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An integrated evaluation of the National Water Model?(NWM)–Height Above Nearest Drainage (HAND) flood mapping methodology

机译:对国家水模型(NWM)–最近排水高度(HAND)洪水制图方法的综合评估

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Flood maps are needed for emergency response, research, and planning. The Height Above Nearest Drainage?(HAND) technique is a low-complexity, terrain-based approach for inundation mapping using elevation data, discharge–height relationships, and streamflow inputs. The recent operational capacities of the NOAA National Water Model?(NWM) andpreprocessed HAND products from the University of Texas offer an operational framework for real-time and forecast flood guidance across the?US. In this study, we evaluate the integrated National WaterModel?–Height Above Nearest Drainage?(NWM–HAND) flood mapping approachusing 28 remotely sensed inundation maps and 54?reach-level catchments. Theresults show the NWM–HAND method tends to underpredict inundated cells in4th-order and lower-order reaches but does better with a slight tendency to overpredict in high-order reaches. An evaluation of the roughness coefficient used in the production of synthetic rating curves suggests it is the most important parameter for correcting these errors. Persistent inaccuracies do occur when NWM streamflow predictions are substantially biased (>60% mean absolute error between NWM and observed streamflow) and in regions of low relief. Overall, the NWM–HAND method does not accurately capture inundated cells but is quite capable of highlighting regions likely to be at risk in 4th-order streams and higher. While NWM–HAND should be used with caution when identifying flood boundaries or making decisions of whether a cell is dry or wet, its applicability as a high-level guidance tool along larger rivers isnoteworthy.
机译:洪水地图是应急响应,研究和计划所必需的。 “高于最近的排水高度”(HAND)技术是一种基于地形的低复杂度方法,用于使用高程数据,排水高度关系和水流输入进行淹没制图。得克萨斯大学(University of Texas)的NOAA国家水模型(NWM)和经过预处理的HAND产品的近期运行能力为整个美国的实时洪水预报和洪水预报提供了操作框架。在这项研究中,我们使用28幅遥感淹没图和54个“达标流域”来评估综合的国家水模型“最近排水高度”(NWM-HAND)洪水制图方法。结果表明,NWM-HAND方法趋向于低估四级和低级河道的淹没细胞,但效果更好,略有高估高河道的趋势。对用于生成合成额定曲线的粗糙度系数的评估表明,它是校正这些误差的最重要参数。当NWM流量预测明显偏向(NWM与观察到的流量之间的平均绝对误差> 60%)并且在低起伏区域时,确实会出现持续的误差。总体而言,NWM–HAND方法无法准确捕获淹没的细胞,但能够突出显示四阶及更高流中可能处于危险之中的区域。虽然在确定洪水边界或决定小室是干还是湿时应谨慎使用NWM–HAND,但值得注意的是,它可作为大河沿岸的高级指导工具。

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