Collaborative evaluation and control of CO2 and VOCs in Shenyang based on Deepseek optimization

Abstract This study investigates the spatiotemporal characteristics and emission sources of volatile organic compounds (VOCs) and carbon dioxide (CO₂) in Tiexi District, Shenyang, a representative heavy industrial city in Northeast China. Monitoring data from January to August 2023 indicate that alkanes, alkenes, alkynes, and aromatics—especially acetylene, propane, ethane, ethylene, n-butane, and toluene—account for 55.52% of total VOC concentrations. Seasonal peaks are observed, with ozone rising in summer due to enhanced photochemical reactions, and VOCs increasing in winter due to heating-related emissions. High-reactivity VOCs, particularly ethylene and toluene, contribute disproportionately to ozone and secondary aerosol formation. A coupling model integrating DeepSeek AI-based source identification and a convection-diffusion solver in Mathematica was developed to simulate compound transport dynamics and evaluate emission-reduction scenarios. A carbon compensation mechanism was embedded to assess the economic feasibility of net-zero CO₂ goals. Model results suggest that under current control strategies, regional emissions could achieve net-zero emissions by 2038, with an estimated compensation cost of USD 11.2 billion. This research highlights the synergistic nature of VOC and CO₂ control in terms of emission behavior and policy response and provides a transferable modeling approach for joint air quality and carbon management in industrialized regions.