Abstract
• Fine detection of CO 2 emissions in coalfield area. • Climatologically homogeneous regions suitable for extracting coal mining impact. • Semiparametric analysis estimates climate and other disturbances impacts. • Semiparametric analysis quantitatively evaluates the response of CO 2 emissions. • Climate impact on CO 2 emissions is strongly related to land use. Coal mining is the main factor causing China’s CO 2 emissions. However, the composition of CO 2 emissions caused by coal mining is still unclear. In this study, we developed a detection method that combines climatologically homogeneous region recognition and semiparametric regression to quantitatively calculate the contribution of human activities and climate to CO 2 emissions. On the basis of determining the composition of CO 2 emissions in Shanxi coalfield, we calculated the value of four CO 2 emissions components (coal mining, climate, other disturbances and random fluctuation), analyzed their temporal and spatial regulation, and discussed the relationship between each component and land use. The results show that the coal mining component accounted for the largest proportion, 81 % of the CO 2 emissions, and the climate component accounted for the smallest proportion. From 2000 to 2019, the CO 2 emissions and coal mining component in the study area showed a trend of first increasing and then decreasing, reaching maximum monthly values of 65.5 t and 55.6 t in 2009 and declining in 2010 and 2018, respectively. The components of CO 2 emissions were strongly correlated with the land cover types. Forestland had the lowest climate component (-0.35 t), as well as other disturbances component (7.37 t). Farmland had the lowest coal mining component (20.14 t). Water and built-up land had the highest value of each component. In the future, the climate component of farms in the study area will show an upward trend, while forestland, grassland and water will show a downward trend. The detection methods of CO 2 emission components can be incorporated into the ecosystem model to improve the governance and protection ability of the ecological environment.
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