1School Water Resources Engineering, Jadavpur University, Kolkata-700 032, India, Email: mmajumdarI5@gmail.com.
2Lecturer, School Water Resources Engineering, Jadavpur University, Kolkata-700 032, India, Email: pklroy@yahoo.co.in
3Director, School Water Resources Engineering, Jadavpur University, Kolkata-700 032, India, Email: asismazumdar@yahoo.com
Carbon Dioxide (CO2) is one of the major greenhouse gases that contribute towards increasing the surface temperature of the earth. The rate of emission of CO2 has increased manifold times since the advent of industrialization and curbing it's emission rate has been a global concern. Vehicular pollution is one of the major contributors to CO2 emission. This paper evaluates the emission of CO2 from vehicular exhaust in three study areas i.e. India, West Bengal and Kolkata. The prediction of emission for the period of 2010 to 2050 has been done by Artificial Neural Network (ANN). The study has been worked out based on past and existing vehicular population and vehicular emission. The vehicular emission has been considered as per different emission norms (emission coefficient) as applicable to the study area. The vehicular emission encompasses total CO2 emissions from all types of vehicles as well as individual category from the study area. CO2 emission in India has been predicted to be 8,797.19 tonnes per day (TPD) in 2010 and 9308.00 TPD in 2050 depicting an increase of 5.80%. In West Bengal, CO2 emission is expected to increase from 607.35 TPD in 2010 to 639.82 TPD in 2050. Whereas in Kolkata CO2 emission is expected to decrease from 225.40 TPD in 2010 to 199.63 TPD in 2050.
Automobile exhaust, CO2, Artificial Neural Network, Vehicular, population, Predicted CO2 emission load
