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首页> 外文期刊>Urban Forestry & Urban Greening >Simulating the effect of flow path roughness to examine how green infrastructure restores urban runoff timing and magnitude
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Simulating the effect of flow path roughness to examine how green infrastructure restores urban runoff timing and magnitude

机译:模拟流道粗糙度的影响,以检查绿色基础设施如何恢复城市径流的时机和幅度

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Impervious land cover was the choice for many urban development projects in order to accelerate runoff and reduce the depth and duration of local flooding, however this led to increases in downstream runoff characterized by large, flashy peak flows. Urban ecosystem restoration now involves slowing down urban runoff to restore local hydrology with green infrastructure, which can be installed as single parcels along runoff flow paths; green infrastructure essentially increases the surface roughness, delaying the speed of runoff compared with relatively smooth impervious surfaces. In this study, we present a runoff routing model that inter-compares runoff from different land parcel surfaces with different roughness to help communities quantify how land parcel restoration impacts runoff timing and peak magnitude. Our modeling experiments contrast the timing and magnitude of floods for discrete runoff pathways composed of parcels with different cover types, converting rough rural land cover to smooth impervious cover as well as the restorative impact of relocating impervious area further from the water body or installing green infrastructure along the flow path. We demonstrate how the model is calibrated to match observed runoff for an entire watershed, and how the model can then be used to estimate how land cover changes will affect runoff timing and magnitude. This study introduces how a simple model to represent land parcel surface roughness and stormwater runoff timing and magnitude, allowing for informed watershed restoration planning, urban planning and placement of green infrastructure. (C) 2015 Elsevier GmbH. All rights reserved.
机译:为了加速径流并减少局部洪灾的深度和持续时间,许多城市发展项目选择不透水的土地覆盖,但这导致下游径流增加,其特征是大流量,高潮的峰值流量。现在,城市生态系统的恢复涉及放慢城市径流,以利用绿色基础设施恢复当地的水文状况,这些基础设施可以沿着径流路径单独安装。与相对光滑的不渗透表面相比,绿色基础设施实质上会增加表面粗糙度,从而延迟径流速度。在这项研究中,我们提出了径流路由模型,该模型将具有不同粗糙度的不同地块表面的径流进行相互比较,以帮助社区量化地块恢复如何影响径流时间和峰值幅度。我们的模拟实验对比了由不同覆盖类型的地块组成的离散径流路径的洪水时间和洪水强度,将粗糙的农村土地覆盖物转化为平滑的不透水覆盖物,以及将不透水区域移至距水体更远或安装绿色基础设施的恢复性影响沿着流动路径。我们演示了如何对模型进行校准以匹配整个流域的观测径流量,然后如何使用该模型估算土地覆盖变化将如何影响径流时间和幅度。这项研究介绍了一个简单的模型如何代表地块表面粗糙度和雨水径流的时机和幅度,从而实现了明智的流域恢复规划,城市规划以及绿色基础设施的布局。 (C)2015 Elsevier GmbH。版权所有。

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