• 제목/요약/키워드: Particulate matter pollution

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도시철도 환경의 미세먼지 오염 현황 (Status of particulate matter pollution in urban railway environments)

  • 김종범;이승복;배귀남
    • 실내환경 및 냄새 학회지
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    • 제17권4호
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    • pp.303-314
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    • 2018
  • The urban railway system is a convenient public transportation system, as it carries many people without increasing traffic congestion. However, air quality in urban railway environments is worse than ambient air quality due to the internal location of the source of air pollutants and the isolated space. In this paper, characteristics of particulate matter (PM) pollution in urban railway environments are described from the perspective of diurnal variation, chemical composition and source apportionment of PM. PM concentrations in concourse, platform, passenger cabin, and tunnel are summarized through an analysis of 34 journal articles published in Korea and overseas. This information will be helpful in developing effective policies to reduce PM pollution in urban railway environments.

미세먼지의 건강영향 (Health effects of particulate matter)

  • 배상혁;홍윤철
    • 대한의사협회지
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    • 제61권12호
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    • pp.749-755
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    • 2018
  • Particulate matter is an air pollutant emitted from both natural and anthropogenic sources, and its adverse health effects have been well documented in time-series analyses and cohort studies. The effect size of particulate matter exposure-a roughly 0.5% increase in mortality for each $10{\mu}g/m^3$ increment of short-term exposure to particulate matter with aerodynamic diameter ${\leq}10{\mu}m$ and approximately a 10% increase for each $10{\mu}g/m^3$ increment of long-term exposure to particulate matter with aerodynamic diameter ${\leq}2.5{\mu}m$-is small compared to other risk factors, but the exposure is involuntary and affects the entire population, which makes particulate matter pollution an important public health issue. The World Health Organization and Korean government have both established guidelines for particulate matter concentrations, but the Korean guideline is less stringent than that of the World Health Organization. The annual mean concentration of particulate matter in Korea is decreasing, but the trend seems to be slowing. In addition to policy efforts to reduce particulate matter emission, personal approaches such as the use of face masks and air purifiers have been recommended. Personal approaches may not solve the fundamental problem, but can provide temporary mitigation until efforts to reduce emission make progress.

메타버스 리얼리티를 위한 공유 모빌리티 기반 국부적 미세먼지 관측 기술 연구 (A Study on the Local Particulate Matter Monitoring Technology using Shared-Use Mobilities for Metaverse Reality)

  • 정인택;장봉주
    • 한국멀티미디어학회논문지
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    • 제24권8호
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    • pp.1138-1148
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    • 2021
  • In this study, we developed a 'shared-use mobility'-mounted local particulate matter monitoring terminal technology to measure the actual particulate matter concentration around me. As a mobile terminal device in the form of an IoT sensor platform, it is designed to be separated into a control module and a sensor module to minimize interference between sensors and to consider the optimal observation position of each sensor. As a result of the field test, it was confirmed that particulate matter was locally different depending on time and space even within the same area. In addition, it was confirmed that the concentration of particulate matter in the relevant section differed by up to 100 times compared to the surrounding area due to specific sources of particulate matter such as unpaved roads. In addition, we positively reviewed the applicability of the service in the real-time metaverse environment using this result. Through technological advancement and application of multiple shared-use mobilities, we expect to be able to provide new services for practical smart city air environment monitoring, such as localized particulate matter information, air pollution event information, and identification of causes of particulate matter.

국내 산업 및 시도별 대기오염물질 배출량자료를 이용한 미세먼지 형성 가능성 및 인체 호흡기 영향 평가추정 (Assessment and Estimation of Particulate Matter Formation Potential and Respiratory Effects from Air Emission Matters in Industrial Sectors and Cities/Regions)

  • 김준범
    • 대한환경공학회지
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    • 제39권4호
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    • pp.220-228
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    • 2017
  • 많은 산업 및 도로이동오염원 등으로부터 발생되는 미세먼지는 인간건강과 호흡기에 큰 영향을 미치고 있으며 이에 대한 중요성이 점차 증가하고 있다. 세계보건기구(WHO)에서도 미세먼지($PM_{10}$) 및 초미세먼지$PM_{2.5}$)를 석면 및 비소 등의 물질과 같은 등급인 1급 발암물질로 지정한 이후로 우리나라에서도 지속적인 관심과 연구를 진행해오고 있다. 현재 환경부와 각 지자체별로 미세먼지 및 대기오염정보를 구축하여 제공하고 있지만, 특히 미세먼지 주의보 및 경보발령에 있어서 미세먼지 $PM_{10}$$PM_{2.5}$ 자료만을 활용하고 있고 미세먼지형성에 영향을 주는NOx, SOx, $NH_3$자료는 활용 및 고려를 하지 않고 있다. 또한 국내 산업별 및 지자체별로 세부적인 미세먼지형성 가능성(particulate matter formation potential) 및 발생되는 미세먼지로 인한 인체호흡기 영향평가(respiratory effects)와 관련된 연구는 많이 진행이 되고 있지 않다. 이에 본 연구의 목적은 국내 11개 산업별 및 시도별로 2001년과 2013년 환경부 및 국립환경과학원에서 제시하고 있는 NOx, SOx, $PM_{10}$, $NH_3$ 자료를 활용하여 미세먼지형성(particulate matter formation potential) 평가와 이로 인한 인체 호흡기 영향을 평가 및 산정하여 비교 제시하고자 하였다. 본 연구결과로는 산업별 및 시도별로 미세먼지형성과 인간건강에 영향을 제시하였으며, 향후 미세먼지 관련 연구에 중요하게 활용할 수 있을 것으로 사료된다.

다층 퍼셉트론 신경망을 이용한 미세먼지 AQI 지수 예측 (Particulate Matter AQI Index Prediction using Multi-Layer Perceptron Network)

  • 조경우;이종성;오창헌
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.540-542
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    • 2019
  • 미세먼지로 인한 대기오염 및 인체 영향에 대한 많은 발표로 인해 미세먼지 예보는 많은 대중의 관심을 받고 있다. 이로 인해 통계 모델링 기법과 함께 기계학습 기법을 사용하여 미세먼지 예보 정확도를 올리기 위한 다양한 노력이 수행되고 있다. 본 논문에서는 미세먼지 예측을 위해 다층 퍼셉트론 신경망을 활용한 미세먼지 AQI 지수 예측을 수행한다. 이를 위해 다수의 연구에서 공통적으로 사용된 기상 인자와 미세먼지 농도값을 이용하여 예측 모델을 설계하고 4단계의 미세먼지 AQI 예측 정확도를 비교한다.

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실내 미세먼지 및 소음 모니터링 시스템 설계 및 구현 (Design and Implementation of an Indoor Particulate Matter and Noise Monitoring System)

  • 조현태
    • 대한임베디드공학회논문지
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    • 제17권1호
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    • pp.9-17
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    • 2022
  • As the COVID-19 pandemic situation worsens, the time spent indoors increases, and the exposure to indoor environmental pollution such as indoor air pollution and noise also increases, causing problems such as deterioration of human health, stress, and discord between neighbors. This paper designs and implements a system that measures and monitors indoor air quality and noise, which are representative evaluation criteria of the indoor environment. The system proposed in this paper consists of a particulate matter measurement subsystem that measures and corrects the concentration of particulate matters to monitor indoor air quality, and a noise measurement subsystem that detects changes in sound and converts it to a sound pressure level. The concentration of indoor particulate matters is measured using a laser-based light scattering method, and an error caused by temperature and humidity is compensated in this paper. For indoor noise measurement, the voltage measured through a microphone is basically measured, Fourier transform is performed to classify it by frequency, and then A-weighting is performed to correct loudness equality. Then, the RMS value is obtained, high-frequency noise is removed by performing time-weighting, and then SPL is obtained. Finally, the equivalent noise level for 1 minute and 5 minutes are calculated to show the indoor noise level. In order to classify noise into direct impact sound and air transmission noise, a piezo vibration sensors is mounted to determine the presence or absence of direct impact transmitted through the wall. For performance evaluation, the error of particulate matter measurement is analyzed through TSI's AM510 instrument. and compare the noise error with CEM's noise measurement system.

Deposition Process of Sulfate and Elemental Carbon in Japanese and Thai Forests

  • Sase, Hiroyuki;Matsuda, Kazuhide;Visaratana, Thiti;Garivait, Hathairatana;Yamashita, Naoyuki;Kietvuttinon, Bopit;Hongthong, Bundit;Luangjame, Jesada;Khummongkol, Pojanie;Shindo, Junko;Endo, Tomomi;Sato, Keiichi;Uchiyama, Shigeki;Miyazawa, Masamitsu;Nakata, Makoto;Lenggoro, I. Wuled
    • Asian Journal of Atmospheric Environment
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    • 제6권4호
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    • pp.246-258
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    • 2012
  • Particulate matter deposited on leaf surfaces may cause erosion/abrasion of epicuticular wax and the malfunction of stomata. However, the deposition processes of particulate matter, such as elemental carbon (EC), has not been studied sufficiently in Asian forest ecosystems. Deposition processes for particulate ${SO_4}^{2-}$ and EC were studied in a Japanese cedar forest in Kajikawa, Niigata Prefecture, Japan, and in a dry evergreen forest and a dry deciduous forest in Sakaerat, Nakhon Ratchasima province, Thailand. The ${SO_4}^{2-}$ fluxes attributed to rainfall outside the forest canopy (RF), throughfall (TF), and stemflow (SF) showed distinct seasonalities at both sites, increasing from November to February at the Kajikawa site and in March/April at the Sakaerat site. Seasonal west/northwest winds in winter may transport sulfur compounds across the Sea of Japan to the Kajikawa site. At the Sakaerat site, pollutants suspended in the air or dry deposits from the dry season might have been washed away by the first precipitations of the wet season. The EC fluxes from RF and TF showed similar variations by season at the Kajikawa site, while the flux from TF was frequently lower than that from RF at the Sakaerat site. Particulate matter strongly adsorbed onto leaf surfaces is not washed away by rainfall and contributes to the EC flux. At the Kajikawa site, Japanese cedar leaf surfaces accumulated the highest levels of particulate matter and could not be neglected when calculating the total flux. When such leaf-surface particles were considered, the contribution of dry deposition to the total EC flux was estimated to be 67%, 77%, and 82% at the Kajikawa site, and at the evergreen and deciduous forests of the Sakaerat site, respectively. Leaf-surface particles must be included when evaluating the dry and total fluxes of particulate matter, in particular for water-insoluble constituents such as EC.

배출가스 저감장치(DPF) 부착에 따른 사회적 편익 추정 (Estimating Social Benefits According to Exhaust Gas Reduction Devices (DPF))

  • 최성규;김용달;김호경;배진민
    • 자동차안전학회지
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    • 제10권3호
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    • pp.27-31
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    • 2018
  • The People have a bad perception about diesel vehicle because of serious air pollution, increase fine dust and global vehicle company's diesel gate. Starting the project in 2005, Ministry of Environment has been supporting that is exhaust gas reduction devices (DPF) on diesel vehicles in the metropolitan area. During the period of 2017.01.01 to 2017.12.31, 10,030 diesel vehicles installed exhaust gas reduction devices (DPF). Among them, 9,921 diesel vehicles that they have sufficient data for analysis were analyzed amount of particulate matter reduction before and after exhaust gas reduction devices (DPF) was installed. Opacity smoke meter measures the concentration of particulate matter. So concentration of particulate matter was converted into a mass unit, and then calculated the total amount of reduced particulate matter. It was estimated that social benefits is costs required to remove it from the total amount of particulate matter.