• Title/Summary/Keyword: PSCF

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Spacial Distribution of PM1.0 Major Compounds from Long Range Transport at the Baegryungdo Super Site: Relationship between PSCF and Cluster Analysis (백령도에서 관측된 장거리 유입 PM1.0의 주성분 공간 분포: PSCF 및 군집분석 관계)

  • Oh, Sea-Ho;Lee, Taehyoung;Park, Taehyun;Ahn, Joon-Young;Park, Jin-Soo;Choi, Jin-Soo;Park, Gyutae;Bae, Min-Suk
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.4
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    • pp.411-423
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    • 2017
  • The spacial potential source contribution function (PSCF) method was utilized by considering topography and height of back trajectories based on the measurement of organic typo matter (OM), $NO_3{^-}$, $SO{_4}^{2-}$, and $NH_4{^+}$ at the Baegryungdo Super Site ($37^{\circ}57^{\prime}N$, $124^{\circ}37^{\prime}E$, 135 m a.s.l. (above sea level)) for three selected periods (i.e., January~April, May~August, and September~December) in 2013. The PSCF were calculated on the contributions of trans-boundary transport to the hourly mean concentrations using a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). The cluster analysis using back trajectories was performed to identify the major airflows to the sampling site. The upper atmosphere in the Tianjin area of China and the lower atmosphere in the western coast area of Korea can be the major source of trans-boundary pollution to the sampling site during January~April resulted from PSCF. The area in Lianyungang-city and Liaoning-sheng, China can be responsibile for the nitrogen related secondary compounds during May~August, and Shandong Peninsula in China is the major source area during September~December. In addition, relationships between the cluster analysis of back trajectories and PSCF were investigated for the statistically significance level for the source areas.

Study of Optimization and Characteristics of PSCF3737(Pr0.3Sr0.7Co0.3Fe0.7O3) for IT-SOFC (중저온형 SOFC를 위한 PSCF3737(Pr0.3Sr0.7Co0.3Fe0.7O3) 공기극 물질의 특성 및 최적화께 관한 연구)

  • Park, Kwang-Jin;Lee, Chang-Bo;Kim, Jung-Hyun;Baek, Seung-Wook;Bae, Joong-Myeon
    • Journal of the Korean Electrochemical Society
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    • v.10 no.3
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    • pp.207-212
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    • 2007
  • [ $PSCF3737(Pr_{0.3}Sr_{0.7}Co_{0.3}Fe_{0.7}O_3)$ ] is a good candidate cathode material for IT-SOFC(intermediate temperature solid oxide fuel cell) because of high MIEC(mixed ionic electronic conductor) conductivity. In this study, the characteristics of PSCF3737 was investigated and optimizations of sintering temperature and thickness for $PSCF3737(Pr_{0.3}Sr_{0.7}Co_{0.3}Fe_{0.7}O_3)$ was carried out. Impedance responses were divided into two parts by frequency region. Middle frequency part (${\sim}10^2\;Hz$) was concerned with oxygen reduction reaction on surface and low frequency part (${\sim}10^{-1}\;Hz$) was related with oxygen diffusion. The reasonable sintering temperature and thickness of cathode were $1200^{\circ}C$ and about $27\;{\mu}m$ with regard to EIS(electrochemical impedance spectroscopy). ASR(areas specific resistance) of optimized cathode is $0.115\;{\Omega}\;cm^2$ at $700^{\circ}C$.

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

  • Do, Woo-Gon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.6
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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.

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

  • Li, Kai Chao;Hwang, InJo
    • Journal of Korean Society for Atmospheric Environment
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    • v.31 no.6
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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.

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

  • 정장표;이승훈;장영환;이승묵
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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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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The Application of PSCF model to Locate Atmospheric Pollutant Sources (대기배출원 위치 규명을 위한 PSCF 모델의 적용)

  • 정장표;이승훈;장영환;조효정;장남익;이승묵;김상헌
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2001.11a
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    • pp.171-172
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    • 2001
  • 본 연구는 1999년 6월부터 시작된 주암호에 대한 대기침적 특성과 오염기여도평가 결과를 토대로, 주암호 수질보전대책을 수립하는데 필수적인 기여 배출원을 규명하기 위해 수행되고 있다. 주암호로 침적되는 오염물질의 양을 효과적으로 줄이기 위해서는 배출원과 피해지점간의 관계를 평가 할 수 있는 모형의 개발과 이용이 필수적이다. (중략)

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Identification of Potential Source Locations of PM2.5 in Seoul using Hybrid-receptor Models (하이브리드 수용모델을 이용한 서울시 PM2.5 오염원의 위치 추적)

  • Kang, Byung-Wook;Kang, Choong-Min;Lee, Hak-Sung;SunWoo, Young
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.6
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    • pp.662-673
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    • 2008
  • Two hybrid receptor models, potential source contribution function (PSCF) and concentration weighted tracjectory (CWT), were compared for locating $PM_{2.5}$ sources contributing to the atmospheric $PM_{2.5}$ concentrations in Seoul. The source contribution estimates by chemical receptor model (CMB) receptor model were used to identify better source areas, Among the sources, soil, agricultural burning, marine aerosol, coal-fired power plant and Chinese aerosol were only considered for the study because these sources were more likely to be associated with the long-range transport of air pollutant. Both methods are based on combining chemical data with calculated air parcel backward trajectories. However, the PSCF analyses were performed with trajectories above the $75^{th}$ percentile criterion values, while the CWT analyses used all trajectories. This difference resulted in locating of different sources, which might be helpful to interpret locating of $PM_{2.5}$ sources, High possible source areas in source contribution of soil and agricultural burning contributing to the Seoul $PM_{2.5}$ were inland areas of Heibei and Shandong provinces (highest density areas of agricultural production and population) in China. The "Chinese aerosol" was used as a representative source for the $PM_{2.5}$ originated from urban area in China. High possible source areas for the aerosol were the cities in China where are relatively close to the receptor. This result suggests that Chinese aerosol is likely to be a useful tool in studies on source apportionment and identification in Korea.

Source Identification and Estimation of Source Apportionment of Ambient PM2.5 at Western National Park Site in USA (미국 서부 국립공원 지역의 미국 서부 국립공원 지역의 PM2.5에 대한 오염원 확인 및 기여도 추정)

  • Hwang, In-Jo
    • Journal of Korean Society for Atmospheric Environment
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    • v.26 no.1
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    • pp.21-33
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    • 2010
  • The objective of this study was to estimate the $PM_{2.5}$ source apportionment at the Pinnacles National Monument IMPROVE site in western coastal USA. The PMF was applied to identify the existing sources and apportion the $PM_{2.5}$ mass to each source. To analyze local source impacts from various wind directions, the NPR analysis was performed using source contribution results with the wind direction values measured at the site. Also, PSCF was applied to identify the locations by point sources relative to the back trajectories. A total of 1,634 samples were collected from March 1988 to May 2004 by IMPROVE sampler and 32 chemical species were analyzed by PIXE, PESA, XRF, IC, and TOR methods. The PMF modeling identified seven sources and the average mass was apportioned to gasoline vehicle, secondary sulfate, aged sea salt, secondary nitrate, wood/field burning, diesel emission, and soil, respectively. In this study, the average mass was apportioned to gasoline vehicle (33.0%), secondary sulfate (25.7%), aged sea salt (17.8%), and secondary nitrate (10.1%). Also, this study suggests the possible role for source apportionment study of $PM_{2.5}$ at similar areas such as wildness, national park, and coastal areas in Korea.

Assessing the Altitudinal Potential Source Contribution Function of Aerosol Optical Depth in the West Coast of Korean Peninsula during the DRAGON-KORUS-AQ Campaign (DRAGON-KORUS-AQ 기간 중 서해안 지역 에어로졸 광학 두께 고도별 PSCF 분석)

  • Oh, Sea-Ho;Kim, Jhoon;Shon, Zang-Ho;Bae, Min-Suk
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.1
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    • pp.19-30
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    • 2017
  • The altitudinal potential source contribution function (PSCFa) method was developed by considering topography and height of back trajectories. The PSCFa calculated on the contributions of trans-boundary transport to the hourly mean concentrations of aerosol optical depth (AOD) of the Aerosol Robotic Network (AERONET) in the Distributed Regional Aerosol Gridded Observation Networks (DRAGON) KORea-US Air Quality (KORUS-AQ) campaign from March 31 to July 1 in 2016. Eastern China ($33^{\circ}N{\sim}35^{\circ}N$ and $119^{\circ}E{\sim}121^{\circ}E$) can be the major source of trans-boundary pollution to the western area in South Korea resulted from PSCFa (0~700 m). In this study, AOD by Moderate Resolution Imaging Spectroradiometer (MODIS) was compared to verify the source regions. Regionally, the effects of the long-range transport of pollutants from the eastern China on air quality in south Korea have become more significant over this period.

Estimate of Regional and Broad-based Sources for PM2.5 Collected in an Industrial Area of Japan

  • Nakatsubo, Ryouhei;Tsunetomo, Daisuke;Horie, Yosuke;Hiraki, Takatoshi;Saitoh, Katsumi;Yoda, Yoshiko;Shima, Masayuki
    • Asian Journal of Atmospheric Environment
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    • v.8 no.3
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    • pp.126-139
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    • 2014
  • In order to estimate the influence of sources on $PM_{2.5}$ in the industrial area of Japan, we carried out a source analysis using chemical component data of $PM_{2.5}$. $PM_{2.5}$ samples were collected intermittently at an industrial area in Japan from July 2010 to November 2012. Water soluble ions ($Cl^-$, $NO_3{^-}$, $SO{_4}^{2-}$, $Na^+$,$NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$), elements (Al, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Sb, Pb), and carbonaceous species (OC, EC) of the $PM_{2.5}$ (a total of 198 samples) were analyzed. Positive Matrix Factorization (PMF) model was applied to the data of those chemical components to identify the source of $PM_{2.5}$. At this observation site, nine factors were extracted. The major contributors of $PM_{2.5}$ were secondary sulfate 1, in which loading factors of $SO{_4}^{2-}$ and $NH_4{^+}$ were large (percentage source contribution: 20.9%), traffic, in which loading factors of OC (organic carbon) and EC (elemental carbon) were large (20.8%), secondary sulfate 2, in which loading factors of K and $SO{_4}^{2-}$ were large (8.0%), steel mills (7.8%), secondary chloride and nitrate (7.0%), soil (5.0%), heavy oil combustion (3.8%), sea salt (3.8%), and coal combustion (2.3%). The conditional probability function (CPF) and the potential source contribution function (PSCF) were carried out to examine the influence of a regional source and a broad-based source, respectively. CPF results supported local source influences such as steel mills, sea salt, traffic, coal combustion, and heavy oil combustion. PSCF results suggested that ships in the East China Sea, an industrial area of the east coastal region of China, and an active volcano in the Kyushu region of Japan were potential regional sources of secondary sulfate 1. Secondary sulfate 2 was affected by the burning of biomass fields and by coal combustion in Chinese urban areas such as Beijing, Hebei, and western Inner Mongolia. Source characterization using continuous data from one site showed a potential source representing fossil fuel combustion is affected both by regional and broad-based sources.