Article(id=1222963543511651015, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221493, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1658246400000, receivedDateStr=2022-07-20, revisedDate=1666108800000, revisedDateStr=2022-10-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506830336, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506830336, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506830336, creator=13701087609, updateTime=1769506830336, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=135, endPage=138, ext={EN=ArticleExt(id=1222963543767503578, articleId=1222963543511651015, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=A Method of Tunnel Roughness Estimation Based on Surface Roughness Hierarchical Sampling Measurement, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Roughness is an important parameter which reflects water transport capacity of water diversion project. The roughness value can be calculated by observing the frictional head loss. However, how to estimate the roughness is always a difficult problem in hydraulics for the new unworked water diversion project. The surface roughness of water conveyance buildings is a vital factor affecting the roughness value. So, this study proposed a surface roughness measurement method relies on hierarchical sampling. Taking a new in-situ reinforced concrete lining tunnel as an example, the statistical distribution of surface roughness and the minimum sample size of tunnel roughness estimation were analyzed. On this basis, the roughness value range of the tunnel project was estimated, which has a certain reference significance for predicting the water transport capacity of the new project and inspecting the construction quality of the lining.

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糙率是反映和影响工程输水能力的重要参数，可通过观测沿程水头损失的方法测算糙率值。但对于新建未通水工程，估算糙率值是一个难题。鉴于输水建筑物表面粗糙度是影响糙率值的最主要因素，提出一种基于分级抽样的表面粗糙度测量方法，并以某新建模筑钢筋混凝土衬砌隧洞为例，分析了该方法下表面粗糙度统计分布规律及使用该方法估算隧洞粗糙度的最小样本容量，在此基础上估算了某隧洞工程的糙率值范围，结果对预估新建工程的输水能力、检验衬砌施工质量具有一定的借鉴意义。

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李军强（1996-），男，硕士研究生，研究方向为水力学及河流动力学，E-mail：ljqsl123@163.com

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李军强（1996-），男，硕士研究生，研究方向为水力学及河流动力学，E-mail：ljqsl123@163.com

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