Particle-Bound PAHs and Elements in a Highly Industrialized City in Southern Italy: PM2.5 Chemical Characterization and Source Apportionment after the Implementation of Governmental Measures for Air Pollution Mitigation and Control.
Jolanda PalmisaniAlessia Di GilioSilvana Angela FranchiniPietro CotugnoDaniela Valeria MinieroPaolo D'AmbruosoGianluigi de GennaroPublished in: International journal of environmental research and public health (2020)
The present study was aimed at determining airborne concentrations of PAHs, Nitro-/Oxy-PAHs and elements in industrial and urban areas of Taranto, a site of environmental risk in Southern Italy, after the issue of strategic measures for air pollution mitigation and control by the Italian Environment Ministry in 2012. A PM2.5 sampling campaign was carried out from 9 to 28 December 2014 at eight receptor sites, two placed in the urban settlement and five included in the high spatial resolution fence monitoring network of the biggest European steel plant. The integration of collected data with meteorological parameters and source apportionment analysis by Positive Matrix Factorization and bivariate polar plots allowed to discriminate among emission sources and estimate their contributions. Evidence on the effect of distinct processes (homogenization, sintering) occurring inside the steel plant on airborne concentrations of PAHs and selected elements was provided. The impact of emissions from the steel plant "core" on the surrounding area was observed at receptor sites downwind to it. Moreover, the extent of the effectiveness of mitigation measures, partially applied at the moment of study's beginning, was demonstrated by mean and peak pollutant concentrations at all receptor sites up to one order of magnitude lower than those documented prior to 2012.
Keyphrases
- polycyclic aromatic hydrocarbons
- particulate matter
- air pollution
- heavy metals
- health risk assessment
- climate change
- human health
- lung function
- risk assessment
- randomized controlled trial
- drinking water
- healthcare
- primary care
- health risk
- binding protein
- cell wall
- sewage sludge
- wastewater treatment
- cystic fibrosis
- deep learning
- chronic obstructive pulmonary disease
- ionic liquid