CO2 concentration change detection in time and spatial domains by means of wavelet analysis of MRA: Multi-Resolution Analysis

A method for change detection in time and space domains based on wavelet MRA: Multi-Resolution Analysis is proposed. Measring stations for carbon di-oxide concentration are sparsely situated. Also the measuring stations monitor the carbon, di-oxide concentration in an iregular basis so that some interporation 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 interporated carbon di-oxide 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 di-oxide concentration data starting from 1990 provided by WDCGG: World Data Center for Greehouse Gasses, it is found that there exists seasonal change and relatively large changes are occured in ElNino years. It is also found that the carbon di-oxide is concentrated in European continent and northen American continent as well as far east Asian continent.