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彭欣雨, 唐德善.基于组合权重-理想区间法的河长制实施效果评价模型及应用研究水资源与水工程学报[J].,2020,31(2):50-56
基于组合权重-理想区间法的河长制实施效果评价模型及应用研究
The evaluation model and its application of the river chief system based on the combined weight-ideal interval method
  
DOI:10.11705/j.issn.1672-643X.2020.02.08
中文关键词:  河长制  组合权重  理想区间法  层次分析法  实施效果  评价模型  陕西省
英文关键词:river chief system  combined weight  ideal interval method  analytic hierarchy process (AHP)  implementation effect  evaluation model  Shaanxi Province
基金项目:国家重点研发计划项目(2017YFC0405805-04)
作者单位
彭欣雨, 唐德善 (河海大学 水利水电学院 江苏 南京 210098) 
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中文摘要:
      从水资源保护效果、水污染防治效果、水环境整治效果、社会民生效果、执法监督效果5个方面选取15个评价指标构建了河长制实施效果评价指标体系,根据得到的评价标准,建立了基于组合权重-理想区间法的河长制实施效果评价模型,采用层次分析法和客观权重求得组合权重,根据理想区间法评价河长制实施效果。利用该模型对陕西省2012-2018年的河长制实施效果进行评价,采用主客观权重相结合的组合权重,计算结果更稳定、合理、科学。结果表明:陕西省的河长制实施效果逐年提高,并在2017年达到优,与实际情况相符合,2018年河长制实施效果进一步得到优化。该模型针对河长制实施效果评价具有普遍适用性。
英文摘要:
      To evaluate the river chief system implementation effect, we selected 15 evaluation indexes from five aspects, namely the effects of water conservation, the effects of water pollution prevention and control, the effect of water environment improvement, the effect of people’s livelihood and the effect of law enforcement and supervision. According to the obtained evaluation standard, we built up an evaluation model for the implementation of river chief system based on the combined weight-ideal interval method. With this model, the analytic hierarchy process (AHP) method and objective weight method were used to obtain the combined weight, and ideal interval method was used to evaluate the implementation effect of the river chief system. This model was then used to evaluate the river chief system implementation effect of Shaanxi Province in 2012-2018. Through the adoption of combined weight which took advantage of both subjective and objective weights, more stable, reasonable and accurate results were obtained. The results showed that the implementation effect of Shaanxi Province improved year by year, and it reached excellent level in 2017, which was consistent with the actual situation. The implementation effect of the river chief system was further optimized in 2018. It is proved that this model has universal applicability for the evaluation of the implementation effect of the river chief system.
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