地理学报 ›› 2022, Vol. 77 ›› Issue (4): 936-946.doi: 10.11821/dlxb202204011

• 区域发展 • 上一篇    下一篇

区域土地利用影响地表CO2浓度异质性特征的动力学机制

邓祥征1,2(), 蒋思坚1,2, 李星3, 赵海鹏4, 韩赜1, 董金玮1,2, 孙志刚1,2, 陈明星1,2   

  1. 1. 中国科学院地理科学与资源研究所,北京 100101
    2. 中国科学院大学,北京 100049
    3. 中国地质大学(武汉),武汉 430074
    4. 中国地质大学(北京),北京 100083;
  • 收稿日期:2021-07-14 修回日期:2022-01-29 出版日期:2022-04-25 发布日期:2022-06-20
  • 作者简介:邓祥征(1971-), 男, 山东日照人, 博士, 研究员, 主要从事土地系统科学、全球变化与区域发展等相关领域研究。E-mail: dengxz@igsnrr.ac.cn
  • 基金资助:
    国家重点研发计划(2016YFA0602500)

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 Published:2022-04-25 Online:2022-06-20
  • Supported by:
    National Key R&D Program of China No(2016YFA0602500)

摘要:

本文综合应用高斯方程和拉姆齐模型,针对京津冀地区2000年以来10 km×10 km栅格尺度的地表CO2浓度开展研究,分析了区域土地利用影响地表CO2浓度异质性特征的动力学机制。研究发现:① 地表CO2浓度与土地利用类型密切相关。2000—2018年京津冀地区CO2浓度的高值区主要集中于经济较发达的快速城镇化地区;② 土地利用强度及土地利用效率上的时空分异为地表CO2扩散提供了潜在的势能。京津冀地区地表CO2排放及扩散存在明显的空间异质性,距离CO2排放高值区越近,其相应的CO2浓度越高并随时间推移及空间拓展呈逐步减小的态势;③ 京津冀地区在土地利用结构调整、格局优化及效率提升后,CO2排放强度增幅明显减弱,其区域间的增幅差异也逐渐缩小。产业转型发展、土地利用格局优化、土地利用效率提高有效地抑制了京津冀地区地表CO2排放强度的提升并促进了该区域的内涵式增长与高质量发展。

关键词: 土地利用, 碳排放, CO2浓度, 拉姆齐模型, 高斯方程, 京津冀

Abstract:

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