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首页> 外文期刊>River research and applications >Hydraulically Related Hydro-morphological Units: Description Based On A New Conceptual Mesohabitat Evaluation Model (mem) Using Lidar Data As Geometric Input
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Hydraulically Related Hydro-morphological Units: Description Based On A New Conceptual Mesohabitat Evaluation Model (mem) Using Lidar Data As Geometric Input

机译:水力相关的水文形态单元:基于新的概念上中生度评估模型(mem)的描述,该模型使用激光雷达数据作为几何输入

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摘要

A new conceptual mesohabitat evaluation model was developed and applied to the Kamp River, Austria. The model uses a functional linkage of three parameters (velocity, depth and bottom shear stress) to distinguish six different mesohabitat types (riffle, fast run, run, pool, backwater and shallow water) based on two-dimensional depth-averaged hydrodynamic-numerical modelling. The results clearly revealed the variety and change of mesohabitat-units under various flow conditions (3.6-89 m~3s~(-1)). In particular for low-energy habitats, a shift from shallow- to backwater habitats was recognized at increasing discharges. Fast runs featured a larger percentage of the total wetted area (9-33%) as discharges increased, whereas pool habitats showed low variability (means of around 15%). A velocity-depth-bottom shear stress relationship (VDSR) was most suitable to differentiate between mesohabitat patterns; this relationship was compared with Froude numbers and with velocity-depth ratios using ANOVA statistical analysis. This study also documented that the accuracy of river geometry plays a decisive role in habitat descriptions. Different height tolerances for the computation mesh (0.2 m, 0.5 m, 1 m accuracy) based on LiDAR significantly reduced important mesohabitats.
机译:开发了一种新的概念中生境评价模型,并将其应用于奥地利的坎普河。该模型基于二维深度平均水动力数值,使用三个参数(速度,深度和底部切应力)的函数链接来区分六种不同的中生类型(浅滩,快流,奔跑,水池,回水和浅水)。造型。结果清楚地揭示了在各种流动条件下(3.6-89 m〜3s〜(-1))中生境单元的多样性和变化。特别是对于低能生境,随着排放量的增加,人们认识到了从浅水生境向回水生境的转变。随着流量的增加,快速运行占总湿润面积的比例较大(9-33%),而水池栖息地的变异性较低(均值约为15%)。速度-深度-底部切应力关系(VDSR)最适合区分中生模式。使用ANOVA统计分析将该关系与Froude数和速度-深度比进行了比较。这项研究还证明,河流几何形状的准确性在生境描述中起着决定性的作用。基于LiDAR的计算网格的不同高度公差(精度为0.2 m,0.5 m,1 m)显着减少了重要的中生境。

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