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http://dx.doi.org/10.11108/kagis.2018.21.3.076

Real-Time Forecast of Rainfall Impact on Urban Inundation  

KEUM, Ho-Jun (Dept. of Civil, Environmental and Energy Engineering, Kyungpook National University)
KIM, Hyun-Il (Dept. of Civil, Environmental and Energy Engineering, Kyungpook National University)
HAN, Kun-Yeun (Dept. of Civil, Environmental and Energy Engineering, Kyungpook National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.21, no.3, 2018 , pp. 76-92 More about this Journal
Abstract
This study aimed to establish database of rainfall inundation area by rainfall scenarios and conduct a real time prediction for urban flood mitigation. the data leaded model was developed for the mapping of inundated area with rainfall forecast data provided by korea meteorological agency. for the construction of data leaded model, 1d-2d modeling was applied to Gangnam area, where suffered from severe flooding event including september, 2010. 1d-2d analysis result agree with observed in term of flood depth. flood area and flood occurring report which maintained by NDMS(national disaster management system). The fitness ratio of the NDMS reporting point and 2D flood analysis results was revealed to be 69.5%. Flood forecast chart was created using pre-flooding database. It was analyzed to have 70.3% of fitness in case of flood forecast chart of 70mm, and 72.0% in case of 80mm flood forecast chart. Using the constructed pre-flood area database, it is possible to present flood forecast chart information with rainfall forecast, and it can be used to secure the leading time during flood predictions and warning.
Keywords
Urban Flood; Flood Warning Services; SWMM; Forecast of Inundation Map;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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