Atmospheric particulate matter (PM) is a complex mixture of particles emitted by multiple sources. Positive Matrix Factorization (PMF) is a widely used receptor model to perform PM source apportionment studies, identifying main sources of pollution and estimating their contributions to PM concentrations in ambient air.
International experts on receptor models and their applications to environmental sciences will offer a comprehensive training course on the use of USEPA PMF 5 program.
The course will cover the following topics:
* Input data uncertainty estimates
* Case studies for contrasting types of environment
* Apportionment of PMx, Organic matter, road dust, etc.
* Coupling of meteorological and epidemiological data
The training course is addressed mostly to PMF beginners (PhD students, postdoctoral researchers and environmental technicians).