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Simple fuzzy logic models to estimate the global temperature change due to GHG emissions

Autor
Gay, C.; Sánchez, O.; Martínez, B.; Nebot, M.; Estrada, F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications: Rome, Italy, 28-31 July, 2012
Pàgina inicial
518
Pàgina final
526
Resum
Future scenarios (through 2100) developed by the Intergovernmental Panel on Climate Change (IPCC) indicate a wide range of concentrations of greenhouse gases (GHG) and aerosols, and the corresponding range of temperatures. These data, allow inferring that higher temperature increases are directly related to higher emission levels of GHG and to the increase in their atmospheric concentrations. It is evident that lower temperature increases are related to smaller amounts of emissions and, to lower...
Paraules clau
Fuzzy inference models, Global climate change, Greenhouse gases future scenarios
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants

  • Gay García, Carlos  (autor ponent)
  • Sánchez Meneses, O.  (autor ponent)
  • Martínez López, B.  (autor ponent)
  • Nebot Castells, Maria Angela  (autor ponent)
  • Estrada Fernandez, Fco. Javier  (autor ponent)