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L-MOMENT RATIO MAPS OF ANNUAL PEAK FLOWS IN TURKISH RIVERS

机译:土耳其河流年峰值流量的L-矩比图

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摘要

This study aims to estimate the probability distribution for peak flows using L-moment ratio maps for a study area without any flow measurements. In flood frequency analysis, the determination of an acceptable design criterion depends mostly on the probability distribution of flood. One of the most common methods for choosing the best-fit probability distribution is the L-moment ratio diagram. Lmoment ratio diagrams use the sample estimates of L-moment ratios and compare them with the theoretical L-moment ratios of certain probability distributions. In this study, L-moment ratios of 319 flowgauging stations are calculated for annual peak flows of Turkish rivers. The peak flow series of 264 gauging stations are used to prepare L-moment ratio maps and, the L-moment ratios of 55 stations are saved for validation. The spatial variability of the L-moment ratios is presented in the L-moment ratio maps. Validation results show that the maps successfully represent the L-moment ratios. With these maps, the drawbacks of using point information in projects are avoided. In a project area with no observations or data, related maps are used to estimate the L-moment ratios, which are then integrated into the L-moment ratio diagrams for determining the best-fit frequency distribution models of peak discharges to provide a robust basis for flood frequency analysis.
机译:本研究旨在使用没有任何流量测量的研究区域的 L 矩比图估计峰值流量的概率分布。在洪水频率分析中,可接受设计准则的确定主要取决于洪水的概率分布。选择最佳拟合概率分布的最常见方法之一是 L 矩比图。L矩比图使用L矩比的样本估计值,并将其与某些概率分布的理论L矩比进行比较。在这项研究中,计算了 319 个流量计站的 L 矩比,以计算土耳其河流的年峰值流量。利用264个测量站的峰值流量系列编制L矩比图,并保存55个站的L矩比进行验证。L矩比的空间变异性在L矩比图中表示。验证结果表明,这些映射成功地表示了L-矩比。通过这些地图,可以避免在项目中使用点信息的缺点。在没有观测或数据的项目区,使用相关地图来估计 L 矩比,然后将其集成到 L 矩比图中,以确定峰值放电的最佳拟合频率分布模型,为洪水频率分析提供可靠的基础。

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