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首页> 外文期刊>International journal of river basin management >Effects of depth-varying vegetation roughness in two-dimensional hydrodynamic modelling
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Effects of depth-varying vegetation roughness in two-dimensional hydrodynamic modelling

机译:二维水动力模型中不同深度植被粗糙度的影响

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摘要

For detailed hydrodynamic modelling of vegetated floodplains, the ability to quantify vegetation is advantageous as vegetation significantly influences the flow mechanism. Although it is widely known that roughness changes with depths, many two-dimensional (2D) models assign constant or generic roughness and the values are typically adjusted for calibration. This practice is likely to lead to the misinterpretation of the flow mechanism. This paper assesses the effects of depth-varying vegetation roughness in 2D hydrodynamic modelling based on vegetation density derived from a remotely sensed regression analysis. The simulated flood extents, depths and velocities of a historical flood event were compared between the constant and depth-varying vegetation roughness coefficients and verified against historical data and literature. A minimum value of 0.03 was found for vegetation with the lowest density of 0.01 m~(-1) at 0.2 m depth and a maximum value of 0.20 for vegetation with the highest density of 0.20 m~(-1) at 2 m flow depth, resulting in the maximum differences in flood depths and velocities of 0.40 m and 0.25 m/s, respectively. This study presented a bridge between the theoretical and practical applications which can potentially be used for evaluating vegetation restoration and removal.
机译:对于植被泛滥平原的详细水动力建模,量化植被的能力是有利的,因为植被会显着影响流动机制。尽管众所周知粗糙度随深度而变化,但是许多二维(2D)模型都指定了恒定或通用粗糙度,并且通常会调整这些值以进行校准。这种做法很可能导致对流动机制的误解。本文基于遥感回归分析得出的植被密度,评估了深度变化的植被粗糙度在二维水动力模型中的作用。比较了历史洪水事件的模拟洪水范围,深度和速度,将恒定和深度变化的植被粗糙度系数进行了比较,并根据历史数据和文献进行了验证。在深度为0.2 m时,最低密度为0.01 m〜(-1)的植被的最小值为0.03;在深度为2 m时,最高密度为0.20 m〜(-1)的植被的最大值为0.20 ,导致洪水深度和速度的最大差异分别为0.40 m和0.25 m / s。这项研究提出了理论和实际应用之间的桥梁,可用于评估植被的恢复和清除。

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