Nonlinear Characteirstics Of The Water Environment And Water Quality Prediction Research Of The Huaihe River Of Anhui Bengbu

Water environment management includes water quality management and waterresources management. Water environment system is a complex dynamic system exchangingmaterials and energy with the outside world continuously. It has the attributes of the complexity. Theinternal mechanism and external environment effects and mechanism of action of and between theinterior and exterior of the interaction and coupling mechanism is not clear. The use of traditionalmethods is very limited to study water environment management, Huaihe is an open nonlinearsystem, it has a certain theoretical and practical significance to study the nonlinear characteristics ofthe water environment and select the appropriate methods of water quality forecast.Based on the analysis of nonlinear characteristics of river water environmental system, takingHuaihe in Bengbu as an example, the study on single factor and multiple factors prediction of theriver water quality is carried out.（1）The main pollution factors of river are extracted. Based on the rough set theory, theapproximation classified method for uncertain problems is used. Through the analysis of the waterquality data and its classification relationship of the monitoring points in the Huaihe River, the mainpollution factors and their contribution rate of causing the Huaihe river pollution are determined.（2）Analysis on river pollutant changing trends and mutation characteristics. River pollutantconcentration of time sequence has certain annual change law, river pollutant concentrationmutations of time sequence are often more important part of information, often are the state points ofserious pollution. It is of great significance to analysis mutation characteristics of river pollutantconcentration of time sequence. Example with Bengbu paragraph in Huaihe River, the river pollutantchanging trends and mutation characteristics are analyzed by using wavelet analysis for riverpollutant concentration of time series. It has very important significance to further forecast andcontrol river pollutant.（3）Prediction of the single pollution factor. The nonlinear time series forecasting and trackprediction are considered very effective even if using small amount of data. Some certainty things ofevolution process are saved with fractal interpolation functions interpolating in historical records. Itbrings some convenience to water prediction. From the prediction results, it is feasible to usevariable dimension fractal theory for water quality prediction, and the calculating speed andprecision are high.（4）Prediction of the multi pollution factors. River water quality pollution is oftenmultifactorial pollution system, there are synergistic and antagonistic effects between the pollution factors. In this paper, WNN model is used to simulate the multifactorial water pollution system andpredict multifactorial water quality. WNN is a new neural network model constructed with wavelettheory, which combines the time-frequency characters of wavelet transform and the function ofneural network, thus it has the strong approximation and fault tolerance capability. WNN has betterproperties than the traditional neural network.（5）Improved prediction of the multi pollution factors. In this paper, the improved QGA-BPmodel is used in the complex river pollution system, with comprehensive utilization of the betterglobal convergence properties of quantum computation, quantum entanglement and geneticalgorithm, and with comprehensive utilization of the adaptive large-scale parallel processing and fastlearning ability of the BP neural network, so that the BP neural network optimized with the quantumgenetic algorithm is better than the traditional algorithm, it has stronger parallel processing abilityand faster convergence speed. The simulation results show that the improved QGA-BP algorithm isbetter than other BP algorithm, the improved algorithm has better prediction efficiency, and theoperation is not divergent.In this article, series of algorithm improvement and integration strategy are studied withnonlinear algorithm analysis and fusion, in order to find efficient and quick solution. A variety ofalgorithm is applied for higher-dimensional function optimization and optimizing performanceanalysis of complex system model. It has important theoretical and practical significance to solveevaluation, classification, prediction and decision-making for Huaihe river environmental system inBengbu.