Investigation of health assessment for lake ecosystem based on support vector machine (SVM)
基于支持向量机的湖泊生态系统健康评价研究

A health assessment model for lake ecosystem was proposed based on the strengths of support vector machine (SVM) on dealing with classification, small sample size, generalization and promotion. Meanwhile, a survey was conducted on the water quality and biological communities of Baiyun Lake, the largest artificial lake in Guangzhou city. Afterwards, the health assessment of Baiyun Lake ecosystem was evaluated with this model. It was demonstrated by the assessment results that the ecosystem of Baiyun Lake was in pathological state, and unable to function in purifying water. To improve the ecological system of Baiyun Lake, three methods were suggested including improving input water quality, cutting pollution sources and enriching biomass. Compared with two traditional evaluation methods (Entropy weight comprehensive health index method and Entropy weight fuzzy comprehensive evaluation method), this model is more objective and scientific on evaluating the health of lake ecosystem. It can provide scientific support for health management of lake ecosystem, therefore with a promising application prospect.