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Regional flood-rainfall duration-frequency modeling at small ungaged sites

机译:小型无灌区区域洪水持续时间-频率模型

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摘要

Flood frequency data for different durations of floods are required in many practical hydrologic applications. The estimation of flood frequency as an integrated function of return period and flood duration can be accomplished by flood-duration-frequency modeling. This study introduces a new approach to regional flood-duration-frequency modeling that is based on statistical properties of combined flood-rainfall events. The approach integrates flood-duration-frequency (QDF) and rainfall. depth-duration-frequency (DDF) models into one regional. flood-rainfall duration-frequency model (QDDF). The proposed model has only one local parameter, which accounts for site-specific physiographic characteristics. Regional parameters of the model are determined from statistical properties of regional rainfall depth-duration-frequency curves. The main advantage of the proposed approach is that it relies on rainfall data, which are spatially and temporally more abundant than streamflow data, and usually also available in hydrologically ungaged areas. The regional QDDF model was applied to a set of small. catchments from a hydro-climatologically homogeneous region in south-western Ontario Canada. The performance of the model was compared to the performance of the conventional regional converging QDF model by means of a jack-knife procedure. The results showed that the proposed approach significantly outperformed the converging QDF model, leading to quantile estimates with three-times lower average BIAS and RMSE. The proposed QDDF model seems to be a promising alternative for the regional QDF modeling of floods in the study area. (c) 2007 Elsevier B.V. All rights reserved.
机译:在许多实际的水文应用中,需要不同洪水持续时间的洪水频率数据。通过洪水持续时间-频率模型可以完成洪水频率估算,作为返回期和洪水持续时间的综合函数。这项研究引入了一种新的区域洪水持续时间-频率模拟方法,该方法基于组合的洪水-降雨事件的统计特性。该方法整合了洪水持续时间频率(QDF)和降雨。深度持续时间频率(DDF)模型合并为一个区域。洪水持续时间-频率模型(QDDF)。提出的模型只有一个局部参数,该参数说明了特定地点的生理特征。该模型的区域参数是根据区域降雨深度-持续时间-频率曲线的统计特性确定的。所提出的方法的主要优点是,它依赖于降雨数据,该数据在空间和时间上都比河流流量数据丰富,并且通常在水文未覆盖地区也可以使用。区域QDDF模型应用于一组小型模型。来自加拿大安大略省西南部一个水文气候均匀的流域。通过千斤顶程序将模型的性能与常规区域收敛QDF模型的性能进行了比较。结果表明,所提出的方法明显优于收敛的QDF模型,从而导致分位数估计,其平均BIAS和RMSE降低了三倍。拟议的QDDF模型似乎是研究区域洪水的区域QDF建模的有希望的替代方法。 (c)2007 Elsevier B.V.保留所有权利。

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