Modelagem e simulação da quantificação de dióxido de carbono neutralizado por plantios comerciais de eucalipto

Abstract

The cellular automata are abstract models used to describe natural systems enabling the analysis of complex patterns from a simplified formulation. Cellular automata consist of structures composed of a grid of cells where each cell evolves according to the characteristics of the neighboring cells and can be employed to modeling natural systems. The climatic and environmental changes caused by the accumulation of atmospheric carbon dioxide can be considered as one of the biggest problems of humanity in the last centuries. The trees, based in their catch atmospheric carbon dioxide potential, can be considered and used in helping to reduce the atmospheric concentration of this gas. The eucalyptus is a non-native tree gender's that their species are widely indicated in helping to neutralize the atmospheric carbon dioxide because of their good adaptation to the most different environment, high growth rate e easily reflorestation. The state of Rio Grande do Sul concentrates a large eucalyptus plantations area. In the region of Bagé-RS, the commercial eucalyptus plantations are growing in the last years due to increased from cellulose and paper industry demands. In this region also there are relevant atmospheric pollutant emission sources. The presence of these sources and of large commercial plantations of eucalyptus in that region makes interesting the quantification of potential carbon dioxide neutralization of these plantations. Based on these, the present work proposes the formalization of a mathematic model to simulation of a carbon dioxide neutralization from a eucaliptus's commercial plantation, computationaly implemented using the cellular automata methodology, considering the pest attack probability to the plantation to count of dead trees as well as the influence of a spacement choosing that proved one of main factors that affects the potencial of a carbon dioxide neutralization from a plantation.