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Carbon footprint is defined as the overall quantity of greenhouse gases that are created directly or indirectly by our daily actions (?u?ek, Klemeš and Kravanja 2012). Generally, carbon footprint of an individual is considered as the quantity of carbon dioxide that they produce directly or indirectly. For instance, when an individual is driving a car, the amount of CO2 that is emitted from the burning of the fuel of the car while driving the car is measured as his total carbon consumption and is termed as carbon footprint of the individual. Generally, a carbon footprint although cannot be determined exactly, it is calculated for the time period of a year.
The main reasons for the increase in the carbon footprint in recent years are overuse of personal vehicles instead of using public transportations, excessive use of electronic gadgets with the development of technology, emission of gases from the factories and chemical industries and application of insecticides and other pests control that are used as fertilizers (?u?ek, Klemeš and Kravanja 2012).
According to me, a practical way that can be implemented for the reduction of carbon footprint is to use alternative sources of energy. The carbon footprint of an individual can be reduced by utilizing some alternative energy resources (Van Heddeghem et al. 2012). Since the use of fossil fuels like petrol, diesel and other sources increase the amount of carbon footprint of an individual therefore development of some alternative energy resources like solar energy, wind energy, LPG or some other alternate sources of resources can be utilized to diminish the carbon footprint of an individual (Van Heddeghem et al. 2012).
?u?ek, L., Klemeš, J.J. and Kravanja, Z., 2012. A review of footprint analysis tools for monitoring impacts on sustainability. Journal of Cleaner Production, 34, pp.9-20.
Van Heddeghem, W., Vereecken, W., Colle, D., Pickavet, M. and Demeester, P., 2012. Distributed computing for carbon footprint reduction by exploiting low-footprint energy availability. Future Generation Computer Systems, 28(2), pp.405-414.
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