To address the synergistic pollution of ozone (O₃), volatile organic compounds (VOCs) and fine particulate matter (PM2.5) in key regions of China. By assembling a team of experts from top institutions such as Ocean University of China (OUC), Anguang Institute of Chinese Academy of Sciences (AIAS), and Xi'an University of Technology (XUT), the team will analyze in depth the causes of air pollution, including local emission sources, regional transmission contributions, and meteorological conditions, and will provide a set of scientific, precise, and actionable strategies for the government and environmental protection authorities to improve and control air quality. The goal is to significantly alleviate the pollution situation in the short term, and to achieve fundamental improvement in air quality and sustained compliance in the long term.
Core Strategies and Technical Routes:
(1) Accurate identification of pollution sources:
Utilizing a high temporal and spatial resolution monitoring network combined with UAV and satellite remote sensing technology, comprehensive dynamic monitoring of pollution sources in key areas, and big data analysis to identify major pollution sources and intensity.
(2) Pollution process simulation and analysis
Introduce atmospheric chemical transmission models (such as CMAQ, WRF-Chem, etc.), combined with meteorological data, to simulate the process of pollutant diffusion, transformation and interactions in the atmosphere, quantitatively analyze the impacts of regional transmission, and clarify the pollution paths and key areas.
(3) Differentiated governance measures
VOCs: source substitution, process control, and end-of-pipe treatment in a comprehensive manner, implement low-VOCs raw materials, and strengthen the management of disorganized emissions.
PM2.5: multi-source control, promote clean energy, and implement strict emission standards.
O₃: optimize the synergistic emission reduction of VOCs and NOx, and avoid the rebound of O₃ concentration.
(4) Long-term management mechanism construction
Construct an air quality early warning system to warn of pollution in advance and guide public protection and emergency emission reduction. Strengthen policy incentives, urge enterprises to reduce emissions independently, and promote green production. Improve the target responsibility assessment system for air quality improvement, and incorporate air quality improvement into the performance assessment system of local governments.
A team of experts from Ocean University of China, Anguang Institute of Chinese Academy of Sciences and Xi'an University of Technology.
Based on big data analysis and model simulation, it accurately identifies pollution sources and pathways to ensure the accuracy and reliability of the analysis results.
A closed-loop solution from monitoring and analysis to governance and management.
Propose differentiated treatment measures for different pollutants and pollution processes.
Focusing on the construction of long-term management mechanisms to ensure continuous improvement of air quality.
