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Incorporating inflow uncertainty into risk assessment for reservoir operation
Authors:Z X Xu  K Ito  S Liao  L Wang
Institution:(1) AI Research Division, CTI Engineering Co., Ltd., 103 Tokyo, Japan;(2) Department of Hydraulic Engineering, Tsinghua University, 100084 Beijing, The People's Republik of China
Abstract:An attempt of using stochastic hydrologic technique to assess the intrinsic risk of reservoir operation is made in this study. A stochastic simulation model for reservoir operation is developed. The model consists of three components: synthetic generation model for streamflow and sediment sequences, one-dimensional delta deposit model for sediment transport processes in reservoirs, and simulation model for reservoir operation. This kind of integrated simulation model can be used to simulate not only the inflow uncertainty of streamflow and sedimentation, but also the variation in operation rules of reservoirs. It is herein used for the risk assessment of a reservoir, and the simulation is performed for different operation scenarios. Simulation for the 100-year period of sediment transport and deposition in the river-reservoir system indicates that the navigation risk is much higher than that of hydropower generation or sediment deposition in the reservoir. The risk of sediment deposition at the river-section near the backwater profile is also high thereby the navigation at the river-segment near this profile takes high risk because of inadequate navigation depth.
Keywords:Risk  uncertainty  reservoir operation  sedimentation  computer application
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