Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic

Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O-3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in cities of the Sao Paulo State with a monitoring station and compared to historical data. Linear regression models were built to investigate the relationship between the isolation of the population - determined using mobile phone monitoring data - and the concentration of each pollutant during the studied period. Although the reduction of pollutants such as NO2, SO2 and PM2.5 is very clear, the economic and climatic characteristics of each region were decisive in the general behaviour of O-3 and PM10. It was not possible to establish a correlation between the pollutants and the isolation index, partly due to the lack of data, partly due to the compliance of the population to those measurements, which was variable over time. Another important limitation factor was the absence of data related to the pollutants of interest in many of the stations. However, the isolation measures carried out in the State opened the opportunity to individually assess the air quality measurements in each of the stations, enabling an understanding that will allow in the future the design of air quality policies together with local sanitary policies

The impact of sugar cane-burning emissions on the respiratory system of children and the elderly

We analyzed the influence of emissions front burning sugar cane on the respiratory system during almost I year in the city of Piracicaba in southeast Brazil. From April 1997 through March 1998, samples of inhalable particles were collected, separated into fine and coarse particulate mode, and analyzed for black carbon and tracer elements. At the same time, we examined daily records of children ( 64 years of age) admitted to the hospital because of respiratory diseases. Generalized linear models were adopted with natural cubic splines to control for season and linear terms to control for weather. Analyses were carried out for the entire period, as well as for burning and rionburning periods. Additional models were built using three factors obtained from factor analysis instead of particles or tracer elements. Increases of 10.2 mu g/m(3) in particles <= 2.5 mu m/m(3) aerodynamic diameter (PM2.5) and 42.9 mu g/m(3) in PM10 were associated with increases of 21.4% [95% confidence interval (0), 4.3-38.5] and 31.03% (95% Cl, 1.25-60.21) in child and elderly respiratory hospital admissions, respectively. When we compared periods, the effects during the burning period were much higher than the effects during nonburning period. Elements generated from sugar cane burning (factor 1) were those most associated with both child and elderly respiratory admissions. Our results show the adverse impact of sugar cane burning emissions on the health of the population, reinforcing the need for public efforts to reduce and eventually eliminate this source of air pollution.Univ São Paulo, Sch Med, Environm Epidemiol Study Grp, Lab Expt Air Pollut, BR-05508 São Paulo, BrazilCatholic Univ Santos, Community Hlth Postgrad Program, Santos, BrazilUniv São Paulo, Ctr Nucl Energy Agr, Piracicaba, BrazilUniv São Paulo, Inst Phys, BR-05508 São Paulo, BrazilUniversidade Federal de São Paulo, Sch Med, Dept Internal Med, Pulm Physiopathol & Air Pollut Res Grp, São Paulo, BrazilHarvard Univ, Sch Publ Hlth, Exposure Epidemiol & Risk Program, Dept Environm Hlth, Boston, MA 02115 USAUniv Santo Amaro, Sch Med, Environm Pediat Program, São Paulo, BrazilUniversidade Federal de São Paulo, Sch Med, Dept Internal Med, Pulm Physiopathol & Air Pollut Res Grp, São Paulo, BrazilWeb of Scienc

Vehicle emissions and PM2.5 mass concentrations in six Brazilian cities

In Brazil, the principal source of air pollution is the combustion of fuels (ethanol, gasohol, and diesel). In this study, we quantify the contributions that vehicle emissions make to the urban fine particulate matter (PM2.5) mass in six state capitals in Brazil, collecting data for use in a larger project evaluating the impact of air pollution on human health. From winter 2007 to winter 2008, we collected 24-h PM2.5 samples, employing gravimetry to determine PM2.5 mass concentrations; reflectance to quantify black carbon concentrations; X-ray fluorescence to characterize elemental composition; and ion chromatography to determine the composition and concentrations of anions and cations. Mean PM2.5 concentrations in the cities of São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, and Recife were 28, 17.2, 14.7, 14.4, 13.4, and 7.3 μg/m3, respectively. In São Paulo and Rio de Janeiro, black carbon explained approximately 30% of the PM2.5 mass. We used receptor models to identify distinct source-related PM2.5 fractions and correlate those fractions with daily mortality rates. Using specific rotation factor analysis, we identified the following principal contributing factors: soil and crustal material; vehicle emissions and biomass burning (black carbon factor); and fuel oil combustion in industries (sulfur factor). In all six cities, vehicle emissions explained at least 40% of the PM2.5 mass. Elemental composition determination with receptor modeling proved an adequate strategy to identify air pollution sources and to evaluate their short- and long-term effects on human health. Our data could inform decisions regarding environmental policies vis-à-vis health care costs

Influence on the oxidative potential of a heavy-duty engine particle emission due to selective catalytic reduction system and biodiesel blend

Although the particulate matter (PM) emissions from biodiesel fuelled engines are acknowledged to be lower than those of fossil diesel, there is a concern on the impact of PM produced by biodiesel to human health. As the oxidative potential of PM has been suggested as trigger for adverse health effects, it was measured using the Electron Spin Resonance (OPESR) technique. Additionally, Energy Dispersive X-ray Fluorescence Spectroscopy (EDXRF) was employed to determine elemental concentration, and Raman Spectroscopy was used to describe the amorphous carbon character of the soot collected on exhaust PM from biodiesel blends fuelled test-bed engine, with and without Selective Catalytic Reduction (SCR). OPESR results showed higher oxidative potential per kWh of PMproduced from a blend of 20% soybean biodiesel and 80% ULSD (B20) engine compared with a blend of 5% soybean biodiesel and 95% ULSD (B5),whereas the SCR was able to reduce oxidative potential for each fuel. EDXRF data indicates a correlation of 0.99 between concentration of copper and oxidative potential. Raman Spectroscopy centered on the expected carbon peaks between 1100 cm−1 and 1600 cm−1 indicate lower molecular disorder for the B20 particulate matter, an indicative of a more graphitic carbon structure. The analytical techniques used in this study highlight the link between biodiesel engine exhaust and increased oxidative potential relative to biodiesel addition on fossil diesel combustion. The EDXRF analysis confirmed the prominent role of metals on free radical production. As a whole, these results suggest that 20% of biodiesel blends run without SCR may pose an increased health risk due to an increase in OH radical generatio

Internações e óbitos e sua relação com a poluição atmosférica em São Paulo, 1993 a 1997

OBJETIVO: Investigar efeitos de curto prazo da poluição atmosférica na morbidade respiratória de menores de 15 anos e na mortalidade de idosos. MÉTODOS: O estudo foi realizado na cidade de São Paulo, Brasil. Foram analisadas as contagens diárias de admissões hospitalares, de menores de 15 anos e de mortes de idosos (>64 anos) no período de 1993 a 1997, em relação às variações diárias de poluentes atmosféricos (PM10, CO, O3). Foi utilizada para análise a regressão de Poisson em modelos aditivos generalizados. Os modelos foram ajustados para efeitos da tendência temporal, sazonalidade, dias da semana, fatores meteorológicos e autocorrelação. RESULTADOS: Variações do 10&deg; ao 90&deg; percentil dos poluentes foi significativamente associada com o aumento de admissões por doenças respiratórias em menores de 15 anos para PM10 (%RR=10,0), CO (%RR=6,1) e O3 (%RR=2,5). Associação similar foi encontrada para mortalidade em idosos e PM10 (%RR=8,1) e CO (%RR=7,9). CONCLUSÕES: Os resultados encontrados são coerentes com os estudos que apontam associação entre variações de curto prazo dos poluentes atmosféricos e incremento na morbidade e mortalidade nos grandes centros urbanos