基于SE-DEA模型的流域水资源利用效率时空分布及制约因素分析  被引量:3

Spatial Distribution Analysis on Chaohu Lake Basin Water Utilization Efficiency and its Factor Identification Based on SE-DEA Model

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作  者:潘争伟 邱莹莹 周戎星[3] 汪艳芳[1] PAN Zheng-wei;QIU Ying-ying;ZHOU Rong-xing;WANG Yan-fang(School of Civil and Hydraulic Engineering,Bengbu University,Bengbu 233030,China;School of Civil Engineering and Environmental Engineering,Anhui Xinhua University,Hefei 230088,China;School of Civil Engineering,Hefei University of Technology,Hefei 230009,China)

机构地区:[1]蚌埠学院土木与水利水电工程学院,安徽蚌埠233030 [2]安徽新华学院土木与环境工程学院,安徽合肥230088 [3]合肥工业大学土木与水利工程学院,安徽合肥230009

出  处:《数学的实践与认识》2020年第13期16-24,共9页Mathematics in Practice and Theory

基  金:国家重点研发计划项目(2017YFC1502405);蚌埠学院自然科学研究项目(2018ZR01,2017ZR21)。

摘  要:提高水资源利用效率是解决水资源短缺的有效途径,水资源利用效率研究已成为水科学研究的热点问题.应用SE-DEA模型对流域水资源利用效率进行分析基础上,采用Malmquist指数及其分解模型之一,对流域水资源利用效率开展时空分布分析及制约因素识别分析,并应用于巢湖流域水资源利用效率分析.结果表明,①巢湖流域水资源利用综合效率由上游(西部区域)向下游(东部区域)逐渐降低;②2011-2015年巢湖流域水资源利用效率总体呈衰退趋势,规模效率是巢湖流域水资源效率的主要制约因素,应加大投入,形成流域水资源利用的规模效应,不断提高流域水资源效率,促进巢湖流域水资源可持续利用.Improving the water utilization efficiency is an effective way to solve water problems,so that is become a hot issue in water science research.Using the input and output data of Chaohu lake basin,and the SE-DEA model is used to spatial distribution analyze the watershed water utilization efficiency,and then the Malmquist index model is used to time series analyze.Finally,the cause of efficiency change is discussed based on the Malmquist index decomposition.The results showed that,the comprehensive efficiency of water utilization in Chaohu lake basin is gradually decreasing from the upstream(western region)to the downstream(eastern region),and it is generally declined in 2011-2015.Scale efficiency is the main restriction factor of water utilization efficiency in Chaohu lake basin.Therefore,to improve the water utilization efficiency should increase its input form scale effect,thus promote the sustainable utilization of water resources in Chaohu lake basin.

关 键 词:SE-DEA模型 MALMQUIST指数 水资源利用效率 巢湖流域 

分 类 号:TV213[水利工程—水文学及水资源]

 

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