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Long-term trends in NADP/NTN precipitation chemistry data: Results of different statistical analyses
Authors:D. Holland  C. Simmons  L. Smith  T. Cohn  G. Baier  J. Lynch  J. Grimm  G. Oehlert  S. Lindberg
Affiliation:1. U. S. Environmental Protection Agency, RTP, 27711, NC, USA
2. Colorado State University, 80523, Fort Collins, CO, USA
3. ManTech Environmental Technology, Inc., RTP, 27709, NC, USA
4. U. S. Geological Survey, 22092, Reston, VA, USA
5. Penn State University, 16802, University Park, PA, USA
6. University of Minnesota, 55108, St. Paul, MN, USA
7. Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA
Abstract:This paper summarizes the results of four statistical approaches for the estimation of long-term trends (1983–92) in sulfate concentration data from 90 monitoring sites across the United States. Least squares regression models and nonparametric techniques were applied to these data. Sulfate concentrations were found to be generally decreasing on the order of 0–4% at most sites. There was general agreement that trends were significant in the Great Lakes, Pacific northwest, and southwest regions. Although strengths and weaknesses are described for each approach, all of these approaches are useful for long-term trend estimation. Visualization techniques are recommended for displaying trend patterns and associated levels of statistical significance.
Keywords:Long-term trends  sulfate  statistical models
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