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《Water Resources and Power》 2010-04
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Research on Intelligent Evaluation of Lake and Reservoir Eutrophication Based on WEKA

YI Zhongqiang1,2 LIU Defu1,2(1.College of Water Conservancy and Environment,China Three Gorges University,Yichang 443002,China;2.Engineering Research Center of Eco-environment in Three Gorges Reservoir Region of Ministry of Education,China Three Gorges University,Yichang 443002,China)  
Based on WEKA platform,the intelligent model for assessment of eutrophication is developed by three kinds of machine learning classification algorithms.The nutrient status of twenty-four representative lakes and reservoirs in China are evaluated and analyzed comparatively using the proposed models.The results show that the proposed models have high resolution in grading eutrophication of lakes and reservoirs.Especially,the modeling method is simple to calculate speed and can be easily achieved without programming.Thus,the simple and effective methods had good application value in the field of lake and reservoir eutrophication assessment,and the research results provid scientific reference for the non-computer science researchers.
【Fund】: “十一五”国家科技支撑计划基金资助项目(2008BAB29B09);; 国家水体污染控制与治理科技重大专项子课题基金资助项目(2008ZX07104-004)
【CateGory Index】: TV213.3
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