Dynamic Coupling Between Atmospheric CO 2 Concentration and Land Surface Temperature in Major Urban Agglomerations in China: Insights for Sustainable Urban Development

Qiwen Sun, Xuesheng Zhao () and Yiying Hua
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Qiwen Sun: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Xuesheng Zhao: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Yiying Hua: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Sustainability, 2024, vol. 16, issue 21, 1-19

Abstract: To provide new insights into the integrated management of carbon and heat for sustainable urban development, this study systematically investigates the complex relationship between atmospheric CO 2 concentrations and land surface temperature (LST). Utilizing OCO-2 and OCO-3 satellite observations, combined with meteorological conditions, air pollutants, and spatial characteristics, a high-resolution (0.1° × 0.1°) monthly CO 2 column concentration (XCO 2 ) dataset for China spanning 2015 to 2022 was generated using the Random Forest algorithm. The study focuses on urban agglomerations, conducting centroid migration and coupling analyses of XCO 2 and LST to elucidate their spatiotemporal distribution patterns and evolution. Results reveal significant seasonal variations in XCO 2 , which has exhibited a gradual increase over the years. The spatiotemporal distributions of XCO 2 and LST in urban agglomerations show a high degree of consistency, with centroids either converging or following similar movement trajectories. Additionally, the degree of coupling and coordination between XCO 2 and LST has improved annually, indicating a closer interrelationship. These findings enhance our understanding of climate system dynamics and provide essential scientific evidence and decision-making support for addressing climate change. By clarifying the connection between atmospheric CO 2 and LST, this study contributes to the development of more effective strategies for carbon reduction and urban heat island mitigation, thereby advancing cities towards greener, lower-carbon, and more sustainable development pathways.

Keywords: atmospheric CO 2 concentrations; land surface temperature (LST); urban agglomerations; spatiotemporal distribution; coupling analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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