Article(id=1222940982019084811, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222940980886626474, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230089, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1674057600000, receivedDateStr=2023-01-19, revisedDate=1676304000000, revisedDateStr=2023-02-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1769501451254, onlineDateStr=2026-01-27, pubDate=1700841600000, pubDateStr=2023-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769501451254, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769501451254, creator=13041195026, updateTime=1769501451254, updator=13041195026, issue=Issue{id=1222940980886626474, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='11', pageStart='1', pageEnd='226', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769501450987, creator=13041195026, updateTime=1769501450987, updator=13041195026, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=1, endPage=4, ext={EN=ArticleExt(id=1222940982232994321, articleId=1222940982019084811, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Characteristics of Consecutive Dry Days and Its Relationship with Circulation Index in the Huaihe River Basin, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Based on the daily precipitation data of 38 meteorological stations in the Huaihe River Basin from 1961 to 2020, the consecutive dry days (CDD) were selected. The variation characteristics of CDD and its response to 12 circulation index at different time scales were analyzed by using M-K trend test, principal component analysis, the lag correlation analysis and cross wavelet transform. The results indicate that the spatial distribution of CDD in Huaihe River Basin had obvious seasonal characteristics. It was high in the west and low in the east in summer, and high in the north and low in the south in spring, autumn and winter. In the past 60 years, the changes of CDD in different seasons were also different. The CDD increased in most stations and the basin tended to become dry in autumn, but the CDD decreased in all stations and drought slowed down in the basin in winter. The CDD with different time lags had good correlations with the WP, SOI and Nino4, and the strongest correlation with Nino4. The Nino4 had a significant strengthening effect on the CDD with a lag of 4 and 5 months, and a significant weakening effect on the CDD with a lag of 10 and 11 months. The significant influence of Nino4 on CDD was mainly concentrated in the resonance period of 10-15 months, and there was a significant negative correlation between Nino4 and CDD. The finding is prone to useful for drought prediction and water resources management in the future.

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基于淮河流域1961~2020年38个气象站点的逐日降水数据，筛选出最长连续无雨日（CDD），采用M-K趋势检验、主成分分析、时滞相关分析、交叉小波变换等方法分析了淮河流域CDD的变化特征及其对12个环流指数的响应。结果表明，淮河流域CDD空间分布有明显的季节特征。夏季表现为西高东低分布特征，春季、秋季和冬季表现为北高南低分布特征；60年来，不同季节的CDD变化亦不同，其中秋季大部分站点CDD增加，流域有变干趋势，而冬季全部站点CDD减小，流域干旱减缓；不同时滞的CDD与WP、SOI和Nino4具有较好的相关性，与Nino4的相关性最强，Nino4对滞后4、5个月的CDD有明显增强作用，对滞后10、11个月的CDD有明显减弱作用；Nino4对CDD的显著影响主要集中在10~15个月共振周期上，且主要呈Nino4超前于CDD的显著负相关关系。研究结果对今后干旱预测防御及水资源管理具有一定参考意义。

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^b.南京信息工程大学应用气象学院 江苏省农业气象重点实验室，江苏 南京 210044, bio={"content":"

马宏伟（1998-），男，硕士研究生，研究方向为应用气象学，E-mail：1248534375@qq.com

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马宏伟（1998-），男，硕士研究生，研究方向为应用气象学，E-mail：1248534375@qq.com

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