GIORGIO VERATTI

1. LARMA
Laboratorio di Analisi, Rilievo e Monitoraggio Ambientale
• Atmospheric dispersion modelling
• Laboratory of remote sensing and GIS
• Meteorological measurements
• Aerosol measurements
• GIS for epidemiology and asbestos cover monitoring
Dott. Barbara Arvani
Dott. Tommaso Barbieri
Ing. Alessandro Bigi
Ing. Sofia Costanzini
Ing. Francesca Despini
Ing. Sara Fabbi
Prof. Grazia Ghermandi
Luca Lombroso
Prof. Sergio Teggi
Ing. Giorgio Veratti

2. µMO
Assessing the contribution of NOx traffic emissions to
atmospheric pollution in Modena by microscale
dispersion modelling
email: giorgio.veratti@unimore.it

3. Materials and Methods
MODEL: PMSS (Parallel-Micro-SWIFT-SPRAY)
DOMAIN: 6 km x 6 km (?)
NUMBER OF SIMULATION DOMAIN TILE: 16 (?)
CELL SIZE: 4m x 4m (?)
SIMULATION TIMESCALES: Short periods
(up to 10 days) in winter and in summer
SOURCE: Linear sources
POLLUTANT: NOx
Map of the domain of investigation
0 1000 2000 m

4. Materials and Methods
MODEL: PMSS (Parallel-Micro-SWIFT-SPRAY)
DOMAIN: 6 km x 6 km (?)
NUMBER OF SIMULATION DOMAIN TILE: 16 (?)
CELL SIZE: 4m x 4m (?)
SIMULATION TIMESCALES: Short periods
(up to 10 days) in winter and in summer
SOURCE: Linear sources
POLLUTANT: NOx
Map of the domain of investigation
POLLUTION CONDITIONS:
 Annual (2014) NO2 average:
42 µg m-³ (UT) & 24 µg m-³ (UB)
 Annual (2014) NO2 peak:
165 µg m-³ (UT) & 112 µg m-³ (UB)
 Annual (2010) NOx emissions
estimates: Traffic 60%, Domestic
heating 15%, Industrial combustion
14%

5. DATASETS & TOOLS
● 2 air quality monitoring sites (Arpae Emilia-
Romagna)
● 4 WMO compliant meteorological stations within
the domain
● NO monitoring by small electrochemical sensors
distributed over a test area (Alphasens)
● Nested simulation of main crossings with direct
traffic measurements by 4 radar counters
● Manual traffic count during rush hours at main
streets + Traffic fluxes by PTV Visum mobility model
0 1000 2000 m
UT
UB

6. EXPECTED RESULTS ...
 Hourly maps of dispersion of primary NOx by traffic emissions
 Comparison between measured and computed concentration
to estimate traffic contribution
 Estimate of contributions from domestic heating and
background
GOALS:
 Urban development planning
 Information delivery to citizenship
 Support to urban mobility planning
 Public awareness

7. ... AND CONSTRAINTS
Limited computational resources
Traffic flux estimates not very accurate
Small sensors: data quality evaluation
Large time demand for analysis of small sensor data

8. THANKS FOR THE ATTENTION!