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Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.020817
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 8, 2011.
Abstract: A method for change detection in time and space domains based on wavelet MRA: Multi-Resolution Analysis is proposed. Measuring stations for carbon dioxide concentration are sparsely situated. Also the measuring stations monitor the carbon dioxide concentration in an irregular basis so that some interpolation techniques are required for creation of carbon dioxide concentration with a regular interval in both time and space domains. After all, time and space of MRA is applied to the interpolated carbon dioxide concentration then reconstruction is done without low frequency of LLL component. Thus relatively large change locations and time periods are detected. Through an experiment with 11 years of carbon dioxide concentration data starting from 1990 provided by WDCGG: World Data Center for Greenhouse Gasses, it is found that there exists seasonal change and relatively large changes are occurred in El Nino years. It is also found that the carbon dioxide is concentrated in European continent.
Kohei Arai, “CO2 Concentration Change Detection in Time and Space Domains by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 2(8), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020817