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http://dx.doi.org/10.3741/JKWRA.2017.50.6.397

Application of multi-dimensional flood damage analysis in urban area  

Tak, Yong Hun (Department of Environmental Engineering, Inje University)
Kim, Young Do (Department of Environmental Engineering (Nakdong River Environmental Research Center), Inje University)
Kang, Boosik (Department of Civil and Environmental Engineering, Dankook University)
Park, Mun Hyun (Department of Environment Water Resource, Dongbu Engineering)
Publication Information
Journal of Korea Water Resources Association / v.50, no.6, 2017 , pp. 397-405 More about this Journal
Abstract
In case of inundation in a city where populations and properties are highly concentrated, unlike rural areas it is necessary to apply the method of calculating the damage amount considering the sewage overflow and the corresponding building damage. In this study, Dorim 1 drainage sector has been analyzed with Multi-Dimensional Flood Damage Assessment (MD-FDA) for flood forecast. It is analyzed with past flood history through the SWMM model and calculated the amount of damage with district base data and the result of flow analysis. The result of the SWMM model to predict a range of flood, it was shown that the wide area after 4 hours (at 16:30) by sewer overflow. The building damage was estimated using MD-FDA. As a result, the maximum flood area has shown as $205,955m^2$ (0~0.5 m: $205,190m^2$, over 0.5 m: $865m^2$) and estimated building damage of Dorim 1 drainage sector is approximately 15.5 billion KRW (Korean won) and other contents is 7 billion KRW (Korean won). Also from 0 to 0.5 m depth estimated damage is approximately 22.4 billion KRW (Korean won) and over 0.5 m is 100 million KRW (Korean won). Based on the results of this study, it would be necessary to estimate the amount of sub-divided flood damage in urban areas according to various damage patterns such as flood depth and flood time.
Keywords
SWMM; Flood damage; Building damage; Multy-Dimensional Flood Damage Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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