Article(id=1223204287904338882, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221393, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1657209600000, receivedDateStr=2022-07-08, revisedDate=1659801600000, revisedDateStr=2022-08-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1769564228273, onlineDateStr=2026-01-28, pubDate=1684944000000, pubDateStr=2023-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769564228273, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769564228273, creator=13701087609, updateTime=1769564228273, updator=13701087609, issue=Issue{id=1223204286050452333, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='5', 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=1769564227831, creator=13701087609, updateTime=1769567742010, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219026013323264, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219026013323265, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=144, endPage=148, ext={EN=ArticleExt(id=1223204289632392169, articleId=1223204287904338882, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Optimization of Spatial Allocation of Green Infrastructure Based on SPEA2, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

To maximize the cost-effectiveness of green infrastructure (GI) implementation, a pilot project in Guangzhou Tianhe Smart City was selected to conduct the study. Setting runoff volume reduction rate, suspended solids load reduction rate, and life cycle cost of GI as optimization objectives, SPEA2 was coupled with SWMM to obtain a series of GI optimal spatial allocation schemes with land utilization as the constraint condition. The results show that with the increase of the rainfall recurrence period, the integrated reduction rate and the range of the GI optimal spatial allocation scheme set gradually reduce. The sunken lawn (SL) is the most cost-effective GI while the green roof (GR) is the least. When the investment is low, the area of SL can be planned to the maximum before planning other GI. If the integrated reduction rate is high with sufficient funds, GR can be considered based on the large allocation area of other GI. The results can provide theoretical support for the implementation of the sponge city program.

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以广州市天河智慧城为研究区，针对绿色基础设施的最优成本效益问题，采用出水口径流总量及悬浮物负荷总量两者的综合削减率、绿色基础设施全生命周期成本为优化目标，设置土地利用现状为约束条件，选择SPEA2为优化算法耦合SWMM模型进行绿色基础设施空间布局优化计算。结果表明，随着降雨重现期增大，绿色基础设施最优空间布局方案的可选择范围和综合削减率均在减小。下凹式绿地的成本效益最好，绿色屋顶最差。当资金投入较低时，可优先将下凹绿地的面积规划为可布设最大值后再规划其余设施；若对径流量和污染物负荷量的削减要求较高且资金允许时，可在其余绿色基础设施面积较大的基础上考虑绿色屋顶的布设。研究成果可为海绵城市建设示范工作提供理论支撑。

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廖向华（1997-），女，硕士研究生，研究方向为水文水资源，E-mail：riruka97lxh@163.com

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廖向华（1997-），女，硕士研究生，研究方向为水文水资源，E-mail：riruka97lxh@163.com

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