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基于因子分析的供水管网健康状态评价指标遴选 被引量:5

Selection of evaluation indicators for water supply network health status based on factor analysis
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摘要 为筛选出代表性强、敏感度高的指标用于供水管网健康状态评价,对11个供水管网健康状态评价指标进行层次划分,并基于因子分析进行贡献度计算和敏感性分析。层次划分结果表明,评价体系包括外部环境对管道静态结构影响因素、管道内部静态结构影响因素、水质影响因素、水力影响因素;贡献度和敏感度分析结果表明,内外衬层、管径、节点流量与总流量比值、余氯、节点压力与服务最低压力比值、覆土厚度、管材、管龄8个指标应该作为基础的必选指标,并且应尽量提高内外衬层、管径、节点流量与总流量比值、余氯、覆土厚度、管龄数据的精度。 In order to select highly representative and sensitive indicators for water supply network health status evaluation,11 water supply network health status evaluation indicators were analyzed by hierarchy process,and the contribution calculation and sensitivity analysis were carried out based on factor analysis method.The results of analytic hierarchy process show that the evaluation system includes external environment influencing factors on the static structure of the pipeline,internal static structure influencing factors of the pipeline,water quality influencing factors and hydraulic influencing factors.The results of contribution and sensitivity analysis show that the eight indicators of inner and outer lining,pipe diameter,ratio of node flow to total flow,residual chlorine,ratio of node pressure to minimum service pressure,soil cover thickness,pipe material and pipe age should be taken as the basic required indicators,and the data accuracy of inner and outer lining,pipe diameter,ratio of node flow to total flow,residual chlorine,soil cover thickness and pipe age should be improved as much as possible.
作者 丁相毅 石小林 凌敏华 黄泽 安琪 刘思然 DING Xiangyi;SHI Xiaolin;LING Minhua;HUANG Ze;AN Qi;LIU Siran(Department of Water Resources,China Institute of Water Resources and Hydropower Research,Beijing 100038,China;School of Water Conservancy and Engineering,Zhengzhou University,Zhengzhou 450001,China;College of New Energy and Environment,Jilin University,Changchun 130012,China)
出处 《水资源保护》 CAS CSCD 北大核心 2021年第6期67-73,共7页 Water Resources Protection
基金 国家重点研发计划(2016YFC0400605)。
关键词 供水管网 健康状态评价指标 敏感度 贡献度 因子分析 water supply network health status evaluation indicator sensitivity contribution degree factor analysis
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