Information on atmospheric particles (PM) and related hazards is based on monitoring data. The main metric used is PM mass. This does not sufficiently account for physical, chemical and biological properties of PM that determine toxicity and bioavailability. Such properties can only be assessed by advanced methods. These are being developed in several European activities, including research infrastructures ACTRIS and RI-URBANS. 

WeBaSOOP aims to reinforce in Serbia coordinator (VINCA) and partners institution (IRMB,PHIB) research hub by knowledge and skills related to PM monitoring and assessment, with the aim of association with the infrastructures. 

WeBaSOOP aims to introduce innovative observing metrics and methods and address networking gaps. The internationally leading partners (NILU,CSIC,UNG,DEAKIN) have each central roles in the infrastructures and extensive knowledge of and experience with the European research system. Partners will gain regional understanding, new data and networks.

WeBaSOOP research and associated training will focus on particle size distribution and composition including novel organic source tracers and black carbon, by online and offline monitoring and assessment methods. Partners will introduce oxidative potential as proxy for health effects. We will generate new data and knowledge and close the information gap on PM in Western Balkans.

WeBaSOOP  aims to use the new generated data for novel source apportionment. This will trigger new research opportunities. WeBaSOOP knowledge and data will be shared with stakeholders responsible for pollution mitigation or prevention and for compliance with European acquis. Further, WeBaSOOP aims to enhance generic research-administrative skills of partners by dedicated training,and will enable the participating institutions to become partners in discussions of the R&I systems, and to better liaise with the NCPs who will be asked to contribute to the trainings and will be our dialogue partners when looking for future opportunities for research.

Keywords:
air quality, atmopheric aerosols, particles size distribution, ultafine particulate black carbon, oxidative potential, monitoring, modeling