Anderson Silva de Sousa
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Anderson Silva de Sousa has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bruno Serafini Sobral
Land and Cartography Institute of Rio de Janeiro (ITERJ), Rio de Janeiro, Brazil
1 shared publication - Givanildo de Gois
Institute of Atmospheric Sciences, Federal University of Alagoas, Maceió 57072-900, Brazil
1 shared publication - Luiz Claudio Gomes Pimentel
Graduate Program in Meteorology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
1 shared publication - Marcelo Alves Muniz
Graduate Program in Environmental Sciences (PPGCA), Federal University of Acre (UFAC), Multidisciplinary Center (CMULTI), Estrada Canela Fina, km 12, Gleba Formoso, Lote 245, Colônia São Francisco, Cruzeiro do Sul 69980-000, AC, Brazil
1 shared publication - Paulo Miguel de Bodas Terassi
Universidade de São Paulo
1 shared publication - Roberta Fernanda da Paz de Souza Paiva
Universidade Federal Fluminense
1 shared publication
Latest Publications
- 6 April 2024
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 196 (5) , 1-29
Impacts of urban emissions and air quality in São Paulo State, Brazil
Daily violations of air quality have an impact on urban populations and cause damage to the environment. Thus, the study evaluated the violations of the daily concentrations of SO2, NO2, and PM10, in regions of the State of São Paulo (SSP), based on the National Environment Council (CONAMA) resolution no 491/2018 and the World Health Organization (WHO - World Health Organization. (2016). Ambient air pollution: a global assessment of exposure and burden of disease.) criteria. Daily SO2, NO2, and PM10data from 6 air quality stations operated by Environmental Company of the State of São Paulo CETESB (1996–2011) were organized and submitted to quality control, with data faults (gaps) being identified. The imputation of data via spline proved satisfactory in filling in the gaps (r > 0.7 and low values of Standard Error of the Estimate (SEE) and Root Mean Square Error (RMSE). The cluster analysis (CA) applied to SO2 formed only one homogeneous group (G1). Contrariwise, NO2 and PM10 formed two homogeneous groups (G1 and G2) each. The stations that showed the greatest similarity according to the CA were Cerqueira Cesar and Osasco. The cophenetic matrix generated for SO2 (0.83), NO2 (0.79), and PM10 (0.77) indicate a satisfactory adjustment of the dendrograms. The exploratory statistics applied to groups G1 and G2 point to the high variability of outliers. The WHO criteria are more restrictive than CONAMA regarding daily violations, with a reduction in SO2 and an increase in specific years for NO2 and PM10. Such variability is due to the adoption of public policies by the SSP and the influence of meteorological systems, being confirmed by the Run test that indicated oscillations in the time series, mainly in PM10, and also recognized well-defined biannual cycles.
- 6 April 2024
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 196 (5) , 1-29
Impacts of urban emissions and air quality in São Paulo State, Brazil
Daily violations of air quality have an impact on urban populations and cause damage to the environment. Thus, the study evaluated the violations of the daily concentrations of SO2, NO2, and PM10, in regions of the State of São Paulo (SSP), based on the National Environment Council (CONAMA) resolution no 491/2018 and the World Health Organization (WHO - World Health Organization. (2016). Ambient air pollution: a global assessment of exposure and burden of disease.) criteria. Daily SO2, NO2, and PM10data from 6 air quality stations operated by Environmental Company of the State of São Paulo CETESB (1996–2011) were organized and submitted to quality control, with data faults (gaps) being identified. The imputation of data via spline proved satisfactory in filling in the gaps (r > 0.7 and low values of Standard Error of the Estimate (SEE) and Root Mean Square Error (RMSE). The cluster analysis (CA) applied to SO2 formed only one homogeneous group (G1). Contrariwise, NO2 and PM10 formed two homogeneous groups (G1 and G2) each. The stations that showed the greatest similarity according to the CA were Cerqueira Cesar and Osasco. The cophenetic matrix generated for SO2 (0.83), NO2 (0.79), and PM10 (0.77) indicate a satisfactory adjustment of the dendrograms. The exploratory statistics applied to groups G1 and G2 point to the high variability of outliers. The WHO criteria are more restrictive than CONAMA regarding daily violations, with a reduction in SO2 and an increase in specific years for NO2 and PM10. Such variability is due to the adoption of public policies by the SSP and the influence of meteorological systems, being confirmed by the Run test that indicated oscillations in the time series, mainly in PM10, and also recognized well-defined biannual cycles.