Measure of Utilizing Space Database Information for Improvement of Efficient Disaster Management (Focusing on Nuclear Power Plant Accidents)

Abstract

The damage caused by disasters is increasing worldwide, with hundreds of thousands of deaths due to the occurrence of complex large-scale disasters such as the 2010 Haiti earthquake and the 2004 Indian tsunami. South Korea has also experienced human casualties and damage to property caused by large-scale disasters in the past 10 years. Accordingly, a disaster-appropriate response measure is needed. Thus, we conducted this study to present a measure of utilizing spatial database and image information to improve the efficiency of disaster management that is operated based on the country’s existing national disaster management system. We present an efficient disaster response measure that differs from the existing collection-, reporting-, and propagation-oriented operating methods of disaster information through the use of spatial database and image-based information that can be combined with mandatory information with regard to nuclear power plant accidents. Thus, this study contributes to deriving a system that could collect and provide information rapidly at the time of disaster by defining the attribute and spatial information required at the time of disaster during nuclear power plant accidents and by deriving available systems and providing institutions.

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

“…They compared processing frameworks and established a link between big data and processing frameworks for critical tasks in the disaster management response phase. Bomi et al [19] investigated ways to improve the efficiency of disaster management in South Korea through the use of a spatial database and image information combined with information regarding nuclear power plants. Jessin et al [20] analyzed the use of UAVs as a tool for data acquisition in coastal monitoring on island territories, highlighting the available platforms, sensors, software, and validation methods.…”