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首页> 外文期刊>Open Journal of Modern Hydrology >HEC-RAS Model for Mannnig’s Roughness: A Case Study
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HEC-RAS Model for Mannnig’s Roughness: A Case Study

机译：Mannnig粗糙度的HEC-RAS模型：一个案例研究

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摘要

Channel roughness is considered as the most sensitive parameter in development of hydraulic models for flood forecasting and flood inundation mapping. Hence, it is essential to calibrate the channel roughness coefficient (Mannnig’s “n” value) for various river reaches through simulation of floods. In the present study it is attempted to calibrate and validate Mannnig’s “n” value using HEC-RAS for Mahanadi Riverin Odisha (India). For calibration of Mannnig’s “n” value, the floods for the years 2001 and 2003 have been considered. The calibrated model, in terms of channel roughness, has been used to simulate the flood for year2006 inthe same river reach. The performance of the calibrated and validated HEC-RAS based model has been tested using Nash and Sutcliffe efficiency. It is concluded from the simulation study that optimum Mannnig’s “n” value that can be used effectively for Khairmal to Barmul reach of Mahanadi Riveris 0.029. It is also verified that the peak flood discharge and time to reach peak value computed using Mannnig’s “n” of 0.029 showed only an error of 5.42% as compared with the observed flood data of year 2006.
机译：在洪水预报和洪水淹没制图的水力模型开发中，河道粗糙度被认为是最敏感的参数。因此，必须通过模拟洪水来校准各种河流的河道糙率系数（Mannnig的“ n”值）。在本研究中，尝试使用HEC-RAS对印度奥里萨邦Mahanadi Riverin的Mannig的“ n”值进行校准和验证。为了校准Mannnig的“ n”值，考虑了2001年和2003年的洪水。校准后的模型（根据河道粗糙度）已用于模拟同一河段2006年的洪水。使用Nash和Sutcliffe效率对经过校准和验证的基于HEC-RAS的模型的性能进行了测试。根据模拟研究得出的结论是，最佳Mannnig的“ n”值可有效地用于Mahanadi Riveris的Khairmal至Barmul范围0.029。还可以验证，使用Mannnig的n值0.029计算的洪峰流量和达到峰值的时间与2006年的洪水数据相比，仅显示5.42％的误差。

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