Articles online

Impact of Emissions, Meteorology and Grid Resolution on Changes in HMs and PAHs Concentrations between 2005 and 2010 in Italy

Category: Air Pollution Modeling

Volume: 18 | Issue: 12 | Pages: 3165-3176
DOI: 10.4209/aaqr.2017.08.0262
PDF | Supplemental material

Export Citation:  RIS | BibTeX

Mario Adani , Mihaela Mircea, Massimo D'Isidoro, Maurizio Gualtieri

  • ENEA-Italian National Agency for New Technologies, Energies and Sustainable Economic Development, 40129 Bologna, Italy


High grid resolution generally improves model’s agreement with measurements.
The model reproduced the observed decrease in concentrations from 2005 to 2010.
Emissions impact more than meteorology on the concentrations of HMs and PAHs.
Emissions spatial and temporal distribution influences the concentration changes.


A dynamical evaluation of the Flexible Air quality Regional Model (FARM) system was conducted to assess its ability to predict changes in heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) concentrations over Italy between the years of 2005 and 2010. Several simulations were performed to relate variations in the PAHs and HMs concentrations to changes in the emission inventories, meteorology or grid resolution. The results generally indicate that these concentrations have decreased through the years and the magnitude of decrease is dependent on the specific chemical species. The changes in emissions have determined the major variations of all chemicals, whereas the meteorology has caused significant changes in the concentrations of reactive species, such as benzo[a]pyrene (BaP), in high-resolution simulations, especially over complex topography. The analyses also show that while the total emitted mass of pollutants is important, its geographical distribution is fundamental to estimating changes in concentration.


Heavy metals Polycyclic aromatic hydrocarbons Air quality modelling Dynamical assessment Sensitivity experiments

Related Article

Simulation-based Design of Regional Emission Control Experiments with Simultaneous Pollution of O3 and PM2.5 in Jinan, China

Haoyue Wang, Wenxuan Sui, Xiao Tang , Miaomiao Lu, Huangjian Wu, Lei Kong, Lina Han, Lin Wu, Weiguo Wang, Zifa Wang

A Dynamic Dust Emission Allocation Method and Holiday Profiles Applied to Emission Processing for Improving Air Quality Model Performance

Guanglin Jia, Zhijiong Huang , Yuanqian Xu, Zhuangmin Zhong, Qinge Sha, Xiaobo Huang, Jing Yang, Junyu Zheng