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Analyzing the operational performance of the hydrological models in an alpine flood forecasting system

机译:分析高山洪水预报系统中水文模型的运行性能

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During recent years a hybrid model has been set up for the operational forecasting of flood discharges in the 6750km ~2 Tyrolean part of the River Inn catchment in Austria. The catchment can be characterized as a typical alpine area with large variations in altitude. The paper is focused on the error analysis of discharge forecasts of four main tributary catchments simulated with hydrological water balance models. The selected catchments cover an area of 2230km ~2, where the non-glaciated and glaciated parts are modeled using the semi-distributed HQsim and the distributed model SES, respectively.The forecast errors are evaluated as a function of forecast lead time and forecasted discharge magnitude using 14 events from 2007 to 2010. The observed and forecasted precipitation inputs were obtained under operational conditions. The mean relative bias of the forecasted discharges revealed to be constant with regard to the forecast lead time, varying between 0.2 and 0.25 for the different catchments. The errors as a function of the forecasted discharge magnitude showed large errors at lower values of the forecast hydrographs, where errors decreased significantly at larger discharges being relevant in flood forecasting.
机译:近年来,已经建立了一种混合模型,用于对奥地利River Inn流域6750km〜2 Tyrolean部分的洪水流量进行业务预测。集水区可被描述为典型的高山地区,海拔高度变化很大。本文重点研究了用水文水量平衡模型模拟的四个主要支流汇流预测的误差分析。选定的流域面积为2230 km〜2,分别使用半分布式HQsim和分布式模型SES对非冰川和冰川部分建模,并将预测误差作为预测提前期和预测排放量的函数进行评估使用2007年至2010年的14个事件来确定最大降水量。在操作条件下获得了观测和预测的降水输入。预测的排放量的平均相对偏差相对于预测的提前期是恒定的,对于不同的流域,其变化范围在0.2到0.25之间。作为预测流量大小的函数的误差在较低的预测水位图值上显示较大的误差,其中,较大的流量下的误差显着降低,这与洪水预报有关。

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