## Abstract This study investigated using Monte Carlo simulation the interaction between a linear trend and a lagβone autoregressive (AR(1)) process when both exist in a time series. Simulation experiments demonstrated that the existence of serial correlation alters the variance of the estimate of
The ability of wet deposition networks to detect temporal trends
β Scribed by Gary W. Oehlert
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 804 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
We use the spatial/temporal model developed in Oehlert (1993) to estimate the detectability of trends in wetβdeposition sulphate. Precipitation volume adjustments of sulphate concentration dramatically improve the detectability and quantifiability of trends. Anticipated decreases in sulphate of about 30 per cent in the Eastern U.S. by 2005 predicted by models should be detectable much earlier, say, 1997, but accurate quantification of the true decrease will require several additional years of monitoring. It is possible to delete a few stations from the East without materially affecting the detectability or quantifiability of trends. Careful siting of new stations can provide substantial improvement to regional trend estimation.
π SIMILAR VOLUMES
Between 1983-94 , as acid deposition rates declined, SO4 2-concentrations decreased in 18 of 28 lakes monitored by the upper Midwest LTM program. The expected recovery of ANC and pH was less common, however. Differences in climate may account for divergent trend patterns across the region. Only in