Trend analysis of ground level ozone in the greater Vancouver/Fraser Valley area of British Columbia

Vingarzan, Roxanne; Taylor, Bill

doi:10.1016/s1352-2310(03)00158-4

Cited by 39 publications

(29 citation statements)

References 25 publications

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“…For the purpose of trend estimation, regression modelling has been widely used to model pollutants as a function of meteorological parameters; this approach has demonstrated capability of detecting trends that are disguised by meteorological variations. Vingarzan and Taylor [12] and Rao and Zurbenko [13] provide applications of regression models to study trends in ozone concentrations. CO is a pollutant that is known to be involved, although in a minor way, in chemical reactions leading to the production of photochemical smog.…”

Section: Analysis Of Temporal Componentsmentioning

confidence: 99%

Application of Statistical Methods to Assess Carbon Monoxide Pollution Variations within an Urban Area

Capilla

2012

IJG

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In recent years there have been considerable new legislation and efforts by vehicle manufactures aimed at reducing pollutant emission to improve air quality in urban areas. Carbon monoxide is a major pollutant in urban areas, and in this study we analyze monthly carbon monoxide (CO) data from Valencia City, a representative Mediterranean city in terms of its structure and climatology. Temporal and spatial trends in pollution were recorded from a monitoring network that consisted of five monitoring sites. A multiple linear model, incorporating meteorological parameters, annual cycles, and random error due to serial correlation, was used to estimate the temporal changes in pollution. An analysis performed on the meteorologically adjusted data reveals a significant decreasing trend in CO concentrations and an annual seasonal cycle. The model parameters are estimated by applying the least-squares method. The standard error of the parameters is determined while taking into account the serial correlation in the residuals. The decreasing trend implies to a certain extent an improvement in the air quality of the study area. The seasonal cycle shows variations that are mainly associated with traffic and meteorological patterns. Analysis of the stochastic spatial component shows that most of the intersite covariances can be analyzed using an exponential variogram model.

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Section: Analysis Of Temporal Componentsmentioning

confidence: 99%

Application of Statistical Methods to Assess Carbon Monoxide Pollution Variations within an Urban Area

Capilla

2012

IJG

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“…Due to the above importance, long-term trends and the distributions of ozone in the troposphere have been intensively studied (e.g. Carslaw, 2005;Fiore et al, 1998Fiore et al, , 2002Fiore et al, , 2005Fusco and Logan, 2003;Gardner and Dorling, 2000;Jonson et al, 2006;Lelieveld and Dentener, 2000;Logan et al, 1999;Low and Kelly, 1992;Lu and Zhang, 2005;Menezes and Shively 2001;Naja and Akimoto, 2004;Oltmans et al, 1998Oltmans et al, , 2006Qin et al, 2004;Simmonds et al, 2004;Tarasova et al, 2003;Vingarzan and Taylor, 2003).…”

Section: Introductionmentioning

confidence: 99%

Long-term trend of surface ozone at a regional background station in eastern China 1991–2006: enhanced variability

et al. 2008

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Abstract. Information about the long-term trends of surface and tropospheric ozone is important for assessing the impact of ozone on human health, vegetation, and climate. Long-term measurements from East Asia, especially China's eastern provinces, are urgently needed to evaluate potential changes of tropospheric ozone over this economically rapid developing region. In this paper, surface ozone data from the Linan Regional Background Station in eastern China are analyzed and results about the long-term trends of surface ozone at the station are presented. Surface ozone data were collected at Linan during 6 periods between August 1991 and July 2006. The seasonality and the long-term changes of surface ozone at the site are discussed, with focus on changes in the diurnal variations, the extreme values, and the ozone distribution. Some long-term trends of surface ozone, e.g. decrease in the average concentration, increase in the daily amplitude of the relative diurnal variations, increase in the monthly highest 5% of the ozone concentration, decrease in the monthly lowest 5% of the ozone concentration, increase in the frequencies at the high and low ends of the ozone distribution have been uncovered by the analysis. All the trends indicate that the variability of surface ozone has been enhanced. Possible causes for the observed trends are discussed. The most likely cause is believed to be the increase of NO x concentration.

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“…Burrows et al, 1995), annual cycles (e.g. Vingarzan and Taylor, 2003), threshold exceedances (e.g. Smith and Huang, 1993), correlated variables (e.g.…”

Section: Background Chemistry Of Ozonementioning

confidence: 99%

Mixed deterministic statistical modelling of regional ozone air pollution

Kalenderski

Steyn

2011

Environmetrics

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We develop a physically motivated statistical model for regional ozone air pollution by separating the ground-level pollutant concentration field into three components, namely: transport, local production and large-scale mean trend mostly dominated by emission rates. The model is novel in the field of environmental spatial statistics in that it is a combined deterministic-statistical model, which gives a new perspective to the modelling of air pollution. The model is presented in a Bayesian hierarchical formalism, and explicitly accounts for advection of pollutants, using the advection equation. We apply the model to a specific case of regional ozone pollution-the Lower Fraser valley of British Columbia, Canada. As a predictive tool, we demonstrate that the model vastly outperforms existing, simpler modelling approaches. Our study highlights the importance of simultaneously considering different aspects of an air pollution problem as well as taking into account the physical bases that govern the processes of interest.

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Trend analysis of ground level ozone in the greater Vancouver/Fraser Valley area of British Columbia

Cited by 39 publications

References 25 publications

Application of Statistical Methods to Assess Carbon Monoxide Pollution Variations within an Urban Area

Application of Statistical Methods to Assess Carbon Monoxide Pollution Variations within an Urban Area

Long-term trend of surface ozone at a regional background station in eastern China 1991–2006: enhanced variability

Mixed deterministic statistical modelling of regional ozone air pollution

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