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Modeling of runoff-producing rainfall hyetographs in Texas using L-moment statistics.

机译:使用L矩统计数据对德克萨斯州产生径流的雨量图进行建模。

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Temporal distributions of storm rainfall are known as hyetographs. Design hyetographs are important for cost-effective risk-mitigated rainfall-runoff modeling. The hyetographs considered are known to produce or generate runoff on small watersheds (typically about 50 square kilometers) in Texas. L-moment statistics and the nonparametric median are used to summarize the dimensionless representations of over 1,600 observed hyetograph distributions. A focus is made on storm depths in excess of about 25 mm and durations of 0–12, 12–24, and 24 hours and greater. Statistical distributions are fit to the L-moments of the dimensionless hyetographs including the newly described L-gamma. L-gamma hyetograph models are anticipated to be reliable predictors of expected hyetographs. Finally, a separate permeability-related L-moment application to the popular Carman-Kozeny equation is described.
机译:暴雨的时间分布被称为读图。设计折线图对于经济有效地降低风险的降雨径流模型很重要。已知所考虑的hyperographs在得克萨斯州的小流域(通常约50平方公里)上产生或产生径流。 L矩统计量和非参数中位数用于总结观察到的1600多个曲线图分布的无量纲表示。重点放在风暴深度超过25毫米,持续时间为0-12、12-24和24小时或更长时间。统计分布适合无量纲绘图仪的L矩,包括新描述的L伽玛。预期L-γ酶标仪模型可作为期望的酶标仪的可靠预测指标。最后,描述了对流行的Carman-Kozeny方程的与渗透率有关的L矩的单独应用。

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