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Today, under the conditions of negative effects of the influence of natural and, especially, anthropogenic factors on the natural environment, automated systems for monitoring the state of the environment are spreading. The purpose of the work is to develop an analytical decision support system based on the results of forecasting indicators of surface water pollution of the city Lviv. To analyze and forecast the indicators of surface water pollution in Lviv, a trained neural network was created using the Python pr...