Eutrophication assessment by Entropy-Cloud Model

被引：0
|
作者：
Liu, Deng-Feng [1 ]
Wang, Dong [1 ]
Ding, Hao [2 ]
Wang, La-Chun [3 ]
机构：
[1] Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing
[2] Taihu Basin Authority, Shanghai
[3] School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2014年 / 45卷 / 10期
关键词：
AHP; Cloud model; Eutrophication evaluation; Information entropy; Water environment;
D O I：
10.13243/j.cnki.slxb.2014.10.010
中图分类号：
学科分类号：
摘要：
An Entropy-Cloud Model was proposed to deal with the eutrophication assessment based on entropy and cloud model theory. Parameters of the Cloud Model of each eutrophication level were calculated withthe chosen indicators; and hybrid entropy weight swere determined based on Shannon entropy and AHP to generate an Entropy-Cloud Model of all indicators. Certainty degrees of each level were calculated by the Entropy-Cloud Model; and the fuzzy entropy of certainty degrees was calculated to indicate the complexity of eutrophication. Eutrophication of 12 lakes and reservoirs were assessed by the Entropy-Cloud Model. Comparative studies with variable fuzzy sets, artificial neural network and normal cloud model show that the Entropy-Cloud Model is effective and intuitive, which can assess the eutrophication from two aspects of level and complexity. Different from other methods, this model provides a new way of eutrophication assessment. ©, 2014, China Water Power Press. All right reserved.
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页码：1214 / 1222
页数：8
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