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      Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease

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          Abstract

          This study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a noise emission assessment conducted using the CNOSSOS-EU method, and an overall noise emissions reduction on the entire road network was found, even if its extent varied between road types.

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          Most cited references29

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          Coronavirus Disease 2019 (COVID-19) in Italy

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            Indirect effects of COVID-19 on the environment

            This research aims to show the positive and negative indirect effects of COVID-19 on the environment, particularly in the most affected countries such as China, USA, Italy, and Spain. Our research shows that there is a significant association between contingency measures and improvement in air quality, clean beaches and environmental noise reduction. On the other hand, there are also negative secondary aspects such as the reduction in recycling and the increase in waste, further endangering the contamination of physical spaces (water and land), in addition to air. Global economic activity is expected to return in the coming months in most countries (even if slowly), so decreasing GHG concentrations during a short period is not a sustainable way to clean up our environment.
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              Effect of restricted emissions during COVID-19 on air quality in India

              The effectiveness and cost are always top factors for policy-makers to decide control measures and most measures had no pre-test before implementation. Due to the COVID-19 pandemic, human activities are largely restricted in many regions in India since mid-March of 2020, and it is a progressing experiment to testify effectiveness of restricted emissions. In this study, concentrations of six criteria pollutants, PM10, PM2.5, CO, NO2, ozone and SO2 during March 16th to April 14th from 2017 to 2020 in 22 cities covering different regions of India were analysed. Overall, around 43, 31, 10, and 18% decreases in PM2.5, PM10, CO, and NO2 in India were observed during lockdown period compared to previous years. While, there were 17% increase in O3 and negligible changes in SO2. The air quality index (AQI) reduced by 44, 33, 29, 15 and 32% in north, south, east, central and western India, respectively. Correlation between cities especially in northern and eastern regions improved in 2020 compared to previous years, indicating more significant regional transport than previous years. The mean excessive risks of PM reduced by ~52% nationwide due to restricted activities in lockdown period. To eliminate the effects of possible favourable meteorology, the WRF-AERMOD model system was also applied in Delhi-NCR with actual meteorology during the lockdown period and an un-favourable event in early November of 2019 and results show that predicted PM2.5 could increase by only 33% in unfavourable meteorology. This study gives confidence to the regulatory bodies that even during unfavourable meteorology, a significant improvement in air quality could be expected if strict execution of air quality control plans is implemented.
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                Author and article information

                Journal
                Noise Mapping
                Walter de Gruyter GmbH
                2084-879X
                January 01 2020
                August 07 2020
                January 01 2020
                January 01 2020
                August 03 2020
                January 01 2020
                : 7
                : 1
                : 114-122
                Affiliations
                [1 ]Institute for Environmental Design and Engineering , The Bartlett, University College London – 14 Upper Woburn Place , WC1H 0NN London , United Kingdom
                [2 ]Rome Mobility Agency (Roma Servizi per la Mobil-ità) , Via L. Gaurico 9, 00143 Rome , Italy
                [3 ]Department of Engineering , Roma Tre University , Via Vito Volterra 62, 00146 Rome , Italy
                [4 ]Faculty of Economics , Universitas Mercatorum , Piazza Mattei, 10, 00186 Rome , Italy
                Article
                10.1515/noise-2020-0010
                257bd411-fe18-4822-8291-bd8318c8c256
                © 2020

                http://creativecommons.org/licenses/by/4.0

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