Accounting for meteorological effects in measuring urban ozone levels and trends

Bloomfield, Peter; Royle, J. Andrew; Steinberg, Laura J.; Yang, Qiong

doi:10.1016/1352-2310(95)00347-9

Cited by 168 publications

(103 citation statements)

References 7 publications

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“…Several statistical models have been suggested to describe the increase in the ozone concentrations with ambient air temperature. Among others, models linear in temperature after some temporal filtering of both ozone and the meteorological variables (Kuebler et al, 2001;Tarasova and Karpetchko, 2003), a second or higher order polynomial in temperature (Brönnimann et al, 2002;Bloomfield et al, 1996) or linear regression of the logarithm of daily ozone maxima with daily maximum temperature as a categorical variable (Xu et al, 1996) have been proposed. Scatterplots of the daily ozone maxima against the different meteorological variables used in the analysis suggested that, at least in summer and spring, the afternoon temperature had the strongest relationship to ozone.…”

Section: Meteorological Datamentioning

confidence: 99%

“…Some of those studies modelled separately the association between each ozone monitor and local meteorology (Cox and Chu, 1996;Joe et al, 1996), while the most complex analyses derived a univariate summary of the ozone monitoring network to capture regional associations between ozone and meteorology (Bloomfield et al, 1996;Davis et al, 1998). Thompson et al (2001) presented a critical review of those methods and compared the application of selected methods to ozone time series from the Chicago area.…”

Section: Introductionmentioning

confidence: 99%

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Changes of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003

et al. 2005

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Abstract. An Analysis of Covariance (ANCOVA) was used to derive the influence of the meteorological variability on the daily maximum ozone concentrations at 12 low-elevation sites north of the Alps in Switzerland during the four seasons in the 1992-2002 period. The afternoon temperature and the morning global radiation were the variables that accounted for most of the meteorological variability in summer and spring, while other variables that can be related to vertical mixing and dilution of primary pollutants (afternoon global radiation, wind speed, stability or day of the week) were more significant in winter. In addition, the number of days after a frontal passage was important to account for ozone build-up in summer and ozone destruction in winter. The statistical model proved to be a robust tool for reducing the impact of the meteorological variability on the ozone concentrations. The explained variance of the model, averaged over all stations, ranged from 60.2% in winter to 71.9% in autumn. The year-to-year variability of the seasonal medians of daily ozone maxima was reduced by 85% in winter, 60% in summer, and 50% in autumn and spring after the meteorological adjustment. For most stations, no significantly negative trends (at the 95% confidence level) of the summer medians of daily O 3 or O x (O 3 +NO 2 ) maxima were found despite the significant reduction in the precursor emissions in Central Europe. However, significant downward trends in the summer 90th percentiles of daily O x maxima were observed at 6 sites in the region around Zürich (on average −0.73 ppb yr −1 for those sites). The lower effect of the titration by NO as a consequence of the reduced emissions could partially explain the significantly positive O 3 trends in the cold seasons (on average 0.69 ppb yr −1 in winter and 0.58 ppb yr −1 in autumn). The increase of O x found for most stations in autumn (on average 0.23 ppb yr −1 ) and winter (on average 0.39 ppb yr −1 ) could be due to increasing European background ozone levCorrespondence to: A. S. H. Prévôt (andre.prevot@psi.ch) els, in agreement with other studies. The statistical model was also able to explain the very high ozone concentrations in summer 2003, the warmest summer in Switzerland for at least ∼150 years. On average, the measured daily ozone maximum was 15 ppb (nearly 29%) higher than in the reference period summer 1992-2002, corresponding to an excess of 5 standard deviations of the summer means of daily ozone maxima in that period.

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Section: Meteorological Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Changes of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003

et al. 2005

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“…The increased photochemical ozone production observed in the Mediterranean region may be attributed to the high level of solar irradiance in combination with the emissions of anthropogenic ozone precursors. These precursors may be transported over long distances under certain meteorological conditions, resulting in surface ozone formation far from the sources (Bloomfield et al, 1996;Gardner and Dorling, 2000;Dueñas et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Prognosis of maximum daily surface ozone concentration within the greater Athens urban area, Greece

2014

Global NEST Journal

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In recent decades, there has been an increasing interest in the prognosis of maximum surface ozone concentrations due to the adverse effects on human health, animal population, agricultural productivity and forestry. The present study deals with the development and application of Artificial Neural Network (ANN) models in predicting the maximum daily surface ozone concentration in several locations within the greater Athens area (GAA), 24-hours in advance. Meteorological and air pollution data during the period 2001 to 2005 were provided by the network of the Hellenic Ministry of the Environment, Energy and Climate Change. Hourly values of barometric pressure and total solar irradiance for the same period have been recorded by the National Observatory of Athens. A training data set for the ANN prognostic model was generated by employing the superposed epoch analysis.The evaluation of the performance of the developed model, using appropriate statistical indices, clearly indicates that the risk of surface ozone values exceeding the European Union (EU) threshold for human health protection can be successfully predicted. This suggests that the proposed ANN model can be used to issue warnings for the general public and especially certain sensitive groups of the population.

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“…Although the relationship between some meteorological parameters and surface ozone has been statistically established for some sites, both in urban and remote conditions (Bloomenfield et al, 1996;Dapeng Xu et. al., 1996, Gardner andDorling, 2000), the physical background of the statistical results is not completely understood yet.…”

Section: Introductionmentioning

confidence: 99%

“…We chose temperature, pressure, wind speed and relative humidity as proxies for the model as they are the only available meteorological parameters. Moreover they are the usual proxies for the regression models of the surface ozone (Bloomenfield et al, 1996;Roemer, 2001) and characterize main processes driven by local meteorology like in situ photochemical production, deposition and vertical transport. Despite the fact that those parameters are not completely independent, we will consider the variables to be complementary because they influence ozone through different processes.…”

Section: Regression For Daily Mean Ozonementioning

confidence: 99%

Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)

Tarasova

Karpetchko

2003

Atmos. Chem. Phys.

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Abstract.The relationship between local meteorological conditions and the surface ozone variability was studied by means of statistical modeling, using ozone and meteorological parameters measured at Lovozero (250 m a.s.l., 68.5 • N, 35.0 • E, Kola Peninsula) for the period of 1999-2000. The regression model of daily mean ozone concentrations on such meteorological parameters as temperature, relative humidity and wind speed explains up to 70% of day-to-day ozone variability in terms of meteorological condition changes, if the seasonal cycle is also considered. A regression model was created for separated time scales of the variables. Shortterm, synoptical and seasonal components are separated by means of Kolmogorov-Zurbenko filtering. The synoptical scale variations were chosen as the most informative from the point of their mutual relation with meteorological parameters. Almost 40% of surface ozone variations in time periods of 11-60 days can be explained by the regression model on separated scales that is 30% more efficient than ozone residuals usage. Quantitative and qualitative estimations of the relations between surface ozone and meteorological predictors let us preliminarily conclude that at the Lovozero site surface ozone variability is governed mainly by dynamical processes of various time scale rather than photochemistry, especially during the cold season.

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Accounting for meteorological effects in measuring urban ozone levels and trends

Cited by 168 publications

References 7 publications

Changes of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003

Changes of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003

Prognosis of maximum daily surface ozone concentration within the greater Athens urban area, Greece

Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)

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