• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.129-175
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• 2018

This paper examines asbestos activism in South Korea by focusing on the politics of knowledge between the asbestos activist group and regulatory agency on the risk of asbestos exposure. Asbestos activism has contributed to establishing asbestos pollution an important safety and public health agenda in South Korea. Asbestos pollution investigation is key to core argument of the activism that asbestos pollution is pervasive especially in urban environment and a serious environmental health problem with its worst consequences has not yet seen. A distinctive characteristic of such asbestos investigation is the use of "settled dust analysis," non-standard, non-legislated analysis method. In this paper, literary technologies used in asbestos investigation report written by activists and controversies over asbestos pollution measurement in Samsung's head office building. Asbestos activists successfully concentrated media's attention on their argument and mobilize resources needed to make policy decisions, by using settled dust analysis data. Regulatory agency and expert group, however, neither saw settled dust analysis nor activists argument persuasive enough to make policy changes, base on their evaluation on the use of standards and evidentiary context for analyzing measured data. While its explanatory power is partially acquired, through the dispute between asbestos activists and regulatory agencies unspoken assumptions of regulatory science was revealed and became the matter of social debate. Settled dust analysis captures the characteristic of asbestos analysis which combined social movement and science to challenge the regulatory agency and expert group.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.100-100
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• 2019

최근 대기 중 미세먼지의 농도가 높은 일수가 급증하면서, 미세먼지를 저감하고자 하는 연구가 활발히 이루어지고 있다. 미세먼지는 주로 자동차 혹은 공장 등 인간 활동에 의한 오염물질 배출에 의해 발생하는 것으로 알려져 있으며, 태양복사에너지, 토양수분, 강우, 풍속 등의 수문기상학적 인자에 의해 발생, 이동, 소멸의 과정을 거친다. 현재 우리나라에서는 미세먼지 농도를 관측하기 위해 지점 기반의 관측소를 운영하고 있으며, 관측소가 위치하지 않은 지역의 미세먼지 농도는 선형 보간법 등을 활용한 내삽 기법을 통해 제공하고 있다. 그러나 미세먼지 농도는 다양한 수문기상인자들의 영향에 의한 차이가 크게 나타나기 때문에 지점 기반의 자료로는 해당 지역의 미세먼지 농도를 추정하는 데 어려움이 많다. 본 연구에서는 미세먼지의 공간적인 분포를 추정하고자 MODerate resolution Imaging Spectroradiometer (MODIS) 에어로졸 자료와 Global Land Data Assimilation System (GLDAS) 수문기상인자를 활용하여 미세먼지 농도에 영향을 주는 것으로 판단되는 다양한 수문기상인자들과의 상관성을 분석하였다. 미세먼지와 각 인자간의 상관성을 분석하여 높은 상관성을 갖는 수문기상인자들을 도출하고 최적의 선형회귀분석 모델을 구축하기 위해 베이지안 모델 평균(Bayesian Model Averaging, BMA)을 사용하였으며, 지점 데이터와의 비교를 통해 활용성을 검증하였다. 전체적으로 수문기상인자를 사용한 선형회귀분석 결과에서는 미세먼지농도 변화의 경향을 반영하고 있는 것을 확인할 수 있었으나, 계절별, 지역별 등 대기 특성을 고려하지 않아 각 기간의 급격한 농도 변화를 감지하기에 어려움이 있었다. 이러한 연구를 바탕으로 수문기상인자와 미세먼지 농도의 패턴이 더욱 정확히 분석된다면, 미세먼지 농도 모니터링과 정확한 예보 시스템의 구축에 효과적으로 활용 될 것으로 기대된다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.129-133
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• 2000

환경대기중 입자상물질의 검사방법은 환경부고시 97-98호(97. 11. 5)에 의거 고용량공기포집법(high volume air sampler), 저용량공기포집법(low volume ai sampler), 광산란법 및 광투과법 그리고 $\beta$흡수법 등으로 되어 있다. 이중 고용량공기포집법, 저용량공기포집법, $\beta$흡수법등은 중량법의 범주에 드는 측정법으로 되어 있다. 이들 방법 중 먼지채취전후의 무게를 직접 칭량하여 분석하는 고용량공기포집법은 총부유먼지의 측정법으로, 저용량공기포집법은 $PM_{10}$의 분석에 이용되는 것이며 $PM_{10}$ 고용량공기포집기($PM_{10}$ high volume air sampler) 또는 $PM_{10}$ 분석에 이용될 수 있다. (중략)

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.5
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• pp.86-93
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• 2021

In order to remove particulate matter, functional construction materials are developed. However, there is no evaluation method and infrastructure for particulate matter removal rate. Therefore, the purpose of this study was to build a particulate matter removal rate test chamber and to present a method for particulate matter removal rate. As a result, since construction materials have effectiveness in an environment where particulate matter is generated, the particulate matter injection step was proposed as a comparison target. The evaluation of the particulate removal rate was proposed by relative comparison of the slope values obtained by linear regression analysis for all concentration values measured in the particulate matter injection step. In linear regression method, all measured values can be evaluated, and the variability can be evaluated with the coefficient of determination (R-square), so that the reliability of the particulate matter removal rate can be secured.

• Journal of Service Research and Studies
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• v.10 no.1
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• pp.55-67
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• 2020

Fine dust has recently become one of the greatest concerns of Korean people and has been a target of considerable efforts by governments and local governments. In the academic world, many researches have been carried out in relation to fine dust, but the research on the economic field has been relatively few. So we wanted to know how fine dust affects the economy. Big data of PM10 concentration for fine dust and fine dust theme stock price were collected for five years from 2013 to 2017. Regression analysis was performed using the linear regression model, the generalized least squares method. As a result, the change in the fine dust concentration was found to have a effect on the related theme stocks' price. When the fine dust concentration increased compared to the previous day, the fine dust theme stocks' price also showed a tendency to increase. Also, according to the analysis of stock price change from 2013 to 2017 based on fine dust theme stocks, companies with large regression coefficients were changed every year. Among them, the regression coefficients of Monalisa were repeatedly high in 2014, 2015, 2017, Samil Pharmaceutical in 2015, 2016 and 2017, and Welcron in 2016 and 2017, and the companies were judged to be sensitive to the concentration of fine dust. The companies that responded the most in the past 5 years were Wokong, Welcron, Dongsung Pharmaceutical, Samil Pharmaceutical, and Monalisa. If PM2.5 measurement data are accumulated enough, it would be meaningful to compare and analyze PM2.5 concentration with independent variables. In this study, only the fine dust concentration is used as an independent variable. However, it is expected that a more clear and well-explained result can be found by adding appropriate additional variables to increase the explanatory power.

• Journal of Conservation Science
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• v.33 no.4
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• pp.283-295
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• 2017

It is crucial to measure meteorological elements in relation to the biodeterioration of building cultural heritages. The Beopjusa and Seonamsa temples located respectively in Chungbuk and Jeonnam provinces, Korea, exhibit biological damage to the building cultural heritages and cause noticeable climatic differences. To compare biodeterioration environments of the abovementioned temples, 10 meteorological elements were observed, and particulate matter (TSP) was collected at each location. Furthermore, a correlation analysis was conducted between meteorological elements, and between meteorological elements and TSP. The local meteorology at Beopjusa temple characteristically showcased high total horizontal radiation, UV radiation, evaporation, wind speed, and TSP concentration, whereas, that at Seonamsa temple showcased high temperature, humidity, dew point temperature, air pressure, precipitation and number of days with precipitation. An elemental analysis of TSP revealed the presence of sae-salts at Seonamsa temple, and compared to that of Beopjusa temple, the monthly frequencies of biogenic aerosol and Fe-containing particles were higher. The correlation analysis showed that wind speed and humidity were major meteorological factors at Beopjusa and Seonamsa temples, respectively. Subsequently, the characteristics of the local meteorology at Seonamsa temple are expected to affect the biological damage of the building cultural heritages, which is favorable for the growth of various organisms.

• Journal of Energy Engineering
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• v.29 no.2
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• pp.10-22
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• 2020

As the national demand for solving the fine dust problem has increased, the government has announced intensive measures to deal with fine dust. So recently, selective catalytic reduction(SCR) has attracted attention as a technology for removing nitrogen oxides from precursors of fine dust. In this study, the government's policies related to fine dust and the current status of market and R&D were investigated, and economic analysis by scenarios was conducted by dividing cases where SCR technology was applied to industries. The results of economic analysis for each scenario were calculated using NPV, and companies with no denitrification facilities(Case 1) introduced general SCR technologies(Scenario 1-1) and low-temperature SCR technologies(Scenario 1-2). In addition, companies that have already installed denitrification facilities(Case 2) analyzed the two categories, using the general SCR technology as it is(Scenario 2-1) and replacing it with low-temperature SCR technology(Scenario 2-2). Comparative analysis was performed based on the results of each NPV.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2020.10a
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• pp.77-77
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• 2020

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.69-77
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• 2019

Among the many factors that threaten the improvement of public health and quality of life, the proportion of fine dust is not so small, and the kinds and causes of the dust are also diversified. However, the domestic measuring instrument is in the initial stage and the certification system is insignificant. Recognizing the threat of fine dust for a long time, the United States has established a protocol of measurement standards and measurement methods and applied the developed fine dust measuring device authentication system. Through this system, the United States is leading the world's fine dust industry, technology and market. The EPA, FRM and FEM of the fine dust-related protocol were analyzed to reduce the harmful effects of repeated fine dust every year. In addition, light scattering method and spectroscopy method which can measure in real time by measuring method were examined, and the types and characteristics of fine dust measuring instrument of international certification level were analyzed. Finally, development and service plan of the domestic fine dust measuring instrument are presented.

• Environmental and Resource Economics Review
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• v.31 no.3
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• pp.343-365
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• 2022

This paper tries to identify the effect of reducing PM2.5 concentration of the First Seasonal Management Policy implemented by Korean government by using statistical method. In particular, this paper tests the hypothesis that this policy effect may differ by region (west-coast, south-coast, and east-coast). To this end, this paper analyzed only pure policy effects by removing temporal abnormalities such as COVID-19, warm winter temperature during the policy implementation period (December 2019 to March 2020) by using the difference-in-difference method (DID). As a result of the analysis, this policy had the effect of reducing PM2.5, but the effect is not homogenous by region. In particular, PM2.5 reducing effect is the largest in west-coast region and south-coast region folllows, but its effect is not statistically significant in the east-cost region. In conclusion, this paper drew implications that the current Seasonal mamangement policy which is implemented regardless of the regional difference needs to be changed.