A Study on the System Implementation of Mega Complex Disaster Damage Evaluation and Estimation Using Disaster Bigdata 


Vol. 44,  No. 7, pp. 1433-1442, Jul.  2019
10.7840/kics.2019.44.7.1433


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  Abstract

This paper describes the system implementation of a mega complex disaster prediction and diffusion in which multiple natural and social disasters are combined. The system of mega complex disaster prediction and diffusion consists of a function of scenario automatic generation, integrated modeling and visualization. Scenario automatic generation uses methods of STEEP, Delphi technique and an analysis of past disaster case. We make the disaster connectivity matrix and the regional characteristic index that meet the domestic situation and this module are automatically generates the scenario. The integrated modeling for mega disaster prediction and diffusion uses the results of individual disaster diffusion forecasts to estimate the range of the mega complex disaster prediction and diffusion and to classify the damage into human, economic, social and environmental damage as defined by Natech. In this paper, we propose a method for estimating the amount of damaged resource based on the remained resource value in order to estimate the complex disaster damage scale. In this paper, integrated modeling results are visualized in 2D form using OpenGIS engine and 3D visualization using V-World which is support by MOLIT(Ministry of Land, Infrastructure and Transport)

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  Cite this article

[IEEE Style]

W. Jung, S. Oh, Y. Lee, "A Study on the System Implementation of Mega Complex Disaster Damage Evaluation and Estimation Using Disaster Bigdata," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 7, pp. 1433-1442, 2019. DOI: 10.7840/kics.2019.44.7.1433.

[ACM Style]

Woo-Sug Jung, Seung-Hee Oh, and Young-Tae Lee. 2019. A Study on the System Implementation of Mega Complex Disaster Damage Evaluation and Estimation Using Disaster Bigdata. The Journal of Korean Institute of Communications and Information Sciences, 44, 7, (2019), 1433-1442. DOI: 10.7840/kics.2019.44.7.1433.

[KICS Style]

Woo-Sug Jung, Seung-Hee Oh, Young-Tae Lee, "A Study on the System Implementation of Mega Complex Disaster Damage Evaluation and Estimation Using Disaster Bigdata," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 7, pp. 1433-1442, 7. 2019. (https://doi.org/10.7840/kics.2019.44.7.1433)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880