• Title/Summary/Keyword: PM2.5 concentration

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Comparison of the fine particle concentrations in Seoul and other foreign mega-cities (서울과 외국 대도시의 미세입자 조성 비교)

  • Hong, Seon Yeh;Lee, Jung Jin;Lee, Ji Yeon;Kim, Yong Pyo
    • Particle and aerosol research
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    • v.4 no.1
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    • pp.1-7
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    • 2008
  • Temporal trends of the PM10 and PM2.5 mass concentrations, and the concentrations of chemical species (sulfate, nitrate, ammonium, OC, and EC) in PM2.5 at Seoul are compared with the reported results from other mega cities in the world. The mass concentrations of PM10 and PM2.5 at Seoul show decreasing trend. However, the concentration levels are still higher than other cities except Beijing. The sulfate concentration at Seoul has decreased while those of nitrate and ammonium have increased. The concentrations of OC and EC show no apparent trend.

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Size distributions of suspended fine particles during cleaning in an office (사무실의 실내 청소 과정에서 부유하는 미세먼지의 크기분포)

  • Ji, Jun-Ho
    • Particle and aerosol research
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    • v.14 no.2
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    • pp.25-33
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    • 2018
  • In this study, the concentration of fine indoor dust and the size distribution of fine indoor dust were analyzed by measuring the dust generated during the cleaning process of an indoor office. We measured $PM_{10}$, $PM_{2.5}$, and $PM_{1.0}$ and analyzed the size distributions of dust larger than $0.3{\mu}m$ in diameter during cleaning. The results showed that the concentration of $PM_{10}$ increased rapidly during cleaning, however $PM_{1.0}$ did not increase. Before cleaning with a broom, the fine dust concentration was about $50{\mu}g/m^3$, but increased to about $400{\mu}g/m^3$ as cleaning progressed. In the case of indoor cleaning with a vacuum cleaner, the concentration of $PM_{10}$ increased during the cleaning process and the increase of $PM_{2.5}$ was relatively small. $PM_{1.0}$ did not increase as in the case of cleaning the broom.

Analysis of Input Factors of DNN Forecasting Model Using Layer-wise Relevance Propagation of Neural Network (신경망의 계층 연관성 전파를 이용한 DNN 예보모델의 입력인자 분석)

  • Yu, SukHyun
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1122-1137
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    • 2021
  • PM2.5 concentration in Seoul could be predicted by deep neural network model. In this paper, the contribution of input factors to the model's prediction results is analyzed using the LRP(Layer-wise Relevance Propagation) technique. LRP analysis is performed by dividing the input data by time and PM concentration, respectively. As a result of the analysis by time, the contribution of the measurement factors is high in the forecast for the day, and those of the forecast factors are high in the forecast for the tomorrow and the day after tomorrow. In the case of the PM concentration analysis, the contribution of the weather factors is high in the low-concentration pattern, and that of the air quality factors is high in the high-concentration pattern. In addition, the date and the temperature factors contribute significantly regardless of time and concentration.

Comparison of the Real-time Measurements for PM2.5 and Quality Control Method (PM2.5 자동측정장비 비교 및 정도관리 방안)

  • Park, Mikyung;Park, Jin Su;Jo, Mira;Lee, Yong Hwan;Kim, Hyun Jae;Oh, Jun;Choi, Jin Soo;Ahn, Joon Young;Hong, You Deog
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.6
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    • pp.616-625
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    • 2017
  • Measurements using five real-time particle samplers were compared to measurements using three NRM (National Reference Method system) filter-based samplers(Gravimetric method) at Incheon, Korea, between May and August, 2014. The purpose of this study was to suggest the quality assurance/quality control (QA/QC) method of each instrument for use in a real-time continuous particle sampler to measure the mass of airborne particles with an aerodynamic diameter less than $2.5{\mu}m$ ($PM_{2.5}$). Five real-time particle samplers of BAM1020, FH62C_14, TEOM, PM-711 and SPM-613 were evaluated by comparing its measured 23 hr average $PM_{2.5}$ concentrations with those measured with NRM filter-based samplers simultaneously. The parameters(e.g. Inlet heating condition, Slope factor, Film response, Intercept, Background, Span value) of the real-time samplers were optimized respectively by conducting test performance evaluation during 7 days in field sampling. For example, inlet heating temperature of TEOM sampler controls $35{\sim}40^{\circ}C$ to minimize the fluctuation of the real-time measurement data and background value of BAM1020 is the key factor affecting the accuracy of $PM_{2.5}$ mass concentration. We classified the $PM_{2.5}$ concentration according to relative humidity (80%) to identify water absorbed in aerosols by measuring the ${\beta}$-ray samplers(BAM1020, FH62C_14) and TEOM. ${\beta}$-ray samplers were not strongly affected by relative humidity that the difference of the average $PM_{2.5}$ concentration was about 5%. On the other hand, The TEOM sampler overestimated $PM_{2.5}$ mass concentration about 15% at low relative humidity (<80%).

A Study on the Characteristics of Carbonaceous Compounds in PM2.5 Measured in Chuncheon and Seoul (춘천과 서울에서 측정한 PM2.5 내 탄소성분의 농도 특성에 관한 연구)

  • Jung, Jin-Hee;Kim, Sung-Rak;Choi, Bo-Ra;Kim, Kye-Sun;Huh, Jong-Bae;Yi, Seung-Muk;Han, Young-Ji
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.2
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    • pp.141-153
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    • 2009
  • $PM_{2.5}$ samples were collected from December 2005 through November 2007 in two cities including Chuncheon and Seoul in order to investigate the characteristics of carbonaceous aerosol. The average $PM_{2.5}$ concentration in Seoul ($43.2{\mu}g/m^3$) was approximately 1.2 times higher than that measured in Chuncheon ($36.1{\mu}g/m^3$), however there was no statistical difference on $PM_{2.5}$ concentration between those two cities. Backward trajectories were passing through Seoul area before arriving Chuncheon for about half of the samples, and $PM_{2.5}$ largely increased in Chuncheon when back-trajectories originated from Seoul area. Total carbon (TC) was calculated as sum of OC and EC, contributing 20.5% and 29.2% to total $PM_{2.5}$ mass in Chuncheon and Seoul, respectively. The average ratio of secondary organic carbon (SOC) to total OC was 40% at both sites, and the highest SOC concentration was observed in summer probably due to enhanced volatilization of organic species and active photochemical reaction. J value was calculated to determine if acidic condition affected the increase of secondary organic carbon. In both Chuncheon and Seoul SOC/OC ratios were fairly enhanced when J<100% of acidic condition.

Differentiation of Thyroid Gland and Changes of Thyroid Hormone Concentration during Early Development of Black Rockfish, Sebastes schlegeli (조피볼락, Sebastes schlegeli 자치어의 갑상선 분화 및 갑상선호르몬의 변화)

  • Kang, Duck-Young;Chung, Ee-Yung;Chang, Young-Jin
    • Development and Reproduction
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    • v.5 no.1
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    • pp.39-45
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    • 2001
  • Black rockfish Sebastes schlegeli is one of scopaenid fish giving birth to yolk-sac larvae and distributed around the coast of Korea and Japan, and is one of main species which is cultured in Korea. The difffrentiation of thyroid gland and the changes of thyroid hormones (THs) concentrations in the whole body during early development of this species were examined and the relationship between thyroid gland and their growth will be presented. Total length (TL) and body weight (BW) of the larva at the parturition were 6.3${\pm}$0.1 mm and 3.6${\pm}$0.1 mg, respectively. The larvae transformed to juvenile after 30th day after parturition. According to Hoshiai(1977), they had gown into stage Fl (TL 13.2${\pm}$0.9 mm, BW 46.5${\pm}$1.5 mg) at 50th day. The thyroid gland of black rockfish was first observed histologically in hatching larvae in mother fish. The larvae just after parturition have 1${\sim}$3 of the thyroid follicles diffrentiated between basibranchial bone and ventral aorta, at the base of the first gill arch. In this time, thyroid follic1e number (TFN),thyroid follicle diameter (TFD) and thyroid cell height (TCH) were 1.6${\pm}$0.8 pieces/inds., 18.1${\pm}$0.6 ${\mu}$m and 4.1${\pm}$0.2 ${\mu}$m, respectively. TFN and TFD at 50th day were increased to 32.5${\pm}$6.9 pieces/inds. and 41.5${\pm}$1.7 ${\mu}$m, respectively. These results indicate that they are related to the growth of black rockfish during early development. However, TCH indicates that the activity of thyroid gland appearedat special day, eg. 5, 20 and 50th day, suggesting that TCH may have some role in the physiological activity. L-thyroxine (T$_4$)concentration decreased sharply to 10 days after parturition, and at 25th day (metamorphosis stage) increased markedly to 3.44${\pm}$0.93ng/g fish. After this time, T$_4$ concentration decreased at 35th day, but then increasedagain to the highest concentration, 5.63${\pm}$0.70ng/g fish. 3,5,3'-triiodo-L-thyronine (T$_3$) concentration declined sharply from just after pafurition (4.96${\pm}$1.90 ng/g fish) to 5th day (0.30${\pm}$0.07 ng/g fish). However T$_3$ concentration increased markedly to 0.95${\pm}$0.11 ng/g fish at 30th day and then did not significantly change until 45th day, increased also sharply to 1.67${\pm}$0.23 ng/g fish at 50th day.

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Analysis of PM2.5 Case Study Burden at Chungju City (충주시 미세입자 (PM2.5) 농도특성에 대한 사례 연구)

  • Lee, Sung-Hee;Kang, Byung-Wook;Yeon, Ik-Jun;Choi, Jun-Rack;Park, Hyun-Pill;Park, Sang-Chan;Lee, Hak Sung;Cho, Byung-Yeol
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.5
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    • pp.595-605
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    • 2012
  • Fine particles ($PM_{2.5}$) were collected and analyzed from April 2010 through January 2011 in Chungju to investigate the characteristics of $PM_{2.5}$ and its ionic species. The annual mean concentrations of $PM_{2.5}$, ${SO_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$ in the particulate phase were 40.84, 7.61, 7.14 and $3.74{\mu}g/m^3$, respectively. $PM_{2.5}$ concentrations were higher in fall and spring than in winter and summer. The elevated concentrations episodes are the main factor that enhanced the $PM_{2.5}$ concentrations in the fall. Among the major ionic species ${SO_4}^{2-}$ showed the highest concentration, followed by $NO_3{^-}$ and $NH_4{^+}$, $NO_3^-$ exhibited higher concentrations during the winter, but ${SO_4}^{2-}$ and $NH_4{^+}$ were not showed seasonal variation. The high correlations were found among $PM_{2.5}$, ${SO_4}^{2-}$, $NO_3{^-}$ and $NH_4{^+}$ during all seasons except for spring. The evaluation of backward trajectories and meteorological records show that the highest $PM_{2.5}$ concentration levels occurred during W-NW weather conditions, which influenced by the emission sources of China area. The low pollution levels generally occurred during E-S weather conditions, which influenced by the East Sea and south of the Yellow Sea. The elevated $PM_{2.5}$ mass concentrations arouse the concentration of $NO_3{^-}$, but no effects on ${SO_4}^{2-}$ and $NH_4{^+}$.

Characteristics of $PM_{2.5}$ in Kanghwa (강화에서의 $PM_{2.5}$ 특성)

  • 최민규;여현구;임종억;조기철;김희강
    • Journal of Korean Society for Atmospheric Environment
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    • v.16 no.6
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    • pp.573-583
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    • 2000
  • In order to investigate the characteristics of PM(sub)2.5 in the background area, the following pollutant were measured from February 1996 to June 1999 in Kanghwa: PM(sub)2.5 mass, sulfate, nitrate, chloride, ammonium, sodium, calcium, magnesium and potassium. The mean concentration of PM(sub)2.5 mass was 25.8$\pm$1.2$\mu\textrm{g}$/㎥(range 5.18~85.74). This value was higher than the annual PM(sub)2.5 US NAAQS(15$\mu\textrm{g}$/㎥) and the total number of samples higher than the 24-h PM(sub)2.5 US NAAQS(65$\mu\textrm{g}$/㎥) was seven. PM(sub)2.5 masses also showed temporal variations both yearly and seasonally. Total water soluble ions constituted about 45% of PM(sub)2.5 miss, and sulfate, nitrate and ammonium were main components in water soluble ions. Compared with the literature data from other areas, the measured PM(sub)2.5 concentrations were relatively high.

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Chemical Characteristics of Heavy Metals of PM2.5 in Atmosphere (대기 중 PM2.5의 중금속 성분의 화학적 특성)

  • Jeon, Hye-Li;Choi, Su-Hyeon;Im, Ji-Young;Park, Hee-Jin;Hong, Eun-Ju;Son, Bu-Soon
    • Journal of Environmental Health Sciences
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    • v.38 no.3
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    • pp.233-240
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    • 2012
  • Objectives: The changes in atmospheric $PM_{2.5}$ concentrations were extensively studied in one metropolitan city (Incheon), two small and medium sized cities (Gunsan, Cheonan), and a rural area (Gosan in Jeju). The concentrations of heavy metals (Cr, Mn, Fe, Ni, Cu, Zn, Al, Pb) and the component features of $PM_{2.5}$ were determined for these areas. Methods: This study sampled $PM_{2.5}$ at the designated locations in the metropolitan (Incheon), small and medium sized cities (Gunsan in Jeonbuk and Cheonan in Chungnam), and rural area (Gosan in Jeju) to investigate concentrations with a sampling device (Sequential sampler, APM Eng., Korea). Sampling was undertaken over months, from June 26 to November 26, 2009. Sampling was conducted a total of 44 times, with routine sampling at intervals of six days (24 total times) and intensive sampling (20 total times) during the summer and fall. Mass concentration of $PM_{2.5}$ was evaluated and the concentrations of heavy metals (Cr, Mn, Fe, Ni, Cu, Zn, Al, Pb) were analyzed. Results: The geometric average of concentrations of $PM_{2.5}$ per district was $35.289{\mu}g/m^3$ for Cheonan, $29.955{\mu}g/m^3$ for Incheon, $24.119{\mu}g/m^3$ for Gunsan, and $18.773{\mu}g/m^3$ for Jeju, respectively. The average concentration of $PM_{2.5}$ in Cheonan was the highest. The seasonal concentration distributions per district showed Cheonan $33.387{\mu}g/m^3$, Incheon at $31.550{\mu}g/m^3$, Gunsan $22.900{\mu}g/m^3$, and Jeju $18.900{\mu}g/m^3$ in the summer. For the autumn, the concentrations were $36.873{\mu}g/m^3$ in Cheonan, $28.625{\mu}g/m^3$ in Incheon, $25.227{\mu}g/m^3$ in Gunsan, and $18.667{\mu}g/m^3$ in Jeju. According to the collected data, the concentration showed a tendency to rise during the autumn in all of these regions with the exception of Incheon. For heavy metal distribution per district, Fe showed an elevated concentration during the summer while high concentrations of Pb and Zn occurred during the autumn. Conclusion: These results demonstrated that atmospheric factors affected the concentrations of heavy metals. The results of this study could be used as foundational data for setting environmental air standards focusing on a $PM_{2.5}$ receptor.

Analysis of Meteorological Factors when Fine Particulate Matters Deteriorate in Urban Areas of Jeju Special Self-Governing Province (제주특별자치도 도시지역 미세먼지 악화 시 기상요소 분석)

  • Sin, Jihwan;Jo, Sangman;Park, Sookuk
    • Ecology and Resilient Infrastructure
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    • v.9 no.1
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    • pp.36-58
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    • 2022
  • In this study, the weather conditions corresponding to the increase in the environmental concentration of fine dust (PM10) and ultrafine dust (PM2.5) from 2001 to 2019 in Jeju and Seogwipo cities were analyzed. The increase in the levels of PM10 and PM2.5 was observed in the order: spring > winter > autumn > summer. In both cities, PM10 and PM2.5 levels increased more frequently during the day in spring and summer and at night in autumn and winter, with PM2.5 showing a greater increase in concentration than PM10. The air temperature and wind speed corresponding with increased levels of PM10 were higher than their respective seasonal averages in spring and winter, but lower in summer and autumn. Relative humidity was lower than the seasonal average during all seasons. The air temperature variation corresponding with increased levels of PM2.5 showed the same seasonal trend as that observed for PM10. The relative humidity was higher than the respective seasonal averages in spring and summer, and lower in winter. The wind speed was lower than the seasonal average in both the cities. When the PM10 and PM2.5 levels increased, the wind direction was from the north and the west during the day and varied according to the season at night. The rate of the increase in the PM10 concentration was the highest in both cities at the wind speed of 1.6 - 3.4 ms-1 during the day and night except during night in the summer. The highest concentration of PM2.5 was observed with the wind speed range of 1.6 - 3.4 ms-1 in Jeju, and 0.3 - 1.6 ms-1 in Seogwipo. The results of this study applied to urban and landscape planning will aid in the formulation of strategies to reduce the adverse effects of fine particular matter.