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Determining the effect of anthropogenic loading on the environmental state of a surface source of water supply
(Technology Center, 2020) Ponomarenko, R.; Пляцук, Леонід Дмитрович; Пляцук, Леонид Дмитриевич; Pliatsuk, Leonid Dmytrovych; Гурець, Лариса Леонідівна; Гурец, Лариса Леонидовна; Hurets, Larysa Leonidivna; Grigorenko, N.; Sherstiuk, M.; Miakaiev, O.
At present, even for a fairly large surface water object, the effectiveness of the forecasting models of water qualitative composition is largely determined by the completeness and adequacy of the source information. A review of approaches to using such models is given in scientific papers [1, 2]. Traditional forecasting methods, developed for using modern information and computing tools, are typically not effective in solving complex practical tasks on forecasting the state of a specific water object, taking into consideration all its features.