Enhancing regional air quality models to study fate and transport of persistent organic pollutants

Research Centre for Toxic Compounds in the Environment (Recetox)

The collaboration focuses on understanding the processes, important for geographical distribution of persistent organic pollutants in an environment, and time trends of their concentration. A self-learning automated system for iterative parametrization of chemical transport model (CMAQ) is being developed by CERIT-SC, which aims to improve an estimation of initial burden of additional compartments (e.g., soil, water). The overall goal is to improve the correlation of the modelling system results with real measurements performed by active monitoring stations, and thus to understand the pollution processes better.


This work was supported by the project OP RI CERIT Scientific Cloud LM2015085.

You are running an old browser version which is not fully supported information system anymore. Some applications might not display correctly, some functions might not work as expected or might not work at all.