• 제목/요약/키워드: mass contribution

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미세입자 ($PM_{2.5}$) 에 포함된 탄소농도계절 특성 (Seasonal characteristics of Elemental and Orgainc Carbon)

  • 강병욱
    • 한국대기환경학회지
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    • 제16권2호
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    • pp.103-112
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    • 2000
  • Elemental carbon(EC) and organic carbon(OC) in fine particles (PM2.5) were collected from October 1995 through August 1996 in the Chongju area. The annual mean concentrations of EC and OC were 4.44 and 4.99 $\mu\textrm{g}$/m3 respectively. EC showed seasonal variation (p<0.01) The magnitude of the seasonal mean EC concen-tration progresses in the following manner : fall>winter>spring>summer. However OC was not statistically seasonal difference(p=0.20) The annual average OC/EC ratio was 1.12 suggesting that organic carbon measured may by emitted directly in particulate form(primary aerosol) The contribution of EC to PM2.5 mass follows a general pattern in which fall(14.6%) > winter (9.8%) >spring(7.8%) =summer(7.8%) and the contribution of OC to the PM2.5 mass varies in order fall(13.8%) >winter(11.3%) >spring(10.5%) >summer (9.4%) Total carbona-ceous particles(EC and OC) accounted for 17-28% of the PM2.5 mass.

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TMD의 위치변화에 따른 건물의 응답효과 (Location Effect of Tuned Mass Dampers on the Response of Buildings)

  • 민경원;홍성목;황재승
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1993년도 봄 학술발표회논문집
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    • pp.95-99
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    • 1993
  • Conventional tuned mass dampers are located on the top floor of tall buildings, which reduce the fundamental mode response of buildings. Higher modes may have a greater contribution toward the acceleration response of tall buildings. To reduce this, additional tuned mass dampers are required and could be substituted as building equipments. This paper shows, with a numerical ezample, how the lecate tuned mass damper in order to reduce the higher mode response effectively

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분진의 개수농도 및 질량농도에 입각한 서울시 지하철 역사 내 오염원의 기여도 결정 (Determination of Source Contribution Based on Aerosol Number and Mass Concentration in the Seoul Subway Stations)

  • 최형욱;황인조;김신도;김동술
    • 한국대기환경학회지
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    • 제20권1호
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    • pp.17-31
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    • 2004
  • The subway play an important part in serious traffic problems. However, because subway system is a closed environment, many serious air pollution problems occurred in subway stations and injured passenger's health. Therefor, it is a necessary to identify sources and to estimate pollutant sources in order to protect passenger's health and to keep clean subway environment. The purpose of this study was to analyze a air quality in the subway stations and to apply a new receptor methodology for quantitatively estimate of PM10 sources. In this study, the size distributions of particulate matters has been measured by using Aerosizer LD (U.S.A., API, Inc.). It's real time measurement capability of time-of-flight technique offers a significant advantage of user convenience and air pollution management. Also, the mass concentrations of PM 10 has been measured by using mini-vol portable sampler (U.S.A., Airmetrics Co.). The sampling performed in Seoul subway stations during the period of February 2000 and April 2000. The number distribution data used in this study consisted of 26 raw data sets in the Jongno-sam-ga station. Correlation Analysis can be used in subway stations for source separation and identification. Then, number contribution from each source is determined by the particle number balance (PNB). The mass concentration data used in this study consisted of 31 raw data in the 8 different stations. The mass contributions of PM10 sources in the concourse by using PMF/CMB model.

주파수 응답 함수를 이용한 철도차량 실내소음 기여도 분석 및 분포도 측정 (Analysis of Noise Contribution using Frequency Response Function and Measurements of Noise Distribution for Railway Interior Noise)

  • 김재철;유원희
    • 소음진동
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    • 제9권5호
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    • pp.949-954
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    • 1999
  • Speed-up and mass reduction of railway vehicle usually causes increased of the interior noise. One of the best ways to control the interior noise is to identify the noise level radiated from each of parts in the cabin. In this paper, we describe the method to estimate the interior noise nad evaluate the noise contribution to each of parts. This method is based that the sound pressure can be calculated by using the frequency response function and acceleration. According to analysis of the noise contribution, we validated that the noise radiated from the floor is the higher in the cabin. We also measured the noise distribution for the side and floor by using the microphone array in order to analyze the effect of the noise flowing into the cabin from the outdoors. Finally, we presented the plan of the interior noise reduction based on the noise levels radiated from each of parts.

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Statistical study on the kinematic distribustion of coronal mass ejections from 1996 to 2015

  • Jeon, Seong-Gyeong;Moon, Yong-Jae;Yi, Kangwoo;Lee, Harim
    • 천문학회보
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    • 제42권2호
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    • pp.61.4-62
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    • 2017
  • In this study we have made a statistical investigation on the kinematic classification of coronal mass ejections (CMEs) using about 4,000 SOHO/LASCO CMEs from 1996 to 2015. For this we use their SOHO/LASCO C3 data and exclude all poor events. Using the constant acceleration model, we classify these CMEs into three groups: Acceleration group, Constant Velocity group, and Deceleration group. For classification we adopt four different methods: Acceleration method, Velocity Variation method, Height Contribution method, and Visual Inspection method. Our major results are as follows. First, the fractions of three groups depend on the method used. Second, the results of the Height Contribution method are most consistent with those of the Visual Inspection method, which is thought to be most promising. Third, the fractions of different kinematic groups for the Height contribution method are: Acceleration (35%), Constant speed (47%), and Deceleration (18%). Fourth, the fraction strongly depend on CME speed; the fraction of Acceleration decreases from 0.6 to 0.05 with CME speed; the fraction of Constant increases from 0.3 to 0.7; the fraction of Deceleration increases from 0.1 to 0.3. Finally we present dozens of CMEs with non-constant accelerations. It is found that about 40 % of these CMEs show quasi-periodic oscillations.

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黃砂의 量的推定을 위한 基礎硏究 (Basic Research on the Quantitative Estimation of Yellow Sand)

  • 김동술
    • 한국대기환경학회지
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    • 제6권1호
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    • pp.11-21
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    • 1990
  • To quantitatively estimate the effect of yellow sand(loess) fromt he Northern China, various soil sources having similar chemical compositions to yellow sands should be separated and identified. After that, mass contribution for yellow sand can be calculated. The study showed that it was impossible to solve this problem by the traditional bulk analyses. However, particle-by-particle analysis by a CCSEM (computer controlled scanning electron microscope) gave enormous potentials to solve it. To perform this study, seven soil source data analyzed by CCSEM were obtained from Texas, U.S.A. Initially, each soil date was classified into two groups, coarse and fine particle groups since the particle number distribution showed a minimum occurring at 5.2$\mu$m of aerodynamic diameter. Particles in each group were then classified into one of the 283 homogeneous particle classes by the universal classification rule which had been built by an expert system in the early study. Further, mass fractions and their uncertainties for each class in each source were calculated by the Jackknife method, and then source profile matrix for the 7 soil sources was created. To use the profile matrix in the study of source contribution, it is necessary to test the degree of collinearity among sources. The profiles were tested by the singular value decomposition method. As a result, each soil source characterized by artificially created variables was totally independent each other and is ready to use in source contribution studies as a receptor model.

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내부에너지를 최대로 하는 활 구조의 최적화 (Shape optimization of a bow for maximizing internal-energy)

  • 문명조;이현정
    • EDISON SW 활용 경진대회 논문집
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    • 제5회(2016년)
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    • pp.222-227
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    • 2016
  • In this paper, the optimized design for bow structure was investigated by using EDISON software. Considering the mechanism of the bow, non-linear FEM analysis was essential. The factors of the design are height, width, number of holes and taper value. High performance of the internal energy and lowest mass were main issues. The limit of the von-mises stress was yield strength for the material. Material was chosen by considering typical bow material, Aluminum. Using Taguchi method($L_9$), 9 models were selected and contribution rate was calculated for each factors. Following the contribution rate, 3 factors were fixed and optimized model was predicted. After making optimized model for FEM analysis, the value of internal-energy, mass for FEM model were compared with predicted value, calculated the percentage error and figure out the reliability of Taguchi method.

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콘크리트궤도 부설 철도교량의 동적거동 분석 (Analysis of Dynamic Behavior of Railway Bridge with Concrete Track)

  • 민낙기;성덕룡;박용걸
    • 한국철도학회논문집
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    • 제15권2호
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    • pp.147-153
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    • 2012
  • 철도교량과 같이 주기적 가진에 의해 공진발생의 가능성이 높은 구조물에 있어서, 정확한 구조물의 동적거동 분석은 설계단계 및 공용중 안정적인 응답을 확보하기 위해 필수적이다. 특히, 콘크리트궤도는 강성기여와 질량기여를 통해 철도교량의 동특성을 변화시킬 수 있음에도 불구하고 일반적으로 철도교량 동적해석 시 질량으로만 고려되어진다. 본 연구에서는 실제 콘크리트궤도가 부설된 거더시험체를 제작하여 철도교량의 정 동적거동을 분석하였다. 또한, 궤도질량만을 고려한 경우와 궤도강성을 고려한 수치해석을 통해 중립축 위치와 고유진동수를 실험치와 비교 분석하였다. 이를 통해 콘크리트궤도 부설 철도교량의 경우 정량적인 산정이 가능한 콘크리트궤도의 강성과 질량을 고려한 해석값이 실험값과 근사한 결과를 얻을 수 있음을 확인하였다. 따라서 본 연구에서는 콘크리트궤도 부설 철도교량에 대한 동적설계 및 동적안정성 분석 시 콘크리트궤도의 강성과 질량을 함께 고려할 것을 제안하였다.

충주시 초미세먼지 (PM2.5)의 배출원 기여도 추정에 관한 연구 (Source Apportionment of Fine Particulate Matter (PM2.5) in the Chungju City)

  • 강병욱;이학성
    • 한국대기환경학회지
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    • 제31권5호
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    • pp.437-448
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    • 2015
  • The purpose of this study is to present the source contribution of the fine particles ($PM_{2.5}$) in Chungju area using the CMB (chemical mass balance) method throughout the four seasons in Korea. The Chungju's annual average level of $PM_{2.5}$ was $48.2{\mu}g/m^3$, which exceeded two times higher than standard air quality. Among these particles, the soluble ionic compounds represent 54.2% of fine particle mass. Additionally, the OC concentration in Chungju stayed similar to other domestic cities, while the EC concentration decreased significantly compared to other domestic/international cities. The concentration of sulfur represented the highest composition (8%) among the fine particle compounds. According to the CMB results, the general trend of the $PM_{2.5}$ mass contributors was the following: secondary aerosols (50.5%: ammonium sulfate 26.5% and ammonium nitrate 24.0%) > gasoline vehicle (18.3%) > biomass burning (11.0%) > industrial boiler (6.0%) > diesel vehicles (4.4%). The contribution of the secondary aerosols was the main cause than others. This impact is assumed to be emitted from air pollutants of urban cities or neighbor countries such as China.