• Journal of Soil and Groundwater Environment
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• v.28 no.6
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• pp.33-44
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• 2023

A risk assessment on the heavy metals including arsenic (As), cupper (Cu), lead (Pb), and zinc (Zn) was investigated by setting exposure routes in agricultural fields. Moreover, the factors requiring improvement in risk assessment were also discussed through a review of the dermal absorption slope factor (SF_abs) and total amount of suspended particles (TSP) in the current risk assessment guidelines. Assessment results show that the total cancer risk (TCR) of As through crop and soil ingestion was 1.51E-03 in adults and 6.37E-4 in children, which indicated a carcinogenic risk (exceeding 1E-05). On the other side, the harzard index (HI) was 3.37 in adults and 1.41 in children, which was evaluated as having a non-carcinogenic risk (>1). The carcinogenic purification targets for As were calculated to be 6.84 mg/kg in adults and 6.86 mg/kg in children, while the non-carcinogenic purification targets were calculated to be 13.43 mg/kg for adults and 22.54 mg/kg for children. When applying SF_abs 61 of the current guidelines, it appears that there is a carcinogenic risk even though the As exposure concentration is below the area of concern 1 standard (25 mg/kg), which suggestes that additional research on this factor is required for the risk assessment. In order to apply the measured suspended particle concentration to risk assessment, TSP should be derived from PM10 using an appropriate correlation equation. As a result, it is suggested to improve the risk assessment guidelines so that the mesured PM10 value measured in the field can be used directly.

• Journal of Environmental Health Sciences
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• v.35 no.4
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• pp.315-321
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• 2009

Under-fired charbroiling cooking processes are known as important contributors of particulate matter (PM). In this study, we characterized the emission of particulate matters from under-fired charbroiling cooking processes using the hood method. Accumulated mass concentration of $PM_{10}$ was 92.2~99.5% and particle size of 2.0~2.5 ${\mu}m$ was highest. The concentration of PM increased very sharply at the beginning of charbroiling meats and then gradually decreased as the charbroiling continued. PM concentration also increased very sharply when gravy from meat spilled onto the frame of fire. However, mass concentration during charbroiling using only charcoals was very low compared to that of meats. We estimated the emission factors of charcoal, pork belly and pork shoulder respectively; 0.01~0.02 g/kg, 5.02~6.26 g/kg, 2.86~4.15 g/kg of $PM_{2.5}$, 0.01~0.03 g/kg, 7.44~7.91 g/kg, 4.54~5.56 g/kg of $PM_{10}$, and 0.02~0.05 g/kg, 7.59~7.95 g/kg, 4.93~5.68 g/kg of TSP. The emission factors of charcoal were negligible and the emission factors of pork belly were higher than that of pork shoulder. Emission rates of particulate matters from under-fired charbroiling cooking process were estimated as 578,009~1,265,152 kg/yr of $PM_{2.5}$, 917,539~1,598,619 kg/yr of $PM_{10}$ and 996.358~1,606,703 kg/yr of TSP. But emission factors should be verified with an in-stack cascade impactor because the reported method involves some assumptions.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.2
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• pp.215-222
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• 2012

Purpose: This study was performed to investigate the influence of indoor air qualities of an office environment on dry eye syndrome for wearing contact lens and non-wearing contact lens. Methods: To study the effects of indoor air qualities on dry eye syndrome for seventy-one subjects, $CO_2$, temperature, humidity, TSP, PM10, HCHO were measured. Each subject was tested by a McMonnie's dry eye syndrome questionnaire, a Schirmer Tear Test-I (S.T.T-I), a Schirmer Tear Test-II with anesthetics (S.T.T-II), and Tear film break-up time (T.B.U.T) in the their offices. Results: There was significant relation between the indoor air quality and dry eye syndrome for wearing contact lens and non-wearing when TSP was over $200{\mu}g/m^3$, PM10 was higher than $86.7{\mu}g/m^3$ and Formaldehyde was over $0.4{\sim}1.0{\mu}g/m^3$. However, there was no significant effect on dry eye syndrome with $CO_2$ (p=.0146), temperature (p=0.074) and humidity (p=0.053). Conclusions: It was indicated that $CO_2$, temperature and humidity were no effect on dry eye syndrome in the office environment. However TSP, PM10, formaldehyde, and wearing contact lens were effect on dry eye syndrome. Therefore, the entire management of wearing contact lens and the individual evaluation of the indoor air quality are required.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.143-157
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• 2021

International organizations such as the World Health Organization, the Organization for Economic Development and Cooperation, and major developed countries recognize the seriousness of air pollution. International organizations such as the International Maritime Organization have also implemented various regulations to reduce air pollution from ships. In line with this international trend, the government has also enacted a special law on improving air quality in port areas, and is making efforts to reduce air pollution caused by ports. The purpose of the Special Act is to implement comprehensive policies to improve air quality in port areas. This study sought to identify the emissions of each source of air pollutants originating from the port and prepare basic data on setting the policy priorities. To this end, the analysis was conducted in six categories: ships, vehicles, loading and unloading equipment, railways, unloading/wild ash dust, road ash dust, and the methodology presented by the European Environment Agency(EEA) and the United States Environmental Protection Agency(EPA). The pollutants subject to analysis were analyzed for carbon monoxide(CO), nitrogen oxides (NOX), sulfur oxides(SOX), total airborne materials(TSP), particulate matter(PM10, PM2.5), and ammonia(NH3). The analysis showed a total of 7,122 tons of emissions. By substance, NOX accounted for the largest portion of 5,084 tons, followed by CO (984 tons), SOX (530 tons), and TSP (335 tons). By source of emissions, ships accounted for the largest portion with 4,107 tons, followed by vehicles with 2,622 tons, showing high emissions. This proved to be the main cause of port air pollution, with 57.6% and 36.8% of total emissions, respectively, suggesting the need for countermeasures against these sources.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.5
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• pp.601-614
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• 2013

The commercial charcoal kiln was projected the largest source of biomass burning sector in Korea. Commercial charcoal kiln was operated to emit air pollutants into the air without any air pollution prevention equipment. The object of this field survey was to understand characteristics of air pollutants concentration and emission factors and to provide preliminary data for effective processor from oak charcoal manufacturing process. As result of field survey, TSP, $PM_{10}$ and $PM_{2.5}$ concentration from charcoal kiln were 400~37,000 $mg/m^3$. These values were over the 100 $mg/m^3$ in TSP, this value was effluent quality standard of Clean Air Conservation Act. The average concentration of CO, $SO_2$ and TVOC were 2~5%. 0~110 ppm and 820~10,000 ppm respectively. The emission factors were 42.4 g-PM/kg-oak in TSP, 40.3 g-PM/kg-oak in $PM_{10}$, 38.2 g-PM/kg-oak in $PM_{2.5}$, 182.5 g-CO/kg-oak, 1.0 g-NO/kg-oak, $SO_2$ 0.2 g-$SO_2/kg$-oak and 104.4 g-TVOC/kg-oak. The part of commercial charcoal kiln had air pollution prevention equipment but it was difficult to work properly. Much wood tar excreted in exhaust emissions from oak charcoal manufacturing process. This wood tar was cause of many troubles sticking in the air pollutant prevention equipment. For handling particulate matters and gaseous air pollutants from oak charcoal manufacturing process in biomass burning, air pollutant prevention equipment design and management needs preprocessor for removal wood tar.

• Journal of Animal Environmental Science
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• v.13 no.2
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• pp.97-104
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• 2007

This study was carried out to develop the modified cyclone dust collector in windowless broiler building measuring 12 m wide, 46 m long, with a side wall height of 3 m and a capacity of 12,800 birds. Ventilation rate in windowless broiler building was $0.014{\sim}0.015\;and\;0.158{\sim}0.181cmm$ in second weeks and fifth weeks of age, respectively. Ammonia concentration was $13{\sim}16\;and\;20{\sim}24\;ppm$ in first and second weeks of age, respectively. Amount of dust collected in dust collector each week was 104.1, 274.7 and 388.6g in first, second and third weeks of age. But it was decreased from fourth weeks of age because of the increased ventilation rate. Total suspended particulate(TSP) of polluted air was $3,111.7{\sim}8,745.2{\mu}g/m^3$, but it was decreased to $530.8{\sim}2,264.4{\mu}g/m^3$ when it passed through the dust collector. Collecting efficiency was $54.2{\sim}82.9%$ in TSP. But collecting efficiency of Particulate matter smaller than $1{\mu}g$ (PM1.0) was $7.6{\sim}33.8%$, and lower than TSP. TSP concentration in control broiler house was 1,387.6 and $4,210.1{\mu}g/m^3$ in first and fourth weeks of age, respectively. But it was decreased to 876.3 and $2,535.3{\mu}g/m^3$ in broiler house operated dust collector in first and fourth weeks of age, respectively. Dust collecting efficiency for TSP was $36.8{\sim}39.8%$, and it was decreased to $11.4{\sim}39.8%$ in smaller dust size.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.1
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• pp.10-17
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• 2020

Objectives: This study was performed to evaluate the total dust, size-selective dust, and heavy metal concentrations generated inside and outside toll booths on an expressway and to identify the source through analysis of the components of the deposited dust. Methods: A total of 32 samples were collected from eight expressway toll booths. Each total dust sample was collected using a 37 mm PVC filter attached to a personal air sampler. Heavy metal samples were collected according to NIOSH method 7300. The size-selective dust concentrations were identified using a DustMate, and deposited dust was analyzed by WD-XRF and UHR-FE-SEM. Results: The geometric mean concentrations of the total dust inside and outside the toll booths were 337.5 ㎍/㎥ and 342.7 ㎍/㎥, respectively. The overall concentrations of TSP, PM₁₀, PM_2.5, and PM1 were higher on the outside of the toll booths, as the particle size of dust was larger, and higher in the underground passage as the dust size was smaller. The real-time analysis of the dust concentrations of TSP, PM₁₀, PM_2.5, and PM1 revealed to be higher at morning and evening times than other times because of heavy traffic. The element components of deposited dust in the toll booth were related to natural sources rather than artificial sources. Among the chemical components in the deposited dust analyzed by WD-XRF, SiO₂ was the highest. For the elements analyzed by UHR-FE-SEM, C was the highest, followed by O, and Si. Conclusions: In order to reduce the dust concentrations around toll booths on an expressway, it is necessary to periodically clean surrounding areas such as underground passages, and it is also necessary to remove deposited dust inside the toll booth from time to time.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.3
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• pp.251-260
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• 2014

Biomass burning is one of the significant emission source of PM and CO, but a few studies are reported in Korea. Air pollutants emission from biomass burning such as wood stove and boiler, and wood-pellet stove and boiler were estimated in this study. Activity levels related to biomass burning such as fuel types, amount of fuel loading, and location and temporal variation were investigated by field survey over Korea. Fuel loadings were 14.9 kg/day for wood stove, 31.3 kg/day for wood boiler, 12.8 kg/day for wood-pellet stove, 32.5 kg/day for wood-pellet boiler during the season of active use. These were mostly burned in winter season from october to april of next year. Estimated annual emissions from wood stove & boiler were CO 76,677, $NO_x$ 710, $SO_x$ 70, VOC 20,941, TSP 6,605, PM10 2,921, PM2.5 1,851, and NH3 7 ton/yr, respectively. Emissions from wood-pellet stove and boiler were CO 32,798, $NO_x$ 1,830, $SO_x$ 25, VOCs 5,673, TSP 629, PM10 457, PM2.5 344, and $NH_3$ 2 ton/yr, respectively. When the emission estimates are compared with total emissions of the national emission inventory (CAPSS: Clean Air Policy Support System), Those occupy 12.5%, 2.8% of total national emission for CO and PM10, respectively. These results show wood and wood-pellet burning appliances were one of the major source of air pollution in Korea. In future, these types of heaters need to be regulated to reduce air pollution, especially in suburb area.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.41-47
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• 2015

This study was carried out simulating domestic utilization conditions of a wood pellet stove and a wood pellet boiler in order to determine emission factors (EFs) of macro-pollutants, i.e., carbon monoxide, nitrogen oxides, sulfur oxides, ammonia, particulate matters (total suspended particulate, $PM_{10}$, $PM_{2.5}$, black carbon) and trace pollutants (i.e., ten different volatile organic compounds). The composite pollutants EFs for the pellet stove were: for TSP 4.58 g/kg, for $PM_{10}$ 3.35 g/kg, for $PM_{2.5}$ 2.48 g/kg, CO 119.23 g/kg, NO 14.40 g/kg, $SO_2$ 0.17 g/kg, TVOC 37.73 g/kg, $NH_3$ 0.02 g/kg and emissions were similar to the pellet boiler appliance: for TSP 4.73 g/kg, for $PM_{10}$ 3.41 g/kg, for $PM_{2.5}$ 2.63 g/kg, CO 161.51 g/kg, NO 13.67 g/kg, $SO_2$ 0.19 g/kg, TVOC 45.22 g/kg, $NH_3$ 0.02 g/kg.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.49-54
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• 2015

Manually fed firewood burning appliances, i.e., stove and boiler, were tested in order to determine emission factors (EFs) of macro-pollutants, i.e., carbon monoxide, nitrogen oxides, sulfur oxides, ammonia, particulate matters (total suspended particulate, $PM_{10}$, $PM_{2.5}$, black carbon) and trace pollutants (i.e., ten different volatile organic compounds). The composite pollutants EFs for the wood stove were: for TSP 15.45 g/kg, for $PM_{10}$ 6.53 g/kg, $PM_{2.5}$ 4.16 g/kg, CO 175.49 g/kg, NO 1.58 g/kg, $SO_2$ 0.15 g/kg, TVOC 48.02 g/kg, $NH_3$ 0.02 g/kg and emissions were similar to the wood boiler appliance: for TSP 12.23 g/kg, for $PM_{10}$ 5.84 g/kg, $PM_{2.5}$ 3.66 g/kg, CO 146.74 g/kg, NO 1.42 g/kg, $SO_2$ 0.15 g/kg, TVOC 47.78 g/kg, $NH_3$ 0.01 g/kg.