• Journal of The Geomorphological Association of Korea
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• v.25 no.1
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• pp.97-113
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• 2018

Low-frequency geological natural disaster events such as Pohang earthquake have been occurred. As a results, there's a growing recognition on the importance of education and training for low frequency geological disasters in Korea. In spite of many years of scientific researches on volcanic disaster prevention and preparedness on Baekdusan volcano, the results do not provide the proper scenario for the training for volcanic ash event. Fall 3D volcanic ash diffusion model was run based on wind field data for the last five year, assuming Aso Mountain's explosion with volcanic explosion index 5 for seventy two hours. The management criteria values for proper actions in the previous studies were applied to make a scenario for thirteen groups of the disaster response teams such as train transportation, water supply, electrical facilities and human health. The models on the relationship between education and training for disaster prevention and response were suggested to fulfill the scientific and practical training at local level.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.95-104
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• 2017

Among the industrial disasters caused by drop, ladder related drop disasters are occurred the mostly. The victims are occurred continuously. This study analyzed current situation of industrial disasters for recent 10 years(2005~2014) and compared analyzed statistics of death disasters of ladder by workplace scale, age, occupation, employment type, working content, scarred area, etc. in detail. This study suggested direction of safety standard modification for ladder that is an original cause material of many drops, direction of safety training strengthening of small-scaled workplace, and safety model based on disaster statistics and should contribute to reduction of disaster rate for ladder working.

• Journal of KIISE
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• v.42 no.3
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• pp.281-288
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• 2015

A volcano disaster damage prediction system supports decision making for counteracting volcanic disasters by simulating meteorological condition and volcanic eruptions. In this system, a program called Fall3D generates predicted results for the diffusion of ash after a volcanic eruption on the basis of meteorological information. The relevant meteorological information is generated by a weather numerical prediction model known as Weather Research & Forecasting (WRF). In order to reduce the entire processing time without modifying these two simulation programs, pipelining can be used by partly executing Fall3D whenever the hourly (partial) results of WRF are generated. To reduce the processing time, successor programs such as Fall3D require that certain features be suspended until the part of the results that is based on prior calculation is generated by a predecessor. Even though Fall3D does not have a suspend or resume feature, pipelining effect can be produced by using the program's restart feature, which resumes simulation from the previous session. In this study, we suggest a workflow that can control the execution type.

• Journal of Korean Society of Disaster and Security
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• v.5 no.1
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• pp.1-6
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• 2012

This study analyzed the direct costs of fall accidents, which have the highest accident rate, for domestic construction industry workers. Firstly, the average insurance payment per person due to fall accidents in the construction industry is around 19 million won (18,971,000 won). Given that the average number of workers suffering fall accidents over ten years is 5,863, the total cost of losses from fall accidents is about 1.1 trillion won (111,360,000,000 won). Secondly, a cost-based economic feasibility analysis was done to develop nonstructural preventive measures for fall accidents. Since there was no data expressing the costs and effects of preventive measures in terms of monetary value, the economic feasibility analysis was attempted with a focus on how much the newly introduced preventive measures can reduce the accident loss costs due to fall accidents. Thirdly, if the accident loss size is grasped and the preventive measures for the causes of fall accidents are developed and strictly implemented, the insurance fee that can reduce the accident loss costs can be determined. Further study is needed to estimate the benefit of the accident loss cost reduction seen from the cost-based approach method.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.81-88
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• 2019

Recently, the government has shown a decrease in disaster accidents throughout the industry and construction industry due to various efforts to reduce disasters. However, the fall accidents in the construction industry are not decreasing but increasing. In particular, the fall accident caused by scaffolding is low each year, but the disaster intensity is very high in that it directly leads to the death of workers. Scaffolding working environment in domestic construction industry is very poor. Moreover, scaffold workers in small construction sites are not subject to safety oversight and control. Therefore, this study is the installation and non-installation of the vertical lifeline, which is the most fundamental problem to be prevented during the study, to prevent the fall of the moon scaffold. In addition, it is hoped that it will be a solution for preventing accidents in construction site construction through the identification of various causes of disasters such as rope loosening, rope breaking, and fixed point failure.

• Ocean and Polar Research
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• v.31 no.2
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• pp.219-229
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• 2009

In order to establish annual variations in the marine ecosystem of the East China Sea, suspended solids (SSs) and particulate organic carbon (POC) were extensively investigated in the northern part of the East China Sea from August 2003 to April 2008. Surface SS concentrations showed large spatial variations in spring and fall, but not in summer. Surface SS concentrations in spring were lower than those in summer and fall. In summer, SSs discharged from Changjiang were mostly deposited in the coastal areas and did not reach our study area which was located about 260 km from the river mouth. High SS concentrations were observed near the bottom, which resulted from resuspension of bottom sediments by the bottom currents. Surface POC concentrations did not exhibited large seasonal variations. Phytoplankton biomass was a main factor controlling surface POC concentrations. POC/chlorophyll ratios showed large seasonal variations, with maximum numbers in summer. POC/PON ratios were higher in summer than the Redefied ratio (6.6), while they were lower in spring and fall. In summer, higher POC/chlorophyll and POC/PON ratios were probably attributed to the high phytoplankton mortality caused by nutrient depletion in surface waters.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.11
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• pp.155-162
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• 2019

The construction industry is the highest safety accident causing industry as 28.55% portion of all industries' accidents in Korea. In particular, falling is the highest accidents type composed of 60.16% among the construction field accidents. Therefore, we analyzed the factors of major disaster affecting the fall accident and then derived feature importances by considering various variables. We used data collected from Korea Occupational Safety & Health Agency (KOSHA) for learning and predicting in the proposed model. We have an effort to predict the degree of occupational fall accidents by using the machine learning model, i.e., Adaboost, short for Adaptive Boosting. Adaboost is a machine learning meta-algorithm which can be used in conjunction with many other types of learning algorithms to improve performance. Decision trees were combined with AdaBoost in this model to predict and classify the degree of occupational fall accidents. HyOperpt was also used to optimize hyperparameters and to combine k-fold cross validation by hierarchy. We extracted and analyzed feature importances and affecting fall disaster by permutation technique. In this study, we verified the degree of fall accidents with predictive accuracy. The machine learning model was also confirmed to be applicable to the safety accident analysis in construction site. In the future, if the safety accident data is accumulated automatically in the network system using IoT(Internet of things) technology in real time in the construction site, it will be possible to analyze the factors and types of accidents according to the site conditions from the real time data.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.349-354
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• 2019

Workers who die from falls at construction sites account for about 40 percent of the total number of deaths and are the main forms of accidents. In addition, as the nation's population structure is gradually aging, the rate of aging is increasing at construction sites, and the number of crashes due to decreased physical function and cognitive ability is increasing. Accordingly, we conducted a survey on the factors affecting the fall of older workers and would like to present more fundamental measures to prevent falls, focusing on older workers who are the victims of the disaster.

• Journal of Korean Society of Forest Science
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• v.99 no.2
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• pp.163-171
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• 2010

Forest fires have potentials to change the structure and function of forest ecosystems and significantly influence on atmosphere and biogeochemical cycles. Forest fire also affects the quality of public benefits such as carbon sequestration, soil fertility, grazing value, biodiversity, or tourism. The prediction of fire occurrence and its spread is critical to the forest managers for allocating resources and developing the forest fire danger rating system. Most of fires were human-caused fires in Korea, but meteorological factors are also big contributors to fire behaviors and its spread. Thus, meteorological factors as well as social factors were considered in the fire danger rating systems. A total of 298 forest fires occurred during the fall season from 2002 to 2006 in South Korea were considered for developing a logistic model of forest fire occurrence. The results of statistical analysis show that only effective humidity and temperature significantly affected the logistic models (p<0.05). The results of ROC curve analysis showed that the probability of randomly selected fires ranges from 0.739 to 0.876, which represent a relatively high accuracy of the developed model. These findings would be necessary for the policy makers in South Korea for the prevention of forest fires.

• The Korean Journal of Emergency Medical Services
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• v.20 no.2
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• pp.113-125
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• 2016

Purpose: The purpose of this study was to investigate factors influencing severity of occupational fall injury. Methods: A self-reported questionnaire was completed by 105 patients sustaining occupational fall injury between July 2010 and January 2013. The study instruments were developed by the National Traumatic Occupational Fatalities and National Electronic Injury Surveillance System. The questionnaire consisted of general characteristics of the subjects (30 items), workplace characteristics (12 items) and disaster characteristic (13 items). Results: Demographic factors, except age, did not affect the severity of injury. Injured patients aged 50-59 years tended to have more severe injuries than those aged 39 years. Type of transport vehicles, conditions, and the circumstances of the fall influenced injury severity. Patients transported by 119 ambulance suffered more severe fall injuries than those who were not. Electrical workers did not receive safety education wihin a year. Critical height in severe injuries was > 6 meters. Conclusion: Occupational fall injuries were influenced by patient age, types of transport vehicles, fall height, size of workplace, and safety education experience.