Article(id=1223202686263214411, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230428, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1679328000000, receivedDateStr=2023-03-21, revisedDate=1681833600000, revisedDateStr=2023-04-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563846411, onlineDateStr=2026-01-28, pubDate=1703433600000, pubDateStr=2023-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563846411, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563846411, creator=13701087609, updateTime=1769563846411, updator=13701087609, issue=Issue{id=1223202678788965355, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='12', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769563844630, creator=13701087609, updateTime=1769563913308, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202966899901286, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202966899901287, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=82, endPage=84, ext={EN=ArticleExt(id=1223202687861244281, articleId=1223202686263214411, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis on Influencing Factors of Regulation and Storage Capacity of River Channel in Polder Areas, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

The regulation and storage capacity of a river channel plays an important role in the safety of drainage in polder areas. In order to study the factors related to the actual effective regulation and storage capacity of a river channel in polder areas, this paper adopts the unsteady flow model and the water balance method to calculate the regulation and storage capacity of a single river channel. The calculation results of the two methods show that the main influencing factors of the regulation and storage capacity of a river channel are the water depth corresponding to the starting regulation level, the roughness of the river channel, the length of the river channel and the cross-section morphology, etc. For the backbone drainage channel with large discharge, the actual effective regulation and storage capacity is the storage capacity from above the water surface line corresponding to the designed discharge to the maximum water level. The research results have certain reference value for the planning and design of drainage in polder areas.

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河槽调蓄库容是圩区排涝安全的重要组成部分,为分析圩区河槽实际有效调蓄库容的影响因素,采用非恒定流模型和水量平衡法对单一河道进行调蓄计算,对比计算结果表明,影响河槽调蓄库容的主要因素为起调水位对应水深、泵站外排流量、河道长度及断面形态等,对于过流量较大的骨干排涝通道,其实际有效调蓄库容为其达到泵站外排流量时对应水面线以上至最高水位水面线之间的库容。研究结果可为圩区排涝规划设计提供参考。

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吴春(1985-),男,硕士、高级工程师,研究方向为水利工程规划,E-mail:

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吴春(1985-),男,硕士、高级工程师,研究方向为水利工程规划,E-mail:

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吴春(1985-),男,硕士、高级工程师,研究方向为水利工程规划,E-mail:

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圩区河槽调蓄库容影响因素分析研究
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吴春 , 倪鹏 , 丁兆晖
水电能源科学 | 水情测报与优化调度 2023,41(12): 82-84
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水电能源科学 | 水情测报与优化调度 2023, 41(12): 82-84
圩区河槽调蓄库容影响因素分析研究
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吴春 , 倪鹏, 丁兆晖
作者信息
  • 上海市政工程设计研究总院(集团)有限公司,上海 200092
  • 吴春(1985-),男,硕士、高级工程师,研究方向为水利工程规划,E-mail:

Analysis on Influencing Factors of Regulation and Storage Capacity of River Channel in Polder Areas
Chun WU , Peng NI, Zhao-hui DING
Affiliations
  • Shanghai Municipal Engineering Design Institute (Group) CO, LTD, Shanghai 200092, China
出版时间: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230428
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河槽调蓄库容是圩区排涝安全的重要组成部分,为分析圩区河槽实际有效调蓄库容的影响因素,采用非恒定流模型和水量平衡法对单一河道进行调蓄计算,对比计算结果表明,影响河槽调蓄库容的主要因素为起调水位对应水深、泵站外排流量、河道长度及断面形态等,对于过流量较大的骨干排涝通道,其实际有效调蓄库容为其达到泵站外排流量时对应水面线以上至最高水位水面线之间的库容。研究结果可为圩区排涝规划设计提供参考。

河槽调蓄  /  排涝计算  /  非恒定流  /  动库容

The regulation and storage capacity of a river channel plays an important role in the safety of drainage in polder areas. In order to study the factors related to the actual effective regulation and storage capacity of a river channel in polder areas, this paper adopts the unsteady flow model and the water balance method to calculate the regulation and storage capacity of a single river channel. The calculation results of the two methods show that the main influencing factors of the regulation and storage capacity of a river channel are the water depth corresponding to the starting regulation level, the roughness of the river channel, the length of the river channel and the cross-section morphology, etc. For the backbone drainage channel with large discharge, the actual effective regulation and storage capacity is the storage capacity from above the water surface line corresponding to the designed discharge to the maximum water level. The research results have certain reference value for the planning and design of drainage in polder areas.

channel regulation and storage  /  drainage calculation  /  unsteady flow  /  dynamic storage capacity
吴春, 倪鹏, 丁兆晖. 圩区河槽调蓄库容影响因素分析研究. 水电能源科学, 2023 , 41 (12) : 82 -84 . DOI: 10.20040/j.cnki.1000-7709.2023.20230428
Chun WU, Peng NI, Zhao-hui DING. Analysis on Influencing Factors of Regulation and Storage Capacity of River Channel in Polder Areas[J]. Water Resources and Power, 2023 , 41 (12) : 82 -84 . DOI: 10.20040/j.cnki.1000-7709.2023.20230428
2023年第41卷第12期
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doi: 10.20040/j.cnki.1000-7709.2023.20230428
  • 接收时间:2023-03-21
  • 首发时间:2026-01-28
  • 出版时间:2023-12-25
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  • 收稿日期:2023-03-21
  • 修回日期:2023-04-19
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    上海市政工程设计研究总院(集团)有限公司,上海 200092
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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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