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|Title: ||VALIDATION AND COMPARISON OF A PHYSICAL AND A STATISTICAL DYNAMIC CLIMATIC MODEL FOR A MEDITERRANEAN GREENHOUSE IN PORTUGAL|
|Authors: ||Baptista, F.J.|
|Editors: ||Fernández, Martínez & Castilla|
|Keywords: ||protected cultivation|
time series models
|Issue Date: ||2001|
|Citation: ||BAPTISTA FJ, LITAGO J, NAVAS LM e MENESES JM. 2001. Validation and comparison of a physical and a statistical dynamic climatic model for a Mediterranean greenhouse in Portugal. Acta Horticulturae 559:479-486.|
|Abstract: ||This study is based on the experiments with a tomato crop, carried out in a Mediterranean
unheated greenhouse, located at Lisbon. The main objective is to study the comparative
performance of a physical and a statistical model to explain and forecast the dynamic of
the greenhouse climate, validating their results.
External and internal climatic data as well as information on the evolution of the crop
were collected during the growing season. Several days in different months were chosen
to validate the models and to simulate the environmental conditions inside the
greenhouse, based on the climatic external data and parameters related with the growing
medium, the covering material and the crop.
In the physical model, basically quasi-one-dimensional and single layer, the greenhouse is
divided in process and boundary components. This model, developed in Spain, has been
used and improved for the conditions of the greenhouse climate in Lisbon. Results show
that the model can be used to predict the internal air temperature and relative humidity.
The statistical dynamic model was developed for predicting the internal air temperature
and relative humidity of the greenhouse. The system is analysed with one hour time steps,
by means of spectral and time series methods. The procedure develops sequentially the
steps of statistical identification of the variables, the analysis of the dynamic relations
between them, and the estimation of multiple transfer function models. To discriminate
the different behaviour of the greenhouse climate between diurnal and nocturnal periods,
intervention analysis was used. In spite of the high number of parameters, the model
allows to give a good explanation and prediction of the dynamic of the system. The study
reveals an important relationship between the internal air temperature and the solar
radiation, the external air temperature and the ventilation rate.
Comparison of the measured and simulated data shows that the models predict internal
conditions reasonably well. However, as it was expected, some adjustments are still
necessary to improve the agreement.|
|Appears in Collections:||MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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