Article(id=1223196806981469021, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221805, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661875200000, receivedDateStr=2022-08-31, revisedDate=1664208000000, revisedDateStr=2022-09-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562444682, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562444682, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562444682, creator=13701087609, updateTime=1769562444682, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=35, endPage=38, ext={EN=ArticleExt(id=1223196808705328032, articleId=1223196806981469021, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Effect of Large-scale Ecological Water Replenishment on Infiltration Capacity of Beijing Section of Long-term Cut-off River Yongding River, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Aiming at the impact of large-scale ecological water replenishment (four times of ecological water replenishment in Beijing section of Yongding River) on the long-term cut-off river, a MIKE 11 hydrodynamic model was established. The variation characteristics of runoff and infiltration capacity before and after water replenishment were quantitatively evaluated by scenario simulation analysis. The results show that the inflow runoff sequence of Guanting Reservoir can be divided into three stages: natural stage, human weak interference stage and human strong interference stage. During the three ecological replenishment periods from 2019 to 2020, the flow of the main section of the Beijing section of Yongding River is much larger than the ecological flow of human strong interference stage. In the autumn of 2021, the loss of permeability coefficient and leakage of ecological water supplement was the lowest, indicating that the leakage of Yongding River was significantly reduced through three consecutive years of large-scale ecological water supplement. Taking the ecological replenishment in autumn of 2021 as an example, the fitting functions of channel storage and replenishment flow, submerged area and replenishment flow, submerged area and channel storage, permeability coefficient and replenishment flow were established, which can provide some guidance for the development of ecological replenishment in Yongding River. The results of this study can effectively guide the optimization and formulation of ecological water supplement scheme in the Beijing section of the Yongding River, and provide reference for the comprehensive management of the Yongding River Basin and the exploration of ecological restoration of long-term river courses in North China.

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针对大规模生态补水（永定河北京段4次生态补水）对长期断流河道的影响，建立了MIKE 11水动力模型，通过情景模拟分析量化评估了补水前后径流与入渗能力的变化特征。结果表明，官厅水库入库径流序列可分为天然、人类弱干扰、人类强干扰3个阶段，在2019~2020年3次生态补水期间，永定河北京段主要断面流量远大于人类强干扰阶段的生态流量；2021年秋季生态补水的渗透系数和渗漏量损失最低，表明通过连续3年的大规模生态补水，永定河的河道渗漏量明显减少；以2021年秋季生态补水为例，建立了槽蓄量与补水流量、淹没面积与补水流量、淹没面积与槽蓄量、渗透系数与补水流量的拟合函数，可为后续永定河生态补水的开展提供一定的指导。研究结果能有效指导永定河北京段生态补水方案的优化制定，为永定河流域综合治理和华北地区长期断流河道生态修复提供借鉴。

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^2.西安理工大学西北旱区生态水利工程国家重点实验室，陕西 西安 710048, bio={"content":"

苟少杰（1998-），男，硕士研究生，研究方向为水资源系统工程，E-mail：1220245100@qq.com

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苟少杰（1998-），男，硕士研究生，研究方向为水资源系统工程，E-mail：1220245100@qq.com

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