Article(id=1223190866932646563, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222261, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1666800000000, receivedDateStr=2022-10-27, revisedDate=1669564800000, revisedDateStr=2022-11-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561028463, onlineDateStr=2026-01-28, pubDate=1695571200000, pubDateStr=2023-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561028463, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561028463, creator=13701087609, updateTime=1769561028463, updator=13701087609, issue=Issue{id=1223190866320278179, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='9', 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=1769561028318, creator=13701087609, updateTime=1769562015483, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223195006870082478, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223195006870082479, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1, endPage=5, ext={EN=ArticleExt(id=1223190867230442150, articleId=1223190866932646563, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Spatio-temporal Variations of Extreme Precipitation in the Yangtze River Delta Urban Agglomeration, 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 135 weather stations from the Yangtze river delta city during 1951-2017, spatio-temporal patterns of the extreme precipitation of the Yangtze river delta agglomeration were analyzed by the linear trend analysis, M-K trend test, wavelet cycle analysis and reverse distance weight interpolation methods. The extreme precipitation indexes were defined from the aspects of extreme precipitation amount, frequency, and intensity. The results show that except for a decrease in the continuous drought index of -0.11 d/a, the extreme precipitation indexes showed an increasing trend. The average period of change in extreme precipitation indicators was in the range of 15 a and 25 a, and the characteristic timescale was 40-50 a; The high-value area of the annual mean spatial distribution of maximum daily precipitation, maximum daily precipitation, continuous moisture index, strong rainfall, heavy rain days and annual rainy day precipitation presented in the southeast areas of the Yangtze River Delta urban agglomeration, which were distributed the opposite parts to the persistent drought index. However, the high-value areas of ordinary daily precipitation intensity were in the western part of the Yangtze River Delta urban agglomeration; The high-value areas of the changing trends of the spatial distribution and the maximum precipitation in the Yangtze River Delta urban agglomeration were all in Nanjing, Zhenjiang, Changzhou and Shanghai. The high-value areas of the spatial distribution change trend of ordinary daily precipitation intensity and annual rainy daily precipitation change trend were in Nanjing, Wuxi and Suzhou. The high-value areas of continuous moisture index, continuous drought index and heavy rain days were all in Hangzhou, Shaoxing and Wenzhou. The research findings can provide references for the prevention of rainstorm waterlogging disasters in the Yangtze River Delta Urban Agglomeration.

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为研究长江三角洲城市群极端降水时空变化特征,利用长江三角洲城市群135个气象站点1951~2017年的逐日降水资料,从极端降水总量、频次、强度方面来定义极端降水指数,对极端降雨指标值进行线性趋势分析、M-K趋势检验、小波周期分析和反距离权重插值。结果表明,极端降水指标值除CDD以-0.11 d/a下降外,其他指标值均有小幅度增加;各指标值在40~50年的特征时间尺度下,平均变化周期为15~25年;RX1day、RX5day、CWD、R95P、R20均值的空间分布高值区在长江三角洲城市群东南区;CDD则与前者分布相反;SDII均值高值区则在长江三角洲城市群西区;RX1day、RX5day、R95P的变化趋势空间分布高值区均在南京市、常州市和上海市一带;SDII和PRCPTOT变化趋势空间分布高值区在南京市、无锡市和苏州市一带;CWD、CDD、R20变化趋势的高值区在杭州市、绍兴市及温州市。研究结果可为长江三角洲城市群暴雨内涝灾害预防提供参考。

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宋晓猛(1987-),男,博士、副教授、博导,研究方向为水文水资源,E-mail:
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向宇豪(2000-),男,硕士研究生,研究方向为水文水资源,E-mail:

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长江三角洲城市群极端降水时空变化特征
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向宇豪 1, 2 , 宋晓猛 2 , 胡兆永 1
水电能源科学 | 水文水资源与环境 2023,41(9): 1-5
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水电能源科学 | 水文水资源与环境 2023, 41(9): 1-5
长江三角洲城市群极端降水时空变化特征
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向宇豪1, 2 , 宋晓猛2 , 胡兆永1
作者信息
  • 1.四川大学水力学与山区河流开发保护国家重点实验室,四川 成都 610065
  • 2.中国矿业大学资源与地球科学学院,江苏 徐州 221116
  • 向宇豪(2000-),男,硕士研究生,研究方向为水文水资源,E-mail:

通讯作者:

宋晓猛(1987-),男,博士、副教授、博导,研究方向为水文水资源,E-mail:
Spatio-temporal Variations of Extreme Precipitation in the Yangtze River Delta Urban Agglomeration
Yu-hao XIANG1, 2 , Xiao-meng SONG2 , Zhao-yong HU1
Affiliations
  • 1.State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
  • 2.School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
出版时间: 2023-09-25 doi: 10.20040/j.cnki.1000-7709.2023.20222261
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为研究长江三角洲城市群极端降水时空变化特征,利用长江三角洲城市群135个气象站点1951~2017年的逐日降水资料,从极端降水总量、频次、强度方面来定义极端降水指数,对极端降雨指标值进行线性趋势分析、M-K趋势检验、小波周期分析和反距离权重插值。结果表明,极端降水指标值除CDD以-0.11 d/a下降外,其他指标值均有小幅度增加;各指标值在40~50年的特征时间尺度下,平均变化周期为15~25年;RX1day、RX5day、CWD、R95P、R20均值的空间分布高值区在长江三角洲城市群东南区;CDD则与前者分布相反;SDII均值高值区则在长江三角洲城市群西区;RX1day、RX5day、R95P的变化趋势空间分布高值区均在南京市、常州市和上海市一带;SDII和PRCPTOT变化趋势空间分布高值区在南京市、无锡市和苏州市一带;CWD、CDD、R20变化趋势的高值区在杭州市、绍兴市及温州市。研究结果可为长江三角洲城市群暴雨内涝灾害预防提供参考。

长江三角洲城市群  /  极端降水  /  极端降雨指数  /  时空分布  /  周期变化

Based on the daily precipitation data of 135 weather stations from the Yangtze river delta city during 1951-2017, spatio-temporal patterns of the extreme precipitation of the Yangtze river delta agglomeration were analyzed by the linear trend analysis, M-K trend test, wavelet cycle analysis and reverse distance weight interpolation methods. The extreme precipitation indexes were defined from the aspects of extreme precipitation amount, frequency, and intensity. The results show that except for a decrease in the continuous drought index of -0.11 d/a, the extreme precipitation indexes showed an increasing trend. The average period of change in extreme precipitation indicators was in the range of 15 a and 25 a, and the characteristic timescale was 40-50 a; The high-value area of the annual mean spatial distribution of maximum daily precipitation, maximum daily precipitation, continuous moisture index, strong rainfall, heavy rain days and annual rainy day precipitation presented in the southeast areas of the Yangtze River Delta urban agglomeration, which were distributed the opposite parts to the persistent drought index. However, the high-value areas of ordinary daily precipitation intensity were in the western part of the Yangtze River Delta urban agglomeration; The high-value areas of the changing trends of the spatial distribution and the maximum precipitation in the Yangtze River Delta urban agglomeration were all in Nanjing, Zhenjiang, Changzhou and Shanghai. The high-value areas of the spatial distribution change trend of ordinary daily precipitation intensity and annual rainy daily precipitation change trend were in Nanjing, Wuxi and Suzhou. The high-value areas of continuous moisture index, continuous drought index and heavy rain days were all in Hangzhou, Shaoxing and Wenzhou. The research findings can provide references for the prevention of rainstorm waterlogging disasters in the Yangtze River Delta Urban Agglomeration.

Yangtze River Delta Urban Agglomeration  /  extreme precipitation  /  extreme rainfall indicators  /  spatial and temporal distribution  /  periodic variation
向宇豪, 宋晓猛, 胡兆永. 长江三角洲城市群极端降水时空变化特征. 水电能源科学, 2023 , 41 (9) : 1 -5 . DOI: 10.20040/j.cnki.1000-7709.2023.20222261
Yu-hao XIANG, Xiao-meng SONG, Zhao-yong HU. Spatio-temporal Variations of Extreme Precipitation in the Yangtze River Delta Urban Agglomeration[J]. Water Resources and Power, 2023 , 41 (9) : 1 -5 . DOI: 10.20040/j.cnki.1000-7709.2023.20222261
  • 国家自然科学基金项目(51979271)
  • 江苏省基础研究计划(自然科学基金)(BK20211247)
2023年第41卷第9期
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doi: 10.20040/j.cnki.1000-7709.2023.20222261
  • 接收时间:2022-10-27
  • 首发时间:2026-01-28
  • 出版时间:2023-09-25
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  • 收稿日期:2022-10-27
  • 修回日期:2022-11-28
基金
国家自然科学基金项目(51979271)
江苏省基础研究计划(自然科学基金)(BK20211247)
作者信息
    1.四川大学水力学与山区河流开发保护国家重点实验室,四川 成都 610065
    2.中国矿业大学资源与地球科学学院,江苏 徐州 221116

通讯作者:

宋晓猛(1987-),男,博士、副教授、博导,研究方向为水文水资源,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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