3 results for “Long-term ozone data”

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Research ArticleOpen accessIn the keywordsRecent Trends in Ozone and Particle Concentrations in the Sydney (Australia) AirshedMerched Azzi, Hiep DucAn overview is presented of changes in ground level ozone and atmospheric fine particles determined using ambient monitoring data collected at selected locations in Sydney, Australia. After removing seasonally, auto-regressive and moving average dependence from the selected time series, the trend of a selected series was modelled using the fractional long-term dependent component. The selected technique was able to detect … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,682 accessesView PDF Cite

Research ArticleOpen accessIn the abstractForecasting Ozone Concentrations Using Box-Jenkins ARIMA Modeling in MalaysiaWan Rozita Wan Mahiyuddin, Nur Izzah Jamil, Zamtira Seman et al.Time series analysis and forecasting has become a major tool in many applications in air pollution and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins. In this study, we used Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) model on the average of monthly ozone data … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 25 May 2018 · 8,943 accessesView PDF Cite

Research ArticleOpen accessIn the abstractManaging Air in Olympic CitiesQing Wen Tian, Peter BrimblecombeThe 21st century Olympic Agenda aims to align itself with the concept of sustainable development and has driven improved environmental quality in host cities, such as the Green Games in Sydney 2000 and the planned Beijing 2008 Games and in London 2012 as the Low Carbon Games. Air quality has long been a concern of Olympic mega-cities, although the air … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,689 accessesView PDF Cite