Article(id=1223202686946890172, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230453, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1679673600000, receivedDateStr=2023-03-25, revisedDate=1681747200000, revisedDateStr=2023-04-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563846575, onlineDateStr=2026-01-28, pubDate=1703433600000, pubDateStr=2023-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563846575, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563846575, creator=13701087609, updateTime=1769563846575, 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=53, endPage=57, ext={EN=ArticleExt(id=1223202688679137837, articleId=1223202686946890172, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Multi-objective Optimization of Three Gorges Reservoir Based on Ecological Flow Constraints, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

Exerting huge economic and social benefits, the construction and operation of water conservancy projects have an impact on the ecological environment of upstream and downstream reaches. However, it is also an effective way to regulate and improve the ecological environment by rationally optimizing the water storage and release process of the reservoir and carrying out targeted ecological management of the reservoir. From the perspective of ecological flow constraints, through data investigation and analysis, the appropriate flow ranges of the Yangtze River main stream conducive to the natural reproduction of the four major Chinese carps, Chinese sturgeon and the control of estuary salt tide intrusion were determined. Then, the optimal scheduling model of the Three Gorges Reservoir was established considering the downstream ecological flow constraints. Multi-objective reservoir ecological dispatching model is emphasized. The results show that the ecological flow of the lower reaches of the Three Gorges Reservoir was basically guaranteed during the wet season from May to September, but the ecological water shortage was prone to occur in different degrees in other seasons, especially in the dry years. For the optimal scheduling, the power generation and the monthly maximum ecological water shortage rate showed a positive relationship, indicating that the two scheduling objectives could not reach the optimum simultaneously. The power generation of the optimal scheduling in a typical dry year was between 80.2 billion and 83.5 billion kW·h, and the monthly maximum ecological water shortage rate was between 24% and 48%. The optimal scheme obtained by multi-objective dispatching can basically coordinate the ecological and power generation needs. On the basis of the downstream ecological flow needs, the power generation benefits increases by 4.07% compared to the design scheme.

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水利工程的建设与运行，在发挥巨大经济社会效益的同时，对上下游不同河段的生态环境会产生影响，但通过合理优化调配水库蓄放水过程，开展针对性的水库生态调度，是调控改善生态环境问题的有效途径。因此，从生态流量约束的角度出发，通过资料调研与数据分析，分别明确了长江干流有利于四大家鱼、中华鲟自然繁殖和控制河口咸潮入侵的流量适宜范围，然后建立考虑下游生态流量约束的三峡水库优化调度模型，在三峡水库常规调度的基础上，重点开展了多目标的水库生态调度模型研究。结果表明，在典型年丰水季节5~9月期间，三峡下游的生态流量基本得以保证，然而其他季节均易出现不同程度的生态缺水状况，尤以枯水年生态缺水最严重；优化调度时，发电量和逐月最大生态流量缺水率呈明显的正比关系，说明两个调度目标不能同时达到最优，典型枯水年优化调度的发电量大致处于802×10⁸~835×10⁸kW·h之间，逐月最大生态缺水率大致处于24%~48%之间；多目标调度所得最优方案能较好地协调生态和发电需求，在尽量兼顾下游生态流量需求的基础上，发电效益可比设计目标增加约4.07%。

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蒋定国（1980-），男，博士、副教授，研究方向为水利水电工程生态环境调控，E-mail：jiang_dingguo@ctg.com.cn

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蒋定国（1980-），男，博士、副教授，研究方向为水利水电工程生态环境调控，E-mail：jiang_dingguo@ctg.com.cn

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