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Sirois, Alain (2011)
Publisher: Tellus B
Journal: Tellus B
Languages: English
Types: Article
The temporal variation of daily ambient concentrations of particulate SO42−, NO3−, NH4+ and gaseous SO2 and HNO3, and total-N03 (i.e. HNO3 + NO3) in eastern Canada was studied by fitting (using the maximum likelihood statistical technique) a temporal model that included long-term trend, long-term cycles, seasonal cycles and an auto-regressive model. The technique allowed for missing data and used kernel smoothing and spectral analysis to facilitate the selection of the right model. It was first found that the long-term trends were neither linear nor monotonic. Between the beginning of the 80s and 90s, SO2 ambient air concentration decreased by 21 to 43% at 5 of the 8 sites. During the same period HNO3 and total-NO3 concentrations increased at 7 of the 8 sites. For the other compounds, no systematic variations were found for that period and any overall increases or decreases were small. Long-term cycles were found for 70% of the time-series but their amplitudes were small and they represented only a small fraction of the total variance for each time-series. Seasonal cycles with large amplitudes were found only for SO2. For the other compounds, statistically significant seasonal cycles were obtained but they had small amplitudes. Auto-regressive models of order 2 were necessary for most of the time-series. For some SO2and NO3− time-series, auto-regressive models of order 1 were sufficient. For the other compounds, auto-regressive models of order 3 were necessary for some of the time-series. These results indicate that the air masses that arrived at the sites were less homogeneous in the case of SO2 and NO3− than for the other compounds.DOI: 10.1034/j.1600-0889.49.issue3.4.x
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