Article(id=1222925282172981726, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222925278838513745, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221789, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661788800000, receivedDateStr=2022-08-30, revisedDate=1664380800000, revisedDateStr=2022-09-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1769497708122, onlineDateStr=2026-01-27, pubDate=1677254400000, pubDateStr=2023-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769497708122, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769497708122, creator=13701087609, updateTime=1769497708122, updator=13701087609, issue=Issue{id=1222925278838513745, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='2', 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=1769497707328, creator=13701087609, updateTime=1769497707328, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=61, endPage=64, ext={EN=ArticleExt(id=1222925283523547632, articleId=1222925282172981726, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Characteristic Curve Correction of Cascade Hydropower Stations in the Middle and Lower Reaches of Dadu River, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

In order to solve the problem of interval flow inversion of cascade hydropower stations, taking the cascade hydropower stations in the middle and lower reaches of the Dadu River basin as an example, the characteristic curve correction of the six reservoirs in the basin was carried out. In order to accurately calculate the inflow and outflow of each reservoir by correcting each characteristic curve, and make the flow inversion rate of each interval meet the requirements, four correction methods of characteristic curve correction methods were proposed with the goal of minimizing the flow inversion rate, which includes single-point discrete optimization, multi-point discrete optimization, curve cluster overall translation optimization, and distinguishing different water head/water level translation optimization. The simulation calculation shows that although each curve correction method has certain effect, the distinguishing different water head/water level translation optimization method has the best effect. After using this method to correct the characteristic curve, the interval flow inversion rates of PuSheng and GongTong decreased from 53% and 77.96% to 13.93% and 4.37%, respectively. Although the flow inversion rates in the remaining intervals has slightly increased after correction, they are all within a reasonable range. It can be seen that the curve correction method effectively reduces the inversion rate of interval flow and improves the consistency of runoff series, which can provide a data basis for the accurate water regulation of cascade hydropower stations in the Dadu River basin.

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为解决梯级水电站区间流量倒挂问题,以大渡河流域中下游梯级水电站为例,开展该流域6库梯级水电站特征曲线校正工作,以区间谬误率最小为目标,提出了曲线单点离散优化、曲线多点离散优化、曲线簇整体平移优化和分水头/水位平移优化等多种特征曲线校正方法,以通过校正各特征曲线实现对各水库出入库流量的准确推算,并使各区间的区间谬误率满足要求。模拟计算发现,虽然各曲线校正方法均有一定效果,但分水头/水位平移校正方法效果最优,在采用该方法校正特征曲线后,瀑深、龚铜区间的区间流量谬误率分别由初始53.0%、77.96%降至校正后的13.93%、4.37%,剩余区间的区间流量谬误率虽然校正后略有上升,但均在合理范围内。可见,曲线校正方法有效降低了区间流量谬误率,提高了径流序列的一致性,可为大渡河流域梯级水电站的精确水量调度提供数据基础。

, correspAuthors=null, authorNote=null, correspAuthorsNote=
蒋志强(1986-),男,副教授,研究方向为水库优化调度,E-mail:
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朱艳军(1982-),男,工程师,研究方向为水文学及水资源,E-mail:

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朱艳军(1982-),男,工程师,研究方向为水文学及水资源,E-mail:

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朱艳军(1982-),男,工程师,研究方向为水文学及水资源,E-mail:

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大渡河中下游梯级水电站特征曲线校正研究
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朱艳军 1 , 杜昊 2 , 邱斌 2 , 王超 3 , 何珊珊 2 , 蒋志强 2
水电能源科学 | 水情测报与优化调 2023,41(2): 61-64
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水电能源科学 | 水情测报与优化调 2023, 41(2): 61-64
大渡河中下游梯级水电站特征曲线校正研究
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朱艳军1 , 杜昊2, 邱斌2, 王超3, 何珊珊2, 蒋志强2
作者信息
  • 1.国能大渡河流域水电开发有限公司,四川 成都 610000
  • 2.华中科技大学土木与水利工程学院,湖北 武汉 430074
  • 3.中国水利水电科学研究院,北京 100038
  • 朱艳军(1982-),男,工程师,研究方向为水文学及水资源,E-mail:

通讯作者:

蒋志强(1986-),男,副教授,研究方向为水库优化调度,E-mail:
Study on Characteristic Curve Correction of Cascade Hydropower Stations in the Middle and Lower Reaches of Dadu River
Yan-jun ZHU1 , Hao DU2, Bin QIU2, Chao WANG3, Shan-shan HE2, Zhi-qiang JIANG2
Affiliations
  • 1.CHN Energy Dadu River Hydropower Development Co., Ltd., Chengdu 610000, China
  • 2.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 3.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
出版时间: 2023-02-25 doi: 10.20040/j.cnki.1000-7709.2023.20221789
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为解决梯级水电站区间流量倒挂问题,以大渡河流域中下游梯级水电站为例,开展该流域6库梯级水电站特征曲线校正工作,以区间谬误率最小为目标,提出了曲线单点离散优化、曲线多点离散优化、曲线簇整体平移优化和分水头/水位平移优化等多种特征曲线校正方法,以通过校正各特征曲线实现对各水库出入库流量的准确推算,并使各区间的区间谬误率满足要求。模拟计算发现,虽然各曲线校正方法均有一定效果,但分水头/水位平移校正方法效果最优,在采用该方法校正特征曲线后,瀑深、龚铜区间的区间流量谬误率分别由初始53.0%、77.96%降至校正后的13.93%、4.37%,剩余区间的区间流量谬误率虽然校正后略有上升,但均在合理范围内。可见,曲线校正方法有效降低了区间流量谬误率,提高了径流序列的一致性,可为大渡河流域梯级水电站的精确水量调度提供数据基础。

流量倒挂  /  特征曲线校正  /  径流非一致性  /  区间流量谬误率  /  梯级水库  /  大渡河

In order to solve the problem of interval flow inversion of cascade hydropower stations, taking the cascade hydropower stations in the middle and lower reaches of the Dadu River basin as an example, the characteristic curve correction of the six reservoirs in the basin was carried out. In order to accurately calculate the inflow and outflow of each reservoir by correcting each characteristic curve, and make the flow inversion rate of each interval meet the requirements, four correction methods of characteristic curve correction methods were proposed with the goal of minimizing the flow inversion rate, which includes single-point discrete optimization, multi-point discrete optimization, curve cluster overall translation optimization, and distinguishing different water head/water level translation optimization. The simulation calculation shows that although each curve correction method has certain effect, the distinguishing different water head/water level translation optimization method has the best effect. After using this method to correct the characteristic curve, the interval flow inversion rates of PuSheng and GongTong decreased from 53% and 77.96% to 13.93% and 4.37%, respectively. Although the flow inversion rates in the remaining intervals has slightly increased after correction, they are all within a reasonable range. It can be seen that the curve correction method effectively reduces the inversion rate of interval flow and improves the consistency of runoff series, which can provide a data basis for the accurate water regulation of cascade hydropower stations in the Dadu River basin.

flow inversion  /  characteristic curve correction  /  runoff inconsistency  /  interval flow inversion rate  /  cascade reservoirs  /  Dadu River
朱艳军, 杜昊, 邱斌, 王超, 何珊珊, 蒋志强. 大渡河中下游梯级水电站特征曲线校正研究. 水电能源科学, 2023 , 41 (2) : 61 -64 . DOI: 10.20040/j.cnki.1000-7709.2023.20221789
Yan-jun ZHU, Hao DU, Bin QIU, Chao WANG, Shan-shan HE, Zhi-qiang JIANG. Study on Characteristic Curve Correction of Cascade Hydropower Stations in the Middle and Lower Reaches of Dadu River[J]. Water Resources and Power, 2023 , 41 (2) : 61 -64 . DOI: 10.20040/j.cnki.1000-7709.2023.20221789
  • 国家自然科学基金项目(52179016)
  • 湖北省自然科学基金项目(2021CFB597)
2023年第41卷第2期
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文章信息
doi: 10.20040/j.cnki.1000-7709.2023.20221789
  • 接收时间:2022-08-30
  • 首发时间:2026-01-27
  • 出版时间:2023-02-25
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出版历史
  • 收稿日期:2022-08-30
  • 修回日期:2022-09-29
基金
国家自然科学基金项目(52179016)
湖北省自然科学基金项目(2021CFB597)
作者信息
    1.国能大渡河流域水电开发有限公司,四川 成都 610000
    2.华中科技大学土木与水利工程学院,湖北 武汉 430074
    3.中国水利水电科学研究院,北京 100038

通讯作者:

蒋志强(1986-),男,副教授,研究方向为水库优化调度,E-mail:
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https://castjournals.cast.org.cn/joweb/sdnykx/CN/10.20040/j.cnki.1000-7709.2023.20221789
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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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