• Title/Summary/Keyword: 재해대응

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Analysis and Improvement for Manual to Protect Mountain Disaster in Urban Area (도심지 토사재해 예방을 위한 기존 매뉴얼 분석과 개선 방안)

  • Song, Byungwoong;Baek, Woohyun;Yoon, Junghwan;Sim, Oubae
    • Journal of the Korean GEO-environmental Society
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    • v.16 no.7
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    • pp.43-53
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    • 2015
  • More than 70 percent of the Korean territory consists of mountain area so development of mountain district is essential to urbanize continuously. Thus, technological developments for risk factors and standards and manuals must be needed to prevent mountain disaster. Risk Management Manual should be made and operated in government legislation related to national disaster, but there is still no Emergency Management Standard Manual and Emergency Response-Practical Manual to prevent mountain disaster. This study suggests the improvement plans that are legislated but not established cleary in the field of disaster in urban area. The main items are like as 1) adaptable standard and practical manual to prevent mountain disaster in urban area, 2) reinforcement between managing department and interagency vertically and horizontally in central and local government organization, 3) Personal SOP (Standard Operating Procedure) not EOP (Emergency Operation Plan), 4) considering 13 items selected by Ministry of Public Safety and Security, 5) schematization with personal action plan, 6) check list to do in the event of mountain disaster, and 7) regular practice per quarter.

Development of Predicting Function for Wind Wave Damage based on Disaster Statistics: Focused on East Sea and Jeju Island (재해통계기반 풍랑피해액예측함수 개발 : 동해안, 제주를 중심으로)

  • Choo, Tai-Ho;Kwon, Jae-Wook;Yun, Gwan-Seon;Yang, Da-Un;Kwak, Kil-Sin
    • Journal of the Korean Society for Environmental Technology
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    • v.18 no.2
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    • pp.165-172
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    • 2017
  • In current stage, it is hard to predict the scale of damage caused by natural disaster and it is hard to deal with it. However, in case of disaster planning level, if it is possible to predict the scale of disaster then quick reaction can be done which will reduce the damage. In the present study, therefore, function of wind wave damage estimation among various disaster is developed. Damage of wind wave and typhoon in eastern and Jeju coastal zone was collected from disaster report (1991~2014) published by Ministry of Public Safety and Security and to reflect inflation rate, 2014 damage cost was converted. Also, wave height, wind speed, wave direction, wave period, etc was collected from Meteorological Administration and Korea Hydrographic and Oceanographic Administration web site. To reflect the characteristic of coastal zone when wave damage occurs, CODI(Coastal Disaster Index), COSI(Coastal Sensitivity Index), CPII(Coastal Potential Impact Index) published by Korea Hydrographic and Oceanographic Agency in 2015 were used. When damage occurs, function predicting wind wave damage was developed through weather condition, regional characteristic index and correlation of damage cost.

A Development Direction of Infrastructure Based Disaster Mitigation & Management Integrated System (SOC 시설물 재난대응 및 관리시스템 개발방향)

  • Park, Suyeul;Oh, Eunho;Choi, Bonghyuck;Kim, Jinman
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.3
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    • pp.134-142
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    • 2016
  • Main infrastructures, such as levee, dam, bridge, road, etc., are very important due to not only the means of support for social and industrial activities in normal situation but also the means of protection of life and property during disaster occurrence. In spite of this importance of infrastructures, however, any disaster management systems that actively use these infrastructures are not developed yet. Moreover, infrastructures are not usually included in emergency action plans, thus it occurs second and third impact on communities and industries due to collapsing or damage of infrastructures. Therefore, the authors in this paper analyzed previous research, SWOT, STEEP, and patents and technical journals and conducted a technology need survey ni order to understand the trend of disaster management system as well as suggest main research fields and detail research items. The results of this paper will be a foundation of developing an advanced infrastructure integrated system of maintenance and disaster mitigation and contribute our nation to have an active response system by using infrastructure.

Analysis on Complex Disaster Information Contents for Building Disaster Map of Coastal Cities (연안도시 재해지도 작성을 위한 복합재해정보 콘텐츠 분석)

  • KIM, Jung-Ok;KIM, Ji-Young;LEE, Won-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.43-60
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    • 2016
  • Coastal cities need disaster planning that accounts for the complex causes of environmental disasters such as high tides or tsunamis generated by typhoons, and of river or lowland flooding caused by heavy rains, etc. The elements of the disaster map were initially defined using a Geographic Information System (GIS) to allow for efficient information management. Complex disaster information elements were thus established in this study to create a disaster map of coastal cities. The range of information required for coastal cities includes the type of disaster, evacuation methods, available sheltering facilities, and learning content. These informational elements are intended to build on spatial information based on data available from the Ministry of Public Safety and Security as well as local governments.

Demands of R&D for Preventing Disaster & Safety Accidents (재난·재해 및 안전사고 기술개발 수요조사 연구)

  • Yoon, Jonghyun;Lee, Yongbae
    • Journal of the Society of Disaster Information
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    • v.11 no.4
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    • pp.467-474
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    • 2015
  • This study is about the demand survey of R&D for preventing disaster and safety accidents. The results are as follows. First, the priorities of technology development is shown in the following order: natural disasters, human and social disaster, and safety accidents. Second, the amount of R&D investment is shown in the following order in respect of disaster management phase: prevention, preparedness, response and recovery. However, investment in the recovery phase was low. Third, it was concentrated on some types the demands of technological development in the public sector. There is a possibility of duplication of technology development in government investment. Suggest that interagency cooperation is required.

Design of Decision Support System Algorism for Smart Agricultural Water Information Service (지능형 농촌용수 정보서비스의 의사결정지원 알고리즘 설계)

  • Kim, Sun Joo;Kwon, Hyung Joong;Kim, Phil Shik;Kang, Seok Man
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.581-581
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    • 2016
  • 물 정보의 대부분은 자연현상과 관련되는 것으로 지속적인 관측과 조사를 통하여 획득된 자료에 의존하며, 최근 정보통신의 발달과 함께 다양한 수문자료를 실시간으로 입수하는 것이 가능하게 되었다. 이와 같은 다양한 수집정보를 필요로 하는 사람들이 정보를 쉽게 입수 할 수 있도록 기술적 지원이 필요하고 국가는 이를 충족시킬 수 있는 정보 서비스 체계를 구축해야 한다. 하지만, 물 관련 정보시스템은 물 정보를 종합적으로 제공하기 보다는 일부 한정된 자료를 대상으로 하고 있고, 표준 체계도 갖추지 못하고 있지 못해 이용하기가 불편하고 정보로서의 가치도 떨어지고 있는 실정이다. 특히, 국내 홍수 및 가뭄재해 정보 제공 시스템은 정보 전달체계가 복잡하고, 각 시스템의 연계성이 부족하여 중복적인 자료를 제공하거나 자료들이 분산되어 있으며, 최신자료의 업데이트가 되지 않아 실질적인 효용성이 떨어지는 시스템이 대부분인 것으로 확인되었다. 또한 재해에 대한 예측 및 대응방안 등 신속한 의사결정 시스템은 현재까지 제공되고 있지 않다. 따라서 홍수 및 가뭄재해에 대한 일원화된 통합 시스템이 요구되며, 재해예방 및 신속한 대처를 위한 의사결정 시스템의 도입이 시급한 실정이다. 이에 본 연구에서는 농촌용수 재해정보서비스의 방향을 정립하고, 의사결정지원 알고리즘 설계를 위한 알고리즘 및 시스템 적용을 위한 예측 평가 기법을 조사하고 분석하여 제시하였다. 본 경구 결과 국토교통부와 기상청의 제공자료를 기초자료로 농림축산식품부의 제공정보를 수정 보완하여 사용할 경우 GIS 기반으로 해정구역 단위, 용수구역 단위로 재해현황 자료 및 전망자료를 제공 할 수 있을 것으로 판단된다.

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Application of AI technology for various disaster analysis (다양한 재해분석을 위한 AI 기술적용 사례 소개)

  • Giha Lee;Xuan-Hien Le;Van-Giang Nguyen;Van-Linh Ngyen;Sungho Jung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.97-97
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    • 2023
  • 최근 재해분야에서 인공신경망(ANN), 기계학습(ML), 딥러닝(DL) 등 AI 기술이 활용성이 점차 증가하고 있으며, 센싱정보와 연계한 시설물 안전관리, 원격탐사와 연계한 재해감시(녹조, 산사태, 산불 등), 수문시계열(수위, 유량 등) 예측, 레이더·위성강수 자료의 보정과 예측, 상하수도 관망누수예측 등 다양한 분야에서 AI 기술이 적용되고 그 활용성이 검증된 바 있다. 본 연구에서는 ML, DL, 물리기반신경망(Pysics-informed Neural Networks, PINNs)을 이용한 다양한 재해분석 사례를 소개하고, 그 활용성과 한계에 대해서 논의하고자 한다. 주요사례로는 (1) SAR영상과 기계학습을 이용한 재해피해지역(울진 산불) 감지, (2) 국가 디지털 정보를 이용한 산사태 위험지역 판별(인제 산사태) (3) 기계학습 및 딥러닝 기법을 이용한 위성강수 자료의 보정·예측 및 유출해석, (4) 수리해석을 위한 수치해석분야에서의 PINNs의 적용성(1차원 Saint-Venant 식 해석) 평가 연구결과를 공유한다. 특히, 자료의 입·출력 자료만으로 학습된 인공신경망 모형 대신 지배방정식(물리방정식)을 만족하도록 강제한 PINNs의 경우, 인공신경망 모형보다 우수한 모의능력을 보여주었으며, 향후 복잡한 수리모델링 등 수치해석분야에서 그 활용가능성이 매우 높을 것으로 판단된다.

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