Acta Geographica Sinica ›› 2022, Vol. 77 ›› Issue (4): 936-946.doi: 10.11821/dlxb202204011

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Dynamics of regional land uses affecting spatial heterogeneity of surface CO2 concentration

DENG Xiangzheng1,2(), JIANG Sijian1,2, LI Xing3, ZHAO Haipeng4, HAN Ze1, DONG Jinwei1,2, SUN Zhigang1,2, CHEN Mingxing1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. China University of Geosciences (Wuhan), Wuhan 430074, China
    4. China University of Geosciences (Beijing), Beijing 100083, China;
  • Received:2021-07-14 Revised:2022-01-29 Online:2022-04-25 Published:2022-06-20
  • Supported by:
    National Key R&D Program of China No(2016YFA0602500)


This study analyzed the spatio-temporal variations of surface CO2 concentration at the 10 km×10 km grid level over the Beijing-Tianjin-Hebei (BTH) region during 2000-2018 and further clarified the dynamics of regional land uses affecting spatial heterogeneity of surface CO2 concentration based on the Gaussian diffusion equation and the spatial Ramsey model. The results showed that surface CO2 concentration in the BTH region was closely related to land use types. The high-value areas of surface CO2 concentration were mainly concentrated in economically developed and rapidly urbanized areas during 2000-2018. The spatio-temporal differences of land use intensity and efficiency provided potential power for surface CO2 concentration diffusion. The surface CO2 emission and diffusion in the BTH region had obvious spatial heterogeneity, presenting that the closer the area was to the high-value area of CO2 emission, the higher the corresponding CO2 concentration was, and it decreased gradually with the elapse of time and spatial expansion. Moreover, with the adjustment of land use structure, optimization of land use spatial pattern, and improvement of land use efficiency in the BTH region, the increase rate of CO2 emissions intensity declined significantly and the differences of the increase rate among regions narrowed gradually at the same time. Industrial transformation and development, land use spatial pattern optimization, and land use efficiency improvement effectively restrained the increase of surface CO2 emission intensity in the BTH region, and promoted the connotative growth and high-quality development of the region.

Key words: land uses, carbon emissions, CO2 concentration, Ramsey model, Gaussian plume equation, Beijing-Tianjin-Hebei region