Assessment of water quality in the vicinity of peat extraction sites: The case of Pien-Saimaa, Finland

Eija Sääksjärvi; Satu Pia Reinikainen; Marjatta Louhi-Kultanen

doi:10.1111/wej.12168

Assessment of water quality in the vicinity of peat extraction sites: The case of Pien-Saimaa, Finland

Eija Sääksjärvi^*, Satu Pia Reinikainen, Marjatta Louhi-Kultanen

^*Corresponding author for this work

Not published at Aalto University

Research output: Contribution to journal › Article › Scientific › peer-review

1 Citation (Scopus)

Abstract

Peatlands have an important global role as carbon sinks. Locally, however, peat bog extraction can cause pollution in nearby watercourses. The aim of this study is to investigate the application of multivariate methods in the renovation and protection of eutrophic lakes surrounded by agricultural and peat extraction areas. The analytical data used in the study originated from a national water quality database and the period studied was 2000–2013. Multivariate methods: Principal Component Analysis (PCA) and Parallel Factor Analysis (PARAFAC) were applied to solve interactions of variables and pollution sources in a complex water ecosystem. Leaching from the peat bog area was found to be the main source of iron, which has an important role as a precipitator of phosphorus in loose sediment and in water. Nutrient ratios had no direct correlation to algae blooms, but high ratios indicated an increased likelihood of an upcoming bloom.

Original language	English
Pages (from-to)	157-166
Number of pages	10
Journal	WATER AND ENVIRONMENT JOURNAL
Volume	30
Issue number	1-2
DOIs	https://doi.org/10.1111/wej.12168
Publication status	Published - 1 Mar 2016
MoE publication type	A1 Journal article-refereed

Keywords

Lake Saimaa
national database
PCA, PARAFAC
peat bog
water quality

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10.1111/wej.12168

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abstract = "Peatlands have an important global role as carbon sinks. Locally, however, peat bog extraction can cause pollution in nearby watercourses. The aim of this study is to investigate the application of multivariate methods in the renovation and protection of eutrophic lakes surrounded by agricultural and peat extraction areas. The analytical data used in the study originated from a national water quality database and the period studied was 2000–2013. Multivariate methods: Principal Component Analysis (PCA) and Parallel Factor Analysis (PARAFAC) were applied to solve interactions of variables and pollution sources in a complex water ecosystem. Leaching from the peat bog area was found to be the main source of iron, which has an important role as a precipitator of phosphorus in loose sediment and in water. Nutrient ratios had no direct correlation to algae blooms, but high ratios indicated an increased likelihood of an upcoming bloom.",

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