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Impact of uncertainties in discharge determination on the parameter estimation and performance of a hydrological model

机译:流量确定中的不确定性对水文模型参数估计和性能的影响

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Uncertainties in discharge determination may have serious consequences for hydrological modelling and resulting discharge predictions used for flood forecasting, climate change impact assessment and reservoir operation. 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. Six error sources in discharge determination are considered: random measurement errors without autocorrelation; random measurement errors with autocorrelation; systematic relative measurement errors; systematic absolute measurement errors; hysteresis in the discharge-water level relation and effects of an outdated discharge-water level relation. Assuming realistic magnitudes for each error source, results show that systematic errors and an outdated discharge-water level relation have a considerable influence on model performance, while other error sources have a small to negligible effect.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 as well 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 flood forecasting and impact assessment.
机译:流量确定的不确定性可能对水文模型以及用于洪水预报,气候变化影响评估和水库运行的流量预测产生严重后果。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六个误差源:无自相关的随机测量误差;具有自相关的随机测量误差;系统的相对测量误差;系统的绝对测量误差;排水水位关系中的磁滞和过时的排水水位关系的影响。假设每个误差源的实际大小,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很小甚至可以忽略不计。如果对模型性能的影响也很大,则错误对参数的影响也很大,反之亦然。控制水平衡的参数受系统误差的影响,与水文图形形状有关的参数受随机误差的影响。将流量预测用于洪水预报和影响评估时,应考虑流量误差对模型性能和参数的较大影响。

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