Article(id=1223201253556081065, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221769, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661356800000, receivedDateStr=2022-08-25, revisedDate=1663862400000, revisedDateStr=2022-09-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563504828, onlineDateStr=2026-01-28, pubDate=1690214400000, pubDateStr=2023-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563504828, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563504828, creator=13701087609, updateTime=1769563504828, updator=13701087609, issue=Issue{id=1223201250133524577, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='7', 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=1769563504012, creator=13701087609, updateTime=1769563583713, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223201584469885927, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223201584469885928, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=54, endPage=58, ext={EN=ArticleExt(id=1223201255204442560, articleId=1223201253556081065, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Hydrodynamic Optimization and Water Quality Improvement of Yilong Lake Based on MIKE21, columnId=1223185960926564679, journalTitle=Water Resources and Power, columnName=HYDROLOGY，WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Lakes are highly susceptible to eutrophication due to their long-term closed or semi-closed status and poor hydrodynamic conditions. This paper constructed a hydrodynamic-convective diffusion model with MIKE21 software by considering the influence of rainfall on the spatial and temporal distribution of TN concentration in the Yilong Lake. The model simulated the hydrodynamic conditions under different inlet opening and closing conditions and different flow diversion schemes. The improvement of TN concentration based on the flow velocity distribution of the lake flow field was discussed. The results show that the hydrodynamic conditions and the water quality of the lake can be effectively improved by setting up water diversion inlets and increasing water diversion flow. The overall effect of diverting water from the Chenghe alone is better than diverting water from the Chenghe and Longgang River together. Under the scheme of separate diversion from the Chenghe, when the water diversion flow was double, the overall flow rate of the lake was increased by 44.04% and the TN concentration decreased by 52.78%, with the best effect of hydrodynamic optimization and water quality improvement, but the efficiency of water quality improvement per unit of water recharge is reduced. This research could provide some references for similar projects.

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湖泊由于长期处于封闭或半封闭状态，水动力条件差，极易发生富营养化。为此，综合考虑降雨对异龙湖湖泊TN浓度的时空分布影响，构建了MIKE21水动力—对流扩散模型，模拟了不同入水口启闭情况和不同流量引水方案下的水动力条件，基于湖泊流场的流速分布探究了TN浓度的改善情况。结果表明，增设引水口和增大引水流量均能有效提升湖泊水动力条件与湖区水质，城河单独引水的整体效果比城河和龙港河共同引水的整体效果好；在城河单独引水的方案下将引水量增大1倍，湖泊整体流速提升了44.04%，TN浓度下降52.78%，水动力优化与水质改善效果最好，但单位补水量的水质改善效率有所降低。研究结果可为类似在建及规划项目提供建设思路。

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马铁梅（1997-），女，硕士研究生，研究方向为水力学及河流动力学，E-mail：2298230068@qq.com

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马铁梅（1997-），女，硕士研究生，研究方向为水力学及河流动力学，E-mail：2298230068@qq.com

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