• 한국대기환경학회지
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• 제26권2호
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• pp.190-201
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• 2010

Fine particulate matter < $1.8{\mu}m$ was collected as a slurry using the Semicontinuous Elements in Aerosol Sampler with time resolution of 30-min between May 23 and 27, 2002 at the Sydney Supersite, Florida, USA. Concentrations of 11 elements, i.e., Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Se, and Zn, in the collected slurry samples were determined off-line by simultaneous multi-element graphite furnace atomic absorption spectrometry. Temporal profiles of $SO_2$ and elemental concentrations combined with meteorological parameters such as wind direction and wind speed indicate that some transient events in their concentrations are highly correlated with the periods when the plume from an animal feed supplement processing facility influenced the Sydney sampling site. The peaking concentrations of the elemental species during the transient events varied clearly as the plume intensity varied, but the relative concentrations for As, Cr, Pb, and Zn with respect to Cd showed almost consistent values. During the transient events, metal concentrations increased by factors of >10~100 due to the influence of consistent plumes from an individual stationary source. Also the multi-variate air dispersion receptor model, which was previously developed by Park et al. (2005), was applied to ambient $SO_2$ and 8 elements (Al, As, Cd, Cr, Cu, Fe, Pb, and Zn) measurements between 20:00 May 23 and 09:30 May 24 when winds blew from between 70 and $85^{\circ}$, in which animal feed processing plant is situated, to determine emission and ambient source contributions rates of $SO_2$ and elements from one animal feed processing plant. Agreement between observed and predicted $SO_2$ concentrations was excellent (R of 0.99; and their ratio, $1.09{\pm}0.35$) when one emission source was used in the model. Average ratios of observed and predicted concentrations for As, Cd, Cr, Pb, and Zn varied from $0.83{\pm}0.26$ for Pb to $1.12{\pm}0.53$ for Cd.

• Journal of Preventive Medicine and Public Health
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• 제48권3호
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• pp.151-169
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• 2015

Objectives: The deleterious effects of air pollution on various health outcomes have been demonstrated. However, few studies have examined the effects of air pollution on liver enzyme levels. Methods: Blood samples were drawn up to three times between 2008 and 2010 from 545 elderly individuals who regularly visited a community welfare center in Seoul, Korea. Data regarding ambient air pollutants (particulate matter ${\leq}2.5{\mu}m$ [$PM_{2.5}$], nitrogen dioxide [$NO_2$], ozone [$O_3$], carbon monoxide, and sulfur dioxide) from monitoring stations were used to estimate air pollution exposure. The effects of the air pollutants on the concentrations of three liver enzymes (aspartate aminotransferase [AST], alanine aminotransferase [ALT], and ${\gamma}$-glutamyltranspeptidase [${\gamma}$-GTP)]) were evaluated using generalized additive and linear mixed models. Results: Interquartile range increases in the concentrations of the pollutants showed significant associations of $PM_{2.5}$ with AST (3.0% increase, p=0.0052), ALT (3.2% increase, p=0.0313), and ${\gamma}$-GTP (5.0% increase, p=0.0051) levels; $NO_2$ with AST (3.5% increase, p=0.0060) and ALT (3.8% increase, p=0.0179) levels; and $O_3$ with ${\gamma}$-GTP (5.3% increase, p=0.0324) levels. Significant modification of these effects by exercise and alcohol consumption was found (p for interaction <0.05). The effects of air pollutants were greater in non-exercisers and heavy drinkers. Conclusions: Short-term exposure to air pollutants such as $PM_{2.5}$, $NO_2$, and $O_3$ is associated with increased liver enzyme levels in the elderly. These adverse effects can be reduced by exercising regularly and abstinence from alcohol.

• 대한원격탐사학회지
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• 제37권6_2호
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• pp.1891-1900
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• 2021

직경 2.5 ㎛ 이하인 초미세먼지는 급격한 도시화와 인구 증가로 인해 대도시에서 많이 발생하며, 유아 및 청소년기는 성인에 비해 초미세먼지에 취약하고 만성 질환으로 이어질 가능성이 높다. 특히 대부분의 청소년들은 학교에서 가장 많은 시간을 보내고 있으며, 다양한 이유에 의해 실외에서 발생한 초미세먼지가 실내로 유입된다. 본 연구는 외부 요인에 의해 발생하는 학교 초미세먼지를 예측하고 학교별 초미세먼지 범주화를 수행하였다. 10-fold cross validation과 grid-search method를 적용한 random forest (RF) 모델에 화학과 기상 인자, 위성 기반의 aerosol optical depth (AOD)를 입력 자료로 하여 학교 초미세먼지를 예측하고 정확도 평가를 위해 4가지 통계 지표를 이용하였다. 학교 미세먼지 범주화를 위해 6가지 유형을 가진 느슨한 기준과 엄격한 기준을 정의하였으며, 범주화 결과 느슨한 기준의 경우 유형 2와 3에, 엄격한 기준의 경우 유형 3과 4에 가장 많은 학교가 포함되었다.

• 지적과 국토정보
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• 제48권1호
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• pp.123-138
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• 2018

서울시의 대기오염을 지속적으로 모니터링하기 위해, 그동안 환경부는 운영하고 있는 대기오염 측정망을 지속적으로 발전시켜왔다. 측정되는 대기오염 물질 중 미세먼지는 인체에 상당한 영향을 미치는데, 우리나라의 오염도는 OECD 국가 중에서도 두 번째로 높은 편이다. 따라서 본 연구에서는 측정된 미세먼지 농도 자료를 이용하여 서울시의 미세먼지 분포도를 PM10과 PM2.5에 대해 작성하고, 미세먼지 농도의 분포에 영향을 미칠 것으로 예상되는 공간적인 요인들과의 관계를 조사하였다. 반경 500m의 원을 포함하는 헥사곤을 기준단위로 하여 서울 전역을 구획화하고 보간법 중 거리반비례기법을 이용하여 미세먼지 농도분포도를 작성하였다. 출, 퇴근 시간대의 미세먼지 농도분포를 지역별로 분석하고, 토지이용도 및 교통량과의 관계를 분석하였다. 분석결과, PM10과 PM2.5의 농도분포는 지역별, 시간대별로 각기 다른 패턴을 나타내었고, 토지이용형태 측면에서는 상업지역 및 교통지역의 면적이 미세먼지 농도분포와 높은 관련성을 보였으며, 녹지의 유무도 농도의 분포 변화에 관계가 있는 것으로 판단되었다. 추후 세부적인 토지이용도 및 녹지분포도 등을 통하여 상관관계를 분석하면 미세먼지의 농도에 영향을 미치는 지역 수준에서의 공간요소를 밝히는데 도움이 될 것으로 기대된다.

• 한국환경과학회지
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• 제24권7호
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• pp.875-882
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• 2015

In 2013, International Agency for Research on Cancer (IARC) concluded that outdoor air pollution is carcinogenic to humans, with the particulate matter component of air pollution most closely associated with sufficient evidence of increased cancer incidence by exposure to particulate matter component of air pollution. Motor vehicles are one of a major emission sources of fine particle ($PM_{2.5}$) in urban areas. A large number of epidemiological studies have reported a positive association of morbidity or mortality with distance from the roadside. We conducted this study to assess the association of $PM_{2.5}$ concentrations measured at roadside hotspots with those at adjacent residential sites using real-time $PM_{2.5}$ monitors. We conducted real-time $PM_{2.5}$ measurements for rush hour periods (08:00~10:00 and 18:00~20:00) at 9 roadside air monitoring Hotspot sites in metropolitan Seoul over 3 weeks from October 1 to 21, 2013. Simultaneous measurements were conducted in residential sites within a 100 m radius from each roadside air monitoring site. A SidePak AM510 was used for the real-time $PM_{2.5}$ measurements. Medians of roadside $PM_{2.5}$ concentrations ranged from $9.8{\mu}g/m^3$ to $38.3{\mu}g/m^3$, while corresponding median values at adjacent residential sites ranged from $4.4{\mu}g/m^3$ to $37.3{\mu}g/m^3$. $PM_{2.5}$ concentrations of residential sites were 0.97 times of hotspot roadside sites. Distributions of $PM_{2.5}$ concentrations in roadside and residential areas were also very similar. Real-time $PM_{2.5}$ concentrations at residential sites, (100 m adjacent), showed similar levels to those at roadside sites. Increasing the distance between roadside and residential sites, if needed, should be considered to protect urban resident populations from $PM_{2.5}$ emitted by traffic related sources.

• 한국입자에어로졸학회지
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• 제14권4호
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• pp.97-105
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• 2018

Recently, people's interest in particulate matter (PM) has been increasing, due to its hazardous health effects. The purpose of this study was to investigate the concentrations and as well as the inhaled weight of PM, correlated with person's heart rate in subway, bus, vehicle and bicycle in the major public transportation (Sadang - Jamsil and Nowon - Dongdaemun) in Seoul. The concentration of $PM_{10}$ and $PM_{2.5}$ were measured from each of transportation means and calculated the average concentrations which were 87.2 and $57.8{\mu}g/m^3$ for subway, 62.8 and $42.5{\mu}g/m^3$ for vehicle, 61.5 and $36.8{\mu}g/m^3$ for bus and 53.0 and $29.4{\mu}g/m^3$ for bicycle in $PM_{10}$ and $PM_{2.5}$ respectively. Inhalation dose for $PM_{10}$ and $PM_{2.5}$ were estimated at 248.1 and $139.4{\mu}g$ for bicycle, 56.7 and $39.3{\mu}g$ for vehicle, 49.4 and $29.9{\mu}g$ for bus and 44.3 and $29.1{\mu}g$ for subway, respectively. Even though subway had the highest concentration, the highest inhalation dose was the bicycle. It was due to the long travel time-exposure and breathing rate which leads to maximum of $PM_{10}$ 5.6 and $PM_{2.5}$ with 4.8 times inhalation dose comparing with other modes of transportation. With regards to future studies, the amount of inhalation in each transportation means should be considered in risk assessments of PM.

• 대한원격탐사학회지
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• 제35권6_1호
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• pp.919-932
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• 2019

미세먼지는 인간 활동에 의한 오염물질 배출에 의해 발생하는 것이 일반적이지만, 수문기상 조건에 따라 이동, 심화, 소멸 과정에서 매우 복잡한 메커니즘을 지니고 있으므로 효과적인 미세먼지 대책 마련을 위해서는 수문기상인자와 미세먼지 간의 상관성에 대한 이해가 필수적이다. 현재 우리나라의 미세먼지 농도 관측 및 예보는 지점 측정소에서 농도를 측정하고, 이 자료를 기반으로 측정소가 위치하지 않는 지역의 값을 추정함으로써 이루어지고 있다. 이러한 관측 방식 및 자료는 공간적 대표성을 갖지 못하기 때문에 관측소와의 거리가 먼 지역의 정확한 미세먼지 농도를 파악하는 것이 불가능하며, 미세먼지의 이동, 심화, 소멸 단계를 추적하는데 어려움이 있다. 본 연구에서는 Global Land Data Assimilation System (GLDAS)의 다양한 수문기상인자를 사용하여, 베이지안 모델 평균(Bayesian Model Averaging, BMA)을 통해 초미세먼지(PM2.5)와 유의미한 상관성을 갖는 인자를 선별하였다. 선별된 인자는 MODerate Resolution Imaging Spectroradiometer (MODIS)의 Aerosol Optical Depth (AOD) 자료와 함께 계절별 PM2.5 농도 산출 모델을 구축하는데 활용되었으며, 산출 결과를 매핑하여 PM2.5 농도의 공간 분포를 파악하고자 하였다. 지점 기반 자료와의 비교를 통해 구축된 모델을 검증하였을 때, 측정된 PM2.5 농도와 높은 상관성(R ~0.7; IOA ~0.78; RMSE ~7.66 ㎍/㎥)을 나타냈으며, 지역별로 나누어 비교할 경우 데이터의 분포는 유사하나 상관계수의 차이를 보이는 것을 확인할 수 있었다(R: 0.32-0.82). 모델 산출 자료를 활용하여 PM2.5 농도를 매핑한 결과 기존 내삽 방법에 비해 시공간적 변동성을 더욱 잘 표현하는 것을 확인하였다. 추후 연구 지역을 동아시아 지역으로 확장 시킨다면 국내외 미세먼지 발생원의 파악 및 이동 양상에 대한 분석에 용이할 것으로 기대된다.

• 한국환경보건학회지
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• 제38권1호
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• pp.51-56
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• 2012

Objectives: High concentrations of airborne particulate matters (PM) can affect the health of passengers using public transportation. The objectives of this research were to develop a PM control system for a railway cabin and to evaluate the performance of the device under conditions of an actual journey. Methods: This study measured the concentrations of $PM_{10}$ and $PM_{2.5}$ simultaneously in a reference cabin and a cabin with the PM control device. Results: The average $PM_{10}$ concentration in the reference cabin was 100 ${\mu}g/m^3$, and the $PM_{10}$ concentration in the cabin with the control device was 79 ${\mu}g/m^3$. While the overall control efficiency of the control device was 15.4%, reduction was more effective for peak $PM_{10}$ concentration. However, $PM_{2.5}$ levels did not differ greatly between the reference cabin and the cabin with the control device. The ratio of $PM_{2.5}$ to $PM_{10}$ was 0.37. $PM_{10}$ concentrations in cabins were not associated with ambient concentrations, indicating that the main sources of $PM_{10}$ were present in cabins. Additionally, average $CO_2$ concentration in the cabins was 1,359 ppm, less than the maximum of 2,000 ppm set out by the Korean Ministry of Environment's guideline. The $CO_2$ concentration in cabins was significantly associated with the number of passengers: the in-cabin concentration = $23.4{\times}N+460.2$, where N is the number of passengers. Conclusions: Application of the PM control device can improve $PM_{10}$ concentration, especially at peak levels but not $PM_{2.5}$ concentration.

• 인간식물환경학회지
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• 제24권6호
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• pp.585-593
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• 2021

Background and objective: Illegal open-air incineration, which is criticized as a leading source of air pollutants among agricultural activities, currently requires constant effort and attention. Countries around the world have been undertaking studies on the emission of heavy metal substances in fine dust discharged during the incineration process. A precise analytical method is required to examine the harmful effects of particulate pollutants on the human body. Methods: In order to simulate open-air incineration, the infrastructure needed for incineration tests complying with the United States Environmental Protection Agency (EPA) Method 5G was built, and a large-area analysis was conducted on particulate pollutants through automated scanning electron microscopy (SEM)-energy-dispersive X-ray spectroscopy (EDS). For the test specimen, high-density polyethylene (HDPE) waste collected by the DangJin Office located in Choongcheongnam-do was used. To increase the identifiability of the analyzed particles, the incineration experiment was conducted in an incinerator three times after dividing the film waste into 200 g specimens. Results: Among the metal particulate matters detected in the HDPE waste incineration test, transition metals included C (20.8-37.1 wt%) and O (33.7-37.9 wt%). As for other chemical matters, the analysis showed that metal particulate matters such as metalloids, alkali metals, alkaline earth metals, and transition metals reacted to C and C-O. Si, a representative metalloid, was detected at 14.8-20.8 wt%, showing the highest weight ratio except for C and O. Conclusion: In this study, the detection of metal chemicals in incinerated particulate matters was effectively confirmed through SEM-EDS. The results of this study verified that HDPE waste adsorbs metal chemicals originating from soil due to its own properties and deterioration, and that when incinerated, it emits particulate matters containing transition metals and other metals that contribute to the excessive production and reduction of reactive oxygen species.

• 한국산업보건학회지
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• 제27권1호
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• pp.13-22
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• 2017

Objectives: The objective of this study was to evaluate the exposure levels of door-to-door deliverers to fine particulate matter (PM2.5). Another objective was to confirm the general working patterns of door-to-door deliverers via survey. Methods: In the city of Daegu, ten door-to-door deliverers who wished to join the study were recruited. The general working characteristics of door-to-door deliverers were surveyed using self-reported questionnaires. In the cabin of each car driven by a deliverer, a real-time PM2.5 sampler (Sidepak, Model AM510, TSI Inc., MN, USA) and a GPS device (GPS 741, Ascen, Korea) were installed. Each deliverer was monitored for four days per week so that each day could be monitored at least four times. Results: A total of 40 measurements of PM2.5 concentrations were taken during delivery of parcels. The average exposure levels of door-to-door deliverers to PM2.5 was $44.62{\mu}g/m^3$ ($7-9443{\mu}g/m^3$. Exposure levels to PM2.5 according to the day of the week and coverage areas were not significantly different (p>0.05). Door-to-door deliverers using trucks with older diesel engines manufactured before 2006 had significantly higher exposure levels to PM2.5 than in the case of trucks with diesel engines manufactured after 2006 (p<0.05). Many of the door-to-door deliverers reported the status of having windows open during the delivery task. During delivery services, the working hours spent in residential areas were higher than on roadsides, but exposure levels to PM2.5 in residential areas and on roadsides were $46.17{\mu}g/m^3$ and $49.90{\mu}g/m^3$, respectively. Real-time PM2.5 exposure levels were significantly different between roadways and residential areas (p<0.001). Conclusions: PM2.5 exposure levels of door-to-door deliverers were found to be affected by higher vehicle emissions from the roadsides near their vehicle during deliveries and while driving to other locations compared to by PM2.5 from the diesel engines of their own trucks. Particle concentrations from roadsides and emissions from nearby vehicles through open windows were the main source of PM2.5.