Application Of Kalman Filtering Technique To Estimate Biochemichal Oxygen Demand And Dissolved Oxygen Content Of A River Stream.

Abstract

The quality of water in a stream is measured by the in stream biochemical oxygen demand(BOD) and the dissolved oxygen(DO).If DO falls below certain levels or BOD rises above certain levels, fishes die. In this paper a discrete dynamic model of first order difference equation is described for the dynamics of BOD and DO in a two reach river system. Kalman filtering technique is applied to the first order discrete dynamic model to estimate the concentrations of BOD and DO in reaches of a non-tidal river, subject to the measured value of DO. This methodology was applied to Warri River in Delta state of Nigeria. The system was simulated, the concentration of BOD in the river ranges from 1.41mg/l to 16.99mg/l and the concentration of DO in the river ranges from 1.67mg/l to 6.98mg/l.