2006
DOI: 10.1016/j.envsoft.2004.12.002
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Statistical models to assess the health effects and to forecast ground-level ozone

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Cited by 113 publications
(59 citation statements)
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“…They were widely used during many years and showed satisfactory results, at least for ozone daily maxima (Zeldin and Thomas, 1975;Simpson and Layton, 1983;Robeson and Steyn, 1990). On the other hand, very crude and uncertain (no boundary conditions for example), these systems were gradually less used even if many systems already exist and use sophisticated numerical approaches such as neural networks for air quality short term forecast (Kolehmainen et al, 2001;Chaloulakou et al, 2003;Ibarra-Berastegi et al, 2008;Pfeiffer et al, 2009) and health impacts (Schlink et al, 2006). This paper deals with the "deterministic" atmospheric composition forecast in Europe.…”
Section: Introductionmentioning
confidence: 99%
“…They were widely used during many years and showed satisfactory results, at least for ozone daily maxima (Zeldin and Thomas, 1975;Simpson and Layton, 1983;Robeson and Steyn, 1990). On the other hand, very crude and uncertain (no boundary conditions for example), these systems were gradually less used even if many systems already exist and use sophisticated numerical approaches such as neural networks for air quality short term forecast (Kolehmainen et al, 2001;Chaloulakou et al, 2003;Ibarra-Berastegi et al, 2008;Pfeiffer et al, 2009) and health impacts (Schlink et al, 2006). This paper deals with the "deterministic" atmospheric composition forecast in Europe.…”
Section: Introductionmentioning
confidence: 99%
“…Tropospheric ozone is an important trace gas controlling the oxidation capacity of the atmosphere with well documented adverse effects on human health (Schlink et al, 2006), agriculture (Fuhrer et al, 2003) and natural ecosystems (Scebba, et al, 2005). Tropospheric ozone chemistry includes a large set of complex photochemical reactions involving NO x (=NO 2 +NO) and volatile organic compounds (VOCs) (Crutzen, 1988;Penket, 1988;Seinfeld and Pandis, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…One approach that has proven effective in measuring the effects of meteorological factors on air pollution is statistical modeling [26]. Statistical models are well suited for quantifying and visualizing the nature of pollutant response to individual meteorological parameters as they directly fit to the patterns that arise from the observed data [27].…”
Section: Analysis Of Resultsmentioning
confidence: 99%