Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027079 |
Rough correlations: Meta‐analysis of roughness measures in gravel bed rivers | |
Xingyu Chen; Marwan A. Hassan; Chenge An; Xudong Fu | |
2020-07-17 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Bed roughness height (k ) is a key parameter for velocity prediction in open‐channel flows. There is not yet a firm consensus about whether characteristic particle size D 84 or σ z (standard deviation of the channel thalweg) better describes k in gravel‐bed streams. A dataset of 1788 flume and 713 field measurements with a wide range of channel morphologies and flow conditions were compiled to test whether D 84 or σ z is a better descriptor of k , and to explore the influence of several controls on flow resistance variation. Tests were performed using four well‐known flow resistance equations. The results consistently show that σ z outperforms D 84 in predicting velocity and the Smart & Jäggi Equation, with σ z as k , outperforms other equations. The dataset was grouped based on R/k (R is hydraulic radius), channel morphologies and study sites. σ z performs better than D 84 as a measure of k in all morphologies, and much better for channels with large instream wood. The analysis shows R/k is a major control on resistance variation as σ z contains more site‐specific information like bed structure. The topography measurements for step‐pool channels should at least contain measurements on key roughness elements like steps. For gravel‐dune or plane‐bed channels, the proper resolution should be higher than 1/2 dune wavelength and 2D 84 , respectively. The choice of proper reach length relates to both R/k and roughness type. Further, hydraulic geometry functions with either D 84 or σ z as k are proposed, and the relation between the two metrics are discussed. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/284200 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Xingyu Chen,Marwan A. Hassan,Chenge An,等. Rough correlations: Meta‐analysis of roughness measures in gravel bed rivers[J]. Water Resources Research,2020. |
APA | Xingyu Chen,Marwan A. Hassan,Chenge An,&Xudong Fu.(2020).Rough correlations: Meta‐analysis of roughness measures in gravel bed rivers.Water Resources Research. |
MLA | Xingyu Chen,et al."Rough correlations: Meta‐analysis of roughness measures in gravel bed rivers".Water Resources Research (2020). |
条目包含的文件 | 条目无相关文件。 |
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