Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing

Urban areas are significant contributors to global carbon dioxide (CO 2 ) emissions, highlighting the need to comprehend CO 2 flux dynamics within cities for effective climate change mitigation. Neighbourhood-scale assessments of land-atmosphere CO 2 exchange are needed due to the intricate interactions between human activities, infrastructure, and vegetation. In this study, surface CO 2 flux (Scope 1 direct emissions) was modelled over the urban area of the megacity Beijing, China, in 2016 at 500-m resolution to examine the relative contributions of the different local sources and their dependencies on different Local Climate Zones (LCZs). The model considered direct CO 2 emissions from on-road traffic, local fuel combustion within buildings, human metabolism, soil and vegetation respiration, and CO 2 uptake by vegetation photosynthesis. The results showed that the spatial average of anthropogenic CO 2 emission was 4.5 kg C m −2 yr −1 . Traffic and local building emissions contribute 38% and 37%, respectively, of total CO 2 emissions, followed by human metabolism with 13%. Vegetation uptake offset only 4% of emissions, playing a minor role in climate mitigation due to limited areal coverage. CO 2 fluxes showed high heterogeneity, with hot spots resulting primarily from traffic emissions. Net CO 2 flux increased and then decreased with distance from the city centre, following the pattern in the impervious surface fraction and population density. LCZs helped explain patterns in biogenic and building-related CO 2 fluxes, but they were less effective at capturing the complexity of traffic-related emissions. Simulating both anthropogenic and biogenic fluxes provides insight into their relative magnitudes on the neighbourhood scale and helps to identify the areas where emission reductions would be most critical to be made and nature-based solutions are most urgently needed. • High-resolution (500 m) local-scale CO 2 flux ( F C ) over Beijing was produced. • Traffic and building sources contribute equally to local-scale anthropogenic CO 2 flux. • Vegetation compensated CO 2 emissions by 13% in summer and by 4% annually. • F C correlated with building density, but traffic emissions caused large outliers. • LCZs explained patterns in biogenic and building fluxes, less for traffic F C .

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Publication Details

Journal
City and Environment Interactions
Published
2025-10-17
DOI
https://doi.org/10.1016/j.cacint.2025.100252
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
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article

Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing

Huizhi Liu, Leena Järvi, Yingqi Zheng, Qingzu Luan et al.
City and Environment Interactions
Urban Heat Island Mitigation
article

Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing

Huizhi Liu, Leena Järvi, Yingqi Zheng, Qingzu Luan, Minttu Havu, Qun Du, Yuyu Zhou
article en

Abstract

Urban areas are significant contributors to global carbon dioxide (CO 2 ) emissions, highlighting the need to comprehend CO 2 flux dynamics within cities for effective climate change mitigation. Neighbourhood-scale assessments of land-atmosphere CO 2 exchange are needed due to the intricate interactions between human activities, infrastructure, and vegetation. In this study, surface CO 2 flux (Scope 1 direct emissions) was modelled over the urban area of the megacity Beijing, China, in 2016 at 500-m resolution to examine the relative contributions of the different local sources and their dependencies on different Local Climate Zones (LCZs). The model considered direct CO 2 emissions from on-road traffic, local fuel combustion within buildings, human metabolism, soil and vegetation respiration, and CO 2 uptake by vegetation photosynthesis. The results showed that the spatial average of anthropogenic CO 2 emission was 4.5 kg C m −2 yr −1 . Traffic and local building emissions contribute 38% and 37%, respectively, of total CO 2 emissions, followed by human metabolism with 13%. Vegetation uptake offset only 4% of emissions, playing a minor role in climate mitigation due to limited areal coverage. CO 2 fluxes showed high heterogeneity, with hot spots resulting primarily from traffic emissions. Net CO 2 flux increased and then decreased with distance from the city centre, following the pattern in the impervious surface fraction and population density. LCZs helped explain patterns in biogenic and building-related CO 2 fluxes, but they were less effective at capturing the complexity of traffic-related emissions. Simulating both anthropogenic and biogenic fluxes provides insight into their relative magnitudes on the neighbourhood scale and helps to identify the areas where emission reductions would be most critical to be made and nature-based solutions are most urgently needed. • High-resolution (500 m) local-scale CO 2 flux ( F C ) over Beijing was produced. • Traffic and building sources contribute equally to local-scale anthropogenic CO 2 flux. • Vegetation compensated CO 2 emissions by 13% in summer and by 4% annually. • F C correlated with building density, but traffic emissions caused large outliers. • LCZs explained patterns in biogenic and building fluxes, less for traffic F C .

City and Environment InteractionsVol. 28
University of Helsinki (FI), Chinese University of Hong Kong (HK), Yunnan University (CN), Chinese Academy of Sciences (CN), Beijing Municipal Ecology and Environment Bureau (CN), State Key Joint Laboratory of Environment Simulation and Pollution Control (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), University of Hong Kong (HK), Tsinghua University (CN)
Openalex Percentile: Top 73%
Urban Heat Island Mitigation
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