• 제목/요약/키워드: Air particulates

검색결과 124건 처리시간 0.024초

서해안 대가 분진의 화학 조성 및 기원에 대한 연구 (1) (Chemical Composition and Sources of Atmospheric Particulates Collected on the West Coast of Korea)

  • 최만식;조성록;이동수
    • 한국대기환경학회지
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    • 제5권2호
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    • pp.72-83
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    • 1989
  • Twenty-five atmospheric particulates were collected using a high volume aerosol sampler from Septermber to December, 1988 on a site located on the West coast of Korea and analysed for twelve elements (Na, Mg, Al, Mn, Fe, Cu, Co, Ni, Zn, Ag, Cd, and Pb) by AAS. The particles being mainly crustal minerals, large quantity of spherical fly ashes were also observed. In order to identify the origin of trace metals in atmospheric particulates, enrichment factor, interelemental correlation and factor analysis were performed. Based upon these analysis, the twelve elements can be classified into three groups; the elements dominantly present in soil particles (Al, Mn, Fe, Co, and Ni), those in sea salt aerosols (Na and Mg), and those in air pollution-derived particles (Cu, Cd, Pb, Ag and Zn).

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공동주택 전열교환기 필터종류 및 두께에 따른 미세먼지 제거율 평가 (Evaluation of Particulate Matter Removal Rate according to Filter Type and Thickness of Total Heat Exchanger in Apartment Houses)

  • 송용우
    • 토지주택연구
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    • 제11권4호
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    • pp.93-98
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    • 2020
  • This study examined the particulate removal performance of three different types of air filters inside a heat exchanger. Of interest was the ability of each filter type in reducing the transmission of outdoor particulate matter of PM10 from entering an apartment while the heat exchanger was in operation. The study tested one commonly used medium filter (E11 grade) and two HEPA filters (H13 grade) of different thicknesses. Two different concentrations of particulate matter were used in the experiment to address different ambient air quality conditions in Korea, 32.75 ㎍/㎥ and 67.26 ㎍/㎥. Study results indicated that under the particulate matter concentration of 32.75 ㎍/㎥, all three filters were capable of removing more than 95% of the fine dust. However at a particulate matter concentration of 67.26 ㎍/㎥, the medium E11 grade filter was only able to remove about 90% of the particulates whereas the HEPA H13 grade filters were able to remove 95% or more of the particulates. The thicker HEPA filter (40T) was also more effective in removing particulates than the thinner HEPA filter (20T) by about 1.6 to 3 percentage points. Based on the findings of this study, it is recommended that HEPA filters of 20T thickness or greater be used during the high air pollution seasons of winter and spring in Korea while medium filters can be used during the other seasons to reduce outdoor air pollution transmission indoors.

익산시의 부유먼지에 관한 연구 (Studies on the Total Suspended Particulates in Iksan City.)

  • 전병영
    • 환경위생공학
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    • 제14권4호
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    • pp.158-164
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    • 1999
  • This study was carried out to investigate total suspended particulates (TSP) in Iksan area collected by nine stages Anderson air sampler and High volume air sampler from Jul. 1996 to Jul. 1998.The results are as follows1. The average of TSP concentration to be collected by Anderson air sampler and High volume air sampler in Iksan city are $59{\mu}g/m^3$, $67{\mu}g/m^3$. It was below the level of environmental standard. 2. The average of TSP concentration by measured method are HVAS > AS > Gov. 3. The average of TSP concentration on seasonal change are higher spring than winter. It were $65.5{\mu}g/m^3$ of Spring, $57{\mu}g/m^3$ of Summer, $52.5{\mu}g/m^3$ of Fall, $61{\mu}g/m^3$ of Winter. 4. Particle size 3istribution of atmospheric particulate was divided into two groups, coarse group was made by particles larger than $1.1-2.1{\mu}m$ in diameter and fine groups smaller than $1.1-2.1{\mu}m$ in diameter. about 50% of total suspended particle measured by Anderson air sampler during the sampling period was coarse particle.

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Atmospheric Polycyclic and Nitropolycyclic Aromatic Hydrocarbons in an Iron-manufacturing City

  • Hayakawa, Kazuichi;Tang, Ning;Morisaki, Hiroshi;Toriba, Akira;Akutagawa, Tomoko;Sakai, Shigekatsu
    • Asian Journal of Atmospheric Environment
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    • 제10권2호
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    • pp.90-98
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    • 2016
  • Total suspended particulates (TSP) in the atmosphere were collected for 2 weeks during winter in Muroran, Hokkaido, Japan, a typical iron-manufacturing city. The concentrations of polycyclic aromatic hydrocarbons (PAHs) and nitropolycyclic aromatic hydrocarbons (NPAHs) in TSP were determined by high-performance liquid chromatography (HPLC) using fluorescence and chemiluminescence detectors, respectively. No relationship was observed between the atmospheric PAH and NPAH concentration, or the atmospheric PAH and TSP concentration. However, there was a tendency that the atmospheric PAH concentration was higher when the wind blew from the coke-oven plant. Furthermore, the concentration ratios of 1-nitropyrene to pyrene, which is a suitable indicator of the contribution made by automobiles and coal combustion systems to urban air particulates, were smaller in Muroran and the values were close to those observed in particulates from coal combustion systems. Therefore, these results show that the PAH and NPAH compositions for Muroran are characteristic of an iron-manufacturing city.

등엔트로피 궤적에 의한 황사의 장거리 이동 경로 분석 (Isentropic Analysis for the Long Range Trajectories of Yellow Sands)

  • 윤순창;박경선
    • 한국대기환경학회지
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    • 제7권2호
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    • pp.89-95
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    • 1991
  • Yellow sands often occur in Korea during April and May each year, and they are believed to come from the Mongolian Gobi desert as the snow starts to melt in Spring time. Since the analysis of aerosol particulates can hardly distinguish the origin of particulates, the isentropic analysis of meteorological data is often used for the trajectories of the long range transport of yellows sand or air pollutants. The yellow sand case of April 9 $\sim$ 15, 1988, in Korea is analyzed for the identification of long range transport of yellow sands and their trajectories in East Asia, using isentropic analyses. We have tranformed the ECMWF grid data, analyzed in pressure coordinates, into the isentropic coordinates and then have traced the 286 K and 290 K air mass which started Gobi desert. The result shows the transport of yellow sands from the Gobi desert to the Korean peninsula.

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간접흡연의 정량적 노출측정 방법의 고찰 (Review of Various Quantitative Methods to Measure Secondhand Smoke)

  • 임수길;김정윤;임완령;손홍지;이기영
    • 한국환경보건학회지
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    • 제35권2호
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    • pp.100-115
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    • 2009
  • Secondhand smoke (SHS) is one of major public health threats. Since secondhand smoke is complex mixture of toxic chemicals, there has been no standardized method to measure SHS quantitatively. The purpose of this manuscript was to review various quantitative methods to measure SHS. There are two different methods: air monitoring and biological monitoring. Air monitoring methods include exhaled carbon monoxide level, ambient fine particulates, nicotine and 3-ethenylpyridine. Measurement of fine particulates has been utilized due to presence of real-time monitor, while fine particulates can have multiple indoor sources other than SHS. Ambient nicotine and 3-EP are more specific to SHS, although there is no real-time monitor for these chemicals. Biological monitoring methods include nicotine in hair, cotinine in urine, NNK in urine and DNA adducts. Nicotine in hair can provide chronic internal dose, while cotinine in urine can provide acute dose. Since biological monitoring can provide total internal dose, identification of specific exposure source may be difficult. NNK in urine can indicate carcinogenicity of the SHS exposure. DNA adducts can provide overall cancer causing exposure, but not specific to SHS. While there are many quantitative methods to measure SHS, selection of appropriate method should be based on purposes of assessment. Application of accurate and appropriate exposure assessment method is important for understanding health effects and establishing appropriate control measures.

GENERATION OF p-DINITROBENZENE ATMOSPHERE AND METHEMOGLOBIN FORMATION IN RATS

  • Kim, Young-Chul
    • Toxicological Research
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    • 제5권2호
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    • pp.97-104
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    • 1989
  • A new exposure system was developed to generate p-dinitrobenzene (p-DNB) containing atmosphere. A glass column was filled with small glass beads coated with the chemical. The p-DNB containing medium was heated to a temperature beyond the boiling point of p-DNB. A stream of air flow was forced to pass through the column and let it mixed with fresh air before introducing into an inhalation chamber. The concentration of p-DNB in the chamber air was measured by direct assaying the air directly and by sampling the chemical using a microfilter installed in the chamber.

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Gent Air Sampler와 중성자방사화분석을 이용한 대전지역의 대기분진중 미량금속 측정연구 (Monitoring of Trace Elements and Airborne Particulates in Taejon Areas using Neutron Activation Analysis and Gent Air Sampler)

  • 정용삼;문종화;김선하;백성열;박광원
    • 한국대기환경학회:학술대회논문집
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    • 한국대기환경학회 2000년도 춘계학술대회 논문집
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    • pp.330-332
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    • 2000
  • 삶의 질 향상을 위한 쾌적한 대기환경의 관리 유지는 우리 모두의 관심사중의 하나이다. 호흡기관을 통해 인체내로 흡입되는 $PM_{10}$ 대기분진은 자연적이고 인위적인 발생원에 의해 다양한 미량원소들을 함유하고 있기 때문에 흔히 환경영향 평가를 위한 대기관측시료로 이용되고 있으며, 특히 $PM_{2.5}$ 분진의 질량농도(TSPM)나 원소의 농도가 높을 때 장.단기적으로 인체 보건에 큰 영향을 미치는 것으로 알려져 있다. (중략)

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Detection of Phototoxicity and Photogenotoxicity on Airborne Particulates in Sapporo and Shenyang

  • Wakuri, Shinobu;Akutagawa, Tomoko;Matsumoto, Hiroshi;Tanaka, Noriho
    • 한국독성학회:학술대회논문집
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    • 한국독성학회 2003년도 추계학술대회
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    • pp.112-112
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    • 2003
  • Air pollution is made up by complex mixture exhausted from cars, industries and incinerators etc. Those pollutants come from everywhere without border and contain phototoxic and photogenotoxic chemicals including PAHs exhausted in the air. We have published that the chemicals which show phototoxicity and photogenotoxicity are closely related in mechanistic and the PAHs react as a strong photocatalyzer by radical productions under UV exposure.(omitted)

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Vision-based Predictive Model on Particulates via Deep Learning

  • Kim, SungHwan;Kim, Songi
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.2107-2115
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    • 2018
  • Over recent years, high-concentration of particulate matters (e.g., a.k.a. fine dust) in South Korea has increasingly evoked considerable concerns about public health. It is intractable to track and report $PM_{10}$ measurements to the public on a real-time basis. Even worse, such records merely amount to averaged particulate concentration at particular regions. Under this circumstance, people are prone to being at risk at rapidly dispersing air pollution. To address this challenge, we attempt to build a predictive model via deep learning to the concentration of particulates ($PM_{10}$). The proposed method learns a binary decision rule on the basis of video sequences to predict whether the level of particulates ($PM_{10}$) in real time is harmful (>$80{\mu}g/m^3$) or not. To our best knowledge, no vision-based $PM_{10}$ measurement method has been proposed in atmosphere research. In experimental studies, the proposed model is found to outperform other existing algorithms in virtue of convolutional deep learning networks. In this regard, we suppose this vision based-predictive model has lucrative potentials to handle with upcoming challenges related to particulate measurement.