Comprehensive Control Of Water Environment In JiNan Beisha River Based On Artificial Neural Network

Water environment in china has been very serious, mainly in the area of the sources of rivers soil erosion, eutrophication of water environment and urban systems in two major areas of water pollution. Water Pollution is not just an environmental issue, but has risen to a major economic, social, moral and survival issues. Recently, most of China's urban economy, culture and the people's living standards have made considerable progress, but urban river is subject to a more serious pollution to the comfort of city life have a significant impact on, for many cities to spend huge sums of money on the Some major rivers launched a comprehensive harnessing of the river cities.The important content of river basin environmental protection is comprehensive control of water environment. Comprehensive control o urban water environment is one of the most water conservancy construction,should carry regulation and development simultaneously out.Through the urban water environment and the realization of the comprehensive harnessing of the flood control, drainage, transport, ecology, tourism, cultural and other features of organic combination of urban flood-control capacity to enable the Centre have significantly improved urban water environment has markedly improved, City take on a new look.Based on the Beisha River Basin of the North's economic, social and environmental conditions, the analysis of the water environment in the region source of the sewage, sewage discharges, as well as water quality and quantity characteristics, the use of artificial neural network method for the Comprehensive Treatment optimization, and ultimately to the Beisha River treatment of specific measures. Beisha River through ecological environmental protection, and total pollutant control, small watershed management and unified control of water resources through measures such as repair of the water basin ecosystem. In the concrete manifestation of surface water and groundwater quality management, soil and water conservation and river valley areas.Water pollution characteristics of this method were used artificial neural networks and fuzzy comprehensive evaluation of two comprehensive evaluation method to evaluate the overall pollution in the water body, by comparison, is more suitable selected Beisha River Basin water quality of evaluation methods - BP neural network way out into the region's main water pollution characteristics.Research of Beisha River environment found, as artificial neural network is self-organizing, self-learning, adaptive, and other functions, so it is widely used in the field of optimization. In the water environment mainly used in water quality assessment, forecasting, planning optimization, particularly in the Water Environment Comprehensive Treatment Optimization System, Hopfield model with other methods do not have the advantages. It requires the Hopfield network energy function, corresponding to the requirements of its cost function can be carried out quickly search and find the lowest overall points, simplify the computation.Taking Beisha River water environmental comprehensive control as a example, based on the analysis of water environmental problem,the projects including internal and foreign sources control were taken out and applied DHNN model to optimize the projects.The result of this paper provided a method referenced for bringing foreward and optimizing the projects of city water envionmental comprehensive control and had some purport for improving water enviornmental quality and gudiing.