Abstract
This document presents some technological solutions that succeed identify and simulate the problems the planet is facing as CO2 emissions, deforestation, floods and hurricanes. To reverse its effects will be used a combination of solutions that tends to join tools like geoprocessing, meteorology, pollutant emission data such as CO2, demonstrate that it is possible to quantify the behavior of forests and how can help recover an environment contaminated by pollutants. Another relevant factor on forest behavior identification is the distribution of water into the continent avoiding droughts and it’s relation with the sea, avoiding hurricanes. The purpose of this article is to simulate how those factors combine, can form a large complex network to be analyzed, assisting in the decision making and environmental preservation issues.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Moraes, F.A., Bastos, C.L.: Framework of Integration for Collaboration and Spatial Data Mining Among Heterogeneous Sources in the Web. In: 18th Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics, vol. 1, pp. 19–28 (2010)
Lawrence, D., Vandecar, K.: The impact of tropical deforestation on climate and agricultural to links productivity. University of Virginia. Umpublished manuscript (2014)
Rummel, U., Ammann, C., Kirkman, A.G., et al.: Seasonal variation of ozone deposition to tropical rain forest in southwest Amazonia. Atmos. Chem. Phys. 7, 5415–5435 (2007)
Poveda, G., Mesa, O.: Feedbacks between hydrological processes in tropical South America andlarge scale ocean-atmospheric phenomena. J. Clim, 2690–270211 (1997)
Laurance, W.F., Williamson, G.: Positive feedbacks Among Forest Fragmentation. Drought, and Climate Change in the Amazon Conservation Biology 15, 1529 (2001)
Climate Future of the Amazon (2014), http://www.ccst.inpe.br/
Makarieva, A.M., Gorshkov, V.G., Li, B.-L.: On the validity of the Carnot heat Representing hurricanes engine. Atmos. Chem. Phys. Discuss. 8, 17423–17437 (2008)
Rabatel, A., Francou, B., Soruco, A.: Review article of the current state of glaciers in the tropica1. Andes: A Multi-century Perspective on Glacier Evolution and Climate Change. Cryosph. Discuss. 6, 2477–2536 (2012)
NASA (2014), http://www.nasa.gov/
Makarieva, A.M., Gorshkov, V.: Biotic pump of atmospheric moisture the driver of the hydrological cycle on land. Hydrol. Earth Syst. Sci. 11, 1013–1033 (2007)
National Institute for Spacial Research (2014), http://www.inpe.br/
Principle of Meteorology and Environment (2014), http://www.cptec.inpe.br/glossario.shtml
National Agency of water (2014), http://www2.ana.gov.br
OSGeo live (2014), http://live.osgeo.org/en/index.html
OSGeo (2014), http://www.osgeo.org/
Moraes, F.A., Bastos, C.L.: Pattern Recognition with Spatial Data Mining in web: An infrastructure to engineering of the urban cadaster. In: IEEE – CIS 2011. 7th International Conference on Computational Intelligence and Security, Sanya, Hainan (2011)
Soibelman, L., Wu, J., Caldas, C., Brilakis, I., Lin, K.: Management and analysis of unstructured construction data types. Advanced Engineering Informatics 22, 15–27 (2008)
As the weather forecast is made (2014), http://mundoestranho.abril.com.br/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
de Moraes, A.F., de Assis, D.L., Gomes, L.R. (2015). Based System on Decisions Making for Environmental Preservation. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-16486-1_65
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16485-4
Online ISBN: 978-3-319-16486-1
eBook Packages: Computer ScienceComputer Science (R0)