The Eutrophication Evaluation of Dongting Lake Based on Support Vector Machine

摘要

It was built a support vector machine evaluation model to evaluate the eutrophication of Dongting Lake, based on the better generalization ability of support vector machine. For evaluation criterion, it was trained the support vector machine with 50 training sample sets formed by uniform distributed random function and comprehensively evaluated the water eutrophication degree of Dongting Lake. The results show that the water of Dongting Lake is in the medium eutrophication level in the recent ten years; the eutrophication level is highest in the West Dongting Lake, and then is in the South Dongting Lake and lowest in the East Dongting Lake.