High ozone levels in the northeast of Portugal: Analysis and characterization

Carvalho, Anabela; Monteiro, A.; Ribeiro, Isabel; Tchepel, Oxana; Miranda, Ana Isabel; Borrego, Carlos; Saavedra, Santiago; Souto, José A.; Casares, J.J.

doi:10.1016/j.atmosenv.2009.12.020

Cited by 51 publications

(31 citation statements)

References 46 publications

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“…In urban areas, O 3 concentrations are usually lower than the values observed in rural areas [17][18][19][20]. This phenomenon occurs mainly due to high NO x concentrations.…”

Section: Introductionmentioning

confidence: 88%

“…Russo et al [33] mentioned that high-ozone episodes can be explained by several factors: (i) atmospheric stagnation; (ii) horizontal transport by the wind of ozone-rich air masses; (iii) high solar radiation and temperature; and (iv) the influence of local winds (sea breezes and valley winds). Carvalho et al [19] observed a positive correlation between O 3 concentrations with temperature and a negative correlation with relative humidity. Regarding the effect of wind field, the northeast flow from Spain (Galicia and Asturias) was observed, and this can be associated with the long-range transport of atmospheric pollutants to Portugal.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Surface Ozone Behavior at Different Regimes

Afonso

Pires

2017

Applied Sciences

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Previous studies showed that the influence of meteorological variables and concentrations of other air pollutants on O 3 concentrations changes at different O 3 concentration levels. In this study, threshold models with artificial neural networks (ANNs) were applied to characterize the O 3 behavior at an urban site (Porto, Portugal), describing the effect of environmental and meteorological variables on O 3 concentrations. ANN characteristics, and the threshold variable and value, were defined by genetic algorithms (GAs). The considered predictors were hourly average concentrations of NO, NO 2 , and O 3 , and meteorological variables (temperature, relative humidity, and wind speed) measured from January 2012 to December 2013. Seven simulations were performed and the achieved models considered wind speed (at 4.9 m·s −1 ), temperature (at 17.5 • C) and NO 2 (at 26.6 µg·m −3 ) as the variables that determine the change of O 3 behavior. All the achieved models presented a similar fitting performance: R 2 = 0.71-0.72, RMSE = 14.5-14.7 µg·m −3 , and the index of agreement of the second order of 0.91. The combined effect of these variables on O 3 concentration was also analyzed. This statistical model was shown to be a powerful tool for interpreting O 3 behavior, which is useful for defining policy strategies for human health protection concerning this air pollutant.

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“…In urban areas, O 3 concentrations are usually lower than the values observed in rural areas [17][18][19][20]. This phenomenon occurs mainly due to high NO x concentrations.…”

Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Characterization of Surface Ozone Behavior at Different Regimes

Afonso

Pires

2017

Applied Sciences

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“…Some of the known reasons can be the enhanced photochemistry after a winter accumulation of air pollutants (Penkett and Brice, 1986;Fernández-Fernández et al, 2011), StratosphericTropospheric exchange of O 3 which further intrudes into the boundary layer (Atlas et al, 2003), long and short range transport (Carvalho et al, 2010) and variability of meteorological parameters (Kulkarni et al, 2013). The summer maxima of surface O 3 concentration in JulyAugust seems to be due to high temperatures observed in the region during July-August period along with the variability in the number and in the magnitude of forest fires occurring in and around Portugal (Carvalho et al, 2011).…”

Section: Seasonal and Inter-annual Variationmentioning

confidence: 99%

“…For example, Sicard et al (2009) There have been various studies on the analysis of surface O 3 using different statistical techniques in different regions of Portugal, particularly over northern Portugal (Pio et al, 2000;Pereira et al, 2005;Alvim-Ferraz et al, 2006;Sousa et al, 2009a;Carvalho et al, 2010;Sousa et al, 2010). Pereira et al (2005) observed surface O 3 exceedance of public information values and alert levels defined by air quality framework directive for Europe around Oporto region during the study period.…”

Section: Introductionmentioning

confidence: 99%

Surface Ozone Variability and Trend over Urban and Suburban Sites in Portugal

Kulkarni

Bortoli

Domingue

et al. 2016

Aerosol Air Qual. Res.

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The surface ozone time series is analyzed for the seasonal and inter-annual variations and the trend in the following three categories ( (1) original surface ozone time series and of (2) deseasonalized surface ozone time series for all the three data set categories and for all the 8 sites was performed and found to be statistically significant at 6 sites for monthly mean and 8 hr monthly mean and at 5 sites for daily maximum monthly meanusing the non-parametric Mann-Kendall test. The analysis of original surface ozone time series showed a positive trend at 6 out of 8 sites, but the results were not statistically significant for most of the sites due to the presence of the annual cycle masking the actual trend values. However, the analysis of deseasonalized surface ozone time series showed a statistically significant increasing trend at 7 out of 8 sites with high Z values. The positive trends found in the deseasonalized surface ozone time series were in the range 0.44 up to 1.42 µg m -3 year -1 for the monthly mean surface ozone time series (7 stations), 0.33 up to 1.43 µg m -3 year -1 in the case of the 8 hr monthly mean surface ozone time series (7 stations) and 0.66 up to 1.55 µg m -3 year -1 in the daily maximum monthly mean surface ozone time series (6 stations).

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“…Así lo ha destacado Gerasopoulos et al (2006) en la ciudad de Finokalia, en Creta. En la Península Ibérica sobresalen varios estudios; sobre el noreste de Portugal, Carvalho et al (2010), caracterizaron las condiciones atmosféricas asociadas a episodios de alta concentración de ozono en la ciudad de Lamas d'Olo. Adame et al (2010), investigaron las variaciones temporales del ozono en cuatro estaciones del suroeste de la Península Ibérica (El Arenosillo, Cartaya, Huelva y Valverde) y las superaciones de los umbrales establecidos por la UE.…”

Section: Antecedentes Y Estado De La Cuestiónunclassified

El Contraste Intraurbano De La Contaminación Del Aire Por No2 Y O3: Estudio en Grandes Ciudades Españolas Con Datos Observados E Interpolados Con Sig

Torrecilla

Jiménez

2017

GeoFocus

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1, antonio.moreno@uam.es 2 RESUMEN La calidad del aire está determinada por un alto número de componentes cuya presencia e interacciones en ámbitos como las ciudades resultan de singular trascendencia para la vida humana. En este artículo se pretende estudiar dos conocidos contaminantes, el dióxido de nitrógeno y el ozono troposférico, con el objetivo de explorar y desvelar la forma e intensidad de la hipotética relación entre ambos cuando se analiza espacialmente. A tal fin, dada la limitación de la información disponible, se ha adoptado un doble enfoque: analizar, por un lado, los datos registrados en las estaciones de superficie y, por otro, los estimados mediante interpolación espacial, una de las técnicas usuales para "conocer" dicha polución en todo el espacio urbano. Ello permite confrontar y controlar mejor los resultados mutuos. Experimentalmente se han examinado datos de tres ciudades españolas, Madrid, Barcelona y Sevilla, utilizando una pluralidad de técnicas estadísticas, gráficas y cartográficas, apoyadas en sistemas de información geográfica. Los resultados alcanzados muestran que el NO 2 y el O 3 exhiben patrones espaciales contrapuestos y que entre ambos existe una dependencia espacial, tanto en los datos observados, como en los datos estimados. No obstante, en algunos casos la forma y significación de las relaciones espaciales no ha podido quedar claramente determinada, en gran medida por el escaso número de datos observados. La coherencia de los resultados en ambas aproximaciones posibilita así un cierto optimismo a la hora de elaborar caracterizaciones y diagnósticos de la atmósfera urbana con modelos espaciales de este tipo.Palabras clave: interpolación espacial, SIG, contaminación atmosférica, dióxido de nitrógeno, ozono, Madrid, Barcelona, Sevilla.

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High ozone levels in the northeast of Portugal: Analysis and characterization

Cited by 51 publications

References 46 publications

Characterization of Surface Ozone Behavior at Different Regimes

Characterization of Surface Ozone Behavior at Different Regimes

Surface Ozone Variability and Trend over Urban and Suburban Sites in Portugal

El Contraste Intraurbano De La Contaminación Del Aire Por No2 Y O3: Estudio en Grandes Ciudades Españolas Con Datos Observados E Interpolados Con Sig

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