几种水质评价方法的比较

hina is a serious drought and water shortage country and so it is of great significance to assessment of water quality. This paper introduces the common method for water quality evaluation: single-factor method, fuzzy comprehensive evaluation method and neural network method. Then submitted a support vector machine method, which integrated the pollution index. This method is more reasonable than other methods from view of the principle and practical. Through analysis of simulation, the evaluation results of eight plateau lakes in Yunnan which used SVM integrated the pollution index is closer to reality, and so it is an effective and feasible method of water quality evaluation.