• Title/Summary/Keyword: Diaster Prediction

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A Design of the Social Disasters Safety Platform based on the Structured and Unstructured Data (정형/비정형 데이터 기반 사회재난 안전 플랫폼 설계)

  • Lee, Chang Yeol;Park, Gil Joo;Kim, Junggon;Kim, Taehwan
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.609-621
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    • 2022
  • Purpose: Natural Disaster has well formed framework more than social disaster, because natural disaster is controlled by one department, such as MOIS, but social disaster is distributed. This study is on the design of the integrated service platform for the social diaster data. and then, apply to the local governments. Method: Firstly, we design DB templates for the incident cases considering the incident investigation reports. For the risk management, life-damage oriented social disaster risk assessment is defined. In case of the real-time incident data from NDMS, AI system provides the prediction information in the life damage and the cause of the incident. Result: We design the structured and unstructured incident data management system, and design the integrated social disaster and safety incident management system. Conclusion: The integrated social disaster and safety incident management system may be used in the local governments

The Application of GIS for the Prediction of Landslide-Potential Areas (산사태의 발생가능지 예측을 위한 GIS의 적용)

  • Lee, Jin-Duk;Yeon, Sang-Ho;Kim, Sung-Gil;Lee, Ho-Chan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.1
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    • pp.38-47
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    • 2002
  • This paper demonstrates a regional analysis of landslide occurrence potential by applying geographic information system to the Kumi City selected as a pilot study area. The estimate criteria related to natural and humane environmental factors which affect landslides were first established. A slope map and a aspect map were extracted from DEM, which was generated from the contour layers of digital topographic maps, and a NDVI vegetation map and a land cover map were obtained through satellite image processing. After the spatial database was constructed, indexes of landslide occurrence potential were computed and then a few landslide-potential areas were extracted by an overlay method. It was ascertained that there are high landslide-potential at areas of about 30% incline, aspects including either south or east at least, adjacent to water areas or pointed end of the water system, in or near fault zones, covered with medium vegetable. For more synthetic and accurate analysis, soil data, forest data, underground water level data, meteorological data and so on should be added to the spatial database.

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