文章摘要
陈 卓, 唐德善.长株潭区域河流幸福度等级评价研究Journal of Water Resources and Water Engineering[J].,2021,32(5):84-91
长株潭区域河流幸福度等级评价研究
Evaluation of river happiness in Changzhutan region
  
DOI:10.11705/j.issn.1672-643X.2021.05.12
中文关键词: 幸福河  组合权重  改进灰色TOPSIS模型  长株潭区域
英文关键词: happy river  weight combination  improved grey TOPSIS model  Changzhutan region
基金项目:国家重点研发计划项目(2017YFC0405805-04)
Author NameAffiliation
CHEN Zhuo, TANG Deshan (河海大学 水利水电学院 江苏 南京 210098) 
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中文摘要:
      为科学评价区域河流幸福度等级,从防洪保安全、优质水资源、健康水生态、宜居水环境、先进水文化、绿色水产业和文明水管护7个方面选取21个指标构建区域河流幸福度等级评价体系并建立评价模型。通过云模型、熵权法确定指标的主、客观权重,利用逼近理想解排序法和灰色关联度分析组合形成改进灰色TOPSIS模型,计算多个指标和研究对象的综合贴近度,判断所属幸福度等级。采用该模型对长株潭及周边7个城市的典型河流进行幸福度等级评价。结果表明:各地区河流幸福度仍有较大差距,部分指标反映的问题具有普遍性,与其实际情况相符,表明所建立的评价模型具有可行性。评价结果及建议对长株潭区域的幸福河创建工作具有指导意义。
英文摘要:
      In order to evaluate the happiness level of regional rivers, 21 indicators are selected from seven aspects including flood control and safety, high quality water resources, healthy water ecology, livable water environment, advanced water culture, green aquaculture and civilized water management, with which a regional river happiness evaluation system was constructed and then introduced to the evaluation model. In this model, the subjective and objective weights of the indicators are determined by cloud model and entropy method, and an improved grey TOPSIS model is established based on the combination of TOPSIS and grey relational analysis to calculate the comprehensive closeness of multiple indicators and research objects, so as to estimate their individual degree of happiness. This model was then applied to the evaluation of the typical rivers in Changzhutan region and seven cities in the periphery. The evaluation results show that the river happiness varies greatly in different regions, yet the problems reflected by some indicators are universal and are consistent with the actual situation, indicating that the proposed evaluation model is feasible. The evaluation results and recommendations can provide some reference for the cultivation of happy river in Changzhutan region.
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