Objective and revelance of the joint exchange programme


  • Strengthening and stimulating collaborative research between Chinese and European laboratories by exchange of experiences as well as optimisation of experimental techniques.
  • Enhancing multidisciplinarity in the field of atmospheric chemistry by integrating experimental, theoretical and modelling competence from chemistry, physics, engineering, and meteorology in order to improve our understanding of the atmospheric system.
  • Promoting mutual awareness for the environmental issues addressed by our scientific community

The network is aimed at filling gaps in our knowledge in different areas which will increase our ability to further understand the atmospheric chemical processes impacting air quality and climate change. The main research objectives of the proposal are:

  • The oxidative capacity of the atmosphere and secondary organic formation with the focus on some highly polluted areas.
  • Atmospheric Chemistry, transformation and impact of Persistent Organic Pollutants (POPs) and Polyaromatic Hydrocarbons (PAHs).
  • Mineral dust aerosols (Chemistry and impact), source identification, interaction biogenic – anthropogenic particles, modelling of particle dynamics.
  • Evaluation and investigation of the impact of the use of the photocatalytic materials on air quality.
  • Evaluation of greenhouse gases emissions at the air / land interface in chosen Chinese and European sites.

To achieve these objectives, the project brings together a multidisciplinary consortium of chemists, physicists, and modellers, reflecting the interdisciplinary nature of this research which lies at the intersection of several disciplines such as physics, chemistry, engineering and meteorology. These objectives will be achieved through the knowledge transfer activities between academic and researchers involved in this project. This consortium brings together world-leading expert scientists conducting cutting-edge laboratory, simulation chamber studies, field sampling and analysis, analytical method development, and modelling studies.