Temporal variation of oxides of sulphur and nitrogen in ambient air in eastern Canada: 1979-1994
The temporal variation of daily ambient concentrations of particulate SO 2 4 -, NO 3 - , NH 4 + and gaseous SO 2 and HNO 3 , and total-NO 3 (i.e. HNO 3 + NO 3 ) in eastern Canada was studied by fitting (using the maximum likelihood statistical technique) a temporal model that included long-term tren...
Gespeichert in:
Veröffentlicht in: | Tellus. Series B, Chemical and physical meteorology Chemical and physical meteorology, 1997-01, Vol.49 (3), p.270-291 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The temporal variation of daily ambient concentrations of particulate SO
2
4
-, NO
3
-
, NH
4
+
and gaseous SO
2
and HNO
3
, and total-NO
3
(i.e. HNO
3
+ NO
3
) 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, SO
2
ambient air concentration decreased by 21 to 43% at 5 of the 8 sites. During the same period HNO
3
and total-NO
3
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 SO
2
. 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 SO
2
and NO
3
-
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 SO
2
and NO
3
-
than for the other compounds. |
---|---|
ISSN: | 0280-6509 1600-0889 |
DOI: | 10.3402/tellusb.v49i3.15967 |