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Reconstructing flash flood magnitudes using 'Structure-from-Motion': A rapid assessment tool

机译:使用“运动结构”重建山洪暴发幅度:一种快速评估工具

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摘要

Accurate records of flash flood magnitudes are required to inform flood forecasting and planning. However, whilst a distributed flood survey is desirable to capture spatial heterogeneity in peak water surface elevation, the field time required for a distributed survey often limits the spatial coverage of such reconstructions. For the first time, we demonstrate the application of Structure-from-Motion (SfM) with Multi-View Stereo (MVS) to reconstruct the magnitude of a flash flood. This approach required only standard digital photographs and ground control points, took only similar to 30 min in the field, and can be embedded within existing protocols easily. We validated the method against a conventional dGPS survey in three stages: (i) comparison of topographic data revealed that SfM was accurate to within 0.1 m; (ii) high water marks extracted from the SfM model were within 0.25 m of those surveyed in the field with no consistent over or under-estimate; (iii) peak discharge reconstructed from a two-dimensional hydraulic model was within the range of more conventional estimates. With low uncertainty in our terrain model and our reconstructed flood water surface, we highlight the added value of the SfM approach for incorporating reach scale spatial variability into hydraulic reconstructions. (C) 2014 Elsevier B.V. All rights reserved.
机译:需要准确记录山洪暴发量,才能为洪水预报和计划提供依据。但是,尽管需要分布式洪水调查以捕获峰值水面高程中的空间异质性,但分布式调查所需的现场时间通常会限制此类重建的空间覆盖范围。首次,我们展示了具有多视图立体声(MVS)的动感结构(SfM)的应用来重建山洪暴发的幅度。这种方法仅需要标准的数码照片和地面控制点,在现场仅花费了30分钟左右的时间,并且可以轻松地嵌入到现有协议中。我们分三个阶段对传统的dGPS调查进行了验证:(i)地形数据比较表明SfM精确到0.1 m以内; (ii)从SfM模型提取的高水位线在实地调查的水位线的0.25 m以内,没有一致的高估或低估; (iii)从二维水力模型重建的峰值流量在更常规的估计范围内。由于我们的地形模型和重建的洪水水面具有较低的不确定性,因此我们强调了SfM方法的附加值,该方法可将水位尺度的空间变异性纳入水力重建中。 (C)2014 Elsevier B.V.保留所有权利。

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