• Journal of Cadastre & Land InformatiX
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• 제47권2호
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• pp.175-184
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• 2017

Recently, PM10 is becoming a main issue in Korea because it causes a variety of diseases, such as respiratory and ophthalmologic diseases. This research studied to spatial information application cases for evaluating the feasibility of the location for PM10 observation stations utilizing Geogrphic Information System(GIS) spatial analysis. The spatial Information application cases for optimal location assessment were investigated to properly manage PM10 observation stations which are closely related with public spatial data and health care. There are 31 PM10 observation stations in Seoul city and the observed PM10 data at these stations were utilized to understand the overall assessment of PM10 stations to properly manage using interpolation methods. The estimated PM10 using Inverse Distance Weighted(IDW) and Kriging techniques and the map of PM10 concentrations of monitoring stations in Seoul city were compared with public spatial data such as precipitation, floating population, elementary school location. On the basis of yearly, seasonal and daily PM10 concentrations were used to evaluate the feasibility analysis and the location of current PM10 monitoring stations. The estimated PM10 concentrations were compared with floating population and calculated 2015 PM10 distribution data using zonal statistical methods. The national spatial data could be used to analyze the PM10 pollution distribution and additional determination of PM10 monitoring sites. It is further suggested that the spatial evaluation of national spatial data can be used to determine new location of PM10 monitoring stations.

• Journal of Life Science
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• 제29권6호
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• pp.724-734
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• 2019

The present study investigated the cytotoxicity of particulate matter (PM) derived from car air filter (outdoor PM) and home cleaner filter (indoor PM) in the various human cell lines. Each outdoor and indoor PM were harvested by ethanol extraction method, subsequently sieved with 10 um filter paper, sterilized with autoclave and added to culture media. The half maximal inhibitory concentration ($IC_{50}$) values was significantly (p<0.05) lower in the outdoor PM, compared with indoor PM, and the significantly (p<0.05) higher $IC_{50}$ values were observed in the cancer cell lines (A-549 lung adenocarcinoma and AGS stomach adenocarcinoma), than those of normal MRC-5 fibroblasts and dental papilla tissue derived-mesenchymal stem cells (DSC). After being exposed to $100{\mu}g/ml$ outdoor PM for 7 days, the population doubling time (PDT) was significantly (p<0.05) increased in especially MRC-5 and DSC cell lines, compared with untreated cell lines. Further, the expression of senescence-associated ${\beta}$-galactosidase activity was up-regulated in all the cells exposed to outdoor PM than those of untreated control. Besides, the expression level of inflammation-associated genes, such as cyclooxygenase-2 (COX-2) and interleukin-6 (IL-6) was found to be significantly (p<0.05) increased in the outdoor PM-treated cell lines than those of untreated cell lines. Our results showed that PM induces the cytotoxicity via arrest of cell growth, cell damage and inflammation response.

• Journal of the Korea Convergence Society
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• 제8권11호
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• pp.413-421
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• 2017

This study explored relationships between health perception and behavior of Korean relevant to particulate matter(PM) as PM in the atmosphere getting worse. To investigate the relationship in the personal hygiene dimension, we analysed the structural relationships among multi-dimensional health locus of control, perceived susceptibility and severity, and health behavior intention. Except internal among three tendencies of multi-dimensional health locus of control, chance and powerful other had an effect on perceived susceptibility and severity, respectively. Perceived susceptibility and severity also had a positive effect on the intention. Thus, to facilitate PM-related disease prevention, timely and reliable information should be supplied with the solution for lessening damage from PM, and then training for internalizing locus of control should be encouraged through eliminating fear and uncertainty. Finally, we discussed suggestions for future study.

• Analytical Science and Technology
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• 제24권4호
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• pp.310-318
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• 2011

The collection of atmospheric $PM_{10}$ and $PM_{2.5}$ particle samples was made at Gosan site of Jeju Island, which is one of the most representative background sites in Korea. Their chemical compositions have been analyzed to explore the pollution characteristics and emission sources. The mass concentrations of $PM_{10}$ and $PM_{2.5}$ particles were $37.6{\pm}20.1$ and $22.9{\pm}14.3{\mu}g/m^3$, respectively, with the content of $PM_{2.5}$ to $PM_{10}$ as 61%. The $PM_{2.5}/PM_{10}$ ratios of nss-$SO_4^{2-}$, $NO_3^-$, and $NH_4^+$ were 0.94, 0.56, 1.02, respectively, indicating that these components were distributed mostly in the fine fractions. Based on the factor analysis, it was found that the compositions of fine particles were mainly influenced by anthropogenic sources, followed by soil or marine sources. The results of the backward trajectory analysis indicate that the concentrations of nss-$SO_4^{2-}$, $NO_3^-$, $NH_4^+$, nss-$Ca^{2+}$, and Pb were high when the air parcels moved from the China continent, while relatively low with the air parcels coming from North Pacific Ocean and/or East Sea.

• Journal of the Korea Convergence Society
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• 제11권12호
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• pp.49-56
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• 2020

This study was conducted to identify the level of knowledge, perception, attitude, and preventive behavior toward particulate matter (PM) among university students, as well as to determine factors influencing their PM preventive behaviors. Questionnaires were distributed from December 9 to December 20, 2019, and the data from 180 valid responses were analyzed using SPSS Window 18.0. The scores for knowledge, perception, attitude, and preventive behavior against PM were 62.00 points, 72.33 points, 77.30 points, and 69.02 points, respectively, when converted to a 100-point scale. Regarding the factors influencing preventive behavior, only perception was significant among the assessed factors (p<.001). Therefore, it is suggested that efforts be made to promote preventive behavior related to PM. Furthermore, when developing a program to promote preventive behavior related to particulate matter exposure, it is necessary to consider strategies to improve perception of PM preventive behavior.

• Journal of Convergence for Information Technology
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• 제9권6호
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• pp.194-201
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• 2019

This cohort study aimed to identify the effects of daily PM10 exposure on the hospital admission of patients with respiratory diseases, during the nine-year period (2002-2010), in Seoul, Korea. The research subjects were 13,974 patients who had been hospitalized with respiratory diseases, including chronic obstructive pulmonary disease (COPD), asthma, and pneumonia. During the follow-up period, an increase of 10 ug/m3 in PM10 under the threshold of 50 ug/m3 of PM10 led to hospital admission in 1.38% of the age group younger than 15 years, 1.62% in those 65 years or older, 2.87% in patients 75 years or older and in 1.50% of pneumonia patients, 1.51% of COPD patients, and 1.55% of pneumonia and asthma patients. Under the threshold of 80 ug/m3 of PM10, there was a 3.71% increase in new patients admitted in the age group 65 years or older and 4.25% in those at least 75 years old. Our study found that high PM10 was associated with increased risk of admission of respiratory patients, especially in the elderly. People who already have a respiratory disease should refrain from exposure to particulate matter when there is a high concentration of PM10, especially older patients.

• Proceedings of the Korea Multimedia Society Conference
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• 한국멀티미디어학회 2003년도 춘계학술발표대회논문집
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• pp.592-595
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• 2003

미세 먼지(PM-10)는 인체에 깊은 영향을 미치는 대기 오염원 중의 하나로써, 발생 원인에 대한 규명이 어렵고 기초 자료의 부족으로 통계적 분석 역시 어려워 예보가 지난한 실정이다. 본 연구에서는 기상 및 환경 인자들과 PM-10과의 상관 관계를 분석하고, 다층 인식자 신경망 모델을 이용하여 미세 먼지 예경보 시스템을 구축하였다. 실험 결과 RMSE가 0.04～0.09로 매우 정확한 성능을 보였다.

• Environmental and Resource Economics Review
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• 제28권3호
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• pp.355-383
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• 2019

This study is to investigate whether averting costs for wearing $anti-PM_{10}$ masks and using air purifiers at home to reduce exposure from $PM_{10}$ are influenced by subjective risk perceptions and/or objective $PM_{10}$ concentration levels, whose estimates will be used to measure the willingness to pay for $PM_{10}$ risk reduction. An empirical analysis was conducted on a sample of 1,224 respondents who participated in the web-based survey in the late October of 2017. As we reflect the potential endogeniety bias in the estimation of averting cost functions of using air purifiers, the coefficients of risk perception were differed by 6~7 times. Respondents. subjective risk perceptions were influenced by individuals' knowledge, attitudes and demographic variables, as well as the levels of $PM_{10}$ concentrations in their residential region. The marginal willingness to pay for risk reductions at the mean levels of their risk perceptions were measured at 1,000 won per month from wearing $anti-PM_{10}$ masks and 6,000 won for using air purifiers respectively.

• Journal of Environmental Impact Assessment
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• 제32권5호
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• pp.338-352
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• 2023

As of 2019, Korea's fine dust is the most severe among 38 OECD countries, and in the same year, 「the Framework on Disaster and Safety Management」 was revised to define fine dust as a social disaster. Currently, the government is working to achieve its emission reduction goals by preparing a comprehensive fine dust management plan (2022-2023) consisting of a total of five areas, 42 tasks, and 177 detailed tasks. However, it is necessary to come up with measures in consideration of the various spatial characteristics of the city, not just as a source of emission. Therefore, in this study, the shape of the city was classified using the LCZ (Local Climate Zone) classification system into 17 types by building type and land cover type in Busan, and the average annual PM10 and PM2.5 concentration were mapped using the IDW technique. In addition, Fragstats and Moving Window were used to quantify the LCZ classification system. Finally, correlation analysis and regression analysis were conducted to analyze the relationship between the LCZ classification system and PM10 and PM2.5. As a result, it was confirmed that the type of low height of the building and the type of green space with trees had a positive effect on the concentration of PM10 and PM2.5. Therefore, this study is expected to be used as basic data to establish fine dust reduction policies based on efficient spatial planning.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제22권4호
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• pp.595-601
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• 2018

Recently, as the fine dust level has risen rapidly, there is a great interest. Exposure to fine dust is associated with the development of respiratory and cardiovascular diseases and has been reported to increase death rate. In addition, there exist damage to fine dusts continues at industrial sites. However, exposure to fine dust is inevitable in modern life. Therefore, predicting and minimizing exposure to fine dust is the most efficient way to reduce health and industrial damages. Existing fine dust prediction model is estimated as good, normal, poor, and very bad, depending on the concentration range of the fine dust rather than the concentration value. In this paper, we study and implement to predict the PM10 level by applying the Artificial neural network algorithm and the K-Nearest Neighbor algorithm, which are machine learning algorithms, using the actual weather and air quality data.