• Title/Summary/Keyword: Particulate Matters(PM)

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Investigation on Generation and Emission of Particulate Matters and Ammonia from Mechanically-ventilated Layer House (강제환기식 산란계 사육시설의 PM, NH3 발생·배출 특성 조사)

  • Jang, Dong-Hwa;Yang, Ka-Young;Kwon, Kyeong-Seok;Kim, Jong-Bok;Ha, Tae-Hwan;Jang, Yu-Na
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.1
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    • pp.99-110
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    • 2022
  • In this study, the generation and emission characteristics of particulate matter and gaseous matter in a mechanically ventilated layer house were evaluated. Each concentration of PM10, PM2.5, inhalable dust, respirable dust, and NH3 was measured and compared with occupational limit considering seasons and respiratory disorder. CAPPS (Clean Air Policy Support System) of the Ministry of Environment proposes the emission factors of PM10, PM2.5, and NH3 for a layer houses however, emission factors are still calculated from foreign factors such as CONINAIR values. As a result, it is urgent to develop national emission factors for domestic layer house. Emission coefficients of the studied mechanically-ventilated layer house in a summer season were calculated as 0.052 kg/head/year for PM10, about 12% lower than that of CAPSS, and 0.0068±0.0038 kg/head/year for PM2.5, showing no significant difference. Emission factor of NH3 was calculated as 0.159±0.031 kg/head/year, about 51% lower than that of CAPSS.

Compensation of Light Scattering Method for Real-Time Monitoring of Particulate Matters in Subway Stations (지하역사 내 미세먼지 실시간 모니터링을 위한 광산란법 보정)

  • Kim, Seo-Jin;Kang, Ho-Seong;Son, Youn-Suk;Yoon, Sang-Lyeor;Kim, Jo-Chun;Kim, Gyu-Sik;Kim, In-Won
    • Journal of Korean Society for Atmospheric Environment
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    • v.26 no.5
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    • pp.533-542
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    • 2010
  • The $PM_{10}$ concentrations in the underground should be monitored for the health of commuters on the underground subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation are measuring several air pollutants regularly. As for the measurement of $PM_{10}$ concentrations, instruments based on $\beta$-ray absorption method and gravimetric methods are being used. But the instruments using gravimetric method give us 20-hour-average data and the $\beta$-ray instruments can measure the $PM_{10}$ concentration every one hour. In order to keep the $PM_{10}$ concentrations under a healthy condition, the air quality of the underground platform and tunnels should be monitored and controlled continuously. The $PM_{10}$ instruments using light scattering method can measure the $PM_{10}$ concentrations every less than one minute. However, the reliability of the instruments using light scattering method is still not proved. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the $PM_{10}$ concentrations continuously in the underground platforms. One instrument using $\beta$-ray absorption method and two different instruments using light scattering method (LSM1, LSM2) were placed at the platform of the Jegi station of Seoul metro line Number 1 for 10 days. The correlation between the $\beta$-ray instrument and the LSM2 ($r^2$=0.732) was higher than that between the $\beta$-ray instrument and the LSM1 ($r^2$=0.393). Thus the LSM2 was chosen for further analysis. Three different regression analysis methods were tested: Linear regression analysis, Nonlinear regression analysis and Orthogonal regression analysis. When the instruments using light scattering method were used, the data measured these instruments have to be converted to actual $PM_{10}$ concentrations using some factors. With these analyses, the factors could be calculated successfully as linear and nonlinear forms with respect to the data. And the orthogonal regression analysis was performed better than the ordinary least squares method by 28.45% reduction of RMSE. These findings propose that the instruments using light scattering method light scattering method can be used to measure and control the $PM_{10}$ concentrations of the underground subway stations.

The Effect of Biodiesel and Ultra Low Sulfur Diesel Fuels on Emissions in 11,000 cc Heavy-Duty Diesel Engine

  • Baik, Doo-Sung;Han, Young-Chool
    • Journal of Mechanical Science and Technology
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    • v.19 no.3
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    • pp.870-876
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    • 2005
  • It seems very difficult to comply with upcoming stringent emission standards in vehicles. To develop low emission engines, better quality of automotive fuels must be achieved. Since sulfur contents in diesel fuels are transformed to sulfate-laden particulate matters as a catalyst is applied, it is necessary to provide low sulfur fuels before any Pt-based oxidation catalysts are applied. In general, flash point, distillation $90\%$ and cetane index are improved but viscosity can be worse in the process of desulfurization of diesel fuel. Excessive reduction of sulfur may cause to degrade viscosity of fuels and engine performance in fuel injection systems. This research focused on the performance of an 11,000 cc diesel engine and emission characteristics by the introduction of ULSD, bio-diesel and a diesel oxidation catalyst, where the bio-diesel was used to improve viscosity of fuels in fuel injection systems as fuel additives or alternative fuels.

Characteristics of Nano-particles Exhausted from Heavy-duty Diesel Vehicles with Low Emission Technology (대형경유차 저공해기술 적용에 따른 나노입자 배출특성)

  • Lim Cheol-Soo;Yoo Jung-Ho;Eom Myoung-Do;Hwang Jin-Woo;Kim Ye-Eun
    • Journal of Korean Society for Atmospheric Environment
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    • v.20 no.2
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    • pp.225-236
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    • 2004
  • Diesel engines which emit a lot of PM and NOx have been known as a main air polluter. Especially, diesel particulate matters (OPM) including black smoke are hazardous air pollutants to human health and environment. The nations retaining advanced engine technologies have reinforced emission regulations. To meet these regulations diesel engine manufacturers have developed low-emission diesel engines, aftertreatment equipments, alternative fuel technologies and so on. In this study, particle number concentrations characteristics according to particle size and engine driving conditions were analyzed when these low-emission technologies were applied. There was a tendency of increasing particle number concentrations from heavy-duty diesel engines with increasing engine rpm and load rate. In the cases of COPF (Catalytic Diesel Particulate Filter), CNG (Compressed Natural Gas) engine and ULSD (Ultra Low Sulfur Diesel) more than 99% of particle number concentration were removed.

A Study on the Metallic and Ion Elements by Fine Particle and Effects of Vessels Exhaust Emission in Busan City (부산지역의 미세먼지 중 중금속 및 이온성분과 선박배출가스의 영향에 관한 연구)

  • Lee, Seung-Won;Son, Yi-Seul;Kim, Jung-Kwon
    • Journal of Environmental Science International
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    • v.20 no.1
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    • pp.147-153
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    • 2011
  • The objectives of this study were to investigate the seasonal characteristics of metallic and ion elements of $PM_{10}$(Particulate matter with aerodynamic diameter ${\leq}10\;{\mu}m$) and the effects of vessels exhaust emission from ships harboring in Busan City. The $PM_{10}$ samples were collected from January 2010 to October 2010 at Dongsam-dong(coastal area), in Busan City. The particulate matters were analyzed for major water soluble ionic components and metals. The ranges of the $PM_{10}$ mass concentrations were from 29.8 ${\mu}g/m^3$ to 47.0 ${\mu}g/m^3$ in Dongsam-dong. The $PM_{10}$ mass concentrations in Dongsam-dong are very similar to Gwangbok-dong during same sampling periods. These results were understood by the effects of the shipping source emitted from ships anchoraging and running. The concentrations of water-soluble ions and metals in the $PM_{10}$ had a level of as high as the order of $SO_4^{2-}$>$NO_3^-$>$Cl^-$ and $NH_4^+$>$Na^+$>$Ca^{2+}$>$K^+$>$Mg^{2+}$, respectively. The correlation coefficients($R^2$) for $SO_4^{2-}/PM_{10}$ and $NH_4^+/PM_{10}$ of were 0.7446 and 0.7784, respectively, and it showed the high correlation with each other.

Artificial and Biological Particles in the Springtime Atmosphere

  • Ma, Chang-Jin;Kim, Ki-Hyun
    • Asian Journal of Atmospheric Environment
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    • v.7 no.4
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    • pp.209-216
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    • 2013
  • This study focused on a comprehensive and detailed interpretation for the springtime air quality influenced by both artificial (particulate matter (PM) and asbestos) and biological (pollen) sources in Fukuoka Prefecture, Japan. An intensive measurement of PM was conducted at four characteristic sites (i.e., a heavy traffic area, a residential area, an industrial area, and a desolate area) in the Fukuoka Prefecture during spring of 2007. Analysis of major ionic species in $PM_{2.5}$ was performed by an Ion Chromatography, and asbestos and pollen were identified by Scanning Electron Microscopy with an energy dispersive X-ray spectrometer (EDX). $PM_{2.5}$ concentration ($65.3{\mu}gm^{-3}$) measured in an industrial area (site C) was extraordinarily high compared to those monitored in other areas; it greatly exceeded the Japan's $PM_{2.5}$ criteria (a daily average of $35{\mu}gm^{-3}$). NOAA's HYSPLIT dispersion model suggests that this high level of $PM_{2.5}$ monitored at site C is unlikely to affect the Asian continent. The ambient concentrations of $PM_{2.5}$-related anions ($NH_4{^+}$, $NO_3{^-}$, and $SO_4{^{2-}}$) and their relative contributions to $PM_{2.5}$ were also investigated in four study areas. The concentrations of these major water-soluble ions exhibit not only strong spatial dependence but also different ratios to each other. Asbestos fiber (crocidolite and amosite) concentration values changed in the range of 2.5 to 14.4 f per liter of air. The number of pollen grains showed that Cedar ranked higher in concentration than other types of pollen, with the maximum concentration at site A.

Emission Characteristics of Fine Particles from Thermal Power Plants (화력발전소의 미세먼지 배출특성)

  • Park, Sooman;Lee, Gayoung
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.4
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    • pp.455-460
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    • 2020
  • In order to identify the characteristics of fine particle emissions from thermal power plants, this study conducted measurement of the primary emission concentration of TPM, PM10 and PM2.5 according to Korea standard test method (ES 01301.1) and ISO 23210 method (KS I ISO 23210). Particulate matters were sampled in total 74 units of power plants such as 59 units of coal-fired power plants, 7 units of heavy oil power plants, 2 units of biomass power plant, and 6 units of liquid natural gas power plants. The average concentration of TPM, PM10, PM2.5 by fuel are 3.33 mg/m3, 3.01 mg/m3, 2.70 mg/m3 in coal-fired plant, 3.02 mg/m3, 2.99 mg/m3, 2.93 mg/m3 in heavy oil plant, 0.114 mg/m3, 0.046 mg/m3, 0.036 mg/m3 in LNG plant, respectively. These results of TPM, PM10 and PM2.5 were satisfied with the standards of fine dust emission allowance in all units of power plants, respectively. Also, this study evaluated the characteristics of fine particle emissions by conditions of power plants including generation sources, boiler types and operation years and calculated emission factors and then evaluated fine particle emissions by sources of electricity generation.

A Monitoring Strategy on Dispersion of Particulate Matter emitted from Domestic Limestone Open Pit Mines (국내 노천 석회석 광산먼지 확산 모니터링 방안)

  • Yoon, Jinho;Lee, Sang-hun;Seo, Eui Young;Baek, Seunghan
    • Economic and Environmental Geology
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    • v.54 no.4
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    • pp.475-482
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    • 2021
  • This study proposed a strategy with literature review on effective monitoring of dispersion of the particulate matters (PM) emitted from domestic open pit lime mines. The mines generally produced a large amount of PM through the mine processes such as crushing and transportation of raw or crushed ores. The PM emission from mine facilities or transportation can be assessed using empirical equations which was prepared through the experimental tests to produce PM from ores. For effective monitoring of mine PM dispersion, this study showed a preliminary application of the monitoring network with multiple low-cost sensors around a main PM emission source for each mine site. Therefore, two domestic limestone mine sites were selected for this study, and install the monitoring network with low-cost PM sensors and LTE (Long-term evolution) data communication. Then, preliminary resultant PM data plotted according to monitoring duration showed typical PM dispersion patterns. The quantification of the PM dispersion patterns should be roughly prepared by a PM size-dependent dispersion modeling.

Impact of Yellow Dust Transport from Gobi Desert on Fractional Ratio and Correlations of Temporal PM10, PM2.5, PM1 at Gangneung City in Fall (고비사막으로부터 황사수송이 가을에 강릉시의 시간별 PM10, PM2.5, PM1 간의 농도차비와 상관관계에 미치는 영향)

  • Lee, Mi-Sook;Chung, Jin-Do
    • Journal of Environmental Science International
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    • v.21 no.2
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    • pp.217-231
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    • 2012
  • Hourly concentrations of $PM_1$, $PM_{2.5}$ and $PM_{10}$, were investigated at Gangneung city in the Korean east coast on 0000LST October 26~1800LST October 29, 2003. Before the intrusion of Yellow dust from Gobi Desert, $PM_{10}$($PM_{2.5}$, $PM_1$) concentration was generally low, more or less than 20 (10, 5) ${\mu}g/m^3$, and higher PM concentration was found at 0900LST at the beginning time of office hour and their maximum ones at 1700LST around its ending time. As correlation coefficient of $PM_{10}$ and $PM_{2.5}$($PM_{2.5}$ and $PM_1$, and $PM_{10}$ and $PM_1$) was very high with 0.90(0.99, 0.84), and fractional ratios of $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 1.37~3.39(0.23~0.54), respectively. It implied that local $PM_{10}$ concentration could be greatly affected by particulate matters of sizes larger than $2.5{\mu}m$, and $PM_{2.5}$ concentration could be by particulate matters of sizes smaller than $2.5{\mu}m$. During the dust intrusion, maximum concentration of $PM_{10}$($PM_{2.5}$, $PM_1$) reached 154.57(93.19, 76.05) ${\mu}g/m^3$ with 3.8(3.4, 14.1) times higher concentration than before the dust intrusion. As correlation coefficient of $PM_{10}$ and $PM_{2.5}$(vice verse, $PM_{2.5}$, $PM_1$) was almost perfect high with 0.98(1.00, 0.97) and fractional ratios of $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 0.48~1.25(0.16~0.37), local $PM_{10}$ concentration could be major affected by particulates smaller than both $2.5{\mu}m$ and $1{\mu}m$ (fine particulate), opposite to ones before the dust intrusion. After the ending of dust intrusion, as its coefficient of 0.23(0.81, - 0.36) was very low, except the case of $PM_{2.5}$ and $PM_1$ and $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 1.13~1.91(0.29~1.90), concentrations of coarse particulates larger than $2.5{\mu}m$ greatly contributed to $PM_{10}$ concentration, again. For a whole period, as the correlation coefficients of $PM_{10}$, $PM_{2.5}$, $PM_1$ were very high with 0.94, 1.00 and 0.92, reliable regression equations among PM concentrations were suggested.

Evaluation of Environmental Benefit and Cost for Management of Air Quality - [Based on Fine Dust Pollution on Donghae Harbor] (공기질 관리에 관한 환경 비용편익 연구[동해항만 주변 미세먼지오염을 기준])

  • Kim, Eun-Joo;Lee, Choon-Gil;Kim, Ji-Hyun;Park, Young-Koo
    • Journal of the Korean Applied Science and Technology
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    • v.29 no.4
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    • pp.561-569
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    • 2012
  • Study attempts to evaluate the environmental cost and benefit for management of particulate matters of Donghae harbor in Gangwondo. The level of fine dust suspended in the vicinity of the harbor was quite high, exceeding the national standard ($100{\mu}g/m^3$) depending on the places. The test field harbor deals with lots of limestone and coal, so that fine particulates could be generated while loading it and unloading. It was estimated that the direct handling of cargos might produce 12 tons of PM10(Particulate Matters of $10{\mu}m$) a year. In addition, heavy vehicles for transportation of various cargos including raw materials emit huge amount of diesel soots and cause to redispersion of road dust. The local government spends more than 2 billion won every year, and it contributes to reduce the atmospheric dust. According to the prediction of cost to benefit, it will present the effectiveness in 720 % maximum and at least 240 %.