• Title/Summary/Keyword: Emission Impact

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Receptor Model(CMB) and Source Apportionments of VOCs in Seoul Metropolitan Area (수용모델(CMB)을 이용한 수도권 VOCs의 배출원별 기여율 추정)

  • Han, Jin-Seok;Hong, Y.D.;Shin, S.A.;Lee, S.U.;Lee, S.J.
    • Journal of Environmental Impact Assessment
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    • v.14 no.4
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    • pp.227-235
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    • 2005
  • Source contribution for VOCs collected in Seoul metropolitan area was conducted using PAMs (Photochemical assessment monitoring system) data and CMB(Chemical Mass Balance) model8.0, in order to estimate spatial and temporal variations of VOCs source contribution in that area, and also to compare with corresponding emission inventory. VOCs data used in model calculation were collected at 6 different sites of PAMs(Seokmori, Guwoldong, Simgokdong, Bulgwangdong, Jeongdong and Yangpyeong) and 22 out of 56 VOCs species were analyzed from June 2002 to march 2003 and used for CMB model estimation. The result showed that vehicle exhaust, coating and energy combustion were important sources of VOCs in Seoul metropolitan area, averaging 32.6%, 25.5% and 25.1%, respectively. In this study as well as other references, it was revealed that vehicle exhaust is the main contributor of urban area VOCs, but there is remarkable contrast between emission inventory and model estimation. Vehicle exhaust portion is seriously underestimated while coating is usually overestimated in emission estimates, compared to CMB results. Therefore, it is considered to assert and confirm the uncertainty of emission estimates and clarify the distinction between two other source apportionment methods.

Estimation of Ammonia Flux and Emission Factor from the Cattle Housing of Fall and Winter (소사육시설에서 가을철과 겨울철의 암모니아 플럭스 및 배출계수 산정에 관한 연구)

  • Sa, Jae-Hwan;Jeon, Eui-Chan
    • Journal of Environmental Impact Assessment
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    • v.19 no.1
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    • pp.1-13
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    • 2010
  • Ammonia ($NH_3$) is an important pollutant that plays a key role in several air pollution problems. It can create odors and have negative impacts on animal and human health. The largest source contributing to Ammonia emission is the agricultural production, in particular animal operation, in Korea. The present study evaluated flux profiles of Ammonia emitted from the cattle housing using a dynamic flux chamber. We have developed the emission factor of Ammonia from the cow housing. Analysis of Ammonia flux variation was made with respect to manure surface temperature, pH, and ammonium concentration. Ammonia has been measured from calf and cattle housing between October and December in 2007. In the fall, average Ammonia flux from calf and cattle housing was estimated 1.342(${\pm}0.728$) and 1.323(${\pm}0.655$)mg/$m^2$/min, respectively. In the winter, average Ammonia flux was estimated 0.889(${\pm}0.362$)mg/$m^2$/min from the calf housing and 0.925(${\pm}0.511$)mg/$m^2$/min from the cattle housing. The correlation coefficient between Ammonia flux and ammonium concentration showed stronger relationship than the relationship between manure pH and temperature. In the fall, Ammonia emission factor from calf and cattle housing was estimated 4.46(${\pm}2.39$) and 6.03(${\pm}3.27$)kg-$NH_3$/animal/yr, respectively. In the winter, average Ammonia flux was estimated 2.88(${\pm}1.53$) from the calf housing and 4.24({$\pm}1.63$)kg-$NH_3$/animal/yr from the cattle housing.

Development of Emission Monitoring System Using ITS (ITS를 이용한 대기오염 로니터링 시스템 개발)

  • Park, Jun-Hwan;Lee, Jun;Lee, Young-Ihn
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.61-67
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    • 2004
  • It is needed for one to design the better models estimating emission and then with the real time data, make the monitoring system simulating emission rate because of having built the basement of accepting real-time traffic information in ITS projects. The objective of the study is to develop the monitoring system visualizing air pollution to a certain place. It is based on the estimated emission from the patterns of individual vehicles and the changes of traffic flow. For constructing simulator, we loaded referring algorithm in actuality program and simulates the traffic flow movement in a microscopic viewpoint. The simulator is able to express not only the movement of each car but also to visualize processing the emission and diffusion of the air pollutant by computer program. Not only expresses the simulation process the angle of vision but it also cutting down environment expenses and improving the traffic impact assessment and the traffic impact assessment.

Characteristics of GHG emission according to socio-economic by the type of local governments, REPUBLIC OF KOREA (지자체 유형별 사회경제적 특성에 따른 온실가스 배출특성 분석)

  • Park, Chan;Kim, Dai-Gon;Seong, Mi-Ae;Seo, Jeonghyeon;Seol, Sunghee;Hong, You-Deog;Lee, Dong-Kun
    • Journal of Environmental Impact Assessment
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    • v.22 no.3
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    • pp.195-201
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    • 2013
  • Local governments are establishing their own greenhouse gas reduction goal and are playing a important role to respond to climatic changes. However, there are difficulties in quantitative analyses such as estimation of future greenhouse gas emission and computation of reduction potential, which are procedures required to establish mid to long term strategies to realize of low carbon society by each local governments. Also, reduction measures must reflect characteristics of each local government, since the reduction power of each local government can differ according to characteristics of each. In order to establish strategies that reflect characteristics of local governments, types of greenhouse gas emission from cities were classified largely into residential city, commercial city, residential commercial city, agriculture and fishery city, convergence city, and industrial city. As a result of analyzing basic unit of greenhouse gas emission by local government during 2007 in terms of per population, household and GRDP based on the type classification, significant results were deduced for each type. To manage the amount of the national greenhouse gas, reduction measures should be focused on the local governments that emits more than the average of each type's GHG emission.

External cost Forecasting of Virtual Point Source in Suwon Area Using Impact Pathway Analysis - A Comparison of Suwon to Paris - (영향경로해석을 이용한 수원시 가상 점오염원의 외부비용 예측 - 수원시와 파리시 비교분석을 중심으로 -)

  • Jeong, Sang Jin
    • Journal of Environmental Impact Assessment
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    • v.14 no.5
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    • pp.291-303
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    • 2005
  • Impact pathway analysis(IPA) is a bottom-up approach to estimates health and environmental risks from emissions of classical pollutants (eg. $PM_{10}$, $SO_2$, $NO_x$ and CO). The model starts from the emission rates of facility, calculates the yearly mean concentrations of pollutants at the ground level using atmospheric dispersion models. After this, proper epidemiological exposure-response functions are applied to determine the impact on the receptors. Finally the methodology can monetise the calculated physical impact on the basis of selected economic evaluation. The aim of this study is to evaluate an external cost of virtual point source in Suwon area using IPA. The results shows minor modification of local input data can make it possible to apply the model to Suwon area.

Impact Localization of a Composite Plate Using a Single Transducer and Spatial Focusing Signal Processing Techniques (단일 센서와 공간집속 신호처리 기술을 이용한 복합재 판에서의 충격위치 결정)

  • Cho, Sungjong;Jeong, Hyunjo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2012.10a
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    • pp.715-722
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    • 2012
  • A structural health monitoring (SHM) technique for locating impact position in a composite plate is presented in this paper. The technique employs a single sensor and spatial focusing properties of time reversal (TR) and inverse filtering (IF). We first examine the focusing effect of back-propagated signal at the impact position and its surroundings through simulation. Impact experiments are then carried out and the localization images are found using the TR and IF signal processing, respectively. Both techniques provide accurate impact location results. Compared to existing techniques for locating impact or acoustic emission source, the proposed methods have the benefits of using a single sensor and not requiring knowledge of material properties and geometry of structures. Furthermore, it does not depend on a particular mode of dispersive Lamb waves that is frequently used in the SHM of plate-like structures.

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Minimizing environmental impact from optimized sizing of reinforced concrete elements

  • Santoro, Jair F.;Kripka, Moacir
    • Computers and Concrete
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    • v.25 no.2
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    • pp.111-118
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    • 2020
  • The construction field must always explore sustainable ways of using its raw materials. Studying the environmental impact generated by reinforced concrete raw materials during their production and transportation can contribute to reducing this impact. This paper initially presents the carbon dioxide emissions from reinforced concrete raw materials, quantified per kilo of raw material and per cubic meter of concrete with different characteristic strengths, for southern Brazil. Subsequently, reinforced concrete elements were optimized to minimize their environmental impact and cost. It was observed that lower values of carbon dioxide emissions and cost savings are generated for less resistant concrete when the structural element is a beam, and that reductions in the cross section dimensions of the beams, sized based on the use of higher strength concrete, may not compensate for the increased environmental impact and costs. For the columns, the behavior differed, presenting lower values of carbon dioxide emissions and costs for higher concrete strengths. The proposed methodology, as well as the results obtained, can be used to support structural projects that have less impact on the environment.

Development and Evaluation on a Model for Reducing SO2: Case Study on Global 2100 Model (산성비 원인물질인 이산화황 저감모형 구축과 평가에 관한 연구: Global 2100 모형을 중심으로)

  • Lee, Dong-Kun
    • Journal of Environmental Impact Assessment
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    • v.6 no.2
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    • pp.93-102
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    • 1997
  • Acid rain below pH 5.6 is responsible for 40% of annual precipitation in Korea and it is more serious especially in major cites. Because of that, it is urgent to make measures to reduce the emission of $SO_2$, one of the major air pollutants causing acid rain. The national total emission of $SO_2$ in 1994 was estimated as 1.6 million tons. The $SO_2$ emission in 2020, is expected to increase up to 3.2 million tons, about 2 times that of 1994 under Business-As-Usual scenario. We could take various $SO_2$ reduction measures such as installing desulfurization facilities, the supply of low-sulfur oil and clean fuel(LNG), energy savings, upgrading of production process. However, it is necessary to check the economic feasibility and the attainability to reduction target with a dynamic optimization mode, "Global 2100 Model". The cost-benefit analyses for the measures using the revised "Global 2100 Model" clearly revealed that the desulfurization facilities should be introduced to reduce the $SO_2$ concentration to 0.01 ppm with fuel substitution. If the introduction of desulfurization facilities is delayed, We can not attain the goal of Ministry of Environment before the year of 2012, even in the case that almost all the fuels would be substituted with LNG.

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Spatial Pattern Analysis of CO2 Emission in Seoul Metropolitan City Based on a Geographically Weighted Regression (공간가중회귀 모형을 이용한 서울시 에너지 소비에 따른 이산화탄소 배출 분석)

  • Kim, Dong Ha;Kang, Ki Yeon;Sohn, So Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.2
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    • pp.96-111
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    • 2016
  • Effort to reduce energy consumptions or CO2 emissions is global trend. To follow this trend, spatial studies related to characteristics affecting energy consumptions or CO2 emissions have been conducted, but only with the focus on spatial dependence, not on spatial heterogeneity. The aim of this study is to investigate spatial heterogeneity patterns of CO2 emission based on socio-economic factors, land-use characteristics and traffic infrastructure of Seoul city. Geographically Weighted Regression (GWR) analysis was performed with 423 administrative district data in Seoul. The results suggest that population and employment densities, road density and railway length in most districts are found to have positive impact on the CO2 emissions. Residential and green area densities also have the highest positive impact on CO2 emissions in most districts of Gangnam-gu. The resulting model can be used to identify the spatial patterns of CO2 emissions at district level in Seoul. Eventually it can contribute to local energy policy and planning of metropolitan area.

The impact of corrosion on marine vapour recovery systems by VOC generated from ships

  • Choi, Yoo Youl;Lee, Seok Hee;Park, Jae-Cheul;Choi, Doo Jin;Yoon, Young Soo
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.52-58
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    • 2019
  • Marine emissions of Volatile Organic Compounds (VOCs) have received much attention because the International Maritime Organization (IMO) requires the installation of vapour emission control systems for the loading of crude oils or petroleum products onto ships. It was recently recognised that significant corrosion occurs inside these vapour emission control systems, which can cause severe clogging issues. In this study, we analysed the chemical composition of drain water sampled from currently operating systems to investigate the primary causes of corrosion in vapour recovery systems. Immersion and electrochemical tests were conducted under simulated conditions with various real drain water samples, and the impact of corrosion on the marine vapour recovery system was carefully investigated. Moreover, corrosion tests on alternative materials were conducted to begin identifying appropriate substitutes. Thermodynamic calculations showed the effects of environmental factors on the production of condensed sulphuric acid from VOC gas. A model of sulphuric acid formation and accumulation by the characteristics of VOC from crude oil and flue gas is suggested.