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In view of the defect of traditional water quality evaluation model, a probabilistic neural network (PNN) is developed to evaluate surface water quality in Jining. Probabilistic neural network is a new type neural network consisting Radical Basis network and compete neural network, which is simple in structure, easy for training and wide used. PNN model is applied to evaluate water quality at representative...
With the development of social and economic, the pollution in river is worse. It is very important to study river pollution. In view of the uncertainty of river water pollution, Velocity and dispersion coefficient and attenuation in river are considered as uncertainty parameters and expressed as grey parameters. One dimensional gray numerical water quality model is developed according to gray theory...
In view of the deficiency of classic method evaluating water quality. A grey relational analysis model is proposed to evaluate water quality in river. The principle of grey relational analysis and its process are introduced. Suzhou river was selected and assessed by using this method. And it was found that, compared with the fuzzy complex judgment method, the result was remarkably different. The possible...
In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, a new model of fuzzy neural network (FNN) comprehensive evaluation is developed to evaluate surface water quality in Suzhou. Fuzzy neural network is a new type neural network consisting radical basis network and compete neural network, which is simple in structure, easy for training and wide...
Study of non-Darcy seepage is one of the issues of groundwater resources. In this paper, theoretic and empirical laws for non-Darcy radial seepage in groundwater are systematically analyzed and summarized. On the basis of Darcy law, a new kind of seepage model is developed which includes Darcy flow and non-Darcy flow. By means of critical Reynolds number, radial seepage model is built. In this model,...
In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is...
Based on the grey theory, grey characters of river environment system are analyzed, the velocity and dispersion coefficient and attenuation in river are considered as uncertainty parameters and expressed as gray parameters. A grey differential equation of contaminant diffusion in river is built. And the equation has special structure. The truncation error of finite differential method in solving the...
In view of near-ground atmospheric problem, near-ground atmospheric pollution model was established. Because the applicability of analytical solutions is extremely limited for such conditions, and the distribution and transport of pollutants in air are controlled by geographical conditions, and numerical techniques are essential for air pollution modeling. In this paper, finite differential method...
This paper deals with the study of the water quality assessment through application of BP neural network. Water quality of Sanmenxia Reach in Yellow River is evaluated by using BP neural network and compared with grey clustering method. The result indicates that BP neural network model can resolve complicated non-linear relation between evaluating gene and water quality grade, and the method is convenient,...
The vulnerability is property that the structure and function of system are easy to be destroyed after certain external disturbances. The status of vulnerability study on water resources system at present has been pointed out. A new vulnerability assessment index system has been established. A fuzzy clustering method is used to evaluate the vulnerability classification of water resources system. An...
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