Article(id=1223193066836710047, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220633, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1648656000000, receivedDateStr=2022-03-31, revisedDate=1651161600000, revisedDateStr=2022-04-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561552961, onlineDateStr=2026-01-28, pubDate=1674576000000, pubDateStr=2023-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561552961, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561552961, creator=13701087609, updateTime=1769561552961, updator=13701087609, issue=Issue{id=1223193053830169317, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='1', 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=1769561549861, creator=13701087609, updateTime=1769567790701, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219229885857794, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219229885857795, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=73, endPage=76, ext={EN=ArticleExt(id=1223193067734291159, articleId=1223193066836710047, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis and Optimization of Drainage Capacity in Hangzhou Airport Based on MIKE11, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

Plain river network, especially near the airport area, has complex hydrological structure, and the flood control and drainage are very important. Taking the Hangzhou International Airport as an example, one-dimensional hydrodynamic model of the river network was built based on MIKE11. The current situation of drainage was analyzed through different startup conditions of the existing drainage pumping station, and the optimization and promotion plan was proposed. The result indicates that the overall drainage capacity of the West Work Area of Hangzhou Airport cannot meet the standard of “once in 20 years”, which needs to be optimized for drainage. Under comprehensive consideration, it is recommended to use strong drainage instead of regulation and storage, and adopt the drainage idea of "mainly strong drainage, combined with regulation and storage" to form an overall drainage pattern of "backbone river channel + strong drainage pumping station".

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平原区河网尤其在机场处具有复杂的水文结构，防洪排涝工作至关重要。以杭州萧山机场为例，采用MIKE11构建一维河网水动力模型，通过已有排水泵站的不同开启工况分析其排涝现状，并针对其现状提出相应的优化提升方案。结果表明，杭州萧山机场西工作区现状整体排涝能力达不到20年一遇标准。在排涝优化提升方面，建议使用强排换调蓄，采用“强排为主，调蓄结合”的排涝思路，形成“骨干河道+强排泵站”的排涝总体格局。

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李博通（1990-），男，硕士、工程师，研究方向为水利规划，E-mail：libotong2008@126.com

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李博通（1990-），男，硕士、工程师，研究方向为水利规划，E-mail：libotong2008@126.com

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