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Lead, zinc, and chromium concentrations in acidic headwater streams in Sweden explained by chemical, climatic, and land-use variations

Publication: Contribution to journalJournal articlepeer-review

Abstract

Long-term data series (1996–2009) for eleven acidic headwater streams ( < 10 km 2 ) in Sweden were ana- lyzed to determine factors controlling concentrations of trace metals. In-stream chemical data as well climatic, flow, and deposition chemistry data were used to develop models pre- dicting concentrations of chromium (Cr), lead (Pb), and zinc (Zn). Data were initially analyzed using partial least squares to determine a set of variables that could predict metal con- centrations across all sites. Organic matter (as absorbance) and iron related positively to Pb and Cr, while pH related negatively to Pb and Zn. Other variables such as conduc- tivity, manganese, and temperature were important as well. Multiple linear regression was then used to determine mini- mally adequate prediction models which explained an aver- age of 35 % (Cr), 52 % (Zn), and 72 % (Pb) of metal variation across all sites. While models explained at least 50 % of vari- ation in the majority of sites for Pb (10) and Zn (8), only three sites met this criterion for Cr. Investigation of varia- tion between site models for each metal revealed geographi- cal (altitude), chemical (sulfate), and land-use (silvaculture) influences on predictive power of the models. Residual anal- ysis revealed seasonal differences in the ability of the mod- els to predict metal concentrations as well. Expected future changes in model variables were applied and results showed the potential for long-term increases (Pb) or decreases (Zn) for trace metal concentrations at these sites.
Original languageEnglish
Pages (from-to)4323-4335
Number of pages13
JournalBiogeosciences
Volume9
Issue number11
DOIs
Publication statusPublished - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Metals
  • organic carbon
  • modeling
  • lead
  • zinc
  • chromium

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