南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (5): 879–.

• • 上一篇    下一篇

 基于改进的粗糙集-云模型的水质评价方法

 卢 媛,王 栋*,刘登峰,王远坤   

  • 出版日期:2017-09-25 发布日期:2017-09-25
  • 作者简介: 南京大学地球科学与工程学院,南京,210023
  • 基金资助:
     基金项目:江苏省太湖水环境综合治理科研项目(TH2014307)
    收稿日期:2017-03-15
    *通讯联系人,E-mail:wangdong@nju.edu.cn

 Water quality evaluation method using improved rough set-cloud model

 Lu Yuan,Wang Dong*,Liu Dengfeng,Wang Yuankun   

  • Online:2017-09-25 Published:2017-09-25
  • About author: School of Earth Science and Engineering,Nanjing University,Nanjing,210023,China

摘要:  针对水质评价中不确定性特点,引入粗糙集和云模型理论,对我国12个代表性湖库的富营养化程度进行评价.根据既定的评价因子指标,确定相应于各富营养化等级的云模型参数,并生成各评价因子隶属于各富营养化等级的综合云模型,基于改进的粗糙集条件信息熵计算各指标的权重,构建指标体系下的改进的粗糙集-云模型.代入实测资料,计算实测水体隶属于各富营养化等级的确定度,以最大确定度作为水体的营养化级别.将该方法所得结果与单一指标法、模糊可变集法、正态云模型、Gamma-云等方法进行了对比,评价结果直观有效,验证了该方法的有效性,为水体富营养化评价提供了新思路.

Abstract:  Considering the uncertainty in water quality evaluation,this study introduces the theory of improved rough set-cloud model to evaluate the eutrophication degree of 12 representative lakes and reservoirs in China.The parameters of the cloud model corresponding to each eutrophication level can be calculated with the established evaluation factors,and the evaluation factors belong to the comprehensive cloud model can be generated.Based on the improved rough set condition information entropy,the weight of each index is calculated,and the improved rough set-cloud model is constructed.The final eutrophication level can be determined with the maximum degree calculated by the model.Results are compared with single index method,fuzzy variable set method,normal cloud model,Gamma-Cloud,which verifies the validity of the method.The improved rough set-cloud model is intuitive and effective,and can provide a new method for the eutrophication evaluation.

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