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Calibration of Channel Roughness for Mahanadi River, (India) Using HEC-RAS Model

机译:使用HEC-RAS模型对印度马哈纳迪河的河道粗糙度进行标定

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Channel roughness is the most sensitive parameter in development of hydraulic model for flood forecasting and flood plane mapping. Hence, in the present study it is attempted to calibrate the channel roughness coefficient (Manning's "n" value) along the river Mahanadi, Odisha through simulation of floods using HEC-RAS. For calibration of Manning's "n" value the flood of year 2003 has been considered. The calibrated model, in terms of channel roughness, has been used to simulate the flood for year 2006 in the same river reach. The performance of the calibrated and validated HEC-RAS based model is tested using Nash and Sutcliffe efficiency. It is concluded from the simulation study that Manning's "n" value of 0.032 gives best result for Khairmal to Munduli reach of Mahanadi River.
机译:在洪水预报和洪水平面制图的水力模型开发中,河道粗糙度是最敏感的参数。因此,在本研究中,试图通过使用HEC-RAS模拟洪水来校准奥里萨邦Mahanadi河沿岸的河道粗糙度系数(Manning的“ n”值)。为了校准曼宁的“ n”值,已经考虑了2003年的洪水。经校准的模型(根据河道的粗糙度)已用于模拟同一河段2006年的洪水。使用Nash和Sutcliffe效率测试经过校准和验证的基于HEC-RAS的模型的性能。从模拟研究得出的结论是,Manning的“ n”值0.032对于马哈纳迪河的海尔姆勒至蒙杜利河段提供了最佳结果。

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