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Title: A system for generating long streamflow records for study of floods of long return period: Phase 2

Technical Report ·
OSTI ID:6160887

Knowledge of the return periods of large floods is required to make risk analyses for nuclear power plants subject to flooding from rivers. The system reported here combined the stochastic simulation of hourly rainfall data and daily pan evaporation data with the deterministic simulation of streamflow by using the synthetic rainfall and evaporation data as input to a calibrated rainfall runoff model. The sequence of annual maximum flood peaks from a synthetic record of 10,000 years or more was then analyzed to obtain estimates of flood frequency. The reasonableness of the flood frequency results must be evaluated on the degree of mimicry of the key characteristics of the observed rainfall data and the ability of the rainfall-runoff model to mimic the observed flood frequency during the calibration period. On this basis, the flood frequency results appeared to be a reasonable extrapolation of the data used in defining the model parameters. There is a need to develop regional parameters for the stochastic models and to conduct research on the relationship between the stochastic structure of rainfall and stochastic structure of flood frequency. The methodology is applicable, assuming a highly skilled analyst, to watersheds similar to those already tested.

Research Organization:
Nuclear Regulatory Commission, Washington, DC (USA). Div. of Engineering; Linsley, Kraeger Associates Ltd., Los Gatos, CA (USA)
OSTI ID:
6160887
Report Number(s):
NUREG/CR-4496-Vol.2; ON: TI89008575
Country of Publication:
United States
Language:
English