Study On The Applications Of The Water Environment Model In Baotou Section Of The Yellow River Based On Artificial Neural Network

Yellow River is one of most multi-sediment-laden river in the world. The soil erosion is serious because of its fragile ecological environment of the upper and middle reaches of the Yellow River coupled with the disorder in the development of water resources. There was a severe effect on the water resource environment of the middle and lower reaches region of the Yellow River whose water quality had further deterioration because of the territory of another by municipal wastewater, industrial wastewater non-ferrous metals, and paper industrial wastewater pollution when it entered Baotou City. The water quality management of results and future trends of Baotou Section of the Yellow River has become very concerned about the issue, therefore, it is particularly important to accurate evaluate and forecast the conditions of the water environment.In this paper, the Baotou Section of the prediction of the Yellow River water quality monitoring sections related indicators and statistical manual neural network model was established with the use of the DO, COD, ammonia nitrogen, heavy metals, such as the concentration of water quality objectives for 10 values of output parameters that were easy to collect the water quality indicator concentration time series as a training set. And it was used to evaluate the water quality with satisfactory results and Initial examinations of the practical value of the model, the establishment of a water quality model is simple and practical to meet the supervision and management of water resources protection needs, but also it could carry out similar work experience for the future of the Yellow River.Zhaojun tomb monitor area of Baotou Section of the Yellow River as a test section water quality data set has been established on the BP network tested, BP network comprehensive evaluation of water quality in line with reality, than any other evaluation method has higher accuracy, but the water quality category will be more quantify. The water samples obtained at or near the water quality of the type of fall. This type of water that is more objective, comprehensive evaluation of water quality testing BP network to the water quality of category examples of evaluation results to make more specific and accurate.