杨〓侃1,付澜清1,刘建林2,钟金华2,邱光树2,谷桂华3,赵〓敏1,梁永静1.云南省再生水综合发展影响因素敏感性分析[J].水电能源科学,2018,36(6):40-43
云南省再生水综合发展影响因素敏感性分析
Sensitivity Analysis of Influencing Factors of Comprehensive Development of Reclaimed Water in Yunnan Province
  
DOI:
中文关键词:  再生水  灰色关联度分析法  敏感性分析  物元分析法  AHP法  熵权法
英文关键词:reclaimed water  gray relational analysis  sensitivity analysis  matter element analysis  AHP method  entropy weight method
基金项目:云南省水利厅科技项目;国家重点基础研究发展计划(973计划)(2012CB417006);“十一五”国家科技支撑计划(2009BAC56B03)
作者单位
杨〓侃1,付澜清1,刘建林2,钟金华2,邱光树2,谷桂华3,赵〓敏1,梁永静1 1. 河海大学 水文水资源学院 江苏 南京 210098 2. 云南省水利水电学校 云南 昆明650000 3. 云南省水文水资源局 玉溪分局 云南 玉溪 653100 
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中文摘要:
      为研究云南省再生水综合发展各影响因素对再生水综合发展水平的影响程度,首先利用物元分析法计算经AHP法和熵权法综合赋权的再生水综合发展指标体系的综合关联度,其次利用灰色关联度分析法计算各影响因素依次变化时的综合关联度数值及各因素之间的相互灰色关联度,最后对各影响因素从大到小进行分级和排序,并确定各影响因素之间的联动关系。结果表明,一级指标中经济指标和经济影响指标是云南省再生水综合发展的第1梯队影响因素;二级指标中的GDP、工业总产值、系统综合净效益及边际效益是云南省再生水综合发展的第1梯队影响因素,新增自来水供水量和废污水排放量是第2梯队影响因素。
英文摘要:
      In order to study the influence degree of the comprehensive development of reclaimed water on the comprehensive development level of reclaimed water, the matter element analysis method was used to calculate the comprehensive correlation degree obtained by AHP and entropy weight method. And then the gray correlation degree analysis method was adopted to calculate the comprehensive correlation degree of each influencing factor and the gray correlation degree among each factor. Finally, the influence factors were ranked and graded from large to small, and the linkage between each factor was determined. Taking the Yunnan Province as an example, the calculation results show that the economic indicators and economic impact indicators of the primary indicators are the first echelon influencing factors of the comprehensive development of reclaimed water; In the second indicators, the GDP, the total industrial output value, the system comprehensive net benefit and the marginal benefit are the first echelon influencing factor of the comprehensive development of reclaimed water. The new water supply and waste water discharge are the second echelon influencing factors.
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