Abstract
To cope with natural disasters and their impact, various types of risk assessment tools have been developed to assess hazards from a scientific point of view as well as the socioeconomic impacts of a hazardous event. Because most of the assessment tools have been developed using local and regional characteristics, there are limitations when applying special cases consisting of various disaster-related datasets in Korea. In this paper, we collected open data scattered among various institutions and guaranteed data interoperability through a standardization process considering various formats. In addition, this study presents a scalable design method and implementation of a database system which can be easily employed in Korean loss estimation due to natural hazards. The proposed database system will be of great help in predicting the disaster scale and degree of damage, in supporting decision-making to minimize damage, and could serve as a data platform of disaster risk reduction and prevention.
Highlights
In this paper, a complex disaster loss assessment database system that allows researchers to search, apply, and share database is presented
This paper focused on the construction of a database system with respect to multi-disaster loss assessment analysis of earthquakes involving floods and fires, and presents a scalable design methodology of a database system considering compatibility, which can serve as a data platform of disaster risk reduction and prevention
We conducted a compatible test of the proposed database system through big data analytics framework, that we developed in a former study [21], supporting distributed and the big data analytics framework, that we developed in a former study [21], supporting distributed parallel processing that allows large volumes of data to be processed in a short time
Summary
A complex disaster loss assessment database system that allows researchers to search, apply, and share database is presented. A previous study focused mainly on the development of Korean building inventory [1]; this paper presents an advanced system architecture design considering system scalability, various functions with specific construction information of the Korean peninsula, and a data management scheme for big disaster data processing. Analyses are conducted based on HAZUS-MH, which is a loss assessment tool of the Federal Emergency Management Agency (FEMA), using a large amount of accumulated actual data, earthquake-related data provided by the tool, and domestic and overseas studies. This paper focused on the construction of a database system with respect to multi-disaster loss assessment analysis of earthquakes involving floods and fires, and presents a scalable design methodology of a database system considering compatibility, which can serve as a data platform of disaster risk reduction and prevention.
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