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http://dx.doi.org/10.12652/Ksce.2015.35.3.0579

A Study on the Field Application of Nays2D Model for Evaluation of Riverfront Facility Flood Risk  

Ku, Young Hun (Inje University)
Song, Chang Geun (Incheon National University)
Park, Yong-Sung (University of Dundee)
Kim, Young Do (Inje University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.35, no.3, 2015 , pp. 579-588 More about this Journal
Abstract
Recent climage changes have resulted in increases in rainfall intensity and flood frequency as well as the risk of flood damage due to typhoons during the summer season. Water-friendly facilities such as ecological parks and sports facilities have been established on floodplains of rivers since the river improvement project was implemented and increases in the flood levels of rivers due to typhoons can lead to direct flood damage to such facilities. To analyze the hydraulic influence of these water-friendly facilities on floodplains or to evaluate their stability, numerical analysis should be performed in advance. In addition, it is crucial to address the drying and wetting processes generated by water level fluctuations. This study uses a Nays2D model, which analyzes drying and wetting, to examine its applicability to simple terrain in which such fluctuations occur and to natural rivers in which drying occurs. The results of applying this model to sites of actual typhoon events are compared with values measured at water level observatories. Through this comparison, it is determined that values of coefficient of determination ($R^2$), mean absolute error (MAE), and root-mean-square error (RMSE) are 0.988, 0.208, and 0.239, respectively, thus showing a statistically high correlation. In addition, the results are used to calculate flood risk indices for evaluation of such risk for water-friendly facilities constructed on floodplains.
Keywords
Floodplain; Water-friendly facility; Drying and wetting; Nays2D; Flood risk index;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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