• Journal of the Korean GEO-environmental Society
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• v.13 no.12
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• pp.75-79
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• 2012

In the recycling of industrial waste unlike household waste, the legislation and the governmental systematic support, etc. were not also established due to an anxiety of hazard or harmfulness, etc. and a preconception. So the legislation and the system should be urgently established for the recycling of industrial waste. In this study, the environmental analyzing method of industrial waste-mixed coal ash in ash pond to recycle as a construction material is suggested by considering and analyzing test process and results about environmental impact factors of mixed coal ash. It is certified that there are not environmental problems in the recycling of mixed coal ash in ash pond as a construction material, according as its classification is general waste and each corresponding item of the leaching test result are satisfied with the 'environmental safety criteria' suggested in this study. And to build database, it is necessary to survey the environmental impact on surrounding areas with time after its recycling as a construction material.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.2 s.17
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• pp.9-16
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• 2005

This paper presents the use of an Artificial Neural Network (ANN) as a viable means of forecasting Inundation Damage Area (IDA) in many watersheds. In order to develop the forecasting model with various environmental factors, we selected 108 watershed areas in South Korea and collected 49 damage data sets from 1990 to 2000, of which each set is composed of 27 parameters including the IDA, rainfall amount, and land use. After successful training processes of the ANN, a good agreement (R=0.92) is obtained (under present conditions) between the measured values of the IDA and those predicted by the developed ANN using the remaining 26 data sets as input parameters. The results indicate that the inundation damage is affected by not only meteorological information such as the rainfall amount, but also various environmental characteristics of the watersheds. So, the ANN proves its present ability to predict the IDA caused by an event of complex factors in a specific watershed area using accumulated temporal-spatial information, and it also shows a potential capability to handle complex non-linear dynamic phenomena of environmental changes. In this light, the ANN can be further harnessed to estimate the importance of certain input parameters to an output (e.g., the IDA in this study), quantify the significance of parameters involved in pre-existing models, and contribute to the presumption, selection, and calibration of input parameters of conventional models.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.3
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• pp.292-298
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• 2020

Objectives: The aim of this research is to establish Similar Exposure Groups (SEGs) for chemical and biological risk factors that occur in farm work involving 24 tasks among 15 crops. Methods: To categorize SEGs, work type, work environment, and similar tasks for each crop were considered. After confirming the chemical risk factors (pesticides, inorganic dust-total dust and PM₁₀, ammonia, and hydrogen sulfide) and biological factors (organic dust-total dust and PM₁₀, and endotoxins) that occur in the crops and tasks, similar crops and tasks were selected as SEGs. Results: Among chemical risk factors, pesticides was selected for the SEGs, which was categorized by open field, greenhouse, fruit, and specialty crops. For inorganic dust, open field (plowing harrowing, seedling, planting, harvest, and sorting and packing) and specialty crops (plowing harrowing, seedling, planting, and harvest) were selected as SEGs. For ammonia and hydrogen sulfide, livestock (preparation of farm, management of nursery bed, feeding, shipment and manure treatment) were selected as SEGs. For biological risk factors such as organic dust (total dust, PM₁₀) and endotoxins, open field (manure application), greenhouse (plowing harrowing, planting, manure application, and harvest), fruit (manure application), specialty crops (manure application, making furrows, mixing mushroom media, harvest, and sorting and packing), and livestock (preparation of farm, maintaining poultry litter, feeding, shipment and manure treatment) were selected as SEGs. Conclusions: To establish similar exposure groups in agriculture, it is important that the characteristics of each hazard factor are categorized by identifying risk factors occurring by tasks.

• Journal of Environmental Health Sciences
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• v.40 no.5
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• pp.397-406
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• 2014

Objectives: Perchloroethylene (PCE) is a volatile chemical widely used as a solvent in the dry-cleaning and textile processing industries. It was evaluated as Group 2 "probably carcinogenic to humans" by the Integrated Risk Information System (IRIS) of the United State Environmental Protection Agency (U.S. EPA) in 2012. In order to provide a scientific basis for establishing risk management measures for chemicals on the national priority substances list, aggregate risk assessment was conducted for PCE, included in the top-10 substances. Methods: We conducted the investigation and monitoring of PCE exposure (e.g., exposure scenario, detection levels, and exposure factors, etc.) and assessed its multi-media (e.g., outdoor air, indoor air, and ground water) exposure risk with a deterministic and probabilistic approach. Results: In human risk assessment (HRA), the level of human exposure was higher in the younger age group. The exposure level through inhalation at home was the highest among the exposure routes. Outdoor air or uptake of drinking water represented less than 1% of total contributions to PCE exposure. These findings suggested that the level of risk was negligible since the Hazard Index (HI) induced by HRA was below one among all age groups, with a maximum HI value of 0.17 when reasonable maximum exposure was applied. Conclusion: In conclusion, it was suggested that despite low exposure risk, further studies are needed considering main sources, including occupational exposure.

• Safety and Health at Work
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• v.11 no.2
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• pp.199-206
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• 2020

Background: In a wide range of industries, noise-induced hearing loss remains one of the most prevalent occupational problems. This study aimed to assess the noise exposure level and associated factors of hearing loss among textile workers in Yangon Region, Myanmar. Methods: A cross-sectional study was conducted at a Textile mill (Thamine), Yangon Region, from April to December 2018. In total, 226 workers who were randomly selected from 3 weaving sections participated in face-to-face interviews using a structured questionnaire. A digital sound level meter and pure-tone audiometer were used for the assessment of noise exposure level and hearing loss, respectively. Logistic regression analysis was performed to assess the associated factors of hearing loss. Results: In total workers, 66.4% were exposed to ≥85 dB(A) of noise exposure, and the prevalence of hearing loss was 25.7%. Age ≥35 years, below high school education, hearing difficulty, tinnitus, hypertension, > 9 years of service duration in a textile mill were positively associated with hearing loss. After adjusting confounding factors, age ≥35 years (adjusted odds ratio = 6.90, 95% confidence interval = 3.45-13.82) and tinnitus (adjusted odds ratio = 2.88, 95% confidence interval = 1.13-7.37) were persistently associated with hearing loss. Conclusion: Providing occupational hazard education and enforcement of occupational safety regulations should be taken to decrease the noise exposure level. The regular audiometry test should be conducted for assessment of hearing threshold shift. The employer needs to implement a hearing conservation program in workplace when noise exposure reaches or exceeds 85 dB(A) for 8 hours.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.201-201
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• 2011

산지유역의 지표 환경이 급격히 교란된 지역에서 집중 호우가 발생하면, 과대한 토사유출로 인해 하천유역 홍수 재해요인으로 작용할 수 있다. 본 연구에서는 산불발생지역, 벌목지역, 도로공사지역과 같이 산지환경이 급변한 지역을 토사유출 시험유역으로 운영하였다. 세 개의 시험유역 중에 지표교란이 심각한 도로공사시험유역에서 강우유출 및 토사유출이 가장 크게 발생하였다. 그림 1은 각 시험유역별 강우강도에 따른 첨두유량 관계를 나타낸 것이다. 또한 산불 후 10년이 경과된 급경사 산불시험유역이 벌목시험유역보다 유출 및 토사유출량이 많았다. 벌목시험유역은 벌목이후 잔류물과 빠른 식생회복으로 지표상태가 빠르게 안정화되어 유출 및 토사유출량이 적게 발생하였다. 도로공사 시험유역 나지사면에서 시행된 사면처리 공법 시공 전 후로 토사유출량의 변화가 현저히 크며(그림 2), 이는 공사를 진행하는 중에 적절한 사면관리 처리를 통한 토사유출량 저감이 필요하다는 것을 나타낸다.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.572-576
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• 2007

Railroad systems can be divided into the primary function for transporting passengers or freight and secondary function covering diverse environmental factors and interfaces. So, the most biggest and important reason and the goal of railroad systems is to satisfy the need for transportation based on the production and consumption of energy. Especially, the operation of safe systems is the inevitable element for achieving this objective. Performing this can be ultimately satisfied only when the relationship among operators, contractors, suppliers and assessors is established according to their missions. Therefore, we are trying to finding the way of approaching it systematically by reviewing which procedures and methodologies mission performers in various domains have to follow.

• International Journal of Reliability and Applications
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• v.4 no.4
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• pp.183-190
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• 2003

Rail breaks and derailments can cause a huge loss to rail players due to loss of service, revenue, property or even life. Maintenance has huge impact on reliability and safety of railroads. It is important to identify factors behind rail degradation and their risks associated with rail breaks and derailments. Development of mathematical models is essential for prediction and prevention of risks due to rail and wheel set damages, rail breaks and derailments. This paper addresses identification of hazard modes, estimation of probability of those hazards under operating, curve and environmental condition, probability of detection of potential hazards before happening and severity of those hazards for informed strategic decisions. Emphasis is put on optimal maintenance and operational decisions. Real life data is used for illustration.

• Journal of Food Hygiene and Safety
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• v.16 no.2
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• pp.103-110
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• 2001

Predictive food microbiology(PFM) is an emerging area of food microbiology since the later 1980’s. It does apply mathematical models to predict the responses of microorganism to specified environmental variables. Although, at present, PFM models do not completely developed, models can provide very useful information for microbiological responses in HACCP(Hazard Analysis Critical Control Point) system and Risk Assessment. This study illustrates the possible use of PFM models(PMP: Pathogen Modeling Program win5.1) with milk in several elements in the HACCP system, such as conduction of hazard analysis and determination of CCP(Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage fixed factors were pH 6.7, Aw 0.993 and NaCl 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage (Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The variable factor was storage temperature at the range of 4~15$^{\circ}C$ and the fixed factors were pH 6.7, Aw 0.993 and NaC 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage temperature.

• Journal of Preventive Medicine and Public Health
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• v.36 no.4
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• pp.359-366
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• 2003

Objectives : This study was conducted to review the diffusion process and factors affecting the adoption of the Health Center Information System (HIS). Methods : Data were collected from POSDATA (private company), MOHW, other Ministries and local governments. To specify the date of adoption, supplementary information was collected from 40 health centers. The following three kinds of factors were analyzed. Internal factors included type, size, and innovativeness of health centers. Community factors were composed of population sire, economic status, and level of education. Organizational environmental factors consisted of information score of the municipalities, financial support of the from central government, and the neighborhoodness of innovator health centers. Results : All health centers in the metropolitan cities of Seoul, Gwangju and Jeju adopted the HIS. The laggards were those in the metropolitan cities of Busan (18.8%), Incheon (20.0%) and Daejun (20.0%), and cities with population more than 300,000 (54.8%) and counties with health center hospitals (47.1%). Financially supported rural health centers adopted the HIS more rapidly than those not supported. The factors identified as being statistically significant (p<0.05), from a univariate analysis by Kaplan-Meier method, were: (1) internal factors of the type, size and innovativeness of health centers; (2) community factors of population size and economic status; (3) organizational environmental factors of the central government financial support and the neighborhoodness of innovator health centers. A multivariate analysis, using a Cox proportional hazard method, proved the innovativeness of health centers, central government financial support and the neighborhoodness of innovator health centers, were statistically significant (p<0.05). Conclusions : The innovativeness of health centers, financial support from central government and the neighborhoodness of innovator health centers, rather than community factors related to regional socioeconomic status, affected ffe adoption of the HIS in health centers. Further in-depth studies, modifying the MOHW's strategy to propagate the HIS to the laggard health confers, are recommended.