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[pt] AVALIAÇÃO DA QUALIDADE DO AR NO RÉVEILLON EM COPACABANA, RIO DE JANEIRO / [en] NEW YEAR S AIR QUALITY ASSESSMENT IN COPACABANA, RIO DE JANEIROANA CAROLINA DE OLIVEIRA CARVALHO 18 October 2022 (has links)
[pt] O Réveillon em Copacabana, no Rio de Janeiro, na virada do dia 31/12 para
o dia 01/01, ocorre com a queima de 17 a 25 t de fogos de artifícios com duração
entre 12 a 17 minutos. Estudos realizados em outros países durante comemorações
com queima de fogos mostram um aumento significativo de alguns poluentes no ar.
Este estudo avaliou a qualidade do ar em Copacabana durante as comemorações do
ano novo de 2015 a 2020, considerando as concentrações do MP10, SO2, CO e O3
amostrados na estação automática. Pelo teste de Shapiro-Wilk, uma distribuição
assimétrica no banco de dados foi observada, e através do teste não paramétrico as
concentrações diárias entre os dias 31 de dezembro e 01 de janeiro foram testadas.
A composição química MP2,5 amostrado na estação semiautomática de Copacabana
em 2019, foi realizada através das técnicas analíticas de cromatografia de íons (CI)
e espectrometria de massa por plasma acoplado indutivamente (ICP-MS), traduzido
do inglês, inductively coupled plasma mass spectrometry. Durante o ano de 2019,
as concentrações diária e anual do MP(2,5) não ultrapassaram os padrões nacionais de
qualidade do ar, mas segundo os padrões recomendados pela OMS, a qualidade do
ar esteve inapropriada. As concentrações elementares e iônicas determinadas por
ICP-MS e CI indicaram espécies características de fontes veiculares e naturais. Em
01 de janeiro de 2020 a concentração dos íons Cl(-) e Na(+), foi atribuída ao spray marinho, e a ausência dos ânions C2H3COO(-), CH2(COO)2(2-) CHOO(-) e C2O4(2-) foi atribuída à diminuição da circulação urbana. / [en] New Year s Eve in Copacabana, Rio de Janeiro, at the turn of 12/31 to 01/01,
takes place with the burning of 17 to 25 t of fireworks lasting between 12 and 17
minutes. Studies carried out in other countries during celebrations with fireworks
show a significant increase in some pollutants in the air. This study evaluated the
air quality in Copacabana during the New Year celebrations from 2015 to 2020,
considering the concentrations of PM10, SO2, CO and O3 sampled at the automatic
station. By the Shapiro-Wilk test, an asymmetry distribution in the database was
observed, and through the non-parametric test the daily concentrations between
December 31st and January 1st were tested. The chemical composition PM2.5
sampled at the semi-automatic station in Copacabana in 2019 was performed using
analytical techniques of ion chromatography (IC) and inductively coupled plasma
mass spectrometry (ICP-MS). During the year 2019 concentrations of PM2.5 not
exceeded to national air quality standards, but according to the standards
recommended by the WHO, the air quality was inappropriate. The elemental and
ionic concentrations determined by ICP-MS and CI indicated species characterized
from vehicular and natural sources. On January 1, 2020, the concentration ions of
Cl(-)and Na(+) was attributed to marine spray, and the absence of the anions C2H3COO(-), CH2(COO)2(2-) CHOO(-) e C2O4(2-) was attributed to the lowest urban circulation.
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Application of Remotely-sensed Aerosol Optical Depth in Characterization and Forecasting of Urban Fine Particulate MatterGrant, Shanique L. 24 September 2014 (has links)
No description available.
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233 |
Model Based Investigation of Lean Gasoline PM and NOx ControlShivaprasad, Shreyas January 2014 (has links)
No description available.
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234 |
Air Pollution and Cardiovascular DysfunctionGorr, Matthew W. 19 May 2015 (has links)
No description available.
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Development of Gray Level Co-occurrence Matrix based Support Vector Machines for Particulate Matter CharacterizationTirumazhisai Manivannan, Karpagam 25 October 2012 (has links)
No description available.
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Mechanisms of Particulate Matter-Induced Experimental AsthmaSaunders, Vanessa C. 13 April 2010 (has links)
No description available.
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The Effects of Diesel Exhaust and Particulate Matter on the Growth, Reproduction, and Ecophysiology of PlantsJaconis, Susan Yvonne 12 October 2015 (has links)
No description available.
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Land Use Random Forests for Estimation of Exposure to Elemental Components of Particulate MatterBrokamp, Richard C. 02 June 2016 (has links)
No description available.
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239 |
Determination of Atmospheric Particulate Matter Composition in the Dayton Metro AreaPatel, Saagar Mahendra 10 June 2016 (has links)
No description available.
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240 |
Mid-IR Plasmonics, Cavity Coupled Excitations, and IR Spectra of Individual Airborne Particulate MatterLuthra, Antriksh 08 August 2017 (has links)
No description available.
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