| Carbon dioxide is the single most important anthropogenic greenhouse gas in the atmosphere, with accounting for about 65% of global warm. GOSAT satellite provides a rich set of temporal CO2 concentration data for the global carbon cycle research as a global multi-temporal observations, it can be used for large-scale, real-time quantitative objective of atmospheric CO2 concentrations. GOSAT satellite get very unevenly samples atmospheric XCO2 data in space and time, which makes it difficult for subsequent analysis.Therefore, In this study, we based on Moving Cylinder Space Time Kriging(MCSTK) interpolate missing data, we choose K- mean clustering method as the theory, choose China, the United States and global as a study area, the timing of changes in CO2 as the feature vector, mining CO2 concentration distribution pattern, and clustering help analyze ther reason why. This study use the ACOS team inversion of CO2 column density data sets based on GOSAT observations, by temporal Kriging(MCSTK) interpolation mapping, we obtain the CO2 concentration in the column space-time continuous data collection study area. On the basis of the clustering result represents that China regional atmospheric CO2 concentration interpolation results response to K-means clustering better. With fewer classification, the atmospheric CO2 concentration difference is small, with higher classification, the atmospheric CO2 concentration significantly different. China Clustering atmospheric CO2 concentration trend is consistent with the original area of atmospheric CO2 concentration. US regional atmospheric CO2 concentrations interpolated data for the three-quarter results 12 K- means clustering is not as good as Chinese space clustering results. We further separated it into three years of clustering data, we can get China and the United States have a higher degree of polymerization and the cluster center.This study analyzes the CO2 column density data sets can be obtained that from 2010 to 2012 the average global XCO2 concentrations is 387.0ppm, 388.8ppm, 391.0ppm, basically the same with global ground observations the WMO released. Which China’s average XCO2 concentrations is 387.7ppm, 389.6ppm, 391.9ppm, the US average XCO2 concentrations is 387.7ppm, 389.4ppm, 391.6ppm. China and the United States the annual average atmospheric CO2 concentration is higher than the global average. Each latitude worldwide showed different growth trends and seasonal differences, and we have a more significant seasonal volatility near the equator. On the same season of the year, obviously April to June maximum, July to August minimum. high and low values showed the opposite change because of the different hemispheres means different season. Seasonal changes and the magnitude of the time sequence is significantly different. Where the northern hemisphere mid-latitudes(especially in China and the United States) is the major fossil fuel combustion emissions zone, CO2 concentration in China and the United States showed a rising trend year by year, increase higher than the world average, This global social development and economic coincide. We based these a priori knowledge, comparison CARMA(Global carbon emissions from power plants statistical data), we obtained the high-concentration and high-emission region, we obtained the high concentration of high-emission region, we performed this area a forward trajectory simulation and backward trajectory simulation, then we statistics the probability, China and the United States obtained the position of regional targets CO2 air mass proliferation to cluster centers and the proliferation probability in all directions, The proliferation impact diffusion impact on the surrounding environment. |
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