Eutrophication Evaluation of Lake Based on Cloud Model

Fan Xiu Li; Mian Lu; Shao Jin Yi

doi:10.4028/www.scientific.net/AMR.955-959.1653

Paper Titles

Ecological Security Research of the Northern Slope of Qinling Mountains under the Impact of Tourism Activities
p.1634

Environment Impact Assessment on Hill Bay Spring Home Construction in Hainan Province
p.1640

Environmental Impact Assessment on the Project of Aulidan Lubricating Oil Plant in Jieyang
p.1644

Environmental Impact Study on the Residual Chlorine Diffusion during the Intake-Outlet Project of LNG Wharf
p.1648

Eutrophication Evaluation of Lake Based on Cloud Model
p.1653

Integrating Climate Change Consideration into Strategic Environmental Assessment within the Context of China
p.1657

Methods of Determining the Atmosphere Environment Impact Factors of Natural Draft Cooling Towers
p.1661

Research of Poyang Lake Conservancy Project Hub Influence to Iron and Manganese of Groundwater
p.1665

Research on Measures to Strengthen Environmental Risk Management of Chemicals in Jiangsu Province
p.1670

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Eutrophication Evaluation of Lake Based on Cloud Model

Abstract:

Considering the fuzzy and stochastic feature in assessment, a new assessment model based on cloud theory is proposed. The new model can realize greatly the conversion from qualitative conception to quantitative model. Taking the new model into evaluating water quality of lake eutrophication, the evaluation model based on cloud theory can not only show the fuzzy feature of grade, but also indicate random attribute of membership. The method is developed to evaluate lake eutrophication status, and the results show that the new evaluation model is feasible and can effectively evaluate eutrophication level.