Various simplifications of the river water quality model no. 1 are applied to data sets from the river Glatt in Switzerland. In a first application, the biomass responsible for nitrogen and oxygen conversion processes is quantified based on known reaeration rates, measured concentrations of ammonia, nitrite and oxygen and assumed growth parameters of algae and bacteria. In a second application, the model is extended to calculate chemical equilibria of inorganic carbon compounds dissolved in the water and daily variations in pH. The influence of partially unknown inflow concentrations and of calcite precipitation on fluctuations in electrical conductivity and pH are discussed. In the last model, the processes of growth of sessile algae and bacteria, detachment of algae, and grazing by benthic organisms are introduced. Due to lack of data for quantifying these processes, this last model application is speculative. Nevertheless, it is interesting because it shows a direction to which river water quality modelling would have to proceed in order to increase its predictive capabilities.

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