Forecasting of water quality in lakes: a predictive use of a one dimensional model. Application to lake Bourget (Savoie, France)

In order to assess the efficiency of eutrophication control programs, predictive models are necessary. We propose a methodology for implementing such a model, based on the coupling of a biogeochemical model of a lake and the use of long term time series of meteorological data. This methodology is ap...

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Bibliographic Details
Published in:Hydrobiologia 1998-01, Vol.373-374 (1-3), p.47-60
Main Authors: Tassin, Bruno, Vinçon Leite, Brigitte
Format: Article
Language:English
Subjects:
Control programs
Dissolved oxygen
Environmental Sciences
Environmental studies
Eutrophication
Freshwater
Humanities and Social Sciences
Initial conditions
Lakes
Meteorological data
Methods
One dimensional models
Prediction models
Predictive control
Standard deviation
Studies
Water quality
Water temperature
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Summary:In order to assess the efficiency of eutrophication control programs, predictive models are necessary. We propose a methodology for implementing such a model, based on the coupling of a biogeochemical model of a lake and the use of long term time series of meteorological data. This methodology is applied to lake Bourget (Savoie, France). It allows to obtain both mean and standard deviation (first and second order moments) of the state variables of the model on a 1 y period. The sensitivity of the model to the various forcing variables, as well as to the initial conditions is analyzed as well as the linear or non-linear behavior of the model. Finally, the propagation of the uncertainties (standard deviations) in time and space, for both water temperature and dissolved oxygen are assessed.
ISSN:0018-8158
1573-5117
DOI:10.1023/A:1017088125487