Linear stochastic optimization applied to biochemical oxygen demand – dissolved oxygen modelling
- 1 April 1986
- journal article
- Published by Canadian Science Publishing in Canadian Journal of Civil Engineering
- Vol. 13 (2) , 249-254
- https://doi.org/10.1139/l86-033
Abstract
A methodology for reflecting stochastic considerations in an optimization model is presented. The technique, which uses chance-constrained programming, is applied to a water quality management problem wherein concern is with the interaction between biochemical oxygen demand (BOD) and the dissolved oxygen (DO) concentration in a river. The uncertainty in the problem is considered to be embodied in transfer coefficients for which a lognormal distribution is derived from moment estimates provided by first-order uncertainty analysis. The appropriateness of the lognormal distribution is confirmed by results from a simulation modelling exercise. Key words: water quality, optimization, uncertainty, mathematical modelling.Keywords
This publication has 0 references indexed in Scilit: