• Title/Summary/Keyword: 재난정보 DB

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A Study of Disaster Recognition Based on Disaster-related Place Names (재난과 관련된 지명에 투영된 방재인식에 관한 연구)

  • PARK, Kyeong;KIM, Sunhee
    • Journal of The Geomorphological Association of Korea
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    • v.17 no.2
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    • pp.15-28
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    • 2010
  • This study aims at the exploration of usefulness of traditional knowledge reflected in the place names. This study is useful and pragmatic for the establishment of disaster prevention measures from the analyses of disaster database, which shows the regional distribution and historical changes of disaster characteristics through history. The construction and categorization of disaster-related place names are based on historical maps and literatures on place names. One hundred twenty eight disaster-related place terminologies are selected based on disaster causes and possibilities. Design of field structures and category codes for the disaster-related place names has been proposed and the construction of disaster-related place names from the six sources has been completed.

Introduction to high resolution weather observation of SK Planet (SK플래닛 국지기상 관측 소개)

  • Myung, Kwang Min;Park, Won Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.77-77
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    • 2015
  • 기상이변으로 인한 사회 경제적 피해의 증가로 기상정보에 대한 중요성이 커지면서 해외에서는 민간 기업이 기상 관측망을 구축하는 사례가 나타났다. 미국의 Earth Network은 전 세계에 1만개의 기상 관측센서를 설치하였고, 일본의 통신회사인 NTT DoCoMo는 일본에 4000여 개의 기상 및 환경관측 센서를 구축하였다. 국내에서는 SK플래닛이 자사의 플랫폼 기술과 SK텔레콤의 기지국 인프라를 활용하여 수도권 지역에 국지기상 관측망을 구축하였다. SK플래닛은 2013년 서울지역에 1km 간격으로 264개의 기상센서를 설치하고, 2014년 인천 경기지역에 3km 간격으로 825개의 기상센서를 추가 설치하여, 현재 1089개의 국지기상 관측망을 운용하고 있다. 관측에 사용한 센서는 우량계와 복합 기상센서로 강수량, 기온, 습도, 바람, 기압을 측정한다. 관측된 자료는 데이터로거에서 기상청의 자료처리 표준규격에 따라 처리한 후 M2M 모뎀을 통해 1분마다 서버로 전송한다. 전송된 자료는 기상정보 플랫폼의 수집 서버에서 프로토콜 변환 후 원본자료 DB에 저장하고, 실시간 품질관리를 마친 후 품질관리 자료 DB에 저장한다. 관측 지점의 기본정보 및 작업이력은 메타데이터 DB에 저장되고 관리자 페이지를 통해 조회 및 수정 된다. 관측 자료의 품질 보증은 제조사의 센서 Calibration부터 서비스 모니터링 까지 각 단계별로 체계적인 품질관리를 통해 이루어진다. 품질관리를 마친 국지기상 관측 데이터는 응용프로그램 개발자가 편리하게 사용할 수 있는 API(Application Programming Interface)형태로 제공된다. 2013년 여름부터 수집된 1~3km 해상도의 SK플래닛 국지기상 관측 자료를 통해 그 동안 정량적으로 확인하지 못한 국지성 호우 시의 강수량 편차에 대해 알 수 있었다. 2014년 7월 31일 양평지역에 내린 국지성 호우는 시간당 최대 90mm 이상의 비가 내린 사례로, 귀여리 관측소(SK 플래닛)에 시간당 93.1mm가 내리는 동안 퇴촌 관측소(기상청)에는 17.5mm의 비가 내려, 두 관측지점 간 거리가 3.4km 임에도 불구하고 시간당 75mm 이상의 강수량 차이를 보였다. 앞으로 SK플래닛의 국지기상 관측 자료가 국지성 호우의 조기 경보 및 예측 정확도 향상에 활용되어 재난으로부터 국민의 생명과 재산을 지키는데 많은 도움이 되기를 기대한다.

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Site Classification for Incheon According to Site-Specific Seismic Response Parameters by Estimating Geotechnical Spatial Information Based on GIS (GIS 기반 지반공간정보 추정을 통한 부지고유 지진응답 매개변수 기반 인천 지역의 부지분류)

  • SUN, Chang-Guk;KIM, Han-Saem
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.17-35
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    • 2016
  • Earthquake-induced disasters are often more severe in locations with soft soils than firm soils or rocks due to differences in ground motion amplification. On a regional scale, such differences can be estimated by spatially predicting subsurface soil thickness over the entire target area. In general, soil deposits are generally deeper in coastal or riverside areas than in inland regions. In this study, a coastal metropolitan area, Incheon, was selected to assess site effects and provide information on seismic hazards. Spatial prediction of geotechnical layers was performed for the entire study area within the GIS framework. Approximately 7,000 existing borehole drilling data in the Incheon area were gathered and archived into the GIS Database (DB). In addition, surface geotechnical data were acquired from a walkover survey. Based on the built geotechnical DB, spatial zoning maps of site-specific seismic response parameters were created and presented for use in a regional seismic strategy. Site response parameters were performed to determine site coefficients for seismic design over the entire target area and compared with each other. Site classifications and subsequent seismic zoning were assigned based on site coefficients. From this seismic zonation case study in Incheon, we verified that geotechnical GIS-DB can create spatial zoning maps of site-specific seismic response parameters that are useful for seismic hazard mitigation particularly in coastal metropolitan areas.

Development of Safety Equipment Database for Effective Management in Wooden Cultural Heritage (효율적 목조 문화재 방재관리를 위한 방재설비 데이터베이스구축)

  • Kim, Donghyun;Lee, Ji-hee;Yi, Myungsun
    • Fire Science and Engineering
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    • v.30 no.5
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    • pp.46-53
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    • 2016
  • Wooden cultural heritage is vulnerable to fire, flooding and other hazards. Therefore, an effective disaster prevention and mitigation strategy for them should include preventive measures in a full range of management. These were used to construct a disaster safety system for 508 wooden cultural heritage items by the Cultural Heritage Administration. According to the type of ownership and administration, national and public heritage is controlled by personal management or commissional management. Among them, it is arranged with the safety security institute for important cultural properties. In addition, they have problems of field management with no computerization about the management information for a disaster facility system. Therefore, this study aimed to develop a DB platform that can share information with many users who need to manage cultural heritage. Through a field survey, it is feasible to develop a disaster facility system to provide the information, such as the main data, quantity and location.

Implementation of marine static data collection and DB storage algorithms (해양 정적 데이터 수집 및 DB 저장 알고리즘 구현)

  • Seung-Hwan Choi;Gi-Jo Park;Ki-Sook Chung;Woo-Sug Jung;Kyung-Seok Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.95-101
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    • 2023
  • Globally, the importance of utilization and management of marine spatial information is being maximized, and analyzing such data is emerging as a major driving force for R&D. In Korea, it is expected that collecting marine data from the past to the present and extracting its value will play an important role in the development of science in Korea in the future. In particular, marine static data constitutes a huge big database, and it is necessary to store and store the collected data without loss as high data collection costs and high-level observation techniques are required. In addition, the Disaster Safety Intelligence Convergence Center's "Marine Digital Twin Establishment and Utilization-Based Technology Research" task requires collection and analysis of marine data, so this paper conducts a current status survey of static marine data. And we present a series of algorithms that collect and store them in a database.

Development of Web-GIS based Real-Time Natural Disaster Damage Information Management System (웹GIS를 이용한 실시간 자연재해 피해정보 관리시스템 개발에 관한 연구)

  • Kim, Tae-Hoon;Kim, Kye-Hyun;Shim, Jae-Hyun;Choi, Woo-Jung
    • Journal of Korea Spatial Information System Society
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    • v.10 no.4
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    • pp.103-107
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    • 2008
  • This study mainly focused on the development of real-time based damage investigation system using web-GIS. The study area was Gangseo-Gu in Busan where frequently has relatively higher magnitude of damages from natural disasters. GIS DB was built to provide geospatial data such as 1:1,000 and 1:5,000 topographic maps and IKONOS high resolution satellite data. The web-GIS system has demonstrated the higher contribution for the better response and recovery against any type of natural disasters through real-time communication and data dissemination among government agencies and personnel. However, further researches need to be made to improve system capabilities. In addition, for more effective system operation and maximizing the benefits of exploiting web-GIS system, linkage with national DB such as NDMS is essential.

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Development of Location Based System using Indoor Lenticular Sticker (실내 렌티큘러 스티커를 이용한 위치기반 시스템 개발)

  • Jeong, Seung-Hyuk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.3
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    • pp.601-606
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    • 2019
  • The lenticular Location Based System is related to a location information technology. The system enables users to inform their location in real time wherever in a room, a building, a ship, a basement. In this paper, we analyze limitations and problems of the existing indoor Positioning System and propose a method of user-oriented location service. The proposed method consists of a lenticular sticker, a database(DB) acquisition and analysis technology. The proposed system can be used as an infrastructure to implement various indoor location-based services. In addition to improve user centered positioning accuracy through the development of location-based systems using indoor lenticular systems, it can be used in a disaster situation.

Development of Loss Function for Estimation of Flood Damage Cost in Main Public Facilities - Road·Water and Sewerage Facilities - (주요 공공시설물의 홍수피해액 추정을 위한 손실함수 개발 - 도로 및 상·하수도시설물 -)

  • Hwang, Shin Bum;Kim, Sang Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.49-49
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    • 2021
  • 홍수 발생 시 제내지에 존재하는 도로 및 상·하수도시설물은 저지대를 중심으로 생성되는 침수지역이 아닌 대부분 집중호우, 태풍으로 인해 발생한 유출량이 지표면 유출로 이어져 지면 경사를 따라 유하하면서 흐름을 방해하거나 노후된 시설물 등에서 피해가 발생한다. 이러한 피해발생 특성을 고려하여 홍수피해액을 추정하기에는 침수면적과 시설물 현황 등을 활용하는 기존의 손실 함수 개발 방법으로는 부족한 부분이 존재하며, 유수 흐름의 주요 인자인 침수심, 유속 등과 같은 수리특성을 고려하여 시설물에 대한 홍수피해액을 추정하는 방안이 필요하다. 본 연구에서는 수리특성을 고려한 시설물의 홍수피해액을 추정하기 위한 손실함수를 개발하고자 국가재난정보관리시스템(NDMS) DB에서 해당 시설물의 상세주소를 이용하여 피해 발생위치와 피해액을 파악하였으며, 2차원 수리해석 모형인 FLO-2D를 활용하여 시설물의 피해위치에서 발생된 수리특성 인자인 침수심과 유속을 분석하였다. 시설물의 단위면적 당 피해액을 종속변수로, 분석된 평균 침수심과 평균 유속을 독립변수로 선정한 후 변수 자료들의 신뢰성과 함수의 설명력을 향상시키기 위하여 이상자료들을 제거한 후 손실함수를 개발하였다. 본 연구에서 개발된 손실함수는 수리특성 인자인 침수심과 유속에 의하여 홍수피해액을 직접적으로 추정하는 방법으로 향후 홍수재해에 대한 사전 재산피해 추정을 통하여 합리적인 선제적 예방조치 등의 홍수재해 예방 활동 등에 활용될 수 있을 것으로 기대한다.

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Nuclear Power Plant Severe Accident Diagnosis Using Deep Learning Approach (딥러닝 활용 원전 중대사고 진단)

  • Sung-yeop, Kim;Yun Young, Choi;Soo-Yong, Park;Okyu, Kwon;Hyeong Ki, Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.95-103
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    • 2022
  • Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

A Study on the Construction of Moving Route Information Sharing System of COVID-19 Confirmed Cases

  • Kim, Byungkyu;You, Beom-Jong;Shim, Hyoung-Seop
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.155-163
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    • 2020
  • This study developed a system that can collect, manage, and utilize the travel routes of individuals who tested positive for coronavirus disease 2019 (COVID-19) based on the data standardization and quality management principles and presented the analysis data collected from the existing system. Unlike many other countries in the world, Korea demonstrated a rapid response by conducting epidemiological investigations. Further, the local governments have actively shared the travel routes of individuals who tested positive for COVID-19 to facilitate proactive prevention of the infectious disease per the Infectious Disease Control and Prevention Law. However, currently, there is no standard protocol for the local governments to share the information, thus complicating the process of sharing, managing, and utilizing the collected data. Therefore, this study developed a system that can facilitate sharing of the travel routes of individuals who tested positive for COVID-19 by establishing database construction procedures and using the travel route of COVID-19 patients as per the Disaster & Safety Information Sharing Platform and developing a data processing guideline, a data entry system with default templates, and Open API. Although this sharing system was designed to communicate the travel routes of COVID-19 patients, it can also be utilized in case of other infectious diseases. Therefore, it can be used as a response strategy for future outbreaks of infectious diseases.