Article(id=1240655020052509554, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.04.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1729526400000, receivedDateStr=2024-10-22, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773724807036, onlineDateStr=2026-03-17, pubDate=1766592000000, pubDateStr=2025-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773724807036, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773724807036, creator=13701087609, updateTime=1773724807036, updator=13701087609, issue=Issue{id=1240655017040991028, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='4', pageStart='1', pageEnd='199', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773724806318, creator=13701087609, updateTime=1773725219619, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656750618145316, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656750618145317, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=78, endPage=83, ext={EN=ArticleExt(id=1240655020371276668, articleId=1240655020052509554, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Research of LSPIV-based surface flow image velocimetry method for the channel waters near the Jianghan Bridge, columnId=1240655020279001976, journalTitle=Navigation of China, columnName=Communication and Navigation, runingTitle=null, highlight=null, articleAbstract=

Currently, ship navigators can assess flow patterns using basic instruments and adjust maneuvering strategies accordingly. Access to detailed flow field data of a waterway can provide valuable information and early warnings for ships transiting the area. This study analyzes surface flow in the waters near Jianghan Bridge, captured by video. By employing Large-Scale Particle Image Velocimetry (LSPIV), a method is developed to measure surface flow velocity in the navigation channel, enabling analysis of surface flow characteristics and acquisition of surface flow field data. The obtained flow field data are validated through comparison with optical flow methods and Acoustic Doppler Velocimetry. Results demonstrate that the proposed surface flow velocity measurement method can effectively capture detailed flow pattern characteristics of surface currents in the study area. This approach provides data support for navigation and path planning of both conventional ships and smart ships utilizing big data, contributing practical value to the enhancement of maritime safety and operational efficiency.

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船舶驾驶员仅从海事或水文部门获取粗略的航道水流信息，并据此调整船舶操纵策略。如能获取航道水域详细的水流流场数据，可为行经该水域的船舶航行提供信息和早期预警。以视频拍摄的江汉桥附近水域表面流为研究对象，运用大尺度粒子图像测速技术（LSPIV）研发航道表面流测速方法分析航道水域表面流流态特征，获取表面流流场数据，并使用光流法和超声波多普勒流速流向仪对流场进行对比验证。研究表明：运用航道表面流测速方法可获取详细的水域表面流流态，并为传统船舶和大数据下智能船舶的航行和路径规划提供数据支持，在提升船舶航行安全和效率方面具有实际意义。

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