A systems model of streamflow and water quality in the Bedford Ouse river system—II. Water quality modelling

This paper, the second of a two part description of the modelling activities associated with the Bedford Ouse Study, concentrates on the theme of water quality modelling. In the first part of the paper streamflow models of a dynamic-stochastic type were developed and this approach has been extended during the water quality modelling studies. Recursive estimation techniques such as the extended Kalman filter have been applied to daily water quality data to determine models for dissolved oxygen, biochemical oxygen demand, chloride and nitrate. The models have been developed specifically to investigate design and operational management problems and have been used to assess the impact of effluent from the new city of Milton Keynes on river water quality. Monte Carlo simulation techniques are used to investigate the distributions of water quality at a downstream abstraction site and an application of the models linked to a water quality monitoring and telementry system is considered.

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