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Modelling of flood hazard extent in data sparse areas:a case study of the Oti River basin, West Africa

机译:数据稀疏地区的洪灾危害程度建模:以西非奥蒂河流域为例

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摘要

Study region: Terrain and hydrological data are scarce in many African countries. The coarse spatial resolution of freely available Shuttle Radar Topographic Mission elevation data and the absence of flow gauges on flood-prone reaches, such as the Oti River studied here, make flood inundation modelling challenging in West Africa. Study focus: A flood modelling approach is developed here to simulate flood extent in data scarce regions. The methodology is based on a calibrated, distributed hydrological model for the whole basin to simulate the input discharges for a hydraulic model which is used to predict the flood extent for a 140 km reach of the Oti River. New hydrological insight for the region: Good hydrological model calibration (Nash Sutcliffe coefficient: 0.87) and validation (Nash Sutcliffe coefficient: 0.94) results demonstrate that even with coarse scale (5 km) input data, it is possible to simulate the discharge along this region's rivers, and importantly with a distributed model, derive model flows at any ungauged location within basin. With a lack of surveyed channel bathymetry, modelling the flood was only possible with a parametrized sub-grid hydraulic model. Flood model fit results relative to the observed 2007 flood extent and extensive sensitivity testing shows that this fit (64%) is likely to be as good as is possible for this region, given the coarseness of the terrain digital elevation model.
机译:研究区域:许多非洲国家缺乏地形和水文数据。可免费获得的航天飞机雷达地形任务高程数据的粗略空间分辨率以及易受洪水影响的河段没有流量表,例如此处研究的奥蒂河,使西非的洪水淹没模型具有挑战性。研究重点:这里开发了一种洪水建模方法来模拟数据稀缺区域的洪水程度。该方法基于整个流域的校准,分布式水文模型,以模拟水力模型的输入流量,该模型用于预测奥提河140公里段的洪水范围。该地区的新水文见解:良好的水文模型校准(纳什·苏特克利夫系数:0.87)和验证(纳什·苏特克利夫系数:0.94)结果表明,即使使用粗略尺度(5公里)的输入数据,也可以沿此模拟流量该地区的河流(重要的是使用分布式模型)可得出流域内任何未开封位置的模型流量。在缺乏调查的河道测深的情况下,只有通过参数化的子网格水力模型才能对洪水进行建模。洪水模型的拟合结果相对于2007年观测到的洪水程度,广泛的敏感性测试表明,鉴于地形数字高程模型的粗糙性,该拟合(64%)可能与该地区的拟合效果一样好。

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