Avaliação de impacto à saúde da poluição do ar no município de Diadema, Brasil

Silva, Laiana Tamion da; Abe, Karina Camasmie; Miraglia, Simone Georges El Khouri

doi:10.5327/z2176-947820170258

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…However, despite the particularities of air pollution sources and dynamics, few atmospheric studies were dedicated to the ABC region. Most of them focused on air pollution health impacts (e.g., Chiarelli et al, 2011;Negrete et al, 2010;Silva et al, 2017), on urban climate (Valverde, 2017;Valverde et al, 2020), and a few on ambient air pollution measurements (Saiki et al, 2007;Savóia et al, 2009;Caumo et al, 2017;Guimarães et al, 2019). This study contributes to the filling of this gap, describing the variability of air pollutant concentrations in the ABC region, accounting for its particularities on pollution sources and atmospheric conditions.…”

Section: Introductionmentioning

confidence: 99%

Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region

Silva

Oliveira

Drumond

et al. 2021

Rev. Bras. Ciênc. Ambient.

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Air pollution is one the main environmental problems in urban areas like the Metropolitan Area of São Paulo (MASP) in Brazil, where millions of inhabitants are exposed to pollution concentrations above the standards, with potential health impacts. Exposure is unequal throughout MASP, relying on the dynamics of local emission sources interplaying with weather and climate in a regional scale. The ABC region — ABC standing for Santo André, São Bernardo do Campo and São Caetano do Sul, the cities the area originally comprised of — is MASP’s largest industrial center, sitting in its southeast border, and encloses environmental protection areas. That leads to a unique emission profile that differ from the metropolis center. This study aims to characterize the variability of atmospheric pollutants in the ABC region in 2015, investigating possible sources and associations with surface meteorological conditions. Multivariate statistical analyses were applied to data from seven air quality monitoring stations and surface meteorological variables. Results show that São Bernardo do Campo stood out, with O3 concentrations 20% higher (43±19 µg.m-3) than the other sites, while São Caetano do Sul had the highest annual mean PM10 concentrations (39±19 µg.m-3), mostly related to vehicular emissions. Relative humidity was negatively correlated with primary pollutants, while temperature and radiation correlated with O3. Unusually high O3 concentrations were observed in January of 2015, concomitant with negative anomalies of precipitation and relative humidity, likely associated with the 2014/2015 summer drought event in Southeast Brazil. Overall, results show that local emission sources significantly impact air pollution loading and its diurnal variability, particularly in the case of primary pollutants. Climate modulates the seasonal concentration variability, and regional scale weather phenomena may impact air quality conditions. To reach concentration standards everywhere, policy makers must be aware of processes occurring in different spatial scales that determine air quality.

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Section: Introductionmentioning

confidence: 99%

Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region

Silva

Oliveira

Drumond

et al. 2021

Rev. Bras. Ciênc. Ambient.

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“…Several studies on determinants of respiratory diseases in general, conducted by Antunes et al (2014), in different regions of Salvador, BA, and on the incidence of tuberculosis, conducted by Acosta and Bassanesi (2014), in different regions of the city of Porto Alegre, RS, also identified an association between schooling, income, sanitation services, health services, and characteristics and location of the houses and a higher number of cases. The relationship between atmospheric contaminants and health problems is also the focus of research studies carried out by Silva et al (2017), Abe and Miraglia (2018) and Corá et al (2020), drawing attention to determinants related to industrialization, urban mobility, and the importance of public policies for transportation and air pollution control.…”

Section: Socio-environmental Determinants Of Healthmentioning

confidence: 99%

Participatory process for mapping socio-environmental determinants of health by community agents: Contributions to urban management and planning

Toledo

Koury

Carvalho

et al. 2021

Rev. Bras. Ciênc. Ambient.

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Studies about socio-environmental determinants are recognized as important to better understand the factors that influence health and quality of life, and how they operate to generate inequalities. This article reports the mapping of socio-environmental determinants of health, carried out by community health agents from the community of Paraisópolis, the second-largest slum in the city of São Paulo (state of São Paulo), seeking to analyze potential contributions of this participatory process to urban management and planning. As part of an action research study and following the stages of Paulo Freire’s Research Itinerary (Culture Circles), the mapping was carried out by integrating the Talking Map technique with Geographic Information Systems (GIS), in what has been called Participatory GIS or Geographic Information Systems with Social Participation (PGIS). Positive aspects were recognized and addressed by community agents, as well as several situations of socio-environmental vulnerability as a result of the agglomerated nature of the place, directly related to urban management and planning needs. This shows that, through a participatory mapping process, citizens cannot only better identify, but also more effectively communicate their needs and qualify intervention strategies in the territory. Therefore, it is possible to address the residents’ priorities more representatively, especially in places where traditionally marginalized social groups live. And also, community health agents, who play a central role in this research process because they live and work in the same place, are fundamental to boost, mobilize, and support the complex aspects involved, both in Primary Health Care, as well as in urban management and planning.

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“…The most affected polluted area in Brazil is São Paulo State which stems from its demographic features that possess almost 46 million inhabitants (IBGE 2019 ). From this total, almost 25% reside in São Paulo City, 1521 km 2 in area, correlated with the largest vehicle fleet in the country, exceeding 8 million vehicles (~ 90% light vehicles) (Dapper et al 2016 ; Silva et al 2017 ; Koga et al 2020 ; Ministério da infraestrutura 2020 ). Given this perspective, the emission of NO (nitrogen monoxide) and NO 2 (nitrogen dioxide), which are pollutants derived directly from the burning of fossil fuels, stands out as major air pollutants in urbanized areas (Ribas et al 2016 ).…”

Section: Introductionmentioning

confidence: 99%

São Paulo’s atmospheric pollution reduction and its social isolation effect, Brazil

Rosse

Pereira

Boari

et al. 2020

Air Qual Atmos Health

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Since January 2020, studies report reductions in air pollution among several countries due to social isolation measures, which have been adopted in order to contain the coronavirus outbreak progress (COVID-19). This study aims to evaluate the change in the atmospheric pollution levels by NO and NO 2 in São Paulo City for the social isolation period. The NO and NO 2 hourly concentrations were obtained through air quality monitoring stations from CETESB, from January 14, 2020 to April 12, 2020. Mann-Kendall and the Pettitt tests were performed in the air pollutant time series. We observed an overall negative trend in all stations, indicating a decreasing temporal pattern in concentrations. Regarding NO, the highest absolute decrease rates were observed in the Congonhas (− 6.39 μg m −3 month −1 ) and Marginal Tietê (− 6.19 μg m −3 month −1 ) stations; regarding NO 2 , the highest rates were observed in the Marginal Tietê (− 4.45 μg m −3 month −1 ) and Cerqueira César (− 4.34 μg m −3 month −1 ) stations. In addition, we identified a turning point in the NO and NO 2 series trends that occurred close to the start date of the social isolation period (March 20, 2020). Moreover, from statistical analysis, it was found that NO 2 is a suitable surrogate for monitoring economic activities during social isolation periods. Thus, we concluded that social isolation measures implemented on March 20, 2020 caused significant changes in the air pollutant concentrations in the city of São Paulo (as high as − 200% in NO 2 levels).

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Avaliação de impacto à saúde da poluição do ar no município de Diadema, Brasil

Cited by 8 publications

References 19 publications

Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region

Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region

Participatory process for mapping socio-environmental determinants of health by community agents: Contributions to urban management and planning

São Paulo’s atmospheric pollution reduction and its social isolation effect, Brazil

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