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Risks in hydrological modelling due to uncertainties in discharge determination

机译:由于流量确定的不确定性而造成的水文建模风险

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Uncertainties in discharge determination may have serious consequences for hydrological modelling and resulting discharge predictions affecting flood and drought risk assessment and decision making. The aim of this study is to quantify the effect of discharge errors on parameters and performance of a conceptual hydrological model for discharge prediction applied to two catchments. Four error sources in discharge determination are considered: a combination of systematic and random measurement errors without autocorrelation; random measurement errors with autocorrelation; hysteresis in the discharge-water level relation; and effects of an outdated discharge-water level relation. Results show that systematic errors and an outdated discharge-water level relation have a considerable influence on model performance, while other error sources have a small to negligible effect. The effects of errors on parameters are large if the effects on model performance are large, and vice versa. Parameters controlling the water balance are influenced by systematic errors, and parameters related to the shape of the hydrograph are influenced by random errors. Large effects of discharge errors on model performance and parameters should be taken into account when using discharge predictions for risk assessment and decision making.
机译:流量确定的不确定性可能对水文模型和流量预测产生严重影响,从而影响洪水和干旱风险评估和决策。这项研究的目的是量化排放误差对参数和用于两个流域的预测排放的概念性水文模型的性能的影响。在排放确定中考虑了四个误差源:系统误差和随机测量误差的组合,没有自相关;具有自相关的随机测量误差;排放水位关系中的磁滞;和过时的排水水位关系的影响。结果表明,系统误差和过时的排水水位关系对模型性能有相当大的影响,而其他误差源的影响则很小到可以忽略不计。如果对模型性能的影响很大,那么错误对参数的影响就很大,反之亦然。控制水平衡的参数受系统误差的影响,而与水文图形形状有关的参数则受随机误差的影响。当使用排放预测进行风险评估和决策时,应考虑排放误差对模型性能和参数的较大影响。

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