%0 Dataset
%T Dataset on the Transmission and Transfer of Flood Risks in the Lower Jinsha River and the Three Gorges Reservoir (2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/edcef5d0-6c13-4549-91d8-bc02c121b8e1
%W NCDC
%A Wang Qianning
%K flood control risk;Risk transfer;cascade reservoirs;lower reaches of the Jinsha River;three Gorges reservoir;Forecast error scenarios;dynamic control of limited water level
%X This dataset is aimed at studying the flood control risk transfer mechanism of the Fourth Reservoir and Three Gorges Cascade System in the lower reaches of the Jinsha River, and collects key hydrologic-dispatch-risk indicator data under the disturbance of forecast error scenarios. The data constructs discrete scenarios based on the forecast error multiples ratio x (-0.9 to 0.9, step size 0.1), and gives the maximum inflow flow, reservoir water level and discharge control indicators under each scenario, as well as the maximum water level/water level standardization indicators of the downstream control section. At the same time, the data compiled the three-level risk thresholds of key objects such as Wudongde, Baihetan, Xiluodu, Xiangjiaba, Three Gorges and Lizhuang, Zhutuo, Cuntan, Zhicheng, Shashi, and Chenglingji, and used to calculate the dimensionless risk indicators back to the actual water level dimension. The data can be used to identify risk transformation thresholds, downstream transfer thresholds and risk redistribution characteristics within the cascade, and provide support for dynamic control of flood limit water levels and evaluation of flood resource utilization plans under risk constraints. The data file is an Excel workbook (*.xlsx) with a total of 3 Sheets, of which Sheet1 contains complete data (Sheet2 and Sheet3 are blank/used for drawing). Sheet1 consists of three parts:1) Forecast error scenarios-Hydrology and dispatch results table (columns A to J, rows 2 to 20):- Error x: prediction error multiple ratio (dimensionless), taking values of-0.9 to 0.9, step size of 0.1; prediction uncertainty/% is 100x.- Maximum incoming flow Q_in,max (m³/s): calculated as Q_in,max = 31648×(1−x)(benchmark flow 31648 m³/s).- Reservoir water level Z_res,max (m): the maximum value of the reservoir water level under the scenario; and the corresponding standardized value Z_res,norm (0~1) is given, which satisfies Z_res = (175−145)×Z_res,norm + 145 with the actual water