Article(id=1223201271688053209, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223201250133524577, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221750, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661270400000, receivedDateStr=2022-08-24, revisedDate=1664294400000, revisedDateStr=2022-09-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563509150, onlineDateStr=2026-01-28, pubDate=1690214400000, pubDateStr=2023-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563509150, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563509150, creator=13701087609, updateTime=1769563509150, 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=45, endPage=48, ext={EN=ArticleExt(id=1223201274422739645, articleId=1223201271688053209, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Spatial-temporal Analysis of Water Use Efficiency in Central Yunnan Urban Agglomeration, columnId=1223185960926564679, journalTitle=Water Resources and Power, columnName=HYDROLOGY，WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

In order to evaluate the water use efficiency of the central Yunnan urban agglomeration accurately, 14 indicators were selected from five aspects of comprehensive, industrial, agricultural, living and ecological water use, and the evaluation index system was constructed. The subjective weights were obtained by analytic hierarchy process. The entropy weight method was used to determine objective weights. The game theory method was adopted to get the combination weight. The TOPSIS evaluation model was established to calculate the relative closeness degree of water use efficiency and the closeness degree of each criterion layer in central Yunnan urban agglomeration from 2011 to 2020, and the national average data was added to the evaluation sample as the criterion for judging the results. The results show that in terms of spatial distribution, Kunming has the highest water use efficiency, followed by Qujing and Yuxi, both of which are at a good level, and Honghe and Chuxiong have the lowest water use efficiency, both of which are lower than the national average water use efficiency, at a poor level; In terms of time series, except for Qujing City, the overall water use efficiency shows an upward trend. Qujing City shows a downward trend before 2016 and slowly recovers in 2016. By analyzing the causes of the changes, this paper put forward the shortcomings of water use efficiency in each city, which can provide reference for improving water use structure and water use efficiency in central Yunnan urban agglomeration.

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为准确评价滇中城市群的用水效率，从综合、工业、农业、生活、生态用水5个方面选择14个指标，构建评价指标体系；采用层次分析法得主观赋权，熵权法得客观赋权，博弈论法得到组合权重；建立TOPSIS评价模型，计算滇中城市群2011~2020年用水效率相对贴近度及各准则层的贴近度，并在评价样本中加入全国平均数据作为结果优劣判别标准。结果表明，在空间分布上，昆明市用水效率最高，曲靖市、玉溪市次之，均为良好水平，红河州、楚雄州最低，且这两者低于全国平均用水效率，为较差水平；在时间序列上，除曲靖市外，总体上用水效率为上升趋势，曲靖市在2016年前为下降走向，2016年缓慢回升。通过分析其变化原因，提出了每个城市的用水效率短板，可为滇中城市群改善用水结构，提升用水效率提供参考。

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容祎（1996-），男，硕士研究生，研究方向为水文学及水资源，E-mail：1138193543@qq.com

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容祎（1996-），男，硕士研究生，研究方向为水文学及水资源，E-mail：1138193543@qq.com

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