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Group method of data handling (GMDH) in modelling of growth dynamics of trees irrigated with wastewater
Courtesy of Inderscience Publishers
This paper describes the formulation and analysis of growth dynamics models for trees irrigated with wastewater. The models can be used to obtain the characteristics of a species, depending on treatment conditions and climate factors, at all stages of growth. The experiments were carried out at the University of Patras to identify the characteristics (height rate and mortality) of the forest tree Pinus brutia cultivated under different treatment conditions. The growth dynamics models are designed on the basis of the group method of data handling. This principle generates sets of estimation models with different complexity and accuracy. By analysing their structures, qualitative features of the models may be assessed, and general linear models for different treatment cases compiled.
Keywords: GMDH growth dynamics, GMDH model analysis, irrigation, lagged model, mathematical modelling, wastewater, water index, tree growth, group method of data handling
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