10 (fine dust particles <10 ㎛ in size) and predicts respective changes and suggests data on various high levels. The device that was used in the study measured fine dust concentration, humidity, temperature, atmospheric pressure, carbon dioxide, total volatile organic compounds (TVoc), and formaldehyde.

• Korean Journal of Food Science and Technology
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• v.30 no.2
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• pp.397-406
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• 1998

Hen egg white lysozyme (HEWL) is very valuable as a natural preservative in food processing due to its selective bactericidal activity. HEWL which traditionally isolated by crystallization or freeze drying was simply separated from 13 different hen egg white (HEW) proteins by a single-step ultrafiltration. Freeze dried HEW (0.25%, w/v) dissolved in a citrate-phosphate buffer (pH 4.6) was ultrafiltered with a PM30 membrane under various operating conditions, by changing concentration, temperature, transmembrane pressure $({\triangle}P_T)$, and stirring speed. Optimum separation conditions were decided when maximal flux was obtained. Under the optimum separation conditions, the effect of membrane material and fouling on flux as time passed as well as lysozyme concentration, protein concentration, specific activity (SA) in the permeate were measured. Best separation conditions of HEWL with PM30 membrane were sample concentration 0.25%, temperature $35^{\circ}C$, ${\Delta}P_T\;30\;psi$, and stirring speed 300 rpm. During the first 12 min, the flux of YM30 was higher, but at the steady-state it was lower than that of PM30. The SA of the PM30 permeate was over 2 times higher in spite of the lysozyme and protein concentration being lower than that of YM30 permeate. The flux of 5 times used PM30 decreased 30% compared to a new PM30, but both had the same tendency in flux decrease when time passed. Both of them reached a steady-state after 35 min and remained at 70% of the initial flux. In the PM30 permeate, the lysozyme concentration and SA were 110 units/mL and 2,821 units/mg protein, respectively. Therefore, PM30 membrane separation was very effective for separation of antimicrobial lysozyme.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1267-1276
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• 2020

To quantitatively predict the impacts of large-scale volcanic eruptions of Mt. Baekdu on air quality and damage around the Korean Peninsula, a three-dimensional chemistry-transport modeling system (Weather Research & Forecasting - Sparse Matrix Operation Kernel Emission - Comunity Multi-scale Air Quality) was adopted. A worst-case meteorology scenario was selected to estimate the direct impact on Korea. This study applied the typical worst-case scenarios that are likely to cause significant damage to Korea among worst-case volcanic eruptions of Mt. Baekdu in the past decade (2005~2014) and assumed a massive VEI 4 volcanic eruption on May 16, 2012, to analyze the concentration of PM_2.5 caused by the volcanic eruption. The effects of air quality in each region-cities, counties, boroughs-were estimated, and vulnerable areas were derived by conducting an exposure assessment reflecting vulnerable groups. Moreover, the effects of cities, counties, and boroughs were analyzed with a high-resolution scale (9 km × 9 km) to derive vulnerable areas within the regions. As a result of analyzing the typical worst-case volcanic eruptions of Mt. Baekdu, a discrepancy was shown in areas between high PM_2.5 concentration, high population density, and where vulnerable groups are concentrated. From the result, PM_2.5 peak concentration was about 24,547 ㎍/㎥, which is estimated to be a more serious situation than the eruption of Mt. St. Helensin 1980, which is known for 540 million tons of volcanic ash. Paju, Gimpo, Goyang, Ganghwa, Sancheong, Hadong showed to have a high PM_2.5 concentration. Paju appeared to be the most vulnerable area from the exposure assessment. While areas estimated with a high concentration of air pollutants are important, it is also necessary to develop plans and measures considering densely populated areas or areas with high concentrations of susceptible population or vulnerable groups. Also, establishing measures for each vulnerable area by selecting high concentration areas within cities, counties, and boroughs rather than establishing uniform measures for all regions is needed. This study will provide the foundation for developing the standards for disaster declaration and preemptive response systems for volcanic eruptions.

• Korean Journal of Remote Sensing
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• v.32 no.5
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• pp.413-421
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• 2016

In this study, correlations between Moderate Resolution Imaging Spectroradiometer (MODIS) derived Aerosol Optical Depth (AOD) values and surface-level $PM_{2.5}$ concentrations at Gosan, Korea have been investigated. For this purpose, data from various instruments, such as satellite, sunphotometer, Optical Particle Counter (OPC), and Micro Pulse Lidar (MPL) on 14-24 October 2009 were used. Direct comparison between sunphotometer measured AOD and surface-level $PM_{2.5}$ concentrations showed a $R^2=0.48$. Since the AERONET L2.0 data has significant number of observations with high AOD values paired to low surface-level $PM_{2.5}$ values, which were believed to be the effect of thin cloud or Asian dust. Correlations between MODIS AOD and $PM_{2.5}$ concentration were increased by screening thin clouds and Asian dust cases by use of aerosol profile data on Micro-Pulse Lidar Network (MPLNet) as $R^2$ > 0.60. Our study clearly demonstrates that satellite derived AOD is a good surrogate for monitoring atmospheric PM concentration.

• Journal of the Korean earth science society
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• v.34 no.7
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• pp.693-710
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• 2013

This study investigates the distribution of suspended particulates during the Asian dust period in Busan, Korea in the spring of 2009. Weather map and automatic weather system (AWS) data were used to analyze the synoptic weather conditions during the period. Particulate matter 10, laser particle counter data, satellite images and a backward trajectories model were used to analyze the aerosol particles distribution and their origins. In Case 1 (20 February 2009), when the $PM_{10}$ concentration increased, the aerosol volume distribution of small ($0.3-1.0{\mu}m$) particles decreased, while the concentration of large ($1.0-10.0{\mu}m$) particles increased. When the $PM_{10}$ concentration decreased, the aerosol volume distribution was observed to decrease as well. The prevailing winds changed from weak northerly winds to strong southwesterly winds when the concentration of the large particles increased. The correlation coefficient between the $PM_{10}$ concentration and aerosol volume distribution of large particles showed a high positive value of over 0.9. The results from the trajectory model show that the Asian dust originated in the Gobi desert and the Nei Mongol plateau. In Case 2 (25 April 2009), when the $PM_{10}$ concentration increased, the aerosol volume concentration of small ($0.3-0.5{\mu}m$) particles decreased, but the concentration of large ($0.5-10.0{\mu}m$) particles increased. The opposite was observed when the $PM_{10}$ concentration decreased. The prevailing winds changed from northeasterly winds to southwesterly and northeasterly winds. The correlation coefficient between the $PM_{10}$ concentration and aerosol volume distribution of large particles ($1.0-10.0{\mu}m$) showed a high positive value of about 0.9. The results from the trajectory model show that the Asian dust originated in Manchuria and the eastern coast of China.

• Biomolecules & Therapeutics
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• v.22 no.1
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• pp.78-81
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• 2014

Irinotecan suppository was prepared using the moulding method with a homogeneous blend. A sensitive and specific fluorescence method was developed and validated for the determination of irinotecan in plasma using HPLC. The pharmacokinetics of intravenous administered and rectal administered in rabbits was investigated. Following a single intravenous dose of irinotecan (50 mg/kg), the plasma irinotecan concentration demonstrated a bi-exponential decay, with a rapid decline over 15 min. $C_{max}$, $t_{1/2}$, $AUC_{0-30h}$ and $AUC_{0-{\infty}}$ were $16.1{\pm}2.7g/ml$, $7.6{\pm}1.2h$, $71.3{\pm}8.8{\mu}g{\cdot}h/ml$ and $82.3{\pm}9.5{\mu}g{\cdot}h/ml$, respectively. Following rectal administration of 100 mg/kg irinotecan, the plasma irinotecan concentration reached a peak of $5.3{\pm}2.5{\mu}g/ml$ at 4 h. The $AUC_{0-30h}$ and $AUC_{0-{\infty}}$ were $32.2{\pm}6.2{\mu}g{\cdot}h/ml$ and $41.6{\pm}7.2{\mu}g{\cdot}h/ml$, respectively. It representing ~50.6% of the absolute bioavailability.

• Journal of Environmental Science International
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• v.14 no.5
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• pp.491-497
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• 2005

In this study, we investigated $PM_{10},\;NO_2$, and l-hydroxypyrene(1-OHP) in urine at indoor environments which are 35 houses and 20 hospitals for using air cleaner and non-using air cleaner in Seoul metropolitan area and Kyoung-gi province from April, 2003 to February, 2004. Moreover, we examined effect of improvement for indoor air quality and health effect by concentration of 1-OHP also we investigated removal efficiency by air cleaner for $PM_{10},\;NO_2$, and 1-OHP that were 28.5\%,\;27.4\%,\;and\;42.1\%$ respectively. Concentration of$PM_{10},\;NO_2$, and 1-OHP were $19.02\pm18.14{\mu}g/m^3,\;8.66\pm3.06ppb,\;and\;0.19\pm0.18{\mu}g/g$, creatinine when air cleaner was no worked. The concentration for $PM_{10},\;NO_2$. and 1-OHP were $13.60\pm10.79{\mu}g/m^3,\; 6.29\pm2.71ppb,\;and\;0.11\pm0.10{\mu}g/g$ creatinine, respectively. It was significant statistically. Therefore, it is considered using the air cleaner to remove the partial pollutants in indoor environment and is positive effect for health.

• Journal of environmental and Sanitary engineering
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• v.17 no.2
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• pp.71-78
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• 2002

This study was conducted to evaluate the concentration distribution characteristics of air pollutants by the yellow sand from China. The concentrations and chemical properties of FPM contained in the yellow sand were compared with those of air pollutants when having no yellow sand in order to estimate the variation characteristics and the originated source of air pollutants moved by yellow sand. The concentrations of PM-2.5 and PM-10 contained in the yellow sand showed an increase of 2.3 to 2.7 times than usual, and the concentrations of NO2 and SO2 in the gaseous pollutants showed an increase of about 1.6 times by yellow sand, and thus the air contamination was much influenced by yellow sand phenomenon. The concentrations of inorganic elements contained in FPM from the yellow sand showed a higher concentration variation in the order of Al>Mg>Zn>Pb than usual. The concentration coefficient of air aerosol during the yellow sand period showed that Na, K, Ca, Mg and Fe were originated from natural source, and Pb, Cr, Cd, Cu and Zn were originated from artificial source for inorganic elements. The correlation analysis between FPM and inorganic elements showed in the descending order of Al>K>Pb>Mg, and thus the deposited amount of Pb was influenced by that of yellow sand. The average concentrations of PM-10 measured during the yellow sand period exceeded the Korea Air Environmental Standard and showed a excess rate of 3.4 times in the maximum but the average concentrations of PM-2.5 showed within the United States Air Environmental Standard.