Forecasting physicochemical variables by a classification tree method. Application to the berre lagoon (south france)
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Acta Biotheoretica 48 (3-4) (2000)
The dynamics of the "Etang de Berre", a brackish lagoon situated close to the French Mediterranean sea coast, is strongly disturbed by freshwater inputs coming from an hydroelectric power station. The system dynamics has been described as a sequence of daily typical states from a set of physicochemical variables such as temperature, salinity and dissolved oxygen rates collected over three years by an automatic sampling station. Each daily pattern summarizes the evolution, hour by hour of the physicochemical variables. This article presents results of forecasts of the states of the system subjected to the simultaneous effects of meteorological conditions and freshwater releases. We recall the main step of the classification tree method used to build up the predictive model (Classification and Regression Trees, Breiman et al., 1984) and we propose a transfer procedure in order to test the stability of the model. Results obtained on the Etang de Berre data set allow us to describe and predict the effects of the environmental variables on the system dynamics with a margin of error. The transfer procedure applied after the tree building process gives a maximum gain in prediction accuracy of about 15%.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Eva Sánchez, Rafael Bravo Parra & Pierre Auger (1995). Linear Discrete Models with Different Time Scales. Acta Biotheoretica 43 (4).
Elliott Sober (1998). Black Box Inference: When Should Intervening Variables Be Postulated? British Journal for the Philosophy of Science 49 (3):469-498.
Mihaela Iftime (2011). A Nonlinear Method for Measuring the Effects of Environmental Variations. Foundations of Science 16 (4):353-361.
F. Tudoret, A. Bardou & G. Carrault (2001). Numerically Solving Physiological Models Based on a Polynomial Approach. Acta Biotheoretica 49 (4).
S. Charles, R. Bravo de la Parra, J. P. Mallet, H. Persat & P. Auger (1998). Population Dynamics Modelling in an Hierarchical Arborescent River Network: An Attempt with Salmo Trutta. Acta Biotheoretica 46 (3).
Bai-Lian Li (2002). A Theoretical Framework of Ecological Phase Transitions for Characterizing Tree-Grass Dynamics. Acta Biotheoretica 50 (3).
Robert W. Kentridge (1995). Symbols, Neurons, Soap-Bubbles and the Neural Computation Underlying Cognition. Minds and Machines 4 (4):439-449.
Hans Läuchli & Christian Savioz (1987). Monadic Second Order Definable Relations on the Binary Tree. Journal of Symbolic Logic 52 (1):219-226.
Luis Sanz & Rafael Bravo de la Parra (1998). Variables Aggregation in Time Varying Discrete Systems. Acta Biotheoretica 46 (3).
Added to index2009-01-28
Total downloads2 ( #350,573 of 1,101,740 )
Recent downloads (6 months)1 ( #292,019 of 1,101,740 )
How can I increase my downloads?