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海绵城市绩效评价及障碍因子分析:以镇江市为例 被引量:1

Performance evaluation and obstacle factor analysis of sponge city:a case study of Zhenjiang City
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摘要 随着城市建设的快速发展,城市生态环境保护、水资源循环利用以及海绵城市的建设与评价已成为大家关注的热点﹒本文以海绵城市建设绩效为分析重点,确定了其绩效评价指标体系;运用组合赋权-TOPSIS法和障碍度模型测算海绵城市绩效水平,并诊断各时段影响海绵城市建设绩效的障碍因子;以镇江市为例进行研究,并据此提出了海绵城市建设的对策与建议﹒结果表明:镇江市海绵城市建设绩效整体上升,2015―2020年绩效指数从0.051提高到了0.937,经历了由低级水平―中级水平—良好水平—优质水平的发展过程;影响该市2020年建设绩效的主要障碍因子依次是地下水占比、雨水资源利用量、地下水质量达标率、海绵城市知识普及程度和技术规范与标准. With the rapid development of urban construction,the protection of urban ecological environment,the recycling of water resources,and the construction and evaluation of sponge cities have become the focus of attention.Focusing on the analysis of the construction performance of sponge city,this paper determines its performance evaluation index system,calculates the performance level of sponge city by using combination weighting-TOPSIS method and obstacle degree model,and diagnoses the obstacle factors that affect the construction performance of sponge city in different periods.Taking Zhenjiang City as an example,it puts forward some countermeasures and suggestions for the construction of sponge city.The results show that the construction performance of Zhenjiang Sponge City has risen as a whole,and the performance index has increased from 0.051 to 0.937 from 2015 to 2020,which has experienced a development process from low level to intermediate level,good level to high quality level.The main obstacle factors affecting the construction performance of the city in 2020 are the proportion of groundwater,the utilization of rainwater resources,the up-to-standard rate of groundwater quality,the degree of knowledge popularization and technical norms and standards of sponge city.
作者 厉小云 周盛世 郑伟 LI Xiaoyun;ZHOU Shengshi;ZHENG Wei(School of Management Engineering,Qingdao University of Technology,Qingdao,Shandong 266520,China)
出处 《湖南城市学院学报(自然科学版)》 CAS 2023年第5期57-61,共5页 Journal of Hunan City University:Natural Science
关键词 海绵城市 组合赋权 TOPSIS评价模型 障碍度模型 sponge city combination empowerment TOPSIS evaluation model obstacle model
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