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T-NET, a dynamic model for simulating daily stream temperature at the regional scale based on a network topology

机译:T-NET,一种基于网络拓扑在区域尺度上模拟日流温度的动态模型

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摘要

Currently, the distribution areas of aquatic species are studied by using air temperature as a proxy of water temperature, which is not available at a regional scale. To simulate water temperature at a regional scale, a physically based model using the equilibrium temperature concept and including upstream-downstream propagation of the thermal signal is proposed. This model, called Temperature-NETwork (T-NET), is based on a hydrographical network topology and was tested at the Loire basin scale (105 km2). The T-NET model obtained a mean root mean square error of 1.6 °C at a daily time step on the basis of 128 water temperature stations (2008–2012). The model obtained excellent performance at stations located on small and medium rivers (distance from headwater <100 km) that are strongly influenced by headwater conditions (median root mean square error of 1.8 °C). The shading factor and the headwater temperature were the most important variables on the mean simulated temperature, while the river discharge influenced the daily temperature variation and diurnal amplitude. The T-NET model simulates specific events, such as temperature of the Loire during the floods of June 1992 and the thermal regime response of streams during the heatwave of August 2003, much more efficiently than a simple point-scale heat balance model. The T-NET model is very consistent at a regional scale and could easily be transposed to changing forcing conditions and to other catchments. Copyright © 2016 John Wiley & Sons, Ltd.
机译:当前,通过使用气温作为水温的代表来研究水生物种的分布区域,这在区域范围内是不可用的。为了模拟区域范围内的水温,提出了使用平衡温度概念并包括热信号的上游-下游传播的基于物理的模型。该模型称为温度网络(T-NET),基于水文网络拓扑,并在卢瓦尔河流域规模(105 km2)上进行了测试。 T-NET模型在128个水温站(2008-2012年)的基础上,每天的时间步均均方根误差为1.6°C。该模型在受中游水条件(中位数均方根误差为1.8°C)强烈影响的中小河流(距源水<100 km)的站点上获得了出色的性能。遮荫系数和源头水温是模拟平均温度上最重要的变量,而河流流量影响日温度变化和日振幅。 T-NET模型模拟特定事件,例如1992年6月洪水期间卢瓦尔河的温度以及2003年8月热浪期间河流的热态响应,比简单的点规模热平衡模型更有效。 T-NET模型在区域范围内非常一致,可以轻松转换为变化的强迫条件和其他集水区。版权所有©2016 John Wiley&Sons,Ltd.

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