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Volume 42 Issue 10
Oct.  2024
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Article Contents
KOU Xingxia, PENG Zhen, ZHANG Meigen, MIAO Shiguang, CHEN Min, ZHAO Xiujuan. RESEARCH PROGRESS IN URBAN AND REGIONAL-SCALE ATMOSPHERIC INVERSIONS OF CARBON SOURCES AND SINKS[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(10): 209-217. doi: 10.13205/j.hjgc.202410024
Citation: KOU Xingxia, PENG Zhen, ZHANG Meigen, MIAO Shiguang, CHEN Min, ZHAO Xiujuan. RESEARCH PROGRESS IN URBAN AND REGIONAL-SCALE ATMOSPHERIC INVERSIONS OF CARBON SOURCES AND SINKS[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(10): 209-217. doi: 10.13205/j.hjgc.202410024

RESEARCH PROGRESS IN URBAN AND REGIONAL-SCALE ATMOSPHERIC INVERSIONS OF CARBON SOURCES AND SINKS

doi: 10.13205/j.hjgc.202410024
  • Received Date: 2024-03-31
    Available Online: 2024-11-30
  • Achieving carbon peak and carbon neutrality is a major strategy made by China, which puts forward an urgent need for accurate estimation of carbon sources and sinks. More and more concerns are focused on top-down approaches, which estimate the CO2 exchanges of the Earth’s surface with atmosphere to ensure the objectivity, rationality and accuracy of carbon data. Although the theory of top-down inversion is rigorous, the inversion of carbon source and sink from atmospheric concentration variations turns out to be a challenging scientific problem for a long time. Based on space-borne and ground-based measurements, previous atmospheric inversions have improved the understanding of global terrestrial and ocean carbon fluxes. However, there are still significant uncertainties in the estimation of carbon fluxes at urban and regional scales. On the one hand, at the regional scale, the atmospheric inversion of China’s terrestrial biosphere carbon sources and sinks are used as a reference. Most of China’s carbon sink inversion research adopts global atmospheric transport models to assimilate natural fluxes, which quantifies the biosphere carbon budget with a relatively coarse spatial resolution and long timescale from a weekly or monthly perspective. The limitations in observations and model errors lead to great uncertainty in the inversions, and there is considerable controversy among previous top-down results. Based on the mesoscale atmospheric transport models, several regional carbon assimilation schemes were found to help improve the spatiotemporal resolution of carbon fluxes estimation and reduce the bias in atmospheric inversion. At the urban scale, cities are the main sources of CO2 anthropogenic emissions. The bottom-up approach, taking inventory as an example, has some disadvantages on account of the uncertainties and temporal hysteresis in statistics of energy consumption data. Through carbon assimilation techniques, carbon emissions can be estimated more objectively and timely. Moreover, implementing cross-validation of top-down and bottom-up estimates is beneficial to the credibility of carbon data. In general, great progress has been made in carbon data assimilation at the urban and regional scales during recent decades. In the future, it is urgent to reduce the impact of model and observation uncertainties, to carry out accurate inversions from terrestrial and anthropogenic aspects, which will form an important scientific and practical basis for investigating the regional carbon cycle.
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