Sammanfattning
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.
| Originalspråk | Engelska |
|---|---|
| Sidor (från-till) | 4323-4335 |
| Antal sidor | 13 |
| Tidskrift | Biogeosciences |
| Volym | 9 |
| Nummer | 11 |
| DOI | |
| Status | Publicerad - 2012 |
FN:s SDG:er
Detta resultat bidrar till följande hållbara utvecklingsmål:
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SDG 6 – Rent vatten och sanitet för alla
Nyckelord
- Metals
- organic carbon
- modeling
- lead
- zinc
- chromium
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