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

机译:在俄亥俄州流域区域进行洪水频率分析中的均匀性

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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:区域化的方法被广泛应用于水文识别流域的同质群体(地区),以方便在各种应用无资料地区水文气象极端事件的预测。本文评估每个在过去的研究中描绘的是俄亥俄州的地区流域的统计同质性(Koltun,2003; Koltun和Roberts,1990)在回归关系到在农村和无管制的流估计洪水峰值放电。基于L-瞬间均匀性试验结果表明,所有的俄亥俄区域是异类。因此新的一组均匀的区域都在俄亥俄州基于传统和全球模糊聚类分析的程序提出。该地区的增长曲线是每个新形成的区域的开发,它表明,在有效位数的使用结果在俄亥俄流域无资料网站相比,从使用的回归关系,导致正在由用于位数估计时估计美国地质调查局(USGS)。

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