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http://dx.doi.org/10.11108/kagis.2018.21.1.012

Analysis of Disaster Vulnerable Districts using Heavy Rainfall Vulnerability Index  

PARK, Jong-Young (Dept. of Hydrological Engineering, Sambo Engineering Co.,Ltd.)
LEE, Jung-Sik (Dept. of Civil Engineering, Kumoh National Institute of Technology)
LEE, Jin-Deok (Dept. of Civil Engineering, Kumoh National Institute of Technology)
LEE, Won-Woo (Dept. of Hydrological Engineering, Chungwoo Engineering Co.,Ltd.)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.21, no.1, 2018 , pp. 12-22 More about this Journal
Abstract
In order to improve the vulnerability of current cities due to climate change, the disaster vulnerability analysis manual for various disasters is provided. Depending on the spatial units, the disaster vulnerability levels, and the conditions of the climatic factors, the results of the disaster vulnerability analysis will have a significant impact. In this study, relative assessments are conducted by adding the eup, myeon and dong unit in addition to census output area unit to analyze the impact on the spatial unit, and relative changes are analyzed according to the classification stages by expanding the natural classification, which is standardized at level four stage, to level two, four and six stage. The maximum rainfalls(10min, 60min, 24hr) are added for the two limited rainfall characteristics to determine the relativity of disaster vulnerable districts by index. The relative assessment results of heavy rainfall vulnerability index showed that the area ratio of disaster areas by spatial unit was different and the correlation analysis showed that the space analysis between the eup, myeon and dong unit in addition to census output area unit was not consistent. And it can be seen that the proportion of disaster vulnerable districts is relatively different a lot due to indexes of rainfall characteristics, spatial unit analysis and disaster vulnerability level stage. Based on the above results, it can be seen that the ratios of disaster vulnerable districts differ relatively significantly due to the level of the disaster vulnerability class, and the indexes of rainfall characteristics. This suggests that the impact of the disaster vulnerable districts depending on indexes is relatively large, and more detailed indexes should be selected when setting up the disaster vulnerabilities analysis index.
Keywords
Climate Change; Vulnerability Analysis Index; Spatial Unit Analysis; Heavy Rainfall;
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