Author: Gama, Carla; Relvas, Hélder; Lopes, Myriam; Monteiro, Alexandra
                    Title: The impact of COVID-19 on air quality levels in Portugal: A way to assess traffic contribution  Cord-id: wnu4yr55  Document date: 2020_11_23
                    ID: wnu4yr55
                    
                    Snippet: The pandemic caused by coronavirus COVID-19 is having a worldwide impact that affects health, the economy and indirectly affects the air pollution in cities. In Portugal, the number of cases increased continually (32700 confirmed cases as of May 31, 2020), which has affected the health system and caused movement restrictions which in turn affects the air pollution in the country. This article analyses the indirect effect produced by this pandemic on air pollution in Portugal, by comparison of da
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: The pandemic caused by coronavirus COVID-19 is having a worldwide impact that affects health, the economy and indirectly affects the air pollution in cities. In Portugal, the number of cases increased continually (32700 confirmed cases as of May 31, 2020), which has affected the health system and caused movement restrictions which in turn affects the air pollution in the country. This article analyses the indirect effect produced by this pandemic on air pollution in Portugal, by comparison of data from a period of movement restriction of the citizens by the government – COVID lockdown period (March–May 2020) with data from baseline conditions (mean of the mirrored periods from the five previous years (March–May from 2015 to 2019)). Air quality data – in particular NO(2) and PM(10) hourly concentration - from more than 20 monitoring stations spread over mainland Portugal was used to perform this evaluation. The mean reduction observed on pollutant concentrations was higher for NO(2) (41%) than for PM(10) (18%). For NO(2), mean reductions were more significant in traffic (reaching values higher than 60% in some monitoring stations) and background urban sites than in rural stations. The reduction of NO(2) concentration observed in traffic sites were compared to the estimation of traffic contribution by the incremental method, suggesting that this latter approach is not consistent (lower in same sites and higher in others) and alerting to the careful use of this approach in future works.
 
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