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Submission last date: 15th August 2024

Mathematical modeling to predict global warming through human activity

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Author: 
Juan Bacilio Guerrero Escamilla, Yamile Rangel Martínez and Sócrates López Pérez,
Page No: 
415-419

The objective of this research work is to predict global warming through the development of a mathematical model, taking as a reference human activity in the period from 1880 to 2016. It is assumed that global human activity is in function of the Internal Product Gross and population growth. To evaluate this relationship, the operations research methodology was used, this tool allowed the formulation, construction, solution, validation and implementation of the model. With the obtained results it was possible to appreciate the different stages that have experienced the increase of the global average temperature; as a consequence, an irrational exploitation of the natural resources. It was demonstrated that the global average temperature has increased to 0.90°C in 136 years; as a consequence, this behavior is the result of the increase of human activity in 11.21 units.

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