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首页> 外文期刊>Environmental Modeling & Assessment >Hydrodynamic Modeling for Flood Hazard Assessment in a Data Scarce Region: a Case Study of Bharathapuzha River Basin
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Hydrodynamic Modeling for Flood Hazard Assessment in a Data Scarce Region: a Case Study of Bharathapuzha River Basin

机译:数据稀缺地区洪水危险性评估的流体动力学建模:以巴拉塔普扎哈河流域为例

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摘要

Flood hazard is assessed for the data scarce lower Bharathapuzha basin in Kerala, India, using a hydrologic-hydraulic approach. L-moment-based regional flood frequency analysis along with a non-dimensional analysis of hydrographs is used to generate scenarios for flood hazard assessment. A fully hydrodynamic 1D river flow model is calibrated for the rivers of lower Bharathapuzha basin for the year 1992 and validated for the year 1994. The widely available SRTM DEM is used to extract river cross-sections and the limited available discharge and water level data are used to carefully calibrate the 1D river flow model. Subsequently, a coupled 1D-2D flood inundation model is used to simulate the flood inundation extent for the year 2002. In the absence of LIDAR data, a cartographic DEM derived from readily available topo maps is used as an input in the coupled 1D-2D model. Further, in the absence of microwave Synthetic Aperture Radar (SAR) data, the flood inundation extent is validated using the readily available optical IRS-1D WiFS sensor data which is mainly intended for vegetation and drought monitoring. A suitable methodology is used to delineate flood inundation extent from the partial cloud-covered WiFS image. The regional flood frequency estimates and the calibrated and validated flood inundation model are then used to assess the flood hazard.
机译:使用水文液压方法对印度喀拉拉邦数据稀少的下巴拉塔普扎盆地进行了洪水灾害评估。基于L矩的区域洪水频率分析以及水位图的无量纲分析可用于生成洪水危害评估方案。在1992年对Bharathapuzha盆地下游的河流进行了完全水动力的一维水流模型的校准,并在1994年进行了验证。广泛使用的SRTM DEM用于提取河流横截面,有限的可用流量和水位数据是用于仔细校准一维河流流量模型。随后,使用耦合的1D-2D洪水淹没模型来模拟2002年的洪水淹没程度。在没有LIDAR数据的情况下,将从易于获得的地形图获得的制图DEM用作耦合的1D-2D中的输入模型。此外,在没有微波合成孔径雷达(SAR)数据的情况下,使用易于获得的光学IRS-1D WiFS传感器数据(主要用于植被和干旱监测)验证洪水淹没程度。使用合适的方法从部分云覆盖的WiFS图像中划定洪水淹没程度。然后使用区域洪水频率估算以及经过校准和验证的洪水淹没模型来评估洪水危害。

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