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Peak flow estimation under parameter uncertainty in a real-time flood warning system for ungauged basins

机译:未凝固盆地实时洪水预警系统中参数不确定性下的峰值流量估计

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An operational flood forecasting system designed to produce peak flow predictions at multiple ungauged sites is described. The system is based on the ensemble approach and uses a simple conceptual rainfall-runoff model. This paper accounts only for parameter uncertainty; to this end, parameter sampling distributions with Monte Carlo generated simulations are related to basin geomorphic characteristics and event antecedent moisture conditions. Application to four gauged sites exhibited satisfactory system performance in terms of reproducing observed peak flows Further assessment evaluated the system's forecasting skill with a back-analysis performed on 40 ungauged basins over the period 2002-2005,, Results showed that the system yielded a reasonable number of warnings and that all the selected floods events, characterized by high documented social impacts, were successfully detected.
机译:描述了一种设计用于在多个未凝固地点产生峰值流预测的操作洪水预测系统。该系统基于集合方法,并使用简单的概念降雨 - 径流模型。本文仅适用于参数不确定性;为此,具有蒙特卡罗生成模拟的参数采样分布与盆地地貌特征和事件前一种湿度条件有关。在4个测量位置的应用在再现观察到的峰值流动方面表现出令人满意的系统性能进一步评估评估了系统的预测技能,在2002 - 2005年期间对40个未凝固的盆地进行了后分析,结果表明该系统产生了合理的数量警告和所有选定的洪水事件,以高记录的社会影响为特征,被成功地检测到。

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