Impacts of urban emissions and air quality in São Paulo State, Brazil

被引:0
作者
de Sousa, Anderson Silva [1 ]
de Gois, Givanildo [2 ]
Paiva, Roberta Fernanda da Paz de Souza [3 ]
Pimentel, Luiz Claudio Gomes [4 ]
Terassi, Paulo Miguel de Bodas [5 ]
Sobral, Bruno Serafini [6 ]
Muniz, Marcelo Alves [7 ]
机构
[1] Fluminense Fed Univ UFF, BR-27255250 Volta Redonda, RJ, Brazil
[2] Fed Univ Acre UFAC, BR-69980000 Cruzeiro Do Sul, AC, Brazil
[3] Fed Fluminense Univ UFF, Ind Met Engn Sch Volta Redonda, BR-27255250 Volta Redonda, RJ, Brazil
[4] Fed Univ Rio de Janeiro UFRJ, Geosci Inst IGEO, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ, Brazil
[5] Univ Sao Paulo, Dept Geog, BR-05508000 Sao Paulo, SP, Brazil
[6] State Secretary Cities SECID RJ, Land & Cartog Inst Rio de Janeiro ITERJ, BR-20060060 Rio De Janeiro, Brazil
[7] Fed Univ Acre UFAC, BR-69980000 Cruzeiro Do Sul, AC, Brazil
关键词
Time series; Urban climate; Air pollution; Meteorological systems; Atmospheric pollution research; SAO-PAULO; METROPOLITAN-AREA; METEOROLOGICAL CONDITIONS; PARTICULATE MATTER; TEMPORAL VARIABILITY; HOSPITAL ADMISSIONS; MONTHLY RAINFALL; MISSING VALUES; PUBLIC-HEALTH; POLLUTION;
D O I
10.1007/s10661-024-12529-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 S & atilde;o 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 PM(10)data from 6 air quality stations operated by Environmental Company of the State of S & atilde;o 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 (G(1)). Contrariwise, NO2 and PM10 formed two homogeneous groups (G(1) and G(2)) 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 G(1) and G(2) 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.
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页数:29
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