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An important problem in assessing water quality is that the data on water pollution and their analysis are formed over the previous period, and as a result, it is difficult to assess the current status of water resources, the more likely it is to predict it for the future period, which would allow timely action on improvement of the ecological state of water. The purpose of the work is to evaluate the possibility of using neural networks to simulation of surface water pollution. The data are derived from the resul...