• Title/Summary/Keyword: Air pollutants emission

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Effect of Emission gas from Air craft to Ambient Air (항공기 배출가스가 대기환경에 미치는 영향)

  • 신찬기
    • Journal of environmental and Sanitary engineering
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    • v.10 no.3
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    • pp.124-130
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    • 1995
  • Air pollution problem by air craft was reviewed from emission gas components from air craft and pollutants amount generated in airport with the compareness of domestic transportation data by airplane and foreign data. It is reported that concentration of emission gas from air craft is lower than that of pollutants from automobile and factory. But transportation frequency is increasing rapidly in Korea. It is recommended that concerns should be taken on long- term of counterplan device about it.

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A Study on the Estimation of Air Pollutants Emission Factors in Electric Power Plants (화력발전소의 대기오염물질 배출계수 산정 연구)

  • 김대곤;엄윤성;홍지형;이석조;석광설;이대균;이은정;방선애
    • Journal of Korean Society for Atmospheric Environment
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    • v.20 no.3
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    • pp.281-290
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    • 2004
  • The main purpose of this study was to characterize the air pollutants emission factors in electric power plant (EPP) using fossil fuels. The electric power plant is a major air pollution source, thus knowing the emission characteristics of electric power plant is very important to develop a control strategy. The major air pollutants of concern from EPP slacks are particulate matter (PM), sulfur oxides (SOx), nitrogen oxides (NOx), carbon monoxide (CO) and heavy metals. Throughout the study, the following results are estimated - PM : 8.671E-05 ∼ 8.724E+01 PM emission (kg) per fuel burned (ton) - SOx : 4.149E-04∼7.877E+01 SOx emission (kg) per fuel burned (ton) - NOx 1.578E-02∼9.857E+00 NOx emission (kg) per fuel burned (ton) - CO : 3.800E-04∼1.291E+00 CO emission (kg) per fuel burned (ton) - Hg : 1.220E+01∼3.108E+02 Hg emission (mg) per fuel burned(ton) From the statistical analysis by Wilcoxon signed ranks test between the emission factors of ours and U.S. EPA's, we can yielded that : p 〉0.05.

Estimation Technique of Volatile Hazardous Air Pollutants(HAPs) Emitted from Petroleum Industrial Process/Equipment (석유정제산업 공정과 공정장비에 기인한 휘발성 유해 대기오염물질(HAPs)의 배출량 산정기법)

  • Jo, Wan Geun;Gwon, Gi Dong;Dong, Jong In;Gang, Gyeong Hui
    • Journal of Environmental Science International
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    • v.13 no.7
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    • pp.703-710
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    • 2004
  • Petroleum refineries have been considered as an important emission source for atmospheric volatile hazardous air pollutants(HAPs). The emission source includes petroleum refinery processes and process equipment. The control strategy for volatile HAPs requires emission estimations of these pollutants. However, systematic methods of volatile HAPs emission from petroleum refineries have not yet been established. Accordingly, present study surveyed the estimation method of volatile HAPs emitted from the petroleum refinery processes and process equipment. The emission estimation methods for the petroleum refinery processes are applied for 11 petroleum refining facilities: fluidized catalytic cracking, thermal cracking, moving bed catalytic cracking, compressed engine, blowdown system, vacuum distilled column condensator, natural gas or distilled boiler, natural gas or distilled heater, oil boiler, oil heater and flare. Four emission estimation methods applied for the petroleum refinery process equipment are as follows: average emission factor approach, screening ranges approach, EPA correlation approach and unit-specific correlation approach. The process equipment for which emission factors are available are valves, pump seals, connectors, flanges and open-ended lines.

Effects of Emission from Seoul Metropolitan Area on Air Quality of Surrounding Area Using MESOPUFF II Model (MESOPUFF II모델을 이용한 서울시 $SO_2$배출량이 주변지역 대기질에 미치는 영향 분석)

  • 조창래;이종범
    • Journal of Korean Society for Atmospheric Environment
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    • v.14 no.6
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    • pp.563-576
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    • 1998
  • To study the influences of the emission sources during lune 13∼15 1997 in Seoul, MESOPVFF II model has been used. The MESOPVFF II model includes terrain effects, chemical transformation and removal processes. Data of 20 surface meteorological stations and the upper air station on mid-west area in Korea were used as a DWM (Diagnostic Wind Model) input data. This model is likely to be applicable because the predicted SO2 concentration was well matched with measured 502 concentration in Seoul and Kyonggido. In generally air pollutants in Seoul have major influence on the other cities but the result of modeling appeared also air pollutants of the other cities influence on Seoul. Finally, in the case of calculating the air quality by diffusion model, the influences of air pollutants emitted in metropolitan area as well as the emission rate in modeling area should be considered.

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Study on Development of the Air Pollution Management System for Disaster Prevention of Air Pollution (대기오염 재해방지를 위한 대기오염 관리시스템 구축에 관한 연구)

  • Lim, Ik-Hyun;Hwang, Eui Jin;Ryu, Ji Hyeob
    • Journal of Korean Society of societal Security
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    • v.2 no.1
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    • pp.65-74
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    • 2009
  • In this study, the air pollution management system based GIS has been developed to estimate the emission rate and air pollution modeling of air pollutants, effectively. This system is able to estimate emission rate of air pollutant and to analyze the emission characteristics with high spatial and temporal resolution. air pollution modeling. The air pollution management system was applied to Gwangyang Bay including large industry complex with a large number of emission sources. The air pollution management system was constructed using the spatial database of emission sources in Gwangyang Bay. It was found that the estimated emission rates of air pollutants is similar to the emission characteristics in Gwangyang Bay. Also, the spatial distribution of pollutants was similar to the location of emission sources. The predicted results of air pollution model was showed a good correlation coefficient (0.75) for TSP. The air pollution management system is expected to be effective tool (database system (GIS)) for the management and the control of air pollution.

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A Study on the Emission Estimate of Pollutants in Pusan (부산지역에서의 오염물 배출량 산정에 관한 연구)

  • 김유근;이화운;전병일;방종선
    • Journal of Korean Society for Atmospheric Environment
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    • v.12 no.4
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    • pp.361-367
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    • 1996
  • In order to accurately predict air pollution concentration according to reduction of air pollutant emission, a numerical model is needed. And the total emission amount of air pollutants should be estimated to explain the air pollution phenomena. The characteristics of the emission amount from area, line, and point sources in Pusan were studied by using emission data during one year (1992). The result showed that the annual total emission amount of pollutant is about 299,744 tons in Pusan. The emission consists of 31.8% of $SO_2$, 48.4% of CO, 4.6% of HC, 11.0% of NOx and 4.1% of TSP, as well as 52.1% of line, 24.1% of area and 23.7% of point sources. The result also showed that emission amount becomes larger in winter than that of the others.

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A Study on the Emission Factors of Air Pollutants for the Melting Furnaces of the Iron and Steel Industry (철강산업 용융로의 대기오염물질 배출계수 산정 연구)

  • 석광설;방선애;홍지형;이석조;김대곤;이대균;허정숙;이은정
    • Journal of Korean Society for Atmospheric Environment
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    • v.20 no.4
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    • pp.571-578
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    • 2004
  • The purpose of this study is to estimate of emission factors of the air pollutants for the melting furnaces for the iron and steel industry. The result of this study is able to obtaine the emission factor of particulate matters (PM), sulfur dioxide. nitrogen oxides for melting furnace. The emission factors of each pollutants were as follows : - the emission factor varied between 6.13E-03~6.12E-01 kg/ton for PM -1.59E-01~2.45E+00kg/ton for $SO_2$ - 6.82E-02~6.88E-01 kg/ton for NOx, respectively. Analysis of the differences in the emission factors of ours and U.S. EPA's yielded the following results for the Wilcoxon method : p>0.05. The statistical analysis showed no differences in the our emission factors and U.S. EPA's

A Study on Estimation of Air Pollutants Emission from Agricultural Waste Burning (농업잔재물 노천소각에 의한 대기오염물질 배출량 산출에 관한 연구)

  • Kim, Dong Young;Choi, Min-Ae;Han, Yong-Hee;Park, Sung-Kyu
    • Journal of Korean Society for Atmospheric Environment
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    • v.32 no.2
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    • pp.167-175
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    • 2016
  • In this study, we estimate air pollutants emission from agricultural waste burning. We investigated activities related to agricultural waste burning such as crop burning rates, location, and time by region. The average crop burning rates per square meter farmland of fruits, pulses, barleys, cereals, vegetables, and special crops were $273.1g/m^2$, $105.7g/m^2$, $7.4g/m^2$, $121.0g/m^2$, $290.7g/m^2$, and $392.9g/m^2$, respectively. We estimated air pollutants emissions with pre-developed emission factors. The estimated air pollutant emission of agricultural biomass burning were CO 148,028 ton/year, $NO_x$ 5,220 ton/year, $SO_x$ 11 ton/year, VOC 59,767 ton/year, TSP 21,548 ton/year, $PM_{10}$ 8,909 ton/year, $PM_{2.5}$ 7,405 ton/year, and $NH_3$ 5 ton/year. When these results compared with the entire emissions of national inventory (CAPSS), CO, VOC, $PM_{10}$ account for about 17.8%, 6.2%, 6.7% of the total, respectively.

Relationship of Electricity Consumption and Emission Rate of Acidic Gases (전력소비와 산성가스 배출량과의 관계)

  • 정일록;김대곤
    • Journal of environmental and Sanitary engineering
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    • v.10 no.3
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    • pp.131-138
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    • 1995
  • As the energy consumption increases continuously, the emission amount of air pollutants is growing, and after all it can influence the global environment as welt as the regional atmosphere. So, the clean energy which emits less air pollutants should be developed and widely used to reduce emission of pollutants. Electricity, known for clean energy in the side of consumption, is not actually clean in the process of generation. Electric power is generated using fossil fuels which produce acidic gases like $SO_{2}$, $NO_{x}$, etc. The emission rates of $SO_{2}$, $NO_{x}$, $CO_{2}$ are 2g,0.78g and 1 l0g per electric power generating Ikwh. If one light(60 watt bulb) be turned off at each house for a month electricity will be saved about 1.Skillion kwh a year. This is almost the same as 4,170 tons of $SO_{2}$ and $NO_{x}$. As a result the economization of electricity will be one of the effective strategy to reduce the air pollution and to keep our life clean and comfortable.

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