Environmental Monitoring and Recovery

Atmosphere monitoring; references to the EU directives and emerging problems. Automatic analyzers; sampling methods with and without enrichment: canister, bags, traps and bubblers; passive samplers: space e time resolved data influence of meteorological condition on air concentrations; use of Radon as a proxy of the atmospheric dilution properties particulate matter (PM): sources and relations with dimensional distribution, Chemical composition: macro- and micro-components and use of source tracers. Analytical procedures for the most relevant compounds. Sampling of PM: instrumentations and dimensional selection. Solid-vapor equilibria: use of denuder lines and of filter packs. Processing of chemical characterization data of atmospheric particulate matter (PM) and use of advanced multivariate statistical analysis techniques for PM source apportionment. Individuation of relationships between chemical components in PM and PM samples by principal component analysis. Identification of chemical profiles and evaluation of the contribution of different emission sources to PM mass concentration through the use of receptor models such as positive matrix factorization. Spatial mapping Exercises on the use of open-source softwares for processing atmospheric chemistry data will be conducted and students will be provided with the necessary tools to process and interpret environmental chemistry data.

scientific leterature, slides and lesson notes

oral elaboration of an experimental dataset and discussion of results