• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.873-885
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• 2022

The particulate matter (PM) has emerged as a hot topic around the world as it has been reported that PM is related to an increase in mortality and prevalence rates. In South Korea, the importance of PM has been recognized since the late 1990s, and various studies on PM have been conducted. This study investigated the PM research topics and trends for papers (D=2,764) published in Research Information Sharing Service (RISS) using topic modeling based on Latent Dirichlet Allocation (LDA). As a result, a total of 10 topics were identified in the whole papers, and the PM research topics were classified as 'PM reduction (Topic 1)', 'Government policy and management (Topic 2)', 'Characteristics of PM (Topic 3)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', 'Bio (Topic 6)', 'Traffic (Topic 7)', 'Asian dust (Topic 8)', 'Indoor PM (Topic 9)', 'Human risk (Topic 10)'. In particular, the proportion of papers on topics 'Government policy and management (Topic 2)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', and 'Bio (Topic 6)' to the toal number of papers increased over time (linear slope > 0). The results of this study provide the new literature review methodology related to particulate matter and the history and insight.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.300-300
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• 2023

기후변화의 영향 중 하나인 무강우일수의 증가는 우리의 삶에 다양한 피해를 야기하고 있다. 영산강·섬진강권역은 2001년 이후 가장 심한 가뭄을 겪고 있으며, 이로 인해 하천의 건천화, 수질악화, 농업피해 등이 발생하고 있다. 무강우일수의 증가로 인한 피해는 농업지역에만 국한되지 않는다. 도시지역에 무강우가 지속될 경우 공기 중의 미세먼지가 효과적으로 제거되지 못하는 문제가 발생한다. 미세먼지로 인한 환경문제는 특정 배출지역에 국한되지 않고 기상조건에 따라 오염물질이 이동할 수 있으므로 타지역 및 타국가와의 갈등을 유발할 수 있다. 따라서, 정확한 분석을통해 원인을 규명하고 해결방안을 강구하는 것은 중요한 일이다. 이를 위해 본 연구에서는 먼저 한국환경공단에서 운영 중인 523개의 도시대기 측정소에서 관측된 PM₁₀ 시단위 자료를 이용하여 미세먼지의 추세를 분석하였다. 다음으로 미세먼지의 이동과 소멸과 연관성이 있을 것으로 판단되는 강우량, 습도, 풍속 등의 기상요소 및 무강우일수와 미세먼지 농도의 관련성을 분석하였다. 무강우일수는 전국에 분포된 103개 지상관측소의 시단위 강우자료를 통해 계산하였으며, 무강우일수와 미세먼지 농도의 관계는 각각의 무강우일수에 대응되는 미세먼지의 농도분포를 통해 년단위 및 월단위로 지역별로 분석하였다.

• Journal of Environmental Impact Assessment
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• v.32 no.6
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• pp.437-449
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• 2023

This study measured PM₁₀ concentrations and wind speeds in buffer green spaces and neighborhood parks located along the road, and compared them with roadside measurementresults to understand the effect of mitigating PM₁₀ concentrations by type of green space and the influence of wind speeds on it. As a result of the analysis, the effect of mitigating PM₁₀ concentration was different depending on the type of roadside green space, and an increase in wind speed had a significant effect on reducing PM₁₀ concentration. In buffer green areas with high planting density, wind speed was low and PM₁₀ stagnated inside, resulting in the highest concentration. On the other hand, green areas in neighborhood parks with relatively low planting density had high wind speeds and the lowest PM₁₀ concentration. The non-green area within the neighborhood park recorded the highest wind speed, which was advantageous for the spread of PM₁₀, but the concentration was higherthan that of the green area. Therefore, in orderto reduce PM₁₀ concentration in roadside green space, it is necessary to create green space with good ventilation, and the combined effect of green space and wind speed seems to be more advantageous in reducing PM₁₀ concentration. Green spaces capture and remove PM inside, contributing to reducing the concentration of PM outside. In order to manage PM in the entire city and on roads, it is necessary to increase planting density and leaf area in roadside green spaces, such as buffer green spaces, so that PM can be removed within the green spaces. However, in green spaces such as neighborhood parks that are actively used by city residents, in orderto minimize damage to users due to PM, it is desirable to create green spaces with a structure that allows PM to spread to the outside rather than stagnate inside.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.508-511
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• 2020

미세먼지(PM10, PM2.5)는 배출가스 증가와 함께 빠르게 악화되어 왔으며, 다양한 화학성분 뿐만 아니라 금속 성분이 포함되어 있어 인체에 큰 유해성을 발생한다. 이에 정부는 미세먼지 저감 정책 및 법률을 통해 개선하고자 했지만, 2013년부터 그 효력을 잃기 시작하였다. 이에 본 연구에서는 미세먼지 저감 정책 및 법률을 수립하는데 있어 가장 중요한 요소인 미세먼지 농도를 예측하는 연구를 진행한다. 이전 연구들에서 미세먼지 영향 요소들이 시계열 기반의 데이터(기상인자와 대기오염 인자)인 것을 확인하였기에, 시계열 데이터에 좋은 성능을 보이는 LSTM 알고리즘을 사용하여 학습 후, 서울시 '구별' '시간단위' 미세먼지 농도 예측에 대한 예측 오차(RMSE, MAE) 성능을 비교하였다. 실험 결과 PM10의 경우 (7.2, 4.78), PM2.5의 경우 (4.7, 3.2)의 예측 오차를 보였으며, 금천구의 경우 PM10이 (5.3, 3.71), PM2.5에서 (3.5, 2.5)로 가장 좋은 성능을 보였다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.445-446
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• 2003

대기오염물질은 배출되면 인위적으로 제거하는 과정이 용이하지 않을 뿐만 아니라 인체, 자연생태계 및 재산상에 다방면으로 피해를 주는 특성을 가지고 있다. 그중에서도 호흡성 먼지 또는 미세먼지라고 부르고 있는 PM-10은 대기 중 체류시간이 길며 인체에 대한 위해도를 갖고 있으나 최선의 대처 방법은 외출을 삼가하는 등의 미세먼지에 대한 노출을 사전에 방지 하는 방법밖에 없는 것으로 알려져 있다. 따라서 미세먼지에 대한 노출을 사전에 막고 이에 대한 대처를 위하여 미세먼지농도의 예보 및 경보 시스템 체제를 가동해야 할 필요성이 대두되고 있다. (중략)

• Journal of the Korean Regional Science Association
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• v.37 no.1
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• pp.29-44
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• 2021

Particulate matter(PM) is one of the leading causes of lung cancer. Recognizing its considerable risk to human health, people change their behaviors when a concentration level of PM is high. The impact of particulate matter on urban activities may vary depending on the lasting days of PM and PM matter alerts. In addition, the level of averting behavior may vary depending on the types and physical characteristics of urban activities and the degree of vulnerability to PM among people. Although the way people respond to PM may vary depending on these various factors, previous research evidence on this is very insufficient. Therefore, this study multilaterally analyzed the impact of PM on the urban activities in Jongno-gu, one of the CBD areas of Seoul. For this, we linked SKT's mobile phone signal data to land use data to extract the daily number of active people by urban activity types and ages. According to multiple regression analysis, the averting behavior varies depending on the type of urban activity, the physical characteristics of the place of activity(inside and outdoor), the lasting days of PM, PM alerts and the age of people. The results of this study can be used as basic data to policy makers who establish policies for adapting to air pollution policies by providing various effects of PM on the urban activities.

• Environmental and Resource Economics Review
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• v.12 no.3
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• pp.469-485
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• 2003

This paper reports on the results of epidemiological investigation of daily health effects in the elderly associated with daily exposure to particulate matters in Korea. Our main focus is on the potential difference in health effects between PM10 and PM2.5. While the Korean environmental authority has set an ambient standard for PM10, the government currently does not monitor PM2.5, which has no national standard. A daily data on respiratory symptoms as well as PM concentrations are collected for a total of 120 days. Using a probit model, we find statistically significant negative health effects of PM2.5 on respiratory symptoms among the nonsmoking elderly, while PM10 does not show such effects from the estimation. This result suggests that, for air quality regulatory purposes, PM2.5 can be a more appropriate air pollutant than PM10.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1117-1124
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• 2010

The PM10 (Promethium 10) data is one of the important environmental data for measurement of the atmospheric condition of the country. In this article, the Autoregressive Error (ARE) model has been considered for analyzing the monthly PM10 data at the southern part of the Gyeonggi-Do, Suwon monitoring site in Korea. In the ARE model, six meteorological variables and four pollution variables are used as the explanatory variables for the PM10 data set. The six meteorological variables are daily maximum temperature, wind speed, relative humidity, rainfall, radiation, and amount of cloud. The four air pollution explanatory variables are sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), carbon monoxide (CO), and ozone ($O_3$). The result showed that the monthly ARE models explained about 13-49% for describing the PM10 concentration.

• Resources Recycling
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• v.29 no.1
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• pp.62-69
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• 2020

Manufacturing processes in industrial complexes produce NOx, SOx, VOCs, which cause particulate matter (PM). Therefore, this study analyzed the characteristics of each industrial complex by using scattered public data, matched the existing particulate matter(PM) reduction technology, and proposed an optimized reduction plan. The application of matching technologies and facilities by industrial complexes based on data is able to mitigate NOx, SOx, and VOCs which cause particulate matter in the process in advance. This way can be an effective alternative in order to reduce PM in the manufacturing processes as well as industrial complexes.

• Journal of Environmental Impact Assessment
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• v.32 no.5
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• pp.318-337
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• 2023

This study utilizes system dynamics to examine the effects of fine dust reduction policies on PM10 concentration and health. System dynamics has the advantage of modeling the dynamic and circular relationship between PM₁₀ emission sources, reduction policies, PM₁₀ concentration, and health effect. The study created policy scenarios for Korea's representative fine dust reduction policies - industrial PM₁₀ emission control, diesel vehicle regulation, expansion of electric vehicles, and expansion of parks and green areas - and compared the results with the 2030 baseline if the current trend is maintained. The analysis showed that the policy of supporting electric vehicles reduced PM₁₀ concentration by 0.21 ㎍/m³ and reduced the number of people with circulatory diseases by 494, and the effect was evenly distributed across the country. The industrial emissions regulation scenario resulted in the highest PM₁₀ concentration reduction of 0.22 ㎍/m³, but had a lower reduction in the number of people affected (358) than the EV support strategy, which could be attributed to the fact that this policy had a particularly high PM₁₀ reduction effect in industrial areas such as Danyang-gun, Chungcheongbuk-do, and Sahagu, Busan. As a policy implication, this study suggests that it is necessary to apply fine dust policies tailored to the characteristics of local emission sources.