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Uncertainty in river discharge observations: a quantitative analysis

机译:河流流量观测的不确定性:定量分析

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摘要

This study proposes a framework for analysing and quantifying the uncertainty of river flow data. Such uncertainty is often considered to be negligible with respect to other approximations affecting hydrological studies. Actually, given that river discharge data are usually obtained by means of the so-called rating curve method, a number of different sources of error affect the derived observations. These include: errors in measurements of river stage and discharge utilised to parameterise the rating curve, interpolation and extrapolation error of the rating curve, presence of unsteady flow conditions, and seasonal variations of the state of the vegetation (i.e. roughness). This study aims at analysing these sources of uncertainty using an original methodology. The novelty of the proposed framework lies in the estimation of rating curve uncertainty, which is based on hydraulic simulations. These latter are carried out on a reach of the Po River (Italy) by means of a one-dimensional (1-D) hydraulic model code (HEC-RAS). The results of the study show that errors in river flow data are indeed far from negligible.
机译:本研究提出了一个用于分析和量化河流流量数据不确定性的框架。与影响水文研究的其他近似方法相比,这种不确定性通常被认为可以忽略不计。实际上,鉴于河流流量数据通常是通过所谓的额定曲线方法获得的,因此许多不同的误差源都会影响得出的观测值。其中包括:用于参数化等级曲线的河段和流量的测量误差,等级曲线的内插和外推误差,不稳定的流动条件的存在以及植被状态(即粗糙度)的季节性变化。本研究旨在使用原始方法分析这些不确定性来源。所提出的框架的新颖之处在于基于水力模拟的额定曲线不确定性的估计。后者是通过一维(1-D)水力模型代码(HEC-RAS)在波河(意大利)的上游进行的。研究结果表明,河流流量数据中的误差确实可以忽略不计。

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