High Gradient River Data

Data Set S01: The whole dataset composed of 2622 cross-sectional measurements compiled from Misset et al. (2019) and Mendicino & Colosimo (2019). This file contains the basic equations of the Chezy’s, Manning’s, and Darcy-Weisbach, along with the other most commonly used flow resistance equations of Strickler (1923), Keulegan (1938), Hey (1979), Smart and Jaggi (1983), Bathurst (1985), Ferguson (2007), Recking et al. (2008), and Rickenmann and Recking (2011). In addition, the formulae used to calculate the root mean square error (RMSE) and root mean square percentage error (RMSPE) were also mentioned in text S3. The data shortlisting criteria is as shown in Figure S1. The data classification on the basis on geometric standard deviation of bed material is shown in Table S1. However, the performances of the conventional equations in terms of root mean square error (RMSE), and root mean square percentage error (RMSPE) are shown in Table S2. The whole dataset composed of 2622 cross-sectional measurements were mentioned as additional information in Data Set S01数据集S01：本数据集共包含2622组断面测量数据，汇编自Misset等人（2019）与Mendicino、Colosimo（2019）的研究成果。本文件收录了谢齐（Chezy）公式、曼宁（Manning）公式与达西-魏斯巴赫（Darcy-Weisbach）的基本形式，同时涵盖Strickler（1923）、Keulegan（1938）、Hey（1979）、Smart与Jaggi（1983）、Bathurst（1985）、Ferguson（2007）、Recking等人（2008）以及Rickenmann与Recking（2011）提出的其他主流水流阻力计算公式。此外，文本S3中还提及了用于计算均方根误差（root mean square error, RMSE）与均方根百分比误差（root mean square percentage error, RMSPE）的相关公式。数据筛选标准如图S1所示。基于床面泥沙几何标准差的数据集分类情况见表S1。各类经典公式在均方根误差（RMSE）与均方根百分比误差（RMSPE）指标下的表现详见表S2。本次数据集S01所包含的全部2622组断面测量数据，已作为附加信息在本数据集中予以说明。