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A quantile regression technique to estimate design floods for ungauged catchments in south-east Australia

机译:一种分位数回归技术来估计澳大利亚东南部未集水区的设计洪水

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Design flood estimation in small to medium-sized ungauged catchments is frequently required in hydrological design and is of great economic significance. The currently recommended method in Australian Rainfall and Runoff for south-east Australia is the Probabilistic Rational Method, the central component of which is a runoff coefficient that is assumed to vary smoothly over the geographical space. This paper aims to develop an alternative method of design flood estimation in small to medium-sized ungauged catchments in south-east Australia based on a quantile regression technique. This uses streamflow and catchment characteristics data from 88 catchments in south-east Australia. The developed prediction equations satisfy the underlying model assumptions very well and include hydrologically meaningful predictor variables that are readily obtainable. An independent test indicates that these prediction equations can provide reasonably accurate design flood estimates in the study area for small to medium-sized ungauged catchments.
机译:在水文设计中经常需要对中小型非流域集水区进行设计洪水估算,这对经济意义重大。在澳大利亚东南部的澳大利亚降雨和径流中,当前推荐的方法是概率有理方法,该方法的中心部分是径流系数,假定该系数在地理空间内平稳变化。本文旨在基于分位数回归技术,开发一种替代方法,用于在澳大利亚东南部的中小型非集水区设计洪水估算。它使用了澳大利亚东南部88个流域的流量和流域特征数据。所开发的预测方程式很好地满足了基础模型的假设,并包括易于获得的对水文有意义的预测变量。一项独立的测试表明,这些预测方程式可以为研究区域中小型无水集水区提供合理准确的设计洪水估算。

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