기후변화는 연안지역에 심각한 영향을 미치고 있으며 그 영향이 점점 증가할 것이라고 예상되는 바, 최근 기후변화 적응 및 리스크 평가에 있어 많은 연구들이 취약성과 함께 회복탄력성 개념을 이용하고 있다. 본 연구의 목적은 기후변화 적응을 위한 연안재해 회복탄력성 측정 모형을 개발하는 것이다. 측정 모형 개발에 앞서 연안재해 회복탄력성에 대한 광범위한 문헌검토를 통해 취약성과 회복 탄력성에 대한 조작적 정의와 함께 여러 피드백 메커니즘이 포함된 개념적 프레임워크를 작성하였다. 연안재해 회복탄력성 측정 모형은 네 가지 측정값(MRV, LRV, RTSPV, ND)과 연안재해 회복탄력성 복합 지수(CRI)를 포함하고 있으며, 개발된 지수는 국내 연안침식 사례에 적용되었다. 또한 지수 등급에 따른 지역적 분석이 수행되었다. 연구 결과, 네 가지 회복탄력성 측정값을 통해 각 지점이 가지는 연안침식 회복탄력성의 다양한 특성을 파악할 수 있음을 확인하였다. 연안 회복탄력성 복합 지수의 매핑 결과 서해안 및 남해안 지역에 비해 동해 안 지역들은 연안침식 회복탄력성이 상대적으로 떨어지는 것으로 나타났다. 본 연구의 회복탄력성 측정 모형은 적응 이후의 이행전략에 대한 논의를 제공하는 도구로 활용될 수 있으며, 서로 다른 취약 지역 그룹 간 정책지원에 대한 우선순위를 결정하는 데 이용 가능하다.

This study was designed to analyse the performance and the mechanisms of workers' participation and communications in industrial accident prevention activities leading to the reduction of industrial accidents. This study also aimed to find out the causal relationship influencing the promotion of prevention activities of industrial accidents. Of the manufacturing businesses with more than 5 workers as the population of the survey, a questionnaire was conducted with 2,500 workspaces chosen by stratified sampling. Out of 2500 workspaces, 971 workspaces equipped with industrial safety and health committee were analysed in this study. According to the results of this study, the primary influential factors on safety activities were the management of industrial accidents and the cooperations between supervisors and workers on site. The secondary influential factor was the establishment of industrial safety and health committee. Regarding the effectiveness of industrial accident reduction, -0.01 was shown by workplace safety activities by themselves and -0.09 was shown by participation and communications through indirect safety activities. This indicated workers' participation and communications play an important role in the reduction of industrial accidents. By discovering the clue to the mechanism of the workers' participation and communications, this study is expected to stimulate the reduction of industrial accidents by emphasizing the importance of workers' participation and communications in resolving the safety and health problem in the workplaces.

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare algorithms for data analysis of industrial accidents and this paper provides an optimal predicting model of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. Also, this paper provides an approximation model for an optimal predicting model based on NN. The approximation model provided in this study can be utilized for easy interpretation of data analysis using NN. This study uses selected ten independent variables to group injured people according to a dependent variable in a way that reduces variation. In order to find an optimal predicting model among 5 algorithms, a retrospective analysis was performed in 67,278 subjects. The sample for this work chosen from data related to industrial accidents during three years (2002 ~ 2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

The data mining technique is an effective instrument for making large datasets accessible and different industrial accident data comparable. Many research studies have been focused on the analysis of industrial accidents in order to reduce them. However most researches used a typical technique for the analysis of data related to industrial accidents. The main objective of this study is to compare algorithms comparison for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network). This study uses selected nine independent variables to group injured people according to a dependent variable in a way that reduces variation. In this study, data on 10,536 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years (2002 ~ 2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

The oriental life change unit(LCU) models differ from the western LCU model in human behavior, life style, ideas, culture, and psychology factors. Especially, the cause and effect models by behavior scientific approach method have provided the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results of the oriental LCU model and western LCU model. Especially, the death of parents and death of close friend in Korean LCU model feel more acute stress than the western factors. In the case of Korean LCU models between the unmarried and married workers living in the middle area of Korea, death of parents, change in family member's health, change to different line of work, and change in work hours and condition are significant at the significance level of 5%. The priority of life change factors in these models is approved in the order of death of parents, death of spouse, death of close family member, and death of close friend. Finally, the result of this paper can be easily used in order to minimize the industrial accidents by the job stress with the worker and safety manager in real fields.

The life change unit(LCU) models by behavior scientific approach method are very important in order to minimize industrial accident by the job stress. Especially, these models are analyzed the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results between the Eastern LCU model and Western LCU model and its application. Death of parents, death of close friend, jail term, personal injury or illness between the Eastern LCU models and Western LCU models are different in the human behavior and psychological sides, whereas changes in family member s health are turned out same life ideas. In the case of Korean LCU models between the unmarried and married workers living in the middle area are approved in the order of death of parents, death of spouse, death of close family member, and death of close friend.

지진 하중을 받는 전체 네트워크 시스템 및 네트워크 구성 절점에 대한 신뢰성 지수를 구할 수 있는 지진 재해 신뢰성 평가 방법을 전력 송전 네트워크 시스템을 대상으로 개발하였다. 전력 송전 시스템에 대하여 절점과 링크로 구성된 네트워크 모형을 개발하였으며, 절점인 변전소의 지진 취약도 곡선은 변전소 구성 기기의 개별 취약도 곡선으로부터 구하였다. 입력 지진 모형으로서 점 지진원 모형을 사용하였고, doubly truncated Gutenberg-Richter 관계식과 감쇠공식을 적용하였다. 몬테 카를로 시뮬레이션을 적용하여 전력 송전 네트워크 시스템의 신뢰성을 평가한 결과 한국의 전력망에 대한 지진 재해의 효과는 무시할 수 있는 수준은 아닌것으로 평가되었다.

Since climate change increases the risk of extreme rainfall events, concerns on flood management have also increased. In order to rapidly recover from flood damages and prevent secondary damages, fast collection and treatment of flood debris are necessary. Therefore, a quick and precise estimation of flood debris generation is a crucial procedure in disaster management. Despite the importance of debris estimation, methodologies have not been well established. Given the intrinsic heterogeneity of flood debris from local conditions, a regional-scale model can increase the accuracy of the estimation. The objectives of this study are 1) to identify significant damage variables to predict the flood debris generation, 2) to ascertain the difference in the coefficients, and 3) to evaluate the accuracy of the debris estimation model. The scope of this work is flood events in Ulsan city region during 2008-2016. According to the correlation test and multicollinearity test, the number of damaged buildings, area of damaged cropland, and length of damaged roads were derived as significant parameters. Key parameters seems to be strongly dependent on regional conditions and not only selected parameters but also coefficients in this study were different from those in previous studies. The debris estimation in this study has better accuracy than previous models in nationwide scale. It can be said that the development of a regional-scale flood debris estimation model will enhance the accuracy of the prediction.

As a result of dividing typhoon that affected Korean Peninsular between 1999 and 2012 into 7 types of path and entering forecast field and analysis field of RDAPS, until 36 hours from the time of forecast, it is reliable to use the forecast field of RDAPS to predict typhoon and for each typhoon path, the difference between the forecast and the analysis shows normal distribution, which is usable for weather forecast until the 36th hour. In the 48th hour from the time of forecast, the difference of result depending on each typhoon path increased, which was analyzed to be due to errors in the forecast. It was expected that relatively reasonable results should be shown if the 36th hour forecast is used to predict the strength and distribution of strong wind. As a result of using Korean RAM and observing the difference of the maximum damage, reliability was secured up to 36 hours and after 48hours, it was expected that the fluctuation of results may become more severe.

This study was conducted to investigate the correlation between the distribution chart and input data of the predicted 3-second gust and damage cost, by using the forecast field and analysis field of Regional Data Assimilation Prediction System (RDAPS) as initial input data of Korea risk assessment model (RAM) developed in the preceding study. In this study the cases of typhoon Rusa which caused occurred great damage to the Korean peninsula was analyzed to assess the suitability of initial input data. As a result, this study has found out that the distribution chart from the forecast field and analysis field predicted from the point where the effect due to the typhoon began had similarity in both 3-second gust and damage cost with the course of time. As a result of examining the correlation, the 3-second gust had over 0.8, and it means that the forecast field and analysis field show similar results. This study has shown that utilizing the forecast field as initial input data of Korea RAM could suit the purpose of pre-disaster prevention.

본 연구에서는 분포형 모형을 이용하여 재해저감 도시설계기법 시설물 적용을 위한 시스템을 검토하였다. 이 시스템은 기후변화에 따른 폭우재해에 대하여 유출, 침수범람해석 분석 결과를 바탕으로 재해저감 도시설계기법 시설물 적용을 통하여 재해저감 효과에 대한 정량적 분석과 설치비용 등의 정보를 제공함으로서 분석 대상지역의 도시설계 시설물 설치 시 최적위치 및 조합Set 등의 합리적인 의사결정을 지원하게 된다. 이 시스템에서 유출, 침수범람해석 모의 및 도시설계기법 시설물 적용을 위한 분석모형으로는 GIS기반 분포형 모형을 사용하였다. 이는 투수성포장, 식생수로, 옥상녹화, 침투트랜치 등의 침투형 시설물과 빗물받이, 빗물통, 지하저류조 등의 저류형 시설물 크게 2가지로 구분한 도시설계기법 시설물에 대하여 시스템에 적용할 때 시설물의 설치 위치와 규모에 따라 매개변수와 입력 자료의 변경이 용이하고 간편하게 적용할 수 있기 때문이다. 이 시스템은 실제 침수지역과의 비교·분석, 재해저감 도시설계기법 시설물의 실증 실험을 통한 정확성 검토 등의 지속적인 연구가 필요하며, 적용성과 신뢰성에 대한 검증이 완료되었을 경우 폭우재해에 따른 위험분석과 재해저감 시설물 설치 지원 결정 등의 대응체계 정책 수립에 활용될 수 있을 것으로 기대된다.

최근 과학기술이 고도로 발달되어 있는 현대사회에서 자연재해에 대한 지속적인 대비와 예측이 진행되고 있는 가운데 인간은 자연재해를 극복하기 위하여 오랜기간 꾸준하게 노력을 시도하고 있다. 그러나 자연재해의 피해 또한 인간의 노력 이상으로 커지고 있으며 자연재해를 예방하기 위해서 자연재해위험지구 정비사업을 수행하고 있다. 그러나 정비사업 결과에 대한 구체적인 효과분석이 미비한 상태이다. 본 연구에서는 자연재해위험지구 정비사업의 효과를 분석하기 위하여 분석대상지구를 선정하고 지역주민 현장설문조사를 실시하여 설문도구의 타당성과 신뢰도 분석을 실시하고 빈도 분석 및 기술통계 분석을 실시하였다. 또한 구조방정식모형(AMOS)을 통하여 정책의 타당성을 분석하였다. 분석결과 자연재해정비사업의 정책은 합리성과 적합성이 담보되어 있고, 지역주민의 정신적·물리적 환경을 개선시키는 것으로 나타났다. 또한 정비사업에 대하여 긍정적인 인식을 형성하였으며, 정부의 정치적 지지도까지 향상시키는 것으로 나타났다. 따라서 자연재해정비사업의 진행은 합리성과 적합성이 담보된 사업이고 이는 지역사회를 발전시키고 건전한 민주주의 발전까지 영향을 미치는 것으로 나타났다.