• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 대한화학회지
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• 제58권3호
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• pp.267-276
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• 2014

국내 배경지역인 제주도 한라산 1100 고지에서 2012년 가을철에 $PM_{10}$, $PM_{2.5}$ 미세먼지를 채취하여 이온 및 원소 성분을 분석한 결과로부터 대기경계층(ABL) 미세먼지의 화학조성과 입자크기별 분포 특성을 조사하였다. $PM_{2.5}$ 미세입자($d_p$ < $2.5{\mu}m$)에서는 2차 오염물질인 nss-$SO{_4}^{2-}$, $NH_4{^+}$, $NO_3{^-}$ 농도가 각각 4.84, 1.98, $1.27{\mu}g/m^3$로 상대적으로 높고, 전체 질량의 58.2%를 차지하였다. 반면에 $PM_{10-2.5}$ 조대입자($2.5{\mu}m$ < $d_p$ < $10{\mu}m$)에서는 이들 세 성분의 농도가 각각 0.63, 0.21, $1.10{\mu}g/m^3$로 전체 질량의 22.8%를 차지하였다. 또 수용성 이온성분들 중 $NH_4{^+}$, nss-$SO{_4}^{2-}$, $K^+$, $CH_3COO^-$은 주로 미세입자에 분포하고, $NO_3{^-}$은 미세입자와 조대입자에 고르게 분포하나, $Na^+$, $Cl^-$, $Mg^{2+}$, nss-$Ca^{2+}$은 조대입자에 더 많이 분포하는 특징을 나타내었다.

• 해양환경안전학회지
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• 제22권5호
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• pp.547-553
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• 2016

선박용 디젤엔진 배기가스에 포함된 입자상물질(PM) 가운데서 블랙카본(BC)은 극지방의 해빙을 촉진시키고 온난화를 유발하는 원인물질로서 큰 주목을 받고 있다. 본 연구에서는 향후 예상되는 PM/BC 배출 규제에 선제적으로 대응하고, 저감기술 개발 및 실증을 위한 기초연구의 일환으로 한국해양대학교 실습선 한바다호를 이용하여 실제 운항 중에 주기관의 배기관 수 포인트에서 PM을 샘플링하여 HR-TEM을 통해 그 구조와 특성을 분석하였다. 또한 배기가스 분석기를 이용하여 운전조건별 배기가스 내 유해물질의 배출 경향을 확인하였다. 분석 결과 엔진에서 배출된 PM의 구조는 구형 입자들의 촘촘하지 않은 체인형 결합으로 이루어져 있으며, 과급기로부터 멀어질수록 온도 저하에 의한 응집이 더 많이 관찰되었고 BC 특유의 graphitic 구조를 잃어가면서 점점 amorphous 구조를 띠는 경향이 나타났다. 또한 배기가스 분석을 통해 엔진 회전수가 증가할수록 배기 내 PM의 농도는 감소할 것으로 예측되었다.