A WATER QUALITY ASSESSMENT MODEL FOR TROPHIC STATE BASED ON B-P NEURAL NETWORK AND ITS VERIFICATION
基于B－P网络的水质营养状态评价模型及其效果检验

Taking three trophic states of water quality corresponding to TSIc 0, 50, 100 as three modeling samples,and the water quality parameters of chl-a, TP, TN and SD as input pa-rameters,a model of water quality assessment for trophic state based on B-P neural network was developed.Verification of trophic state assessment for water quality of 30 lakes in China was conducted as well.