Article(id=1223185970716070636, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221085, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1650556800000, receivedDateStr=2022-04-22, revisedDate=1654617600000, revisedDateStr=2022-06-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1769559861114, onlineDateStr=2026-01-28, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769559861114, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769559861114, creator=13701087609, updateTime=1769559861114, updator=13701087609, issue=Issue{id=1223185958363841064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='3', 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=1769559858149, creator=13701087609, updateTime=1769561242661, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223191765415477785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223191765415477786, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1, endPage=4, ext={EN=ArticleExt(id=1223185972838388555, articleId=1223185970716070636, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Frequency Analysis of Extreme Rainfall in Dawen River Basin Based on Regional L-Moments Method, columnId=1223185960926564679, journalTitle=Water Resources and Power, columnName=HYDROLOGY，WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Taking Dawen River Basin in Shandong Province as an example, Mann-Kendall method was used to analyze the consistency of the 6 h, 12 h, 24 h and 3 d annual extreme rainfall data. The regional linear moment method was used to infer the design value of the site rainstorm, and the regional design value was compared with the single-station linear moment method. The spatial distribution map of the design value of the 50-year rainstorm in Dawen River Basin was drawn. The results show that the Dawen River Basin can be divided into 3 hydrometeorological homogeneous regions, and the optimal distribution frequency linetype is dominated by the generalized extreme-value distribution (GEV). The difference (mean absolute relative error) between the results of single-station L-moment frequency analysis method and regional L-moments frequency analysis method decreases with the increase of the length of the sample series, and the larger the return period is, the greater the gap is; The spatial distribution of the designed rainstorm values in Dawen River Basin is not uniform, but the distribution trend of each period is basically similar.

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以山东省大汶河流域为例，采用M-K检验法对6、12、24 h和3 d的年极值降雨资料进行一致性分析，在此基础上，采用地区线性矩法推求站点暴雨设计值，将区域设计值结果与单站线性矩法结果进行对比分析，并绘制了大汶河流域50年一遇暴雨设计值的空间分布图。结果表明，可将大汶河流域划分为3个水文气象一致区，最优分布线型以广义极值分布（GEV）为主；单站线性矩法与地区线性矩法结果的差距（平均绝对相对误差）随样本系列长度的增加而减小，且重现期越大差距越大；大汶河流域暴雨设计值的空间分布不均，但各时段分布态势基本相似。

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谢玖跃（1998-），男，硕士研究生，研究方向为水文水资源，E-mail：2692790800@qq.com

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谢玖跃（1998-），男，硕士研究生，研究方向为水文水资源，E-mail：2692790800@qq.com

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