Author: Gualtieri, Giovanni; Brilli, Lorenzo; Carotenuto, Federico; Vagnoli, Carolina; Zaldei, Alessandro; Gioli, Beniamino
Title: Quantifying road traffic impact on air quality in urban areas: a Covid19-induced lockdown analysis in Italy() Cord-id: ocaqgg5d Document date: 2020_9_18
ID: ocaqgg5d
Snippet: Covid19-induced lockdown measures caused modifications in atmospheric pollutant and greenhouse gas emissions. Urban road traffic was the most impacted, with 48‒60% average reduction in Italy. This offered an unprecedented opportunity to assess how a prolonged (∼2 months) and remarkable abatement of traffic emissions impacted on urban air quality. Six out of the eight most populated cities in Italy with different climatic conditions were analysed: Milan, Bologna, Florence, Rome, Naples, and P
Document: Covid19-induced lockdown measures caused modifications in atmospheric pollutant and greenhouse gas emissions. Urban road traffic was the most impacted, with 48‒60% average reduction in Italy. This offered an unprecedented opportunity to assess how a prolonged (∼2 months) and remarkable abatement of traffic emissions impacted on urban air quality. Six out of the eight most populated cities in Italy with different climatic conditions were analysed: Milan, Bologna, Florence, Rome, Naples, and Palermo. The selected scenario (24/02/2020‒30/04/2020) was compared to a meteorologically comparable scenario in 2019 (25/02/2019–02/05/2019). NO(2), O(3), PM(2.5) and PM(10) observations from 58 air quality and meteorological stations were used, while traffic mobility was derived from municipality-scale big data. NO(2) levels remarkably dropped over all urban areas (from ‒24.9% in Milan to ‒59.1% in Naples), to an extent roughly proportional but lower than traffic reduction. Conversely, O(3) concentrations remained unchanged or even increased (up to 13.7% in Palermo and 14.7% in Rome), likely because of the reduced O(3) titration triggered by lower NO emissions from vehicles, and lower NO(x) emissions over typical VOCs-limited environments such as urban areas, not compensated by comparable VOCs emissions reductions. PM(10) exhibited reductions up to 31.5% (Palermo) and increases up to 7.3% (Naples), while PM(2.5) showed reductions of ∼13–17% counterbalanced by increases up to ∼9%. Higher household heating usage (+16–19% in March), also driven by colder weather conditions than 2019 (‒0.2 to ‒0.8 °C) may partly explain primary PM emissions increase, while an increase in agriculture activities may account for the NH(3) emissions increase leading to secondary aerosol formation. This study confirmed the complex nature of atmospheric pollution even when a major emission source is clearly isolated and controlled, and the need for consistent decarbonisation efforts across all emission sectors to really improve air quality and public health. Main finding A 2-month urban traffic ban extended to the whole Italy only significantly reduced NO(2) levels, while O(3), PM(2.5) and PM(10) concentrations were affected to a minor extent.
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