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首页> 外文期刊>Journal of the American Water Resources Association >Error Assessment for Height Above the Nearest Drainage Inundation Mapping
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Error Assessment for Height Above the Nearest Drainage Inundation Mapping

机译：最近排水淹没映射高度的误差评估

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摘要

Real-time flood inundation mapping is vital for emergency response to help protect life and property. Inundation mapping transforms rainfall forecasts into meaningful spatial information that can be utilized before, during, and after disasters. While inundation mapping has traditionally been conducted on a local scale, automated algorithms using topography data can be utilized to efficiently produce flood maps across the continental scale. The Height Above the Nearest Drainage method can be used in conjunction with synthetic rating curves (SRCs) to produce inundation maps, but the performance of these inundation maps needs to be assessed. Here we assess the accuracy of the SRCs and calculate statistics for comparing the SRCs to rating curves obtained from hydrodynamic models calibrated against observed stage heights. We find SRCs are accurate enough for large-scale approximate inundation mapping while not as accurate when assessing individual reaches or cross sections. We investigate the effect of terrain and channel characteristics and observe reach length and slope predict divergence between the two types of rating curves, and SRCs perform poorly for short reaches with extreme slope values. We propose an approach to recalculate the slope in Manning's equation as the weighted average over a minimum distance and assess accuracy for a range of moving window lengths.
机译：实时洪水淹没映射对于应急响应至关重要，以帮助保护生活和财产。淹没映射将降雨预测转化为可以在灾害之前，期间和之后使用的有意义的空间信息。虽然传统上是在本地规模上进行的淹没映射，但是使用地形数据的自动化算法可用于有效地在大陆尺度上产生洪水图。高于最近的排水方法的高度可以与合成额定曲线（SRC）结合使用以产生淹没图，但需要评估这些淹没图的性能。在这里，我们评估SRC的准确性并计算将SRC与从校准的阶段高度校准的流体动力学模型获得的额定曲线进行比较的统计数据。我们发现SRCS足以足够准确，以便大近似淹没映射，而在评估个别到达或横截面时则不准确。我们调查地形和渠道特征的影响，观察到达到长度和斜坡预测两种类型的评级曲线之间的分歧，并且SRC对于具有极端坡度值的短暂覆盖。我们提出一种方法来重新计算Manning等式中的斜率，作为在最小距离上的加权平均值，并评估一系列移动窗口长度的精度。

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