Abstract:We comprehensively analysed the spatio-temporal changes and seasonal patterns in the CO2 concentrations in China from 2014 to 2018 using OCO-2XCO2 data. Moreover, influencing factors of XCO2 were evaluated. Regarding the temporal distribution, the CO2 concentration in China increased at an average rate of 2.56×10-6/a, with significant annual seasonal variations of 6.78×10-6. A significant increasement of vegetations was observed in China between 2014 and 2018, especially in the northwest and southeast coastal, which was mainly related to the returning farmland to forest program. Seasonal variations of XCO2 in China were generally controlled by vegetation activities, and a significant negative correlation between XCO2 and NDVI was observed, especially in northeast China (r=-0.58). Anthropogenic emissions were identified as the dominant contributor of XCO2 distributions, and the spatial correlation were quantified (r=0.397, P<0.05), especially for those regions with larger emissions (emissions>103t,r=0.714). Finally, the socio-economic factors such as population, electricity consumption and road network density were found to affect XCO2 by region, and the results of the correlation analysis were 0.78, 0.69 and 0.34, respectively.
莫露, 巫兆聪, 张熠. 中国XCO2时空分布与影响因素分析[J]. 中国环境科学, 2021, 41(6): 2562-2570.
MO Lu, WU Zhao-cong, ZHANG Yi. Spatial and temporal variations of XCO2 in China and its influencing factors analysis. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(6): 2562-2570.
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