PM removal by urban green: a scientific modelling framework.

In this project a scientific framework for assessing the particulate matter (PM) removal of urban green is developed. We aim at enhancing the insight in the several phenomena that occur at the level of plant surfaces in the presence of PM polluted air, and in the way meteorological, physiological and morphological (plant) parameters affect PM transport, deposition and resuspension. The methodology is based on (1) predictive computational models for air flow, PM transport and PM deposition / resuspension on plant surfaces and (2) experimental analysis of the aerodynamics of urban green and PM deposition on their surfaces. By combining the sophisticated modularity in modeling techniques with experimental procedures, insight will be gained into the relevant underlying dynamic processes involved (PM transport, deposition and resuspension) and the effects of meteorological and physiological / morphological parameters.Based on the framework, we will explore and test the potential of 'eco-technological solutions' for the mitigation of urban air pollution, in particular of PM pollution. Conventional "passive" application of urban green does not fully use its deposition potential. In this project, innovative ways of using urban green in the smart planning of urban adaptation are suggested and studied. Additional benefits might be found in such engineered green systems for both the building and green industry and the environment, but a great deal of knowledge is still lacking to optimally develop and implement them.The knowledge build up in this research project will be very useful in the global framework of designing healthy, sustainable cities. Furthermore, the results will be very helpful to develop and tailor innovative eco-technological solutions, based on a solid scientific background, which adheres to all requirements and regulations.

Keywords:PARTICULATE MATTER, COMPUTATIONAL MODELS, AIR POLLUTION, URBAN ENVIRONMENT

Disciplines:Atmospheric sciences, Physical geography and environmental geoscience, Atmospheric sciences, challenges and pollution, Sustainable and environmental engineering