• 제목/요약/키워드: Fine Particulate Matter (PM2.5)

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PM10/2.5/1/0 Trichotomous 도입부 설계 밀 성능평가 (Design and performance of Low-Volume PM10/2.5/1.0 Trichotomous Sampler Inlet)

  • Song Chang-Byeong;Kim Hyeon-Tae;Lee Gyu-Won
    • 한국대기환경학회:학술대회논문집
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    • 한국대기환경학회 2002년도 추계학술대회 논문집
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    • pp.358-359
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    • 2002
  • Particulate matter smaller than $10{\mu}textrm{m}$ in aerodynamic diameter (PM10) is known as thoracic particles that are capable of reaching the thoracic region of humans. PM10 is further divided into two size ranges, which are fine particles (nuclei mode plus accumulation mode) and coarse particles, based on different sources and chemical composition. Fine particles can penetrate deep into the alveolar region of the human lungs, while coarse particles be deposited in the upper respiratory system. (omitted)

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농업지역(밭) 암모니아 등 대기오염물질 계절별 모니터링 연구 (Study on the Emission Characteristics of Air Pollutants from Agricultural Area)

  • 김민욱;김진호;김경식;홍성창
    • 한국환경농학회지
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    • 제40권3호
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    • pp.211-218
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    • 2021
  • BACKGROUND: Fine particulate matter (PM2.5) is produced by chemical reactions between various precursors. PM2.5 has been found to create greater human risk than particulate matter (PM10), with diameters that are generally 10 micrometers and smaller. Ammonia (NH3) and nitrogen oxides (NOx) are the sources of secondary generation of PM2.5. These substances generate PM2.5 through some chemical reactions in the atmosphere. Through chemical reactions in the atmosphere, NH3 generates PM2.5. It is the causative agent of PM2.5. In 2017 the annual ammonia emission recorded from the agricultural sector was 244,335 tons, which accounted for about 79.3% of the total ammonia emission in Korea in that year. To address this issue, the agricultural sector announced the inclusion of reducing fine particulate matter and ammonia emissions by 30% in its targets for the year 2022. This may be achieved through analyses of its emission characteristics by monitoring the PM2.5 and NH3. METHODS AND RESULTS: In this study, the PM2.5 concentration was measured real-time (every 1 hour) by using beta radiation from the particle dust measuring device (Spirant BAM). NH3 concentration was analyzed real-time by Cavity Ring-Down Spectroscopy (CRDS). The concentrations of ozone (O3) and nitrogen dioxide (NO2) were continuously measured and analyzed for the masses collected on filter papers by ultraviolet photometry and chemiluminescence. CONCLUSION: This study established air pollutant monitoring system in agricultural areas to analyze the NH3 emission characteristics. The amount of PM2.5 and NH3 emission in agriculture was measured. Scientific evidence in agricultural areas was obtained by identifying the emission concentration and characteristics per season (monthly) and per hour.

Therapeutic Effects of (+)-Afzelechin on Particulate Matter-Induced Pulmonary Injury

  • Sanghee Cho;Yun Jin Park;Jong-Sup Bae
    • Biomolecules & Therapeutics
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    • 제32권1호
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    • pp.162-169
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    • 2024
  • Particulate matter (PM) constitutes a hazardous blend of organic and inorganic particles that poses health risks. Inhalation of fine airborne PM with a diameter of ≤ 2.5 ㎛ (PM2.5) can lead to significant lung impairments. (+)-afzelechin (AZC), a natural compound sourced from Bergenia ligulata, boasts a range of attributes, including antioxidant, antimicrobial, anticancer, and cardiovascular effects. However, knowledge about the therapeutic potential of AZC for patients with PM2.5-induced lung injuries remains limited. Thus, in this study, we investigated the protective attributes of AZC against lung damage caused by PM2.5 exposure. AZC was administered to the mice 30 min after intratracheal instillation of PM2.5. Various parameters, such as changes in lung tissue wet/dry (W/D) weight ratio, total protein/total cell ratio, lymphocyte counts, levels of inflammatory cytokines in bronchoalveolar lavage fluid (BALF), vascular permeability, and histology, were evaluated in mice exposed to PM2.5. Data demonstrated that AZC mitigated lung damage, reduced W/D weight ratio, and curbed hyperpermeability induced by PM2.5 exposure. Furthermore, AZC effectively lowered plasma levels of inflammatory cytokines produced by PM2.5 exposure. It reduced the total protein concentration in BALF and successfully alleviated PM2.5-induced lymphocytosis. Additionally, AZC substantially diminished the expression levels of Toll-like receptors 4 (TLR4), MyD88, and autophagy-related proteins LC3 II and Beclin 1. In contrast, it elevated the protein phosphorylation of the mammalian target of rapamycin (mTOR). Consequently, the anti-inflammatory attribute of AZC positions it as a promising therapeutic agent for mitigating PM2.5-induced lung injuries by modulating the TLR4-MyD88 and mTOR-autophagy pathways.

지하철 미세먼지에 의하여 유발되는 피부염증에 대한 달맞이꽃 뿌리 추출물의 완화 효과 (Relaxing Effect of Evening Primrose Root on Skin Irritation Caused by Particulate Matter in Subway Tunnel)

  • 신명걸;박을용;박덕신;김종태
    • 대한화장품학회지
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    • 제46권2호
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    • pp.119-131
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    • 2020
  • 인간의 피부가 지하철 터널과 같은 외부환경에서 고농도의 입자 먼지(PM2.5, PM10)에 장시간 노출되면 피부에 나쁜 영향을 받게 된다. 특히, 미세입자 먼지는 피부를 손상시켜 염증과 알러지 반응을 일으킨다. 본 연구에서는 달맞이꽃뿌리 추출물이 피부에 미세입자 먼지가 반응하여 피부손상을 유발할 때 피부염증 저해능력을 조사하였다. 입자형태의 먼지는 지하철에서 하루에 가장 높은 농도로 존재할 때 수집하였다. 달맞이꽃뿌리 추출물은 대조군에 비하여 강한 항산화능을 보였다 (62.6%). 미세입자 형태와 달맞이꽃뿌리 추출물의 혼합물은 일산화질소 생성을 억제하여 달맞이꽃뿌리 추출물이 미세입자 먼지에 의하여 유발되는 피부염증을 완화하는 효과가 확인되었다. 달맞이꽃뿌리 추출물은 세포독성이 대조군에 비하여 낮았다. 입자형태의 먼지(PM10)를 세포에 노출시켰을 때 달맞이꽃뿌리 추출물의 농도를 증가시킬수록(5, 10, 20 ㎍/mL) 활성산소 수준이 감소함과 동시에 양성 대조군에 비하여 더욱 효과적이었다. 따라서 본 연구결과는 달맞이꽃뿌리 추출물이 미세입자 형태의 먼지에 의하여 유발되는 피부 손상을 완화시킬 수 있는 효능을 제공하여 피부용 화장품 소재로 활용이 가능함을 입증하였다.

부산지역 미세먼지 최근 경향 분석 - 수도권과 비교연구 (I) (Analysis of Recent Trends of Particulate Matter Observed in Busan - Comparative Study on Busan vs. Seoul Metropolitan Area (I))

  • 김종민;조유진;양금희;허국영;김철희
    • 한국환경과학회지
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    • 제29권2호
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    • pp.177-189
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    • 2020
  • We analyzed the recent characteristics of Particulate Matter (PM) including PM10 (PM with diameter of less than 10 ㎛) and PM2.5 (PM with diameter of less than 2.5 ㎛) observed in Busan metropolitan area, and compared them with those measured in Seoul metropolitan area. This analysis includes the monthly, seasonal, and annual variations and differences, in emissions and chemical compositions observed in both Busan and Seoul areas. Synoptic meteorological conditions were investigated at the time when high PM concentrations occurred in each of the two areas. The results showed clearly decreasing trends of annual mean concentrations with strong seasonal variations: lower in summer and higher in winter in both areas. In comparison with Seoul, the seasonal variation in Busan demonstrated relatively lower, but showed greater summer fluctuations than in Seoul metropolitan area. This is implying the importance of secondary generation of PM in summer via active photochemical reaction in Busan area. In high concentration days, Busan's chemical composition of sulfate was higher than that of nitrate in summer, whereas nitrate was higher than sulfate in Seoul. The ratios of NO3- to SO42-(N/S ratio) showed lower in Busan approximately by a factor of 1/2(half of N/S ratio) in Busan compared with that in Seoul. Others such as synoptic characteristics and emission differences were also discussed in this study.

익산지역에서 봄철 비황사기간 중 입경별 대기먼지농도와 이온조성 (Mass Concentration and Ion Composition of Size-segregated Particulate Matter during the Non-Asian Dust Storm of Spring 2007 in Iksan)

  • 강공언;김남송;이현주
    • 한국환경보건학회지
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    • 제34권4호
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    • pp.300-310
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    • 2008
  • In order to further determine the mass concentration and ion composition of size-segregated particulate matter (PM) during the non-Asian dust storm of spring, $PM_{2.5}$ (fine particle), $PM_{10-2.5}$ (coarse particle), and $PM_{over-10}$ (PM with an aerodynamic diameter larger than $10{\mu}m$) were collected using a MCI (multi-nozzle cascade impactor) sampler of a three-stage filter pack in the spring season of 2007 in the Iksan area. During the sampling period from 5 April to 21 April, a total of 34 samples for size-segregated PM were collected, and then measured for PM mass concentrations by gravimetric measurements and for water-soluble inorganic ion species by using ion chromatography. Average mass concentrations of $PM_{2.5}$, $PM_{10-2.5}$, $PM_{over-10}$ were $35.4{\pm}11.5{\mu}g/m^3$, $13.3{\pm}5.5{\mu}g/m^3$ and $9.5{\pm}4.7{\mu}g/m^3$, respectively. On average, $PM_{2.5}$ accounted for 74% of $PM_{10}$. Compared with the literature from other areas in Korea, the measured concentration of $PM_{2.5}$ were relatively high. Water-soluble inorganic ion fractions in $PM_{2.5}$, $PM_{10-2.5}$, and $PM_{over-10}$ were found to be 47.8%, 28.5%, and 14.7%, respectively. Among the water-soluble inorganic ion species, $SO_4^{2-}$, $NO_3^-$ and $NH_4^+$ were the main components in $PM_{2.5}$, while $NO_3^-$ dominantly existed in both $PM_{10-2.5}$ and $PM_{over-10}$. Non-seasalt $SO_4^{2-}$ (nss-$SO_4^{2-}$ and $NO_3^-$ were found to mainly exist as the neutralized chemical components of $(NH_4)_2SO_4$ and $NH_4NO_3$ in fine particles.

인공지능을 이용한 수도권 학교 미세먼지 취약성 평가: Part I - 미세먼지 예측 모델링 (Vulnerability Assessment for Fine Particulate Matter (PM2.5) in the Schools of the Seoul Metropolitan Area, Korea: Part I - Predicting Daily PM2.5 Concentrations)

  • 손상훈;김진수
    • 대한원격탐사학회지
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    • 제37권6_2호
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    • pp.1881-1890
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    • 2021
  • 미세먼지는 인체에는 물론 생태계, 날씨 등에도 많은 영향을 끼치며, 인구와 건물, 차량 등이 밀집된 대도시에서의 미세먼지의 예측과 모니터링은 중요하다. 특히 자동차, 연소 등에서 발생하는 PM2.5 농도는 독성 물질을 포함할 수 있어 체계적인 관리가 필요하다. 따라서 본 연구는 화학 인자, 위성 기반의 aerosol optical depth (AOD), 기상 인자 등을 입력 자료로 하여 수도권PM2.5 농도를 예측하고자 한다. PM2.5 농도 예측을 위해 기계 학습 모델 중 PM 농도 예측에 우수한 성능을 보이는 random forest (RF) 모델을 선정하였으며, 모델 평가를 위해 통계 지표인 R2, RMSE, MAE, MAPE를 산출하였다. RF 모델의 모델 정확도는 R2, RMSE, MAE, MAPE는 각각 0.97, 3.09, 2.18, 13.31로 나타났으며, 예측 정확도는 각각 0.82, 6.03, 4.36, 25.79로 본 연구에서 사용한 인자들을 이용하여 PM2.5를 예측 시 높은 정확도와 상관성을 나타내었다. 따라서 향후 학교 미세먼지 예측 및 범주화를 위해 본 연구에서 사용한 인자들을 RF 모델에 적용하였을 때 신뢰할만한 결과를 도출할 수 있을 것으로 기대된다.

Numerical Simulation of Extreme Air Pollution by Fine Particulate Matter in China in Winter 2013

  • Shimadera, Hikari;Hayami, Hiroshi;Ohara, Toshimasa;Morino, Yu;Takami, Akinori;Irei, Satoshi
    • Asian Journal of Atmospheric Environment
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    • 제8권1호
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    • pp.25-34
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    • 2014
  • In winter 2013, extreme air pollution by fine particulate matter ($PM_{2.5}$) in China attracted much public attention. In order to simulate the $PM_{2.5}$ pollution, the Community Multiscale Air Quality model driven by the Weather Research and Forecasting model was applied to East Asia in a period from 1 January 2013 to 5 February 2013. The model generally reproduced $PM_{2.5}$ concentration in China with emission data in the year 2006. Therefore, the extreme $PM_{2.5}$ pollution seems to be mainly attributed to meteorological (weak wind and stable) conditions rather than emission increases in the past several years. The model well simulated temporal and spatial variations in $PM_{2.5}$ concentrations in Japan as well as China, indicating that the model well captured characteristics of the $PM_{2.5}$ pollutions in both areas on the windward and leeward sides in East Asia in the study period. In addition, contribution rates of four anthropogenic emission sectors (power generation, industrial, residential and transportation) in China to $PM_{2.5}$ concentration were estimated by conducting zero-out emission sensitivity runs. Among the four sectors, the residential sector had the highest contribution to $PM_{2.5}$ concentration. Therefore, the extreme $PM_{2.5}$ pollution may be also attributed to large emissions from combustion for heating in cold regions in China.

고형연료제품 사용시설에서 배출되는 미세먼지 입경분율 분석 (Analysis of the Fine Particulate Matter Particle Size Fraction Emitted from Facilities Using Solid Refuse Fuel)

  • 유한조;정연훈;김진길;신형순;임윤정;이상수;손해준;임삼화;김종수
    • 한국환경보건학회지
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    • 제46권6호
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    • pp.719-725
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    • 2020
  • Objectives: With the growth of national interest in fine particulate matter, many complaints about pollutants emitted from air pollution emitting facilities have arisen in recent years. In particular, it is thought that a large volume of particulate pollutants are discharged from workplaces that use Solid Refuse Fuel (SRF). Therefore, particulate contaminants generated from SRF were measured and analyzed in this study in terms of respective particle sizes. Methods: In this study, particulate matter in exhaust gas was measured by applying US EPA method 201a using a cyclone. This method measures Filterable Particulate Matter (FPM), and does not consider the Condensable Particulate Matter (CPM) that forms particles in the atmosphere after being discharged as a gas in the exhaust gas. Results: The mass concentration of Total Suspended Particles (TSP) in the four SRF-using facilities was 1.16 to 11.21 mg/Sm3, indicating a very large concentration deviation of about 10 times. When the fuel input method was the continuous injection type, particulate matter larger than 10 ㎛ diameter showed the highest particle size fraction, followed by particulate matter smaller than 10 ㎛ and larger than 2.5 ㎛, and particulate matter of 2.5 ㎛ or less. Contrary to the continuous injection type, the batch injection type had the smallest particle size fraction of particulate matter larger than 10 ㎛. The overall particulate matter decreased as the operating load factor decreased from 100% to 60% at the batch input type D plant. In addition, as incomplete combustion significantly decreased, the particle size fraction also changed significantly. Both TSP and heavy metals (six items) satisfied the emissions standards. The measured value of the emission factor was 38-99% smaller than the existing emissions factor. Conclusions: In the batch injection facility, the particulate matter decreased as the operating load factor decreased, as did the particle size fraction of the particulate matter. These results will help the selection of effective methods such as reducing the operating load factor instead of adjusting the operating time during emergency reduction measures.