Long-term trends in NADP/NTN precipitation chemistry data: Results of different statistical analyses

D. Holland, C. Simmons, L. Smith, T. Cohn, G. Baier, J. Lynch, J. Grimm, G. Oehlert, S. Lindberg

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)595-601
Number of pages7
JournalWater, Air, & Soil Pollution
Volume85
Issue number2
DOIs
StatePublished - Dec 1995
Externally publishedYes

Keywords

  • Long-term trends
  • statistical models
  • sulfate

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