• 제목/요약/키워드: PSCF model

검색결과 14건 처리시간 0.035초

PSCF 모형의 개발과 제어변수의 결정 (Development of PSCF Model and Determination of Proper Values of Control Parameters)

  • 정장표;이승훈
    • 한국대기환경학회지
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    • 제22권1호
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    • pp.135-143
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    • 2006
  • The objective of this study is to develop PSCF (potential source contribution function) program and determine the optimal values of control parameters to enhance the prediction of PSCF modeling. This study provides an important information and methodologies that can be used to get better results of locating influencing sources, especially unknown and fugitive sources. To determine proper values of control parameters in PSCF model, the diagnostic assessment on the results obtained by the various input conditions was carried out. PSCF model has created and improved from version 1.0 to version 7.0 since 200 I and the measured data (at least > 100) of receptor, and the values of control input parameters should be arranged and determined to obtain reliable results in PSCF modeling. The size of modeling domain must be determined to include enough trajectories to get reliable results. And the size of grid is recommended to be 2.5 $\sim$ 5 degrees for global scale, 0.2 $\sim$ 1 degrees for regional scale and 0.05 degree for local scale.

PSCF 모델을 활용한 부산지역 PM10의 발생원 추정 (Estimation of PM10 source locations in Busan using PSCF model)

  • 도우곤;정우식
    • 한국환경과학회지
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    • 제24권6호
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    • pp.793-806
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    • 2015
  • The purpose of this study is to find out the air flow patterns affecting the PM10 concentration in Busan and the potential sources within each trajectory pattern. The synoptic air flow trajectories are classified into four clusters by HYSPLIT model and the potential sources of PM10 are estimated by PSCF model for each cluster from 2008 to 2012. The potential source locations of PM10 are compared with the distribution of PM10 anthropogenic emissions in east Asia developed in 2006 for the NASA INTEX-B mission. The annual mean concentrations of PM10 in Busan decreased from $51ug/m^3$ in 2008 to $43ug/m^3$ in 2012. The monthly mean concentrations of PM10 were high during a spring season, March to May and low during a summer season, August and September. The cluster2 composed of the air trajectories from the eastern China to Busan through the west sea showed the highest frequency, 44 %. The cluster1 composed of the air trajectories from the inner Mongolia region to Busan through the northeast area of China showed the second high frequency, 26 %. The cluster3 and 4 were composed of the trajectories originated in the southeast sea and the east sea of Busan respectively and showed low frequencies. The concentrations of in each cluster were $47ug/m^3$ in cluster1, $56ug/m^3$ in cluster2, $42ug/m^3$ in cluster3 and $37ug/m^3$ in cluster4. From these results, it was proved that the cluster1 and 2 composed of the trajectories originated in the east and northeast area of China were the causes of high PM10 concentrations in Busan. The results of PSCF and CWT model showed that the potential sources of the high PM10 concentrations were the areas of the around Mongolia and the eastern China having high emissions of PM10 from Beijing, Hebei to Shanghai through Shandong, Jiangsu.

Hybrid receptor model을 이용한 대기 중 총 가스상 수은의 오염원 위치 추정 연구 (Identifications of Source Locations for Atmospheric Total Gaseous Mercury Using Hybrid Receptor Models)

  • 이용미;이승묵;허종배;홍지형;이석조;유철
    • 한국환경과학회지
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    • 제19권8호
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    • pp.971-981
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    • 2010
  • The objectives of this study were to measure ambient total gaseous mercury (TGM) concentrations in Seoul, to analyze the characteristics of TGM concentration, and to identify of possible source areas for TGM using back-trajectory based hybrid receptor models like PSCF (Potential Source Contribution Function) and RTWC (Residence Time Weighted Concentration). Ambient TGM concentrations were measured at the roof of Graduate School of Public Health building in Seoul for a period of January to October 2004. Average TGM concentration was $3.43{\pm}1.17\;ng/m^3$. TGM had no notable pattern according to season and meteorological phenomena such as rainfall, Asian dust, relative humidity and so on. Hybrid receptor models incorporating backward trajectories including potential source contribution function (PSCF) and residence time weighted concentration (RTWC) were performed to identify source areas of TGM. Before hybrid receptor models were applied for TGM, we analysed sensitivities of starting height for HYSPLIT model and critical value for PSCF. According to result of sensitivity analysis, trajectories were calculated an arrival height of 1000 m was used at the receptor location and PSCF was applied using average concentration as criterion value for TGM. Using PSCF and RTWC, central and eastern Chinese industrial areas and the west coast of Korea were determined as important source areas. Statistical analysis between TGM and GEIA grided emission bolsters the evidence that these models could be effective tools to identify possible source area and source contribution.

Profile-based Service Continuity Framework for N-Screen Service

  • Chung, Young-Sik;Paik, Eui-Hyun;Rhee, Woo-Seop
    • International Journal of Contents
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    • 제8권1호
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    • pp.47-54
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    • 2012
  • The dynamic adaptation between various service environments using the application profiles for the service continuity is a key issue of the profile-based service continuity framework (PSCF) for N-screen service using next generation networks. PSCF offers an optimized service framework for providing continuous user services, which are multimedia video streaming, educational broadcasting, game, etc., using the various devices that are not restricted by the service environment of the user. This paper specifies the functional model of PSCF, service scenario and explains the experimental results of the service continuity for N-screen service using PSCF.

통계분석을 이용한 경산 지역의 초미세먼지(PM2.5) 농도 특성 파악 (Characteristics of PM2.5 in Gyeongsan Using Statistical Analysis)

  • 이개초;황인조
    • 한국대기환경학회지
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    • 제31권6호
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    • pp.520-529
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    • 2015
  • The ambient $PM_{2.5}$ samples were collected by $PM_{2.5}$ sampler from September 2010 to December 2012 at Daegu University, Gyeongsan. A total of 260 samples were collected and 27 species were analyzed by inductively coupled plasma, ion chromatography, and thermal optical reflectance methods. Factor analysis identified four sources such as biomass burning source/secondary aerosol source, soil source, industry source, and incinerator source/mobile source. Also, backward trajectories were calculated using HYSPLIT 4 (Hybrid single-particle lagrangian integrated trajectory) model and PSCF (Potential source contribution function) model was applied to identify the possible source locations of carbonaceous species and water soluble ions species. PSCF results showed that the possible source locations of most chemical constituents measured in Gyeongsan were the industrial areas in the eastern coast of China, northeast regions of China, the Gobi Desert, and east sea of Korea.

지역적인 규모에서의 PSCF 모형의 적용 및 검증 (Application and Verification of PSCF Model for Regional Scale data)

  • 정장표;이승훈;장영환;이승묵
    • 한국대기환경학회:학술대회논문집
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    • 한국대기환경학회 2003년도 추계학술대회 논문집
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    • pp.123-124
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    • 2003
  • 산업의 발달로 인한 대기오염의 심각화 현상은 국지적인 현상을 뛰어넘어 지역적인 문제로까지 확산되고 있다. 황사 현상의 경우만 하더라도 이제는 한국, 중국, 일본 만의 문제가 아닌 미국 서부해안까지도 그 영향을 받는 것으로 보고 되고 있다. 이처럼 국가간 장거리 이동오염물질의 관측 및 평가에 즈음하여 우리나라에서도 중국 및 일본과 함께 동북아시아 지역에서의 장거리 이동오염물질에 대한 연구를 활발히 진행하고 있다. (중략)

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