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首页> 外文期刊>Australian journal of water resources >Streamflow data preparation for regional flood frequency analysis: Lessons from southeast Australia
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Streamflow data preparation for regional flood frequency analysis: Lessons from southeast Australia

机译：用于区域洪水频率分析的流量数据准备：澳大利亚东南部的经验教训

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摘要

This paper presents a case study on streamflow data preparation for a regional flood frequency analysis (RFFA) project for the states of Victoria and NSW, in connection with the forthcoming edition of Australian Rainfall and Runoff. The study gathered annual maximum flood series data for a large number of stations from Victoria and NSW, and applied various statistical techniques to prepare the final data set. It was found that a large primary data set, even if selected using a fairly stringent set of criteria, cannot guarantee a similarly large final data set, as streamflow data are affected by many sources of uncertainty. The trade-offs between quality and quantity are discussed and illustrated. The maximum rating ratio, defined as the ratio of the largest estimated flow and the maximum measured flow at a gauging station, is used to identify stations whose quantiles may be seriously affected by rating curve errors. In a case study involving Victorian stations, the importance of maintaining a high spatial coverage of stations was demonstrated. It was shown that a 50% reduction in the number of stations used in a RFFA resulted in an increase of the standard error of prediction of flood quantiles up to 90%.
机译：本文结合即将发布的《澳大利亚降雨与径流》版本，为维多利亚州和新南威尔士州的区域洪水频率分析（RFFA）项目提供了有关流量数据准备的案例研究。该研究收集了来自维多利亚州和新南威尔士州的大量气象站的年度最大洪水序列数据，并应用了各种统计技术来准备最终数据集。已经发现，即使使用相当严格的一组标准来选择大型主数据集，也无法保证具有类似的大型最终数据集，因为流量数据受许多不确定性来源的影响。讨论和说明了质量和数量之间的取舍。最大额定比率定义为测量站处最大估计流量与最大测量流量之比，用于识别其分位数可能会严重受额定曲线误差影响的站点。在涉及维多利亚车站的案例研究中，证明了保持车站高空间覆盖率的重要性。结果表明，RFFA中使用的站数减少了50％，导致洪水分位数的预测标准误差增加了90％。

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