• 제목/요약/키워드: PM(particulate matter)

검색결과 832건 처리시간 0.029초

Efficiency of Removal of Indoor Pollutants by Pistia stratiotes, Eichhornia crassipes and Hydrocotyle umbellata

  • Park, Hye-Min;Lee, Ae-Kyung
    • 인간식물환경학회지
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    • 제23권1호
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    • pp.15-21
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    • 2020
  • In this study, we compared efficiency of different aquatic plants in removing indoor pollutants and examined their potential to purify indoor air. Two liter of water in chamber was used as the control, while the other chambers containing water lettuce (Pistia stratiotes), water hyacinth (Eichhornia crassipes), and water coin (Hydrocotyle umbellata) were used as treatment groups. Temperatures inside all the chambers were maintained between 20 ℃ and 23 ℃. Humidity in the chambers with aquatic plants increased by 30% and 50% control respectively. The removal of formaldehyde per unit leaf area was examined in each aquatic plant. It turned out that water hyacinth removed the highest amount of formaldehyde, followed by water lettuce and water coin. Both water hyacinth and water lettuce increased the amount of removal of formaldehyde until the end of the experiment. In the case of airborne dust (PM 10) and fine dust (PM 2.5), water coin, which had the highest number of leaves, removed more PM 10 and PM 2.5 than the other aquatic plants, with statistically significant difference. In addition, both water coin and water hyacinth smoothly opened and closed stomata before and after the experiment. Consequently, as the aquatic plants were effective in controlling humidity and removing pollutants, they can be used as air purifying plants.

Urban Particulate Matter-Induced Oxidative Damage Upon DNA, Protein, and Human Lung Epithelial Cell (A549): PM2.5 is More Damaging to the Biomolecules than PM10 Because of More Mobilized Transition Metals

  • Song, H-S;Chang, W-C;Bang, W-G;Kim, Y-S;Chung, N
    • 한국환경독성학회:학술대회논문집
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    • 한국환경독성학회 2002년도 추계국제학술대회
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    • pp.169-169
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    • 2002
  • The mobilizable amount of transition metals is a fraction of the total amount of the metal from urban particulate matter. Although the fraction is small, some metals (Fe, Cu) are the major participants in a reaction that generates reactive oxygen species (ROS), which can damage various biomolecules. Damaging effects of the metals can be measured by the single strand breakage (SSB) of X174 RFI DNA or the carbonyl formation of protein. In another study, we have shown that more metals are mobilized by PM2.5 than by PM10 in general. DNA SSB of >20% for PM2.5 and >15% for PM10 was observed in the presence of chelator (EDTA or citrate)/reductant (ascorbate), compared to the control (<3%) only with the chelator. The carbonyl formation by both PMs was very similar in the presence of the chelator, regardless of the kind of proteins. Compared to the control in the absence of chelator/reductant, 3.3 times and 4.9 times more carbonyl formation for PM2.5 and PM10, respectively, was obtained with BSA in the presence of chelator/reductant, showing that PM10 induced 33% more damage than PM2.5. However, 4.8 times and 1.9 times more carbonyl formation for PM2.5 and PM10, respectively, was observed with lysozyme in the presence of chelator/reductant, showing that PM2.5 induced 250% more damage than PM10. Although different proteins showed different sensitivities toward ROS, all these results indicate that the degrees of the oxidation of or damage to the biomolecules by the mobilized metals were higher with PM2.5 than with PM10. Therefore, it is expected that more metals mobilized from PM2.5 than from PM10, more damage to the biomolecules by PM2.5 than by PM10. We suggest that when the toxicity of the dust particle is considered, the particle size as well as the mobilizable fraction of the metal should be considered in place of the total amounts.

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압축 착화 엔진에서 기존 및 저온 디젤 연소에서 발생하는 배기가스의 입자상 물질에 관한 특성 비교 (Assessment of Particulate Matters from an Exhaust Gas for Conventional and Low Temperature Diesel Combustion in a Compression Ignition Engine)

  • 정용진;신현동;배충식
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2012년도 제45회 KOSCO SYMPOSIUM 초록집
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    • pp.183-186
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    • 2012
  • The characteristics of particulate matters (PM) from an exhaust gas for conventional and low temperature diesel combustion (LTC) in a compression ignition engine was experimentally investigated by the elemental, thermogravimetric analysis. Morphology of PM was also studied by the transmission electron microscopy. PM for LTC shows that it contains more volatile hydrocarbons, which can be easily evaporated than conventional regime. PM for LTC is comprised of smaller primary particles.

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Estimation of ambient PM10 and PM2.5 concentrations in Seoul, South Korea, using empirical models based on MODIS and Landsat 8 OLI imagery

  • Lee, Peter Sang-Hoon;Park, Jincheol;Seo, Jung-young
    • 농업과학연구
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    • 제47권1호
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    • pp.59-66
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    • 2020
  • Particulate matter (PM) is regarded as a major threat to public health and safety in urban areas. Despite a variety of efforts to systemically monitor the distribution of PM, the limited amount of sampling sites may not provide sufficient coverage over the areas where the monitoring stations are not located in close proximity. This study examined the capacity of using remotely sensed data to estimate the PM10 and PM2.5 concentrations in Seoul, South Korea. Multiple linear regression models were developed using the multispectral band data from the Moderate-resolution imaging spectro-radiometer equipped on Terra (MODIS) and Operational Land Imager equipped on Landsat 8 (Landsat 8) and meteorological parameters. Compared to MODIS-derived models (r2 = 0.25 for PM10, r2 = 0.30 for PM2.5), the Landsat 8-derived models showed improved model reliabilities (r2 = 0.17 to 0.57 for PM10, r2 = 0.47 to 0.71 for PM2.5). Landsat 8 model-derived PM concentration and ground-truth PM measurements were cross-validated to each other to examine the capability of the models for estimating the PM concentration. The modeled PM concentrations showed a stronger correlation to PM10 (r = 0.41 to 0.75) than to PM2.5 (r = 0.14 to 0.82). Overall, the results indicate that Landsat 8-derived models were more suitable in estimating the PM concentrations. Despite the day-to-day fluctuation in the model reliability, several models showed strong correspondences of the modeled PM concentrations to the PM measurements.

분위수 부스팅을 이용한 미세먼지 농도 예측 (Particulate Matter Prediction using Quantile Boosting)

  • 권준현;임예지;오희석
    • 응용통계연구
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    • 제28권1호
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    • pp.83-92
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    • 2015
  • 고농도 미세먼지($PM_{10}$)에 노출되는 것은 호흡기 질환 뿐만 아니라 피부, 안구, 심혈관계 질환 등을 야기한다. 따라서 미세먼지 농도를 정확히 예측하는 방법을 개발하는 것은 국민건강과도 깊은 관련이 있다. 현재 국립환경과학원에서는 미세먼지 농도가 높은 "나쁜날씨"를 예측하기 위해 의사결정나무 모형을 사용하고 있다. 그러나 모형 자체의 불안정성은 차치하더라도 의사결정나무는 전체 데이터의 9%밖에 차지하지 않는 "나쁜날씨"를 예측하기에 적합하지 못하다. 본 논문에서는 국립환경과학원에서 사용하는 모형의 부정확성과 부적절성을 제시하는 한편, 분위수 손실 함수를 적용한 새로운 모형의 유용성을 제시한다. 그리고 새로운 모형의 성능을 여러 ${\tau}$ 값에 대해 평가하고 비교를 통해 기존 모형 교체의 타당성을 보인다.

미세먼지(PM10)의 지역적 대푯값 산정 방법에 관한 연구 - 서울특별시를 대상으로 (Estimation of Representative Area-Level Concentrations of Particulate Matter(PM10) in Seoul, Korea)

  • 송인상;김선영
    • 한국지리정보학회지
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    • 제19권4호
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    • pp.118-129
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    • 2016
  • 미세먼지($PM_{10}$)의 건강영향에 대한 많은 연구들은 정부의 대기오염 측정자료를 이용해서 악영향을 보고했다. 정부 대기오염 측정자료가 제한된 수의 측정소에서 생산되는 반면, 사망률이나 유병률과 같은 정부생산 건강결과 자료는 지역별로 집계되어 공개된다. 따라서 정부에서 생산하는 건강통계자료를 이용해서 건강영향을 분석하기 위해서는, $PM_{10}$ 농도의 지역적인 대푯값을 산출할 필요가 있다. 본 연구에서는 서울특별시를 대상으로 이전 연구에서 개발된 점 사상에 대한 $PM_{10}$ 농도 예측 모형을 이용하여 구별 대푯값을 산정하였다. 이를 위해, 세 가지 종류의 위치들을 대상으로 지점들을 생성한 후, 그 지점들에 예측한 $PM_{10}$ 농도의 구별 평균으로 구별 대푯값을 구했다. 세 가지 위치는 16,230개 집계구 내 가장 넓은 주거지역의 중심점, 424개 동 주민센터, 610개 1km 격자의 중심점이었다. 위치별 구별 대푯값들을 비교하기 위하여 측정치와의 관련성 및 추정치 간 관련성을 탐색하였다. 측정치와의 비교 결과, 측정치와 세 가지 구별 대푯값 추정치들 간의 관련성은 위치의 인구 대표성이 높아짐에 따라 향상되었고($R^2=0.06-0.59$), 상호비교에서는 격자 중심점을 이용한 추정치가 다른 추정치들과의 관련성이 상대적으로 낮았다(0.35-0.47). 본 연구는 $PM_{10}$의 지역별 평균 농도를 추정함으로써 향후 정부 통계에 기반한 전국 규모의 지역 단위 건강영향분석 연구에 기여할 수 있을 것으로 기대된다.

지역간 상대위험도 변동을 고려한 미세먼지 기인 질병부담 및 사회경제적 비용 추정 연구 (Health and Economic Burden Attributable to Particulate Matter in South Korea: Considering Spatial Variation in Relative Risk)

  • 변가람;최용수;길준수;차준일;이미혜;이종태
    • 한국환경보건학회지
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    • 제47권5호
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    • pp.486-495
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    • 2021
  • Background: Particulate matter (PM) is one of the leading causes of premature death worldwide. Previous studies in South Korea have applied a relative risk calculated from Western populations when estimating the disease burden attributable to PM. However, the relative risk of PM on health outcomes may not be the same across different countries or regions. Objectives: This study aimed to estimate the premature deaths and socioeconomic costs attributable to long-term exposure to PM in South Korea. We considered not only the difference in PM concentration between regions, but also the difference in relative risk. Methods: National monitoring data of PM concentrations was obtained, and missing values were imputed using the AERMOD model and linear regression model. As a surrogate for relative risk, hazard ratios (HRs) of PM for cardiovascular and respiratory mortality were estimated using the National Health Insurance Service-National Sample Cohort. The nation was divided into five areas (metropolitan, central, southern, south-eastern, and Gangwon-do Province regions). The number of PM attributable deaths in 2018 was calculated at the district level. The socioeconomic cost was derived by multiplying the number of deaths and the statistical value of life. Results: The average PM10 concentration for 2014~2018 was 45.2 ㎍/m3. The association between long-term exposure to PM10 and mortality was heterogeneous between areas. When applying area-specific HRs, 23,811 premature deaths from cardiovascular and respiratory disease in 2018 were attributable to PM10 (reference level 20 ㎍/m3). The corresponding socioeconomic cost was about 31 trillion won. These estimated values were higher than that when applying nationwide HRs. Conclusions: This study is the first research to estimate the premature mortality caused by long-term exposure to PM using relative risks derived from the national population. This study will help precisely identify the national and regional health burden attributed to PM and establish the priorities of air quality policy.

Analysis of Relationship between Construction Accidents and Particulate Matter using Big Data

  • Lee, Minsu;Jeong, Jaewook;Jeong, Jaemin;Lee, Jaehyun
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.128-135
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    • 2022
  • Because construction work is conducted outdoors, construction workers are affected by harmful environmental factor. Especially, Particulate Matter (PM10) is one of the harmful environmental factors with a diameter of 10㎍/m3 or less. When PM10 is inhaled by human, it can cause fatal impact on the human. Contrary to the various analyses of health impact on PM10, the research on the relationship between construction accidents and PM10 are few. Therefore, this study aims to conduct the relative frequency analysis which find out the correlation between construction accidents and PM10, and the modified PM10 grade is suggested to expect accidents probability caused by PM10 in the construction industry. This study is conducted by four steps. i) Establishment of the database; ii) Classification of data; iii) Analysis of the Relative Frequency of accidents in the construction industry by PM10 concentration; iv) Modified PM10 groups to classify the impact of PM10 on accident. In terms of frequency analysis, the most accidents were occurred in the average concentration of PM10 (32㎍/m3). However, we found that the relative frequency of accident was increased as the concentration of PM10 increased. This means the higher PM10 concentration can cause more accidents during construction. In addition, PM10 concentration was divided as 6 groups by the WHO, but the modified PM10 grade by the relative frequency on accident was suggested as 3 groups.

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자동차 도장시설에서 발생하는 유해대기오염물질 및 미세먼지의 배출특성에 관한 연구 (The Study on the Emission Characteristics of HAPs and PM from the Motor Vehicle Paint Facility)

  • 김한나;봉춘근;김용구;전준민
    • 한국대기환경학회지
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    • 제29권6호
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    • pp.713-721
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    • 2013
  • This study is about emission characteristics of HAPs and particulate matters emitted by spray of paint and organic solvent usually used in vehicle paint facilities. To analyze emission characteristics of HAPs and particulate matters emitted from vehicle paint facilities are calculated based on the measuring emission quantity of pollutants based on the amount of paint used (kg) and unit area ($m^2$) by paint manufacturers (J company, K company, and R company). In cases of paint manufacturers (J, K, and R), average emission factors of VOCs, carbonyl compound, particulate matter, and PAHs per 1 kg of paint were 327.81 g/kg, 5.98 g/kg, 336.70 g/kg, and 0.0078 g/kg respectively. The average emission factors of VOCs, carbonyl compounds, particulate matters, and PAHs by unit area were $171.55g/m^2$, $3.10g/m^2$, $176.27g/m^2$, and $0.0036g/m^2$ respectively.

지하역사내 식생바이오필터의 입자상 오염물질 저감특성 연구 (Study on Particulate Pollutant Reduction Characteristics of Vegetation Biofilters in Underground Subway Stations)

  • 김태한;오지은;김미주
    • 반도체디스플레이기술학회지
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    • 제21권4호
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    • pp.99-105
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    • 2022
  • Public attention to the indoor environment of underground subway stations, which is a representative multi-use facility, has been increasing along with the increase in indoor activities. In underground stations, fine iron oxide, which affects the health of users, is generated because of the friction between wheels and rails. Among particulate pollutant reduction technologies, plants have been considered as a non-chemical air purification method, and their effects in reducing certain chemical species have been identified in previous studies. The present study aimed to derive the total quantitative and qualitative reduction effects of a bio-filter system comprising air purifying plants, installed in an underground subway station. The experiment proceeded in two ways. First, PM(particulate matter) reduction effect by vegetation biofilter was monitored with the IAQ(indoor air quality) station. In addition, chemical speciation analysis conducted on the samples collected from the experimental and control areas where plants and irrigation using SEM-EDS(scanning electron microscopy-energy dispersive X-ray spectroscopy). This study confirmed the effect of the vegetation bio-filter system in reducing the accumulation of particulate pollutants and transition and other metals that are harmful to the human body.