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Mapping large-scale river flow hydraulics in the Amazon Basin

机译:在亚马逊河流域绘制大型河道水力学图

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Research on actual requirements for a numerically consistent representation of flow dynamics in large-scale river-flood models are needed to improve both modeling performance and computational efficiency. Still, regional- and global-scale characterizations of river hydrodynamics are absent. A first attempt to map river hydrodynamics in the Amazon Basin is presented. Flood wave type maps at 0.25° spatial resolution are derived from a classification method based on the analysis of Saint-Venant equation terms. Global river geometry data sets derived from both digital elevation models and empirical equations supported by stream gauge observations are used as input variables. Errors of input variables are estimated, and a sensitivity analysis is performed. Results show that 64.5% of rivers (headwaters and high-slope rivers) can be represented by the kinematic wave (KI), 34.5% (main Amazon tributaries, low slope, and wetland regions) by the diffusive wave (DF), and 1% (lower Amazon) by the full Saint-Venant equations (SV). In a rigorous scenario, i.e., a case where the most restricted classification of each grid cell is considered, ~33% is classified as KI, ~62% as DF, and ~5% as SV. Most of the basin presents subcritical flow with very low Froude number (Fr), while the Andean region is dominated by larger Fr values and supercritical flow can be found. According to our evaluation mostly based on in situ data, the map has a percentage of detection of 83.4%.
机译:为了提高建模性能和计算效率,需要研究在大型河洪水模型中以数值形式表示流动动力学的实际要求。仍然缺乏河流水动力的区域和全球尺度特征。提出了绘制亚马逊河流域河流水动力图的首次尝试。基于Saint-Venant方程项的分析,通过分类方法导出了空间分辨率为0.25°的洪水波类型图。从数字高程模型和由流量表观测支持的经验方程式导出的全球河流几何数据集用作输入变量。估计输入变量的误差,并进行灵敏度分析。结果表明,运动波(KI)可以代表64.5%的河流(上游水源和高坡度河流),扩散波(DF)可以代表34.5%(主要的亚马逊支流,低坡度和湿地地区),1完整的Saint-Venant方程(SV)的百分比(亚马逊以下)。在严格的情况下,即考虑每个网格单元的最严格分类的情况下,约33%被分类为KI,约62%被分类为DF,约5%被分类为SV。盆地的大部分呈现出亚临界流体,其弗洛德数(Fr)极低,而安第斯地区则以较大的Fr值为主,并且可以发现超临界流体。根据我们的评估,该地图主要基于原地数据,其检测百分比为83.4%。

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  • 来源
    《Water resources research 》 |2013年第5期| 2437-2445| 共9页
  • 作者单位

    Hydrological Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA;

    Instituto de Pesquisas Hidraulicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil,Geosciences Environnement Toulouse, UMR 5563, Universite Toulouse Ⅲ Paul Sabatier, Toulouse, France;

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