• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.63-63
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• 2022

기상 예보자료는 발생 가능한 재난의 예방 및 대비 차원에서 매우 중요한 자료로 활용되고 있다. 우리나라 기상청에서는 동네예보를 통해 5km 공간해상도의 1시간 간격 초단기예보와, 6시간 간격 정량강우예보(Quantitative Precipitation Forecast, QPF)의 단기예보 정보를 제공하고 있다. 그러나 이와 같은 예보자료는 강우량의 시·공간변화가 큰 집중호우와 같은 기상자료를 활용한 수문학적인 해석에는 한계가 있다. 예보자료를 수문학에 활용하기 위한 시·공간적 해상도 개선뿐만 아니라 방대한 기상 및 기후 자료의 예측성능을 개선하기 위한 다양한 연구가 진행되고 있다. 본 연구에서는 기상청이 제공하는 지역 앙상블 예측 시스템(Local ENsemble prediction System, LENS)와 종관기상관측시스템(ASOS) 및 방재기상관측시스템(AWS) 관측 데이터 및 동네예보에 기계학습 방법을 적용하여 수문학적 정량적 강수량 예측(Hydrological Quantitative Precipitation Forecast, HQPF) 정보를 생산하였다. 전처리 과정을 통해 모든 데이터의 시간해상도와 공간해상도를 동일한 해상도로 변환하였으며, 예측 변수의 인자 분석을 통해 기계학습의 예측 변수를 도출하였다. 기계학습 방법으로는 처리속도와 확장성을 고려하여 XGBoost(eXtreme Gradient Boosting) 방식을 적용하였으며, 집중호우에서의 예측정확도를 높이기 위해 확률매칭(PM) 방식을 적용하였다. 생산된 HQPF의 성능을 평가하기 위해 2020년에 발생한 14건의 호우 사상을 대상으로 태풍형과 비태풍형으로 구분하여 검증을 수행하였다.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.69-75
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• 2009

This paper examines the evolving role of ijang(village representative) and his job stress during Pyeongchang floods in 2006. Results based on telephone survey and interviews reveal that ijang played a crucial role in evacuating residents, allocating resources and commanding the recovery, although official job description considered him as only a mediator between local officers and villagers. Moreover, unexpected enormous burden created severe job stress to many ijangs; while 60 percent felt like quitting the job, about three fourth felt fretful whenever the telephone rang and lost some weights. Chi-square analysis also indicated that previous job training, villagers' abuse, and disaster damages were significantly related with job stress. These results suggest that the emergent human resources model rather than the command and control model can be an effective approach for a disaster management plan in rural Korea.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.3
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• pp.269-275
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• 2004

Geographic data have widely been applied in different areas including landuse, city planning and management, environment, disaster management and even daily use of citizens. Since geographic data have been built individually using different methods, many problems such as data inconsistency, duplicated investment, and confusion in decision making have arisen. Thus, the necessity of national framework database that can be shared by different areas has increased. As a result, eight fields of the framework database were defined by NGIS Law and 19 detailed items were selected. This study used the AHP (Analytical Hierarchy Process) and the decision tree to evaluate the relative importance of the items (eg. roads, railroads, coastline, surveying control points, and etc.) and presented the groups classified according to the priorities of the items. The result of this study is believed to contribute to effective budget planning for building national framework database.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.723-733
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• 2020

Purpose: This study was designed to draw up problems with the safety and health diagnosis system, and designed a hierarchical survey model of the clauses prescribed by the Occupational Safety and Health Act. The purpose of the survey is to derive the effectiveness of the safety and health diagnosis system at the construction site by targeting three groups of experts. Method: This paper set up the legal status analysis and overseas related system analysis and AHP hierarchy analysis survey model. In addition, the validity of the analysis results was verified by a survey. Results: The analysis of the survey items showed a high importance on items included in the human utilization and the precision of the pre-plan. In particular, mid-sized construction companies showed the highest importance for their active activities after the safety and health diagnosis. Conclusion: Through this study, we should recognize problems for improving the safety and health system of construction industry and prepare policy and institutional improvement measures for experts.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.57-78
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• 2017

SNS is a useful tool to quickly deliver information in an emergency given their speed and expandability. Especially, SNS in the event of a disaster or an accident can offer on-site, accurate and detailed updates about essential information such as the safety of victims and the development of the situation, served as a valuable complement to the conventional media. This study aims to perform a comparative analysis on how social media are currently used by emergency management authorities in South Korea and other countries. Based on the results, this study proposed more effective ways to exploit SNS and improve efficiency of disaster management. To accomplish the goals, this study collected tweet information from various sources including the FEMA of the U. S., the FDMA and the Central Disaster Council of Japan, and the MPSS of Korea. The collected tweet information was analyzed by feedback, time series, and information types. The feedback analysis aims to quantify the number of monthly user feedback in order to assess user satisfaction about the tweet information. The time series analysis identifies the number of tweet information, feedback index and keywords by country for certain duration, examining why certain messages showed high feedback indices and what kind of contents should be offered by the authorities. Finally, the analysis of information type reviews the type of information contained in the tweet information that drew users' attention to identify the information type in which the authorities should deliver information to users. Based on these analyses, this study proposed improvement methods to use Tweeter in MPSS.

• Journal of the Korea institute for structural maintenance and inspection
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• v.22 no.3
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• pp.38-45
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• 2018

The purpose of this study is to deduct the structural damage / work process risks factors which can be occurred during the decommissioning in the NPP containment concrete structure. To achieve these purpose, risk profile specified in the construction industry is analyzed, and the work process of NPP decommissioning and the construction project were matched based on the similarity of each works. Accordingly, human and physical risk factors are classified. Finally, the risk associated with the building structure and work process was classified as per their process activities, and risk typology explaining the disaster which put the structure, equipments, machine and workers in serious danger was developed.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.107-114
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• 2011

The building infrastructures such as high-rise buildings, shopping malls, exhibition centers, etc. are becoming larger in magnitude and more complex in complexity. Considering a large number of tenants and visitors are staying in these facilities, it is upper most important to keep those in safe from fire outbreak. In this paper, a u-Disaster Prevention System has been presented to provide effective fire evacuation when fire breaks out in building infrastructures. The ubiquitous sensor network (USN) technology was applied to detect heat and smoke from fire outbreak. The information then is transmitted wirelessly to a host computer. The tenants and visitors residing in the facility can evacuate following the instruction that is displayed in LED sign boards of the u-Disaster Prevention System. A case study shows that the ubiquitous environment can help people evacuate faster in time, shorter in distance with the assistance of the u-Disaster Prevention System.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.2
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• pp.121-130
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• 2008

Recently, we can see an increasing amount of dam damage or failure due to aging, earthquakes occurrence and unusual changes in weather. For this reason, dam safety is gaining more importance than ever before in terms of disaster management at a national level. Therefore, the government is trying to come up with an array of legal actions to secure consistent dam safety. Other dam management organizations are also taking various institutional and technical measures for the same purpose. In this study, Dam Safety Management System, KDSMS, has developed for consistent and efficient dam safety management. The KDSMS consists of dam and reservoir data, a hydrological information system, a field inspection and data management system, a instrumentation and monitoring system including earthquake monitoring, a field investigation and safety evaluation system, and a collective information system. The KDSMS is a kind of enterprise management system which has been developed to deal with safety management of each field, research center, and headquarter office and their correlation as well as detailed safety information management.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.337-338
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• 2017

지난 60년간 일본, 한국, 중국은 물론이고 아시아에서의 공정 산업은 크게 성장했다. 그 발전과정에서 다양한 사고들을 겪고 극복해내는 과정이 있었으며, 최근 한국의 화학물질관리법을 포함하여 안전 기술 및 안전 관리에 많은 진전 또한 있었다. 이 발표의 서두에서는 한국의 공정산업의 역사적 발전에 대해 뒤돌아보며 당면 과제들에 대한 논의를 전개하고자 한다. 장기적인 경제발전의 일환으로 중화학공업 육성을 표방하며, 초기 단계에 정부주도의 적극적인 산업 발전 계획을 수립해 산업의 성장을 주도하였으며, 1990년대에는 어려움을 극복하기 위해 시장 중심의 구조 조정이 도입되었다. 지난 30년 동안 한국사회에서는 가스 폭발, 건물 붕괴, 화물 및 여객선의 사고를 비롯한 치명적인 사고들이 있었다. 이러한 사고 후에는 필연적으로 안전 정책 및 법률에 중요한 발전이 있었는데, 가장 최근의 것은 2012년 유독 가스 배출 사고 이후 화학물질관리법(Chemical Control Act)을 시행한 것이다. 또한 앞으로 20년간 (2036 년까지) 다양한 구성요소의 수준을 정량화할 수 있는 지속 가능성 개념에 대한 강한 요구가 있음은 주지의 사실이다. 지속 가능성의 새로운 패러다임은 에너지, 경제 및 환경의 전통적인 구성 요소로 구성된다. 더불어 지속 가능성은 안전, 보안 및 세계화(globalization)를 다루어야 한다. 미래의 지속 가능성 개념은 이러한 6가지 구성 요소 모두를 하나의 기능으로 정량적으로 통합할 것이다. 특히 이 작업에 대한 강력한 리더십은 화학 공정 산업에서 절대적으로 부족한 현실이기에, 이러한 기능의 통합과 특화된 교육 및 훈련에 대해 한국의 사례와 해외에서의 글로벌 응용 프로그램에 대란 논의를 통해 본 발표는 향후의 발전방향과 비전에 대해 논의하고자 한다.

• Journal of the Society of Disaster Information
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• v.13 no.2
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• pp.199-212
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• 2017

Rapid roadway snow removal is significantly important due to difficult occurrence estimation of heavy snowfall disasters by global warming and climate change. Local governments of S. Korea have snow removal equipments and vehicles based on past experiences without considering snowfall and roadway characteristics. The objective of this research is to develop the demand estimation procedure for snow removal equipments and vehicles based on regional snowfall and roadway characteristics. This research first classifies regional snowfall characteristics using KMO's ten-year snowfall data. Second, roadway snow removal length is computed for local governments. Real possession data is compared with demand estimation of snow removal equipments & vehicles for each local government with roadway snow removal scenarios. Finally, required demands of snow removal equipments & vehicles are predicted by concerning regional snowfall amount and required snow removal hours. Results from this research are used for developing heavy snowfall disaster management policies for optimal demands and snow removal routes of 229 local governments.