A stochastic physical system approach to modeling river water quality
type: Item
instance of: scholarly article
title: A stochastic physical system approach to modeling river water quality
zbMATH Open document ID: 0838.76071
DOI: 10.1007/BF01585602
author: W. F. Curi
author: T. E. Unny
author: J. J. Kay
published in: Stochastic Hydrology and Hydraulics
publication date: 1996-01-14T00:00:00Z
review text: Concepts of network thermodynamics are applied to a river water quality model, which is based on Streeter-Phelps equations, to identify the corresponding physical components and their topology. Then, the randomness in the parameters, input coefficients and initial conditions are modeled by Gaussian white noises. A set of stochastic differential equations can be automatically generated in a computer, and the recent developments on the automatic formulation of the moment equations based on Ito calculus can be used. This procedure is illustrated through the solution of an example of stochastic river water quality problem.
Mathematics Subject Classification ID: 76M35
Mathematics Subject Classification ID: 86A05
Mathematics Subject Classification ID: 82B31
zbMATH DE Number: 833451
zbMATH Keywords: network thermodynamics
zbMATH Keywords: Streeter-Phelps equations
zbMATH Keywords: Gaussian white noises
zbMATH Keywords: Ito calculus
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 833451