PREDICTION OF WATER QUALITY IN RIVERS WITH LOW DISCHARGE USING INFORMATION TECHNOLOGIES

• Published in: International Multidisciplinary Scientific GeoConference : SGEM Vol. 1; pp. 577 - 584
• Main Authors: Nemtinov, Vladimir, Nemtinova, Yulia, Borisenko, Andrey, Karpushkin, Sergey, Egorov, Sergey
• Format: Conference Proceeding
• Language: English
• Published: Sofia Surveying Geology & Mining Ecology Management (SGEM) 01.01.2016
• Subjects: Accuracy; Ammonification; Aquaculture; Atmospheric models; Atmospheric oxygen; Back propagation; Computer simulation; Denitrification; Dissolved oxygen; Experimental data; Fuzzy logic; Fuzzy sets; Genetic algorithms; Illustrations; Initial conditions; Kalman filters; Markov analysis; Mathematical models; Methods; Modelling; Monte Carlo simulation; Neural networks; Nitrification; Norms; Organic matter; Oxidation; Oxygen; Parameters; Plankton; Principal components analysis; Probability theory; Proteins; Random numbers; Random variables; Rivers; Statistical analysis; Statistical methods; Urea; Wastewater; Wastewater treatment; Water quality; Wavelet transforms; China

In most cases mathematical modeling of such objects as rivers is based on incomplete deterministic and probabilistic experimental information. In this context, we have developed a scheme of statistical testing, which allows creating an adequate model based on available experimental data. Acceptable...