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Philadelphia, USA |
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* Scientific Article * Impact Factor 6.630 |
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Timofeeva, S. S., Musaev, M. N., Botirov, T. V., & Boboev, A. A.
Mathematical models and algorithms for predicting surface water pollution. |
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Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-12-104-113
DOI: https://dx.doi.org/10.15863/TAS.2021.12.104.113
Language: English
Citation: Timofeeva, S. S., Musaev, M. N., Botirov, T. V., & Boboev, A. A. (2021). Mathematical models and algorithms for predicting surface water pollution. ISJ Theoretical & Applied Science, 12 (104), 1038-1042. Soi: http://s-o-i.org/1.1/TAS-12-104-113 Doi: https://dx.doi.org/10.15863/TAS.2021.12.104.113 |
Pages: 1038-1042
Published: 30.12.2021
Abstract: The article provides an approach to the development of algorithms for predicting the factors of contamination of substances, including radionuclides of surface waters in the area of operation of an industrial enterprise. The formalization of tasks and algorithms for predicting surface water pollution has been carried out. Simulations are performed with the Adaptive Neuro-Fuzzy Inference System in MATLAB using an Artificial Neural Network (ANN) and risk-based analysis using Monte Carlo Simulation (MCS).
Key words: pollutants, mathematical model, model calibration, rank correlation, Monte Carlo method, forecasting.
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