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Extreme value analysis of air pollution data and their comparison between two large urban regions of South America

Martins, Leila Droprinchinski LU ; Wikuats, Caroline Fernanda Hei; Capucim, Mauricio Nonato; de Almeida, Daniela S.; da Costa, Silvano Cesar; Albuquerque, Taciana; Barreto Carvalho, Vanessa Silveira; de Freitas, Edmilson Dias; de Fátima Andrade, Maria and Martins, Jorge Alberto LU (2017) In Weather and Climate Extremes
Abstract

Sixteen years of hourly atmospheric pollutant data (1996-2011) in the Metropolitan Area of São Paulo (MASP), and seven years (2005-2011) of data measured in the Metropolitan Area of Rio de Janeiro (MARJ), were analyzed in order to study the extreme pollution events and their return period. In addition, the objective was to compare the air quality between the two largest Brazilian urban areas and provide information for decision makers, government agencies and civil society. Generalized Extreme Value (GEV) and Generalized Pareto Distribution (GPD) were applied to investigate the behavior of pollutants in these two regions. Although GEV and GPD are different approaches, they presented similar results. The probability of higher... (More)

Sixteen years of hourly atmospheric pollutant data (1996-2011) in the Metropolitan Area of São Paulo (MASP), and seven years (2005-2011) of data measured in the Metropolitan Area of Rio de Janeiro (MARJ), were analyzed in order to study the extreme pollution events and their return period. In addition, the objective was to compare the air quality between the two largest Brazilian urban areas and provide information for decision makers, government agencies and civil society. Generalized Extreme Value (GEV) and Generalized Pareto Distribution (GPD) were applied to investigate the behavior of pollutants in these two regions. Although GEV and GPD are different approaches, they presented similar results. The probability of higher concentrations for CO, NO, NO2, PM10 and PM2.5 was more frequent during the winter, and O3 episodes occur most frequently during summer in the MASP. On the other hand, there is no seasonally defined behavior in MARJ for pollutants, with O3 presenting the shortest return period for high concentrations. In general, Ibirapuera and Campos Elísios stations present the highest probabilities of extreme events with high concentrations in MASP and MARJ, respectively. When the regions are compared, MASP presented higher probabilities of extreme events for all analyzed pollutants, except for NO; while O3 and PM2.5 are those with most frequent probabilities of presenting extreme episodes, in comparison other pollutants.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Air pollutants, Extreme events, Megacities, Ozone, Particulate matter
in
Weather and Climate Extremes
publisher
Elsevier
external identifiers
  • scopus:85033389142
ISSN
2212-0947
DOI
10.1016/j.wace.2017.10.004
language
English
LU publication?
yes
id
63a40c73-a2c0-4560-a9d1-e2d370fa206f
date added to LUP
2017-11-21 09:48:02
date last changed
2018-01-07 12:26:20
@article{63a40c73-a2c0-4560-a9d1-e2d370fa206f,
  abstract     = {<p>Sixteen years of hourly atmospheric pollutant data (1996-2011) in the Metropolitan Area of São Paulo (MASP), and seven years (2005-2011) of data measured in the Metropolitan Area of Rio de Janeiro (MARJ), were analyzed in order to study the extreme pollution events and their return period. In addition, the objective was to compare the air quality between the two largest Brazilian urban areas and provide information for decision makers, government agencies and civil society. Generalized Extreme Value (GEV) and Generalized Pareto Distribution (GPD) were applied to investigate the behavior of pollutants in these two regions. Although GEV and GPD are different approaches, they presented similar results. The probability of higher concentrations for CO, NO, NO<sub>2,</sub> PM<sub>10</sub> and PM<sub>2.5</sub> was more frequent during the winter, and O<sub>3</sub> episodes occur most frequently during summer in the MASP. On the other hand, there is no seasonally defined behavior in MARJ for pollutants, with O<sub>3</sub> presenting the shortest return period for high concentrations. In general, Ibirapuera and Campos Elísios stations present the highest probabilities of extreme events with high concentrations in MASP and MARJ, respectively. When the regions are compared, MASP presented higher probabilities of extreme events for all analyzed pollutants, except for NO; while O<sub>3</sub> and PM<sub>2.5</sub> are those with most frequent probabilities of presenting extreme episodes, in comparison other pollutants.</p>},
  author       = {Martins, Leila Droprinchinski and Wikuats, Caroline Fernanda Hei and Capucim, Mauricio Nonato and de Almeida, Daniela S. and da Costa, Silvano Cesar and Albuquerque, Taciana and Barreto Carvalho, Vanessa Silveira and de Freitas, Edmilson Dias and de Fátima Andrade, Maria and Martins, Jorge Alberto},
  issn         = {2212-0947},
  keyword      = {Air pollutants,Extreme events,Megacities,Ozone,Particulate matter},
  language     = {eng},
  month        = {11},
  publisher    = {Elsevier},
  series       = {Weather and Climate Extremes},
  title        = {Extreme value analysis of air pollution data and their comparison between two large urban regions of South America},
  url          = {http://dx.doi.org/10.1016/j.wace.2017.10.004},
  year         = {2017},
}