Comprehensive Evaluation And Forecast Of Typical Reservoir Water Quality In Changchun City

Based on the measured data of Xinlicheng reservoir,Shitoukoumen reservoir and Xingxingshao reservoir in Changchun City,the water quality of three typical reservoirs in Changchun City was evaluated.Based on the comprehensive evaluation,chlorophyll-a and the comprehensive trend of water quality in Xinlicheng reservoir was predicted.Firstly,according to the water quality of the reservoir,the fuzzy comprehensive evaluation method and the BP neural network evaluation method are selected in the comprehensive water quality evaluation methods.The two methods are more credible to the water quality evaluation results.Evaluation of the water quality situation,in the evaluation process,the method carried out in line with the actual water quality improvement,and achieved good results.The results show that the three typical reservoirs in Changchun City are in the mild eutrophication of most of the time.The eutrophication of Xinglicheng reservoir in 2007 and Xingxingshao Reservoir in 2014 is high.At the same time,there are two points found.The degree of eutrophication has a certain delay compared with the occurrence of water-bloom.Second,the water-bloom in Changchun area is affected by temperature and precipitation.For the prediction of Xinlicheng reservoir water quality,the traditional BP neural network prediction method is not only cumbersome,but also requires a lot of time to carry out network simulation training,and the prediction results are very unstable.Based on the principle of wavelet denoising,the BP neural network is used to predict the data.It is found that the prediction results of wavelet denoising data are better for Xinlicheng reservoir,and the prediction accuracy is better.At the same time,It is best to predict the data after wavelet noise reduction.The results show that the water body is in the degree of mild eutrophication and has the risk of water-bloom.