A comparative mathematical analysis of methane emission in India and USA
- 1Department of Basic Science and Humanities (Chemistry), Narula Institute of Technology, Agarpara, Kolkata-700109, West Bengal, India
- 2Department of Basic Science and Humanities (Mathematics), Narula Institute of Technology, Agarpara, Kolkata-700109, West Bengal, India
Int. Res. J. Environment Sci., Volume 6, Issue (2), Pages 55-58, February,22 (2017)
Global anthropogenic methane mission causes an alarming environmental situation for the last few decades. Methane is one of the important green gases which is reported its stronger global warming potential than carbon dioxide. Among the greenhouse gases, methane is supposed to be the second most damaging greenhouse gas after carbon dioxide produced mainly by anthropogenic activities. The main sources of methane emission include mainly industry, agriculture and waste product. The paper makes an attempt for a comparative analysis of methane emission in two countries such as India and United States of America (USA) using historical data of about 100 years by non-linear least square regression analysis method. The validation of emission mode of methane is incorporated upon examination of Coefficient of determination and residual analysis. The paper also utilizes the instantaneous rate of change (IROC) of the gas emission trend of the model for long term prediction of the two countries.
- Forster Piers, Ramaswamy Venkatachalam, Artaxo Paulo, Berntsen Terje, Betts Richard, Fahey David W, Haywood James, Lean Judith, Lowe David C, Myhre Gunnar, Nganga John, Prinn Ronald, Raga Graciela, Schulz Michael and Dorland Robert Van (2007)., Changes in atmospheric constituents and in radiative forcing., Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment. Report of the Intergovernmental Panel on Climate Change (eds Solomon S, Qin D, Manning).
- Myhre G., Shindell D., Bréon F.M., Collins W., Fuglestvedt J., Huang J., Koch D.J.F., Lamarque D., Lee B.M., Nakajima T., Robock A., Stephens G., Takemura T. and Zhang H. (2013)., Anthropogenic and Natural Radiative Forcing., Climate change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 731–738.
- Chen Y.H. and Prinn R.G. (2006)., Estimation of atmospheric methane emissions between 1996 and 2001 using a three-dimensional global chemical transport model., J. Geophys. Res.-Atmos., 111(D10), doi:10310.11029/12005JD006058.
- Spahni R., Wania R., Neef L., van Weele M., Pison I., Bousquet P., Frankenberg C., Foster P. N., Joos F., Prentice I.C. and van Velthoven P. (2011)., Constraining global methane emissions and uptake by ecosystems., Biogeosciences, 8(6), 1643-1665.
- Howarth R.W. (2014)., A bridge to nowhere: methane emissions and the greenhouse gas footprint of natural gas., Energy Science & Engineering, Society of Chemical Industry and John Wiley & Sons Ltd., 2(2), 47-60.
- Bridgham S.D., Quiroz H.C., Keller J.K. and Zhuang Q. (2013)., Methane emissions from wetlands: biogeochemical, microbial, and modeling perspectives from local to global scales., Global Change Biology, 19(5), 1325-1346, doi: 10.1111/gcb.12131.
- Garg A., Kandal B. and Shukla P.R. (2011)., Methane emission in India: Sub-regional and sectoral trends., Atmospheric Environment, 45(28), 4922-4929.
- Zhang B. and Chan G.Q. (2010)., Methane emission by Chinese economy: Inventory and embodiment analysis., Energy Policy, 38(8), 4304-4316.
- Tokos C.P. and Xu Y. (2009)., Modeling carbon dioxide emissions with a system of different equation., Non-linear analysis: Theory, methods and application, 71(12), e1182-e1197.
- Jin R., Tian L., Qian J. and Liu Y. (2010)., The dynamic evolutionary analysis on carbon emissions in Yangtze Delta., International Journal Nonlinear Science, 10(3), 259-263.
- Nandi S. and Basak P. (2014)., Emission of carbon dioxide from different attributes in India: A mathematical study., IOSR Journal of Applied Chemistry (IOSR-JAC), 1, 6-10.
- Zhu Q., Liu J., Peng C., Chen H., Fang X., Jiang H., Yang G., Zhu D., Wang W., and Zhou X. (2014)., Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model., Geosci. Model Dev., 7(3), 981-999.
- Jagadeesh Babu Y., Li C., Frolking S., Nayak D.R., Datta A. and Adhya T.K. (2005)., Modelling of methane emissions from rice-based production systems in India with the denitrification and decomposition model: Field validation and sensitivity analysis., Current Science, 89 (11), 904-912.
- Meng L., Hess P.G.M., Mahowald N.M., Yavitt J.B., Riley W.J., Subin Z.M., Lawrence D.M., Swenson S.C., Jauhiainen J. and Fuka D.R. (2012)., Sensitivity of wetland methane emissions to model assumptions: application and model testing against site observations., Biogeosciences, 9(7), 2793-2819.
- Tan Z., Zhuang Q. and Anthony K.W. (2015)., Modeling methane emissions from arctic lakes: Model development and site-level study., Journal of advances in Modeling Earth Systems, 7(2), 459-483. doi: 10.1002/2014MS000344.
- Nandi S. and Basak P. (2014)., Analysis and prediction of methane emission in India, China, Japan and South East Asian countries., Asian Journal of Science and Technology, 7(1), 2275-2279.
- Basak P. and Nandi S. (2014)., An analytical study of emission dynamics of carbon dioxide in India., IOSR Journal of Applied Chemistry (IOSR-JAC), 1, 16-21.
- Thom Schlueter Conrad Herbert (1966)., Some methods in climatological analysis., WMO Technical Note No. 81, WMO No. 199 (53).