Numerical simulations of stochastic biochemical oxygen demand equations via RBF method

This paper proposes a new approach to numerical simulations of stochastic biochemical oxygen demand equations. The analysis of biochemical oxygen demand is necessary in evaluating the effects of water pollution. Here, we consider radial basis functions. This approximation process can also be interpr...

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Bibliographic Details
Published in:	International journal of environmental studies Vol. 80; no. 3; pp. 769 - 776
Main Author:	Shekarabi, F. Hosseini
Format:	Journal Article
Language:	English
Published:	New York Routledge 04-05-2023 Gordon and Breach Science Publishers
Subjects:	Biochemical oxygen demand Biochemistry BOD Computer simulation Demand analysis Environmental science Environmental studies Itˆo integral Mathematical analysis Neural networks Oxygen Radial basis function RBFs stochastic model Stochasticity Water pollution Water pollution effects
Online Access:	Get full text
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Summary:	This paper proposes a new approach to numerical simulations of stochastic biochemical oxygen demand equations. The analysis of biochemical oxygen demand is necessary in evaluating the effects of water pollution. Here, we consider radial basis functions. This approximation process can also be interpreted as a simple kind of neural network. An illustrative example is included to demonstrate the validity and applicability of the approach. The numerical experiments show that the method performs well.
ISSN:	0020-7233 1029-0400
DOI:	10.1080/00207233.2022.2108268