Article(id=1222963543436153541, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221813, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661961600000, receivedDateStr=2022-09-01, revisedDate=1666108800000, revisedDateStr=2022-10-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506830319, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506830319, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506830319, creator=13701087609, updateTime=1769506830319, 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=31, endPage=34, ext={EN=ArticleExt(id=1222963543696200404, articleId=1222963543436153541, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis of Temporal and Spatial Variation of Hydrological Characteristics in Yellow River Basin Under Inconsistent Conditions, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

It is of great practical significance for flood control and drought relief in the basin to accurately identify the variation characteristics of the extreme value of "hydrological consistency" caused by changing environment. Therefore, this paper took the Yellow River basin with significantly reduced runoff as an example. Firstly, The Mann-Kendall test method and univariate linear regression method were used to accurately identify the abrupt and trend characteristics of runoff at important hydrological stations in the main stream of the Yellow River. Secondly, 13 hydrological characteristic indexes were used to reveal the temporal and spatial variation law of hydrological characteristics of the basin under the condition of inconsistency. The results show that the annual runoff of Tangnaihai, Toudaoguai, Huayuankou and Lijin stations decreases year by year at the rate of 27.46, 105.75, 172.20 and 141.37 m³/(s·10a) respectively, and the abrupt change years are 1989, 1992, 1992 and 1984 respectively. Before and after runoff variation, 13 hydrological characteristic values vary in time and space scale, and the change degree in the middle reaches is large, and the source area is small. The research results provide important theoretical support for determining the development and utilization mode of water resources in the basin.

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精准识别由变化环境所导致的“水文一致性”的水文极值变异特征，对流域防洪、抗旱等具有重要实践意义。因此，以径流显著减少的黄河流域为例，首先，采用Mann-Kendall突变检验和一元线性回归方法，精准识别黄河干流径流的突变性和趋势性特征；其次，采用13种水文指标，揭示非一致性条件下流域水文特征的时空变异规律。结果表明，唐乃亥、头道拐、花园口、利津站的年径流量分别以27.46、105.75、172.20、141.37 m³/（s·10a）的速率逐年递减，且其突变年份分别为1989、1992、1992、1984年；径流变异前后，13种水文特征值在时空尺度上变化不一，且中游改变程度大，源区小。研究结果对于流域水资源开发利用方式的确定提供重要理论支撑。

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赵生华（1973-），男，硕士，研究方向为水资源系统工程，E-mail：rgbsdf555@qq.com

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赵生华（1973-），男，硕士，研究方向为水资源系统工程，E-mail：rgbsdf555@qq.com

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