ABSTRACT
ABSTRACT: This paper describes a one-dimensional simplified model to predict the seasonal variations of the vertical temperature and water quality distributions through a year in Lake Biwa, which is the largest lake in Japan, using the monthly averaged meteorological data.A hydrodynamic model with a k-ε turbulence model and the thermodynamic exchanges at a water surface was firstly tested to reproduce seasonal variations of temperature distributions in the vertical direction. Then the water quality parameters such as phytoplankton (Chlorophyll-a), zooplankton, organic and inorganic nutrients are combined with a water temperature prediction model, using a standard modelling of ecological processes. It was shown that the calculated water quality distributions agree with the observed ones qualitatively, and the model may be applicable to predict the effect of global warming, though further investigations are required to identify the model parameters.
