ShanXi Province Urban Sewage Water Quality And Water Resources Of The Forecast

Shanxi Province is our country water scarcity one of most serious provinces, The water resources created the ground water to be at the excessive mining condition for a long time short, Therefore must through saving water, pilot the way solution water resources short question which and tap new resources and reduce expenses, to saves the water resources, reduces the enterprise production cost, enhances the enterprise economy, the construction harmonious society has the extremely obvious economic efficiency, the social efficiency and the environment benefit. But Shanxi Province starts the sales commission sewage treatment plant processing sales commission water volume insufficient entire province scale 10%, after the such massive processing two water white whitecap spent. At the same time our province and has proposed the construction of urban sewage treatment plants, there are still many problems. City sewage treatment plant which the design of water quality, water often vary greatly with the reality is the most important one. This topic through studies the Shanxi Province sewage withdrawal the rule and each kind of model characteristic, the establishment suits the Shanxi Province sewage the withdrawal and the water quality forecast model, thus achieves the city sewage the government and the city sewage converting into resources dual goals.This paper in reference to the existing water quality, water forecasting model on the basis of, and analysis and sewage emissions in Shanxi Province with the law, mainly its water resources considered as a second, the establishment of the water quality, water model(1) The influence sewage withdrawal factor are very many.Grey correlation analysis to determine access to the regression model variables, the regression model, as far as possible reflect the true system of the future projections of the actual situation, improve forecast accuracy. On this basis, the optimization of a multiple linear regression model. Then GM (1,1) model into the process of regression model projections, Gray model and achieved a regression model of complementary, C_n^m can create a regression model, the form of the following forms:Y=β₀+β₁X₁+…+β_mX_mThen one by one through target and so on correlation coefficient, F statistics, t statistics and DW statistics examinations screens the most superior multi dimensional return model, Thus has established the gray - multi-dimensional return model. (2) As Shanxi Province, the water quality of information related to the information does not, water sample data information is not in fact constitute a complete system of the basic characteristics of gray. According to Gray mathematical principle, the establishment of a grey GM (1,1) model, the model of the form are as follows:Then after a post-mortem of poor accuracy of the model.In order to ensure sewage treatment plants in Shanxi Province the future effective, economic operation, the subject of its water quality, water conducted a survey and forecast. Comprehensive various factors, all of the cities and counties in Shanxi Province in 2020 the water quality and quantity to the forecast. With the calendar year comparison of the actual statistical data that can better forecast and in line with statistics...