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A Relook at Ohio Watershed Regions For Homogeneity in Flood Frequency Analysis

机译:洪水频率分析中俄亥俄州流域区域的均一性研究

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Regionalization approaches are widely used in hydrology to identify homogeneous groups (regions) of watersheds to facilitate prediction of hydro-meteorological extreme events in ungauged basins for various applications. This paper evaluates statistical homogeneity of watersheds in each of the regions of Ohio that were delineated in the past studies (Koltun, 2003; Koltun and Roberts, 1990) to arrive at regression relationships for estimating flood-peak discharges at rural and unregulated streams. Results based on L-moment homogeneity tests indicated that all the Ohio regions are heterogeneous. Consequently a new set of homogeneous regions are proposed in Ohio based on conventional and global fuzzy cluster analysis procedures. Regional growth curves are developed for each of the newly formed regions and it is shown that their use results in effective quantile estimates at ungauged sites in watersheds of Ohio when compared to those resulting from the use of regression relationships that are being used for quantile estimation by United States Geological Survey (USGS).
机译:区域化方法在水文学中被广泛使用,以识别流域的均质组(区域),以促进对未应用盆地中水文气象极端事件的预测,以用于各种应用。本文评估了过去研究(Koltun,2003年; Koltun和Roberts,1990年)中划定的俄亥俄每个地区的流域统计同质性,从而得出回归关系以估算农村和非管制河流的洪峰流量。基于L矩均一性测试的结果表明,所有俄亥俄州地区都是异质的。因此,基于常规和全局模糊聚类分析程序,在俄亥俄州提出了一组新的同质区域。针对每个新形成的区域绘制了区域增长曲线,与使用回归关系进行分位数估计所得到的结果相比,使用曲线可以在俄亥俄流域的未开垦地点获得有效的分位数估计。美国地质调查局(USGS)。

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