Simulation of CO2 flux and evaluation of carbon neutrality potential at the neighborhood scale in Beijing with multi-source data

作者：Wen-Rong Luo, Huizheng Che, Shiguang Miao, Junxia Dou, Yijia Zheng, Yuyu Zhou, Zhongbo Su, Ye Wu, Wang De, Xin Yi, Ke Gui, Yu Zheng, Lei Li, Xiaoye Zhang · 发表于：Advances in Climate Change Research · 年份：2025 · DOI：10.1016/j.accre.2025.06.008 · 被引用次数：4 · 研究领域：Air Quality and Health Impacts、Atmospheric chemistry and aerosols、Air Quality Monitoring and Forecasting

The urban neighborhood serves as the fundamental unit for fine-scale management of urban carbon emissions, playing a critical role in achieving urban carbon neutrality and sustainable development. Carbon source-sink data at the urban neighborhood scale exhibit significant spatial heterogeneity, and accurate estimation of CO 2 fluxes helps to better understand the relationship between urban carbon processes and both anthropogenic and natural factors. This study employed multi-source data and the SUEWS urban land surface model to simulate CO 2 fluxes at the neighborhood scale. High temporal (hourly) and spatial (20 m) resolution CO 2 fluxes were obtained in the typical mixed-use areas surrounding the IAP and RCEES stations in Beijing. Carbon fluxes from traffic, buildings, human metabolism, soil, and vegetation were quantified for the years 2016, 2019, and 2020. The results show that the SUEWS model effectively captures the temporal and spatial dynamics of CO 2 flux. The multi-year average CO 2 flux at IAP and RCEES stations was 28.17 and 12.87 kg CO 2 /m 2 per year, respectively. Traffic accounted for the largest share of CO 2 emissions, contributing more than 50%, followed by emissions from buildings and human metabolism. The study also evaluated the potential for carbon reduction in urban neighborhoods under future low-carbon policies. Under the moderate emission scenario SSP2-4.5, along with the implementation of strong policy measures, including 80% rooftop greening and el...