• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.4
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• pp.208-220
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• 2016

Automatic Mountain Meteorology Observation System (AMOS) is an important ingredient for several climatological and forest disaster prediction studies. In this study, we select the optimal sites for AMOS in the mountain areas of Honam and Jeju in order to prevent forest disasters such as forest fires and landslides. So, this study used spatial dataset such as national forest map, forest roads, hiking trails and 30m DEM(Digital Elevation Model) as well as forest risk map(forest fire and landslide), national AWS information to extract optimal site selection of AMOS. Technical methods for optimal site selection of the AMOS was the firstly used multifractal model, IDW interpolation, spatial redundancy for 2.5km AWS buffering analysis, and 200m buffering analysis by using ArcGIS. Secondly, optimal sites selected by spatial analysis were estimated site accessibility, observatory environment of solar power and wireless communication through field survey. The threshold score for the final selection of the sites have to be higher than 70 points in the field assessment. In the result, a total of 159 polygons in national forest map were extracted by the spatial analysis and a total of 64 secondary candidate sites were selected for the ridge and the top of the area using Google Earth. Finally, a total of 26 optimal sites were selected by quantitative assessment based on field survey. Our selection criteria will serve for the establishment of the AMOS network for the best observations of weather conditions in the national forests. The effective observation network may enhance the mountain weather observations, which leads to accurate prediction of forest disasters.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.517-534
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• 2021

Hydrogen fuel is emerging as an new energy source to replace fossil fuels in that it can solve environmental pollution problems and reduce energy imbalance and cost. Since hydrogen is eco-friendly but highly explosive, there is a high concern about fire and explosion accidents of hydrogen fueled vehicles. In particular, in semi-enclosed spaces such as tunnels, the risk is predicted to increase. Therefore, this study was conducted on the applicability of the equivalent TNT model and the numerical analysis method to evaluate the hydrogen explosion pressure in the tunnel. In comparison and review of the explosion pressure of 6 equivalent TNT models and Weyandt's experimental results, the Henrych equation was found to be the closest with a deviation of 13.6%. As a result of examining the effect of hydrogen tank capacity (52, 72, 156 L) and tunnel cross-section (40.5, 54, 72, 95 m²) on the explosion pressure using numerical analysis, the explosion pressure wave in the tunnel initially it propagates in a hemispherical shape as in open space. Furthermore, when it passes the certain distance it is transformed a plane wave and propagates at a very gradual decay rate. The Henrych equation agrees well with the numerical analysis results in the section where the explosion pressure is rapidly decreasing, but it is significantly underestimated after the explosion pressure wave is transformed into a plane wave. In case of same hydrogen tank capacity, an explosion pressure decreases as the tunnel cross-sectional area increases, and in case of the same cross-sectional area, the explosion pressure increases by about 2.5 times if the hydrogen tank capacity increases from 52 L to 156 L. As a result of the evaluation of the limiting distance affecting the human body, when a 52 L hydrogen tank explodes, the limiting distance to death was estimated to be about 3 m, and the limiting distance to serious injury was estimated to be 28.5~35.8 m.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.46-57
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• 2017

This study examined the level of job satisfaction of rescue workers in accordance with the sociodemographic and health related characteristics, as well as job-related factors. Moreover, this study aimed to know the relationship between job satisfaction and violence experience, job stress, and burn-out. A total of 1,240 rescue workers, who works in 14 fire stations across the country, were surveyed. The survey was conducted by self-administered questionnaires during the period between March 1st and April 30, 2016. As a result, the score of job satisfaction according to the sociodemographic and health related characteristics were significantly lower in the younger-aged group, unmarried group, no-regular exercise group, and poor group of subjective sleep evaluation, unhealthy group of subjective health status than their respective counterparts. From the perspective of job-related characteristics, the job satisfaction scores were significantly lower in the groups of lower rank, lower job career, lower monthly income, hard group of physical burden of work, dissatisfaction group of sense of satisfaction in work, unfit group of the job, without group of consider quitting the job than their respective counterparts. The score of job satisfaction, in accordance with violence experience, job stress, and burn-out were significantly lower in groups with higher scores of violence experience, job stress, and burn-out. In a logistic regression analysis, the adjusted odds ratio of the low-risk job satisfaction were significantly increased in the very high group than in the low group of violence experience, in middle, high and very high group than in low group of job stress, in very high group than in low group of burn-out. The results suggest that the job satisfaction of rescue workers is significantly influenced by various factors, including socio-demographic characteristics, health-related behaviors, job-related characteristics, violence experience, job stress, and burn-out.