Abstract
The anthropogenic driver of global warming is the increasing concentration of greenhouse gases in the atmosphere and carbon dioxide (CO2) is the largest contributing gas to the greenhouse effects. Hence, in handling climate change issues, it is essential to control and stabilize CO2 emissions. Increased CO2 emissions is caused by population growth, urbanization, forest and agriculture land areas. In this investigation was analyzed the CO2 emission prediction based on the five parameters: rural population growth, urban population growth, population growth, agricultural land and forest area. The method of adaptive neuro fuzzy inference system was applied to the data in order to detect the most influential parameters for the CO2 emission prediction among the analyzed parameters. Results shown that for the CO2 emission prediction from solid fuel consumption the most influential parameter is urban population growth.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
