As one of the most important productions of combustion process, carbon dioxide (CO2) and carbon monoxide (CO) were commonly used as tracers for source combustion appointment. Their relationship will help to better understand regional carbon cycle and climate forcing effects assessment. In this study, mixing ratios of CO2 and CO were continuously measured using PICARRO gas concentration analyzer at the Atmospheric Boundary Layer Eco-environmental Shanghuang observatory, Chinese Academy of Sciences (ABLECAS) throughout 2022-2023. The variability of mixing ratio of CO to CO2 (ΔCO/ΔCO2) in 1-hour time-interval was calculated according to linear slope analysis after background values were determined. Results show that the mixing ratio of CO has a clear seasonal variability with moderate increase in spring (249.1 ± 59.6 ppb) and winter (257.8 ± 90.3 ppb), mostly due to much frequent transport from north of the Yangtze River. ΔCO/ΔCO2 in ABLECAS station varied with air mass origin, with linear slope 0-1% in 1-hour basis. Relative high ΔCO/ΔCO2 value for air mass from north in winter indicates emission sources had lower combustion efficiency. In summer, ΔCO/ΔCO2 ratio most reflected the background condition for air masses from marine area. The potential source regions and contribution appointment to ABLECAS station were evaluated according to source-receptor-relationship (SRR) analysis by FLEXPART model using CO as pollutant tracer from 2015 to 2023. We found that footprint of air mass had a clear transition period between 2018 and 2019, and synoptic anomaly relative to Arctic oscillation strength and west pacific subtropical high position play a key role in influencing the pollutant transport patterns. The station is much representative for the emission condition in East China in winter and north China in spring. This study provides a scientific basis for the formulation of air quality regulation policy, and helps to implement the national carbon neutralization strategy.