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A physically based description of floodplain inundation dynamics in a global river routing model

机译:全球河道模型中基于洪泛区淹没动力学的物理描述

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摘要

Current global river routing models do not represent floodplain inundation dynamics realistically because the storage and movement of surface waters are regulated by small-scale topography rather than the commonly used spatial resolution of global models. In this study, we propose a new global river routing model, CaMa-Flood, which explicitly parameterizes the subgrid-scale topography of a floodplain, thus describing floodplain inundation dynamics. The relationship between water storage, water level, and flooded area in the model is decided on the basis of the subgrid-scale topographic parameters based on 1 km resolution digital elevation model. Horizontal water transport is calculated with a diffusive wave equation, which realizes the backwater effect in flat river basins. A set of global-scale river flow simulations demonstrated an improved predictability of daily-scale river discharge in many major world rivers by incorporating the floodplain inundation dynamics. Detailed analysis of the simulated results for the Amazon River suggested that introduction of the diffusive wave equation is essential for simulating water surface elevation realistically. The simulated spatiotemporal variation of the flooded area in the Amazon basin showed a good correlation with satellite observations, especially when the backwater effect was considered. The improved predictability for daily river discharge, water surface elevation, and inundated areas by the proposed model will promote climate system studies and water resource assessments.
机译:当前的全球河流路由模型实际上不能代表洪泛区的淹没动态,因为地表水的存储和移动是由小规模地形而不是全局模型的常用空间分辨率来调节的。在这项研究中,我们提出了一个新的全球河道模型CaMa-Flood,该模型明确参数化了洪泛区的亚网格规模地形,从而描述了洪泛区的淹没动态。该模型中的储水量,水位和洪水面积之间的关系是基于基于1 km分辨率数字高程模型的亚网格规模地形参数确定的。利用扩散波方程计算水平水的运输量,实现了平坦流域的回水效应。一组全球规模的河流流量模拟结果表明,通过结合洪泛区淹没动力学,可以改善许多主要世界河流中日尺度河流流量的可预测性。对亚马逊河模拟结果的详细分析表明,引入扩散波方程对于现实地模拟水面高程至关重要。亚马逊河流域洪泛区的模拟时空变化与卫星观测结果具有良好的相关性,尤其是考虑到回水效应时。所提出的模型提高了每日河流流量,水面高度和淹没区域的可预测性,将促进气候系统研究和水资源评估。

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  • 来源
    《Water resources research》 |2011年第4期|p.W04501.1-W04501.21|共21页
  • 作者单位

    Institute of Industrial Science, University of Tokyo, Tokyo, Japan;

    Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan;

    UC Center for Hydrologic Modeling, University of California,Irvine, California, USA Also at Institute of Industrial Science, University of Tokyo, Tokyo,Japan;

    Institute of Industrial Science, University of Tokyo, Tokyo, Japan;

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