ANNUAL CONGRESS 2025

Intra-urban CO₂ Spatiotemporal Distribution and Driving Urban Factors Using Multi-source Data: A Case Study of Shanghai

Not scheduled

20m

Yildiz Technical University, Istanbul

Oral Track 05 | ENVIRONMENT AND CLIMATE

Speaker

Mr Leyi Pan (Tongji University)

Description

The emission of carbon dioxide (CO₂) and other greenhouse gases has accelerated the global warming process, exacerbating environmental problems. Urban CO₂ concentration has become a new focus in CO₂ research. However, existing studies are often limited by single data sources, restricting the temporal and spatial scope of the research. This study addresses the issue of limited data sources by using CO₂ monitoring data from five ground-based monitoring stations in Shanghai throughout 2023, combined with XCO₂ data from the OCO-2 satellite for the period 2014–2024. The primary objective of this study is to investigate the spatiotemporal distribution and vertical variation of CO₂ concentration in Shanghai, as well as to explore the urban-rural differences and identify the key factors influencing CO₂ concentration within the city. To address these research objectives, a combination of time series analysis, inverse distance weighting interpolation, and multiple linear regression methods is employed to analyze the data and assess the impact of various factors on CO₂ concentration in Shanghai. The results indicate that CO₂ concentration in Shanghai is significantly affected by seasonal variation, with concentrations in summer being notably lower than in winter. There are also spatial distribution differences in CO₂ concentration, with higher concentrations generally observed in the city center compared to the suburbs. The vertical distribution of CO2 concentration tends to increase initially and then decrease. Furthermore, the study reveals that vegetation cover and population density has a significant impact on CO₂ concentration, and the road network density also plays a role, This indicates that intra-urban CO₂ concentration exhibits complex characteristics, influenced by various factors such as land use type, spatial aggregation, traffic, and human activities. This study overcomes the limitation of using a single data source and provides a detailed analysis of the spatiotemporal distribution characteristics and influencing factors of CO₂ concentration at the urban scale. It also explores the potential for combining ground-based monitoring and satellite-derived CO₂ data for future research.

References

Adames, A. F. et al. (2017) ‘Changes in the Structure and Propagation of the MJO with Increasing CO2’, Journal of advances in modeling earth systems, 9(2), pp. 1251–1268. doi: https://doi.org/10.1002/2017MS000913.

Adiya, S., Gansukh, T. E., and Batbold, B. (2023). ‘Evaluating Seasonal Variations of CO₂ Fluxes from Peatland Areas in the Mongolian Permafrost Region’, In Fourth International Conference on Environmental Science and Technology. pp. 7-16. doi: https://doi.org/10.2991/978-94-6463-278-1_2.

Aref’ev, V. N. et al. (2014). Background component of carbon dioxide concentration in the near-surface air. Izvestiya, Atmospheric and Oceanic Physics, 50(6), pp. 576–582. doi: https://doi.org/10.1134/S0001433814060036.
......