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Flood Risk for Power Plant using the Hydraulic Model and Adaptation Strategy

  • Nguyen, Thanh Tuu (Dept. of Environmental Science and Biotechnology, College of Natural Sciences, Hallym University) ;
  • Kim, Seungdo (Dept. of Environmental Science and Biotechnology, College of Natural Sciences, Hallym University) ;
  • Van, Pham Dang Tri (Dept. of Water Resources, College of Environment and Natural Resources, Can Tho University,) ;
  • Lim, Jeejae (Dept. of Environmental Science and Biotechnology, College of Natural Sciences, Hallym University) ;
  • Yoo, Beomsik (Dept. of Environmental Science and Biotechnology, College of Natural Sciences, Hallym University) ;
  • Kim, Hyeonkyeong (Division of Information and Telecommunications, Hanshin University)
  • Received : 2017.10.16
  • Accepted : 2017.12.02
  • Published : 2017.12.31

Abstract

This paper provides a mathematical approach for estimating flood risks due to the effects of climate change by developing a one dimensional (1D) hydraulic model for the mountainous river reaches located close to the Yeongwol thermal power plant. Input data for the model, including topographical data and river discharges measured every 10 minutes from July $1^{st}$ to September $30^{th}$, 2013, were imported to a 1D hydraulic model. Climate change scenarios were estimated by referencing the climate change adaptation strategies of the government and historical information about the extreme flood event in 2006. The down stream boundary was determined as the friction slope, which is 0.001. The roughness coefficient of the main channels was determined to be 0.036. The results show the effectiveness of the riverbed widening strategy through the six flooding scenarios to reduce flood depth and flow velocity that impact on the power plant. In addition, the impact of upper Namhan River flow is more significant than Dong River.

Keywords

Acknowledgement

Grant : R&D Center for reduction of Non-CO2 Greenhouse gases

Supported by : Korea Ministry of Environment (MOE)