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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Tác giả chính: Nguyen Thu Hien
Định dạng: BB
Ngôn ngữ:English
Thông tin xuất bản: 2020
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Truy cập trực tuyến:http://tailieuso.tlu.edu.vn/handle/DHTL/9029
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spelling 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
institution Trường Đại học Thủy Lợi
collection DSpace
language English
topic Open channels
Roughness coefficient
Two-point velocities
Logarithm distribution
spellingShingle 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
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