期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
HEC-RAS Model for Mannnig’s Roughness: A Case Study 被引量:1
1
作者 Prabeer Kumar Parhi 《Open Journal of Modern Hydrology》 2013年第3期97-101,共5页
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 coeffici... 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. 展开更多
关键词 HYDRODYNAMIC Model FLOOD Simulation FLOOD Forecasting HEC-RAS RIVER Mahanadi
下载PDF
Calibration of Channel Roughness for Mahanadi River, (India) Using HEC-RAS Model
2
作者 Prabeer Kumar Parhi R. N. Sankhua G. P. Roy 《Journal of Water Resource and Protection》 2012年第10期847-850,共4页
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 coeffic... 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 Mannnig’s “n” value of 0.032 gives best result for Khairmal to Munduli reach of Mahanadi River. 展开更多
关键词 HYDRODYNAMIC Model CALIBRATION Simulation FLOOD HYDROGRAPH Validation HEC-RAS
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部