EGU2020-2116, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-2116
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research on dam inflow analysis based on radar rainfall data

Gian Choi1, Hongjoon Shin2, and Seongsim Yoon3
Gian Choi et al.
  • 1Korea Institute Civil engineering and building Technology, Goyang-si, Korea, Republic of (gianchoi@kict.re.kr)
  • 2Cetral Research Institute, Korea-Hydro&Nuclear Power, Daejeon, Koera, Republic of (h.j.shin@khnp.co.kr)
  • 3Korea Institute Civil engineering and building Technology, Goyang-si, Korea, Republic of (ssyoon@kict.re.kr)

Estimation of dam inflow using rainfall needs for efficient and timely operation of dam. Accuracy rainfall data is important to estimate dam inflow. Currently, rainfall pattern has volatile temporal and spatial distribution. Dam inflow based on rainfall gauged data is inadequate for operating hydroelectric dam. Radar rainfall has been used as an alternative because radar data provides spatially distributed rainfall. In this study, we estimated inflow discharge for hydroelectric dam using both radar and rain gauged data to find a case to improve the accuracy. Hydrological modeling have been adopted to estimate inflow and based on rainfall data collected from 2018 to 2019.

This work was supported by KOREA HYDRO & NUCLEAR POWER CO., LTD(No. 2018-Tech-20)

How to cite: Choi, G., Shin, H., and Yoon, S.: Research on dam inflow analysis based on radar rainfall data , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2116, https://doi.org/10.5194/egusphere-egu2020-2116, 2020

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