Sensitive analysis of roughness coefficient estimation using velocity data
An accurate estimation of Manning’s roughness coefficient n is of vital importance in any hydraulic study including open channel flows. In many rivers, the velocities at two-tenths and eight-tenths of the depth at stations across the stream are available to estimate Manning’s roughness n based on a...
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2020
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Truy cập trực tuyến: | http://tailieuso.tlu.edu.vn/handle/DHTL/9029 |
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oai:localhost:DHTL-90292024-01-10T09:45:37Z Sensitive analysis of roughness coefficient estimation using velocity data Nguyen Thu Hien Open channels Roughness coefficient Two-point velocities Logarithm distribution An accurate estimation of Manning’s roughness coefficient n is of vital importance in any hydraulic study including open channel flows. In many rivers, the velocities at two-tenths and eight-tenths of the depth at stations across the stream are available to estimate Manning’s roughness n based on a logarithmic velocity distribution. This paper re-investigates the method of the two-point velocity method and a sensitive analysis is theoretically carried out and verified with experiment data. The results show that velocity data can be used to estimate n for fully roughturbulent wide channels. The results also indicate that the errors in the estimated n are very sensitive to the errors in x (the ratio of velocity at two-tenths the depth to that at eight-tenths the depth). The theoretical and experimental work shows that the smoother and deeper a stream, the more sensitive the relative error in estimated n is to the relative error in x. 2020-06-30T08:19:35Z 2020-06-30T08:19:35Z 2019 BB 1859-3941 http://tailieuso.tlu.edu.vn/handle/DHTL/9029 en Tạp chí Khoa học Thuỷ lợi và Môi trường, Số 64 (3/2019), tr.113-120 application/pdf |
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Trường Đại học Thủy Lợi |
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language |
English |
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Open channels Roughness coefficient Two-point velocities Logarithm distribution |
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Open channels Roughness coefficient Two-point velocities Logarithm distribution Nguyen Thu Hien Sensitive analysis of roughness coefficient estimation using velocity data |
description |
An accurate estimation of Manning’s roughness coefficient n is of vital importance in any hydraulic study including open channel flows. In many rivers, the velocities at two-tenths and eight-tenths of the depth at stations across the stream are available to estimate Manning’s roughness n based on a logarithmic velocity distribution. This paper re-investigates the method of the two-point velocity method and a sensitive analysis is theoretically carried out and verified with experiment data. The results show that velocity data can be used to estimate n for fully roughturbulent wide channels. The results also indicate that the errors in the estimated n are very sensitive to the errors in x (the ratio of velocity at two-tenths the depth to that at eight-tenths the depth). The theoretical and experimental work shows that the smoother and deeper a stream, the more sensitive the relative error in estimated n is to the relative error in x. |
format |
BB |
author |
Nguyen Thu Hien |
author_facet |
Nguyen Thu Hien |
author_sort |
Nguyen Thu Hien |
title |
Sensitive analysis of roughness coefficient estimation using velocity data |
title_short |
Sensitive analysis of roughness coefficient estimation using velocity data |
title_full |
Sensitive analysis of roughness coefficient estimation using velocity data |
title_fullStr |
Sensitive analysis of roughness coefficient estimation using velocity data |
title_full_unstemmed |
Sensitive analysis of roughness coefficient estimation using velocity data |
title_sort |
sensitive analysis of roughness coefficient estimation using velocity data |
publishDate |
2020 |
url |
http://tailieuso.tlu.edu.vn/handle/DHTL/9029 |
work_keys_str_mv |
AT nguyenthuhien sensitiveanalysisofroughnesscoefficientestimationusingvelocitydata |
_version_ |
1787821256099233792 |