Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
Title Estimation of flood flow and inundation range of the Aprokgang(Riv.) in 2024 using satellite precipitation and global topographic data
Authors 김주훈(Kim. Joo-hun);최윤석(Choi, Yun-seok)
DOI https://doi.org/10.12652/Ksce.2025.45.4.0459
Page pp.459-468
ISSN 10156348
Keywords 위성강수; 압록강; GSMaP; AW3D30; GRM; G2D Satellite precipitation; Aprokgang(Riv.); GSMaP; AW3D30; GRM; G2D
Abstract The purpose of this study was to estimate the flood volume and inundation extent in the Sinuiju-Si that occured in July 2024 using satellite-derived precipitation data and global terrain data. The precipitation data for flood volume analysis used JAXA's GSMaP data, and the terrain data for inundation extent analysis used JAXA's AW3D30 DSM data. The tools for flood discharge analysis and inundation analysis used GRM and G2D models, respectively. The satellite-derived precipitation data can be effectively used in areas such as North Korea where it is difficult to collect measured data and the data's spatiotemporal resolution is low. As a result of the flood
volume simulation, the peak flow downstream of Taepyeong Dam was 92,574.5 ㎥/s, and the occurrence time was analyzed as 22:00 on July 28. As a result of the simulation using the G2D model, the maximum inundation extent was analyzed as 05:00 on July 29. It is estimated that approximately 67 % of the area of Sinuiju-Si was flooded. In particular, it can be confirmed that most of the flood was concentrated in the Sinuiju-Si area of North Korea, which was due to the topographical differences between Sinuiju-Si in North Korea and Dandong in China. In flood simulation of this study, the accuracy of DEM/DSM has a great influence on the accuracy of the simulation results, but through flood simulation, similar results were obtained in terms of flood depth and flood range as reported in the media at the time of the flood, and the changes in flood depth and flood time in the Sinuiju-Si area could be quantitatively analyzed. The method applied in this study can be usefully utilized to quantitatively evaluate the flood scale in unmeasured areas in the future.