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  1. Pubblicazioni

Inland O3 Production Due to Nitrogen Dioxide Transport Downwind a Coastal Urban Area: A Neural Network Assessment

Articolo
Data di Pubblicazione:
2024
Abstract:
The tropospheric production of O-3 is complex, depending on nitrogen oxides (NOx = NO + NO2), volatile organic compounds (VOCs), and solar radiation. We present a case study showing that the O-3 concentration is higher in a rural area, 14 km downwind from a coastal town in Central Italy, compared with the urban environment. The hypothesis is that the O-3 measured inland results from the photochemical processes occuring in air masses originating at the urban site, which is richer in NOx emissions, during their transport inland.To demonstrate this hypothesis, a feed forward neural network (FFNN) is used to model the O-3 measured at the rural site, comparing the modeled O-3 and the measured O-3 in different scenarios, which include both input parameters related to local O-3 production by photochemistry and input parameters associated with regional transport of O-3 precursors. The simulation results show that the local NOx concentration is not a good input to model the observed O-3 (R = 0.17); on the contrary including the wind speed and direction as input of the FFNN model, the modelled O-3 is well correlated with that measured O-3 (R = 0.82).
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
nitrogen oxides; O-3; neural network; regional transport; air pollution; troposphere
Elenco autori:
Chiacchiaretta, P.; Aruffo, E.; Mascitelli, A.; Colangeli, C.; Palermi, S.; Bianco, S.; Di Carlo, P.
Autori di Ateneo:
ARUFFO ELEONORA
CHIACCHIARETTA PIERO
DI CARLO PIERO
MASCITELLI Alessandra
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/842494
Link al Full Text:
https://ricerca.unich.it//retrieve/handle/11564/842494/489330/Sustainability%202024%20Chiacchiaretta.pdf
Pubblicato in:
SUSTAINABILITY
Journal
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URL

https://www.mdpi.com/2071-1050/16/15/6355
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