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Accuracy of Hourly Water Temperatures in Rivers Calculated from Air Temperatures

机译:根据气温计算的河流每小时水温精度

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Water temperature is a critical variable for water quality control and management. The primary objective of this paper was to develop and compare simple methods to estimate hourly water temperatures in rivers. The wave function (WF) model, originally used to calculate hourly air temperature, was modified and applied to eight Alabama rivers. The results show significant improvement by using the modified WF model instead of direct linear and non-linear (polynomial and logistic) regression models with time lags (4–5 h). The average Nash–Sutcliffe coefficient (NS) used to evaluate model accuracy for the eight rivers improved from 0.71 for the linear model to 0.89 for the modified WF model with NS for most rivers exceeding 0.90. A lumped modified WF model was also developed by combining water temperature data for all eight rivers and can be applied for rivers in Alabama when no observed water temperatures are available to develop a site-specific WF model. The procedure to develop a modified WF model can be applied to other regions.
机译:水温是水质控制和管理的关键变量。本文的主要目的是开发和比较简单的方法来估算河流每小时的水温。最初用于计算每小时气温的波动函数(WF)模型已修改并应用于八条阿拉巴马河。结果表明,使用改进的WF模型代替具有时间滞后(4-5 h)的直接线性和非线性(多项式和逻辑)回归模型,可以显着改善。用于评估八条河流的模型准确性的平均纳什-舒克利夫系数(NS)从线性模型的0.71提高到修改后的WF模型的0.89,NS的大多数河流超过0.90。还通过结合所有八条河流的水温数据开发了集总改进的WF模型,当没有观测到的水温可用于开发特定地点的WF模型时,可将其应用于阿拉巴马州的河流。开发改进的WF模型的过程可以应用于其他区域。

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