Article(id=1223210584783569234, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221460, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1657900800000, receivedDateStr=2022-07-16, revisedDate=1661356800000, revisedDateStr=2022-08-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1769565729565, onlineDateStr=2026-01-28, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769565729565, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769565729565, creator=13701087609, updateTime=1769565729565, updator=13701087609, issue=Issue{id=1223210584024400210, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='6', 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=1769565729385, creator=13701087609, updateTime=1769593153259, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223325608164348105, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223325608164348106, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223210584024400210, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=17, endPage=21, ext={EN=ArticleExt(id=1223210585152667989, articleId=1223210584783569234, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Spatio-temporal Evolution and Response Relationship of Extreme Climate Events and Vegetation in Huaihe River Basin, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Vegetation is an important part of terrestrial ecosystem and is vulnerable to extreme climate events. It is of great significance to explore the spatio-temporal evolution and dynamic response relationship between extreme climate events and vegetation for scientific response to climate anomalies and prevention of natural disasters. Therefore, the RClimDex, trend analysis and detrended fluctuation analysis were used to analyze the spatio-temporal evolution of extreme climate and NDVI in the Huaihe River Basin from 1998 to 2019, and discuss their causes and future variation tendency as well as clarify the response of NDVI to extreme climate. The results demonstrate that the NDVI shows an increasing tendency with an increase of 0.002 5 a-1 from 1998 to 2019. Among the extreme climate indices, warm temperature indices showed an increasing tendency, while the cold temperature indices and precipitation indices (except RX1day) showed a decreasing tendency. The distribution of NDVI in the Huaihe River Basin was closely related to the distribution of urbanization in the region. The NDVI has a lag response of about one month to extreme climate and will continue to rise. The annual variation of the NDVI is closely related to natural and human factors, and the intra-annual variation of the NDVI is mainly affected by the growth rhythm of crops in the cultivated land.

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植被是陆生生态系统的重要组成部分,极易受极端气象事件影响,探究极端气象事件与植被的时空演变及动态响应关系,对科学应对气候异常、预防自然灾害具有重要意义。为此,结合RClimDex软件、变化趋势分析、消除趋势波动分析等方法,分析了1998~2019年以来淮河流域极端气候和NDVI时空演变规律,探讨了其成因及未来变化趋势,明确了NDVI对极端气候的响应。结果表明,1998~2019年淮河流域NDVI呈上升趋势,增幅为0.002 5 a-1,极端气候指数中暖温指数上升,冷温指数和降水指数(除RX1day外)均下降;淮河流域NDVI “西高东低”的分布与区域内城市化分布密切相关;NDVI对极端气候存在1个月左右的滞后响应,未来一段时间内,NDVI将在极端气候的作用下继续上升;流域内年际NDVI变化与自然和人为因素密不可分,年内NDVI变化主要受耕地内农作物生长节律影响。

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常俊超(1975-),男,硕士、高级工程师,研究方向为水文水资源勘测和水文信息化等,E-mail:

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常俊超(1975-),男,硕士、高级工程师,研究方向为水文水资源勘测和水文信息化等,E-mail:

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常俊超(1975-),男,硕士、高级工程师,研究方向为水文水资源勘测和水文信息化等,E-mail:

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淮河流域极端气象事件与植被时空演变及响应关系研究
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常俊超 , 崔亚军
水电能源科学 | 水文水资源与环境 2023,41(6): 17-21
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水电能源科学 | 水文水资源与环境 2023, 41(6): 17-21
淮河流域极端气象事件与植被时空演变及响应关系研究
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常俊超 , 崔亚军
作者信息
  • 河南省水文水资源局,河南 郑州 450003
  • 常俊超(1975-),男,硕士、高级工程师,研究方向为水文水资源勘测和水文信息化等,E-mail:

Study on Spatio-temporal Evolution and Response Relationship of Extreme Climate Events and Vegetation in Huaihe River Basin
Jun-chao CHANG , Ya-jun CUI
Affiliations
  • Hydrology and Water Resources Bureau of Henan Province, Zhengzhou 450003, China
出版时间: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221460
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植被是陆生生态系统的重要组成部分,极易受极端气象事件影响,探究极端气象事件与植被的时空演变及动态响应关系,对科学应对气候异常、预防自然灾害具有重要意义。为此,结合RClimDex软件、变化趋势分析、消除趋势波动分析等方法,分析了1998~2019年以来淮河流域极端气候和NDVI时空演变规律,探讨了其成因及未来变化趋势,明确了NDVI对极端气候的响应。结果表明,1998~2019年淮河流域NDVI呈上升趋势,增幅为0.002 5 a-1,极端气候指数中暖温指数上升,冷温指数和降水指数(除RX1day外)均下降;淮河流域NDVI “西高东低”的分布与区域内城市化分布密切相关;NDVI对极端气候存在1个月左右的滞后响应,未来一段时间内,NDVI将在极端气候的作用下继续上升;流域内年际NDVI变化与自然和人为因素密不可分,年内NDVI变化主要受耕地内农作物生长节律影响。

淮河流域  /  极端气候  /  归一化植被指数  /  时空演变  /  消除趋势波动分析

Vegetation is an important part of terrestrial ecosystem and is vulnerable to extreme climate events. It is of great significance to explore the spatio-temporal evolution and dynamic response relationship between extreme climate events and vegetation for scientific response to climate anomalies and prevention of natural disasters. Therefore, the RClimDex, trend analysis and detrended fluctuation analysis were used to analyze the spatio-temporal evolution of extreme climate and NDVI in the Huaihe River Basin from 1998 to 2019, and discuss their causes and future variation tendency as well as clarify the response of NDVI to extreme climate. The results demonstrate that the NDVI shows an increasing tendency with an increase of 0.002 5 a-1 from 1998 to 2019. Among the extreme climate indices, warm temperature indices showed an increasing tendency, while the cold temperature indices and precipitation indices (except RX1day) showed a decreasing tendency. The distribution of NDVI in the Huaihe River Basin was closely related to the distribution of urbanization in the region. The NDVI has a lag response of about one month to extreme climate and will continue to rise. The annual variation of the NDVI is closely related to natural and human factors, and the intra-annual variation of the NDVI is mainly affected by the growth rhythm of crops in the cultivated land.

Huaihe River Basin  /  extreme climate  /  normalized difference vegetation index  /  spatio-temporal evolution  /  detrended fluctuation analysis
常俊超, 崔亚军. 淮河流域极端气象事件与植被时空演变及响应关系研究. 水电能源科学, 2023 , 41 (6) : 17 -21 . DOI: 10.20040/j.cnki.1000-7709.2023.20221460
Jun-chao CHANG, Ya-jun CUI. Study on Spatio-temporal Evolution and Response Relationship of Extreme Climate Events and Vegetation in Huaihe River Basin[J]. Water Resources and Power, 2023 , 41 (6) : 17 -21 . DOI: 10.20040/j.cnki.1000-7709.2023.20221460
2023年第41卷第6期
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doi: 10.20040/j.cnki.1000-7709.2023.20221460
  • 接收时间:2022-07-16
  • 首发时间:2026-01-28
  • 出版时间:2023-06-25
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  • 收稿日期:2022-07-16
  • 修回日期:2022-08-25
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    河南省水文水资源局,河南 郑州 450003
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2种不同金属材料的力学参数

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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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