• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2022.11a
• /
• pp.53-54
• /
• 2022

There is an increasing demand for prediction of asbestos concentration which has an fatal effect on human body. While demolishing asbestos, the dust scatters and makes workers be exposed to danger. Up to this date, however, factors that particularly influences have not considered in predicting asbestos concentration. Most of the studies could not quantify the distribution of asbestos. Also, they did not use nominal data on buildings as important factors. Therefore, this study aims to build an asbestos concentration prediction model by quantifying distribution of asbestos and using nominal data of buildings based on Artificial Neural Network (ANN). This model can give significant contribution of improving the safety of workers and be useful for finding effective ways to demolish asbestos in planning.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.11a
• /
• pp.6-7
• /
• 2019

Asbestos has been widely used for construction materials due to its sound absorption and insulation properties. Despite the announcement that asbestos may cause cancer, asbestos demolition work has become more active. Asbestos was scattered by demolition work and the government started to regulate it. This study was started to predict the scattering asbestos concentration according to the research that it can cause cancer even if the concentration of asbestos meets legal standards. Therefore, in this paper, a regression analysis was conducted to derive a predictive equation after collecting and arranging the variables affecting scattering asbestos. As well as, artificial neural network analysis was used to make a more suitable prediction model.

• 월간 기계설비
• /
• s.226
• /
• pp.53-57
• /
• 2009

그동안 많은 논란이 있었던 석면문제가 또다시 도마 위에 올랐다. 최근 아기에게 바르는 파우더를 비롯하여 화장품 등에까지 석면공포가 확산됨에 따라 환경부는 석면이 주로 건축자재(80% 이상)에 사용된 만큼 국민건강 보호를 위해 건축물에 사용된 석면의 안전한 관리가 무엇보다 중요하다고 판단, 가이드라인을 제정, 시행에 들어갔다. 가이드라인의 주요 내용은 $\Delta$건축물에 사용된 석면함유 설비 또는 자재를 조사하여 석면지도 작성 및 6개월마다 훼손 여부 평가 관리 $\Delta$석면 해체 제거작업 과정에서 석면이 비산되지 않도록 주변 대기 중 석면농도 0.01개/cc(실내공기질 권고기준) 기준 설정 $\Delta$석면 해체 제거 작업 및 폐석면 처리 시 안전한 석면관리를 위한 준수사항 등이다. 이번 가이드라인은 건축물 사용단계부터 철거 폐기까지 전 생에에 걸친 석면 관리 방법 및 기준 등을 포함하고 있어 건축물 이용자, 철거지역 인근 주민의 석면 노출 차단에 기여할 것으로 기대된다. 환경부는 가이드라인을 자치단체, 다중이용시설 관리자, 건축물 철거업체 등을 통해 널리 알리는 한편, 노동부 등 관계부처와 함께 관련제도 보완 등 건축물 석면관리 개선방안을 오는 6월까지 마련할 계획이다.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.27 no.3
• /
• pp.245-256
• /
• 2017

Objectives: The present study is aimed at performing real-time measurement of fibrous materials using an F-1 fiber monitor, investigating the correlations between the measurements and environmental conditions, and assessing the feasibility of the use of the monitor in actual exposure assessments based on the accuracy and reliability of the device. Methods: Asbestos specimens with a fixed asbestos content were dispersed in a chamber and collected with a particle measuring test device. Measurements obtained by the existing PCM method, and with the F-1 fiber monitor were compared. In addition, concentrations of asbestos fibers obtained by the PCM method, the TEM method, and the F-1 fiber monitor were compared with that of specific ABS scenarios in NOA regions. Correlations of asbestos contents in soil and weather conditions with each method of measurement were analyzed. Results: Laboratory results showed that levels of asbestos fibers measured with each method increased as fiber contents in soil increased. In the accuracy and reproducibility assessment, no significant differences were found between the different methods of measurement. On-site assessment results showed positive correlations among the methods, and these correlations were less significant compared with what was shown by the laboratory results. Levels of asbestos fibers increased as asbestos contents in soil increased, and as temperature increased. Levels of asbestos fibers decreased as humidity increased, and wind speed did not significantly affect the extent to which asbestos fibers were scattered. Conclusions: While it would be premature to replace existing methods with the use of F-1 fiber monitors in real sites based on the results of this study, the monitor may be useful in the screening of the sites, which assesses hazard levels in different regions. Replacement of existing methods with the use of F-1 fiber monitors may be possible after the limitations identified in this study are overcome, and additional assessment data are obtained and reviewed under different conditions to confirm the reliability of the monitor in future research. Obtained assessment results may be used as basic data for the assessment of asbestos hazard in NOA regions.