Methods for the identification of asymmetric wavelets and factor analysis on the example of the monthly dynamics of the greenhouse gases of Antarctica

International Journal of Development Research

Volume: 
09
Article ID: 
17235
18 pages
Research Article

Methods for the identification of asymmetric wavelets and factor analysis on the example of the monthly dynamics of the greenhouse gases of Antarctica

Peter M. Mazurkin

Abstract: 

According to ESRL / GMD FTP data (as of March 9, 2017), regularities in the dynamics of the seven greenhouse gases of Antarctica at the SPO station since March 1975 were revealed and binary relations between them were obtained. In dynamics, as an influencing variable, we obtained a rating of CH4, CO, H2, C14C13, CO2, CO2O18, and CO2C13. Rating as dependent indicators starts with CH4, H2, CO. Greenhouse gas CO2 has the highest linear correlation coefficient of 0.9970. Its wavelet with a one-year cycle has a correlation coefficient of 0.8407. In Antarctica, due to the remoteness of the vegetation of South America and Australia, the semi-annual cycle is vague. However, this cycle is present elsewhere on the planet. With the highest correlation coefficient 0.7114 in Antarctica with a six-month cycle, CO is present, CH4 is in second place with 0.5626, and H2 is in third place with 0.3755. The main reason for the annual cycle is a change in the angle of inclination of the earth's axis. Even in Antarctica, the influence of this astronomical parameter on the fluctuation of greenhouse gases is noticeable. And semi-annual cycles depend, as a rule, on the vegetation cover of both hemispheres. Apparently, the semiannual cycles of CH4 and CH4CO13 can be explained mainly by the presence of ammonia reserves in Antarctica.

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