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首页> 外文期刊>Journal of the American Water Resources Association >Development and Evaluation of Bankfull Hydraulic Geometry Relationships for the Physiographic Regions of the United States
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Development and Evaluation of Bankfull Hydraulic Geometry Relationships for the Physiographic Regions of the United States

机译:美国自然地理区域的Bankfull水力几何关系的开发和评估

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摘要

Bankfull hydraulic geometry relationships are used to estimate channel dimensions for streamflow simulation models, which require channel geometry data as input parameters. Often, one nationwide curve is used across the entire United States (U.S.) (e.g., in Soil and Water Assessment Tool), even though studies have shown that the use of regional curves can improve the reliability of predictions considerably. In this study, regional regression equations predicting bankfull width, depth, and cross-sectional area as a function of drainage area are developed for the Physiographic Divisions and Provinces of the U.S. and compared to a nationwide equation. Results show that the regional curves at division level are more reliable than the nationwide curve. Reliability of the curves depends largely on the number of observations per region and how well the sample represents the population. Regional regression equations at province level yield even better results than the division-level models, but because of small sample sizes, the development of meaningful regression models is not possible in some provinces. Results also show that drainage area is a less reliable predictor of bankfull channel dimensions than bankfull discharge. It is likely that the regional curves can be improved using multiple regression models to incorporate additional explanatory variables.
机译:Bankfull水力几何关系用于估计流量模拟模型的通道尺寸,该模型需要通道几何数据作为输入参数。尽管研究表明使用区域曲线可以大大提高预测的可靠性,但整个美国(美国)通常会使用一条全国性曲线(例如,在“土壤和水评估工具”中)。在这项研究中,针对美国的地理分区和省份,开发了预测河岸宽度,深度和截面积随流域面积变化的区域回归方程,并将其与全国方程进行了比较。结果表明,分区级别的区域曲线比全国范围的曲线更可靠。曲线的可靠性在很大程度上取决于每个区域的观察次数以及样本代表种群的程度。省级区域回归方程的结果甚至比部门级模型好,但是由于样本量较小,在某些省份无法开发有意义的回归模型。结果还表明,与堤岸流量相比,流域面积对堤岸通道尺寸的预测不那么可靠。使用多个回归模型合并其他解释变量可能会改善区域曲线。

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