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http://dx.doi.org/10.11108/kagis.2020.23.1.051

Inundation Analysis on the Flood Plain in Ungauged Area Using Satellite Rainfall and Global Geographic Data: In the case of Tumen/Namyang Area in Duman-gang(Riv.)  

CHOI, Yun-Seok (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
KIM, Joo-Hun (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
KIM, Ji-Sung (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.1, 2020 , pp. 51-64 More about this Journal
Abstract
The purpose of this study is to present a method for quantitative analysis of flooding at the flood plain in an ungauged area using satellite rainfall and global geographic data. For this, flooding of the Tumen/Namyang area in the Duman-gang(Riv.) was simulated and the flood conditions were quantitatively analyzed. The IMERG data, a rainfall data derived from satellite images, was used as rainfall data. The GRM model was applied to the watershed runoff simulation, and the G2D model was applied to the flooding simulation of the Tumen/Namyang area. Flood event caused by Typhoon Lionrock in August 2016 was applied. Recorded peak discharge of the Tumen/Namyang region was used to verify the runoff simulation results. To verify the result of the inundation simulation, the flood situation collected through field survey and satellite image data before and after the flood were used. The peak flow rates by the runoff simulation and flood record were 7,639㎥/s and 7,630㎥/s, respectively, with a relative error of about 0.1%. In the flood simulation, the results were similar to the flooding ranges identified in the survey data and satellite images. And the changes of flooding depth and flooding time in the flood plain in Tumen/Namyang area could also be assessed. The methods and results of this study will be useful for the quantitative assessment of floods in the ungauged areas.
Keywords
Satellite Rainfall; Global Geographic Data; Flood; Duman-gang(Riv.);
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