Source Apportionment of PM2.5 in Milan by PMF Receptor Model

ISBN-13: 9783330345737 / Angielski / Miękka / 2019 / 80 str.

Sanja Savic

Opis

This case study discusses the application of a multivariate receptor model, the EPA PMF 5.0 to the PM2.5 dataset from Lombardy region in Italy. The aim of the study is to perform source apportionment investigation of the applied dataset and identify different PM2.5 sources that greatly impact the composition of particulate matter in the studied region. PMF model evaluates contribution to diverse source types of measured PM2.5 concentrations by investigating chemical composition of ambient pollution samples. As a type of receptor models, PMF used as an input data, PM concentrations and their relative chemical specification and provides as an outcome the number of sources, their composition and the source contributions. The analysis of total annual PM2.5 mass concentration revealed presence of 6 sources (secondary sulfate, traffic non-exhaust, biomass combustion/break wear, domestic heating, re-suspended soil dust and secondary nitrate).

O autorze

Savic, Sanja
Sanja Savic is an environmental engineer and has been a business professional since 2015 in the same area of expertise. While being a master student, she has been admitted to Alta Scuola Politecnica, school for young talents. Today, she is a lead auditor for ISO14001:20015 and is being an analyst of environmental KPIs for Pan-European region.