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Spatial relations in the geochemistry of Swedish lakes
2006 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The detection of patterns in the spatial distribution of biotic and abiotic data is central in environmental monitoring programs. In this report we aimed to understand geographic aspects in data describing Swedish lake chemistry. We looked at two different aspects. First we investigated if it is possible to divide Swedish lakes into geographic regions based on their geochemical composition. This was done in four ways: 1) using Kriging interpolation, maps on the lake chemistry were produced and interpreted visually, 2) trends in the data were established using Principal Components Analysis – PCA, and examined geographically, 3) the lakes were formed into clusters based on the lake chemistry data, and these clusters were examined geographically, and 4) lake chemistry data were compared with forest ecoregions. By doing so, we showed that it is difficult to divide the lakes into geographic regions where the lake geochemistry is significantly different among regions. However, the mountain area in the north-western part of the country was identified as one region. Some gradients were also identified, mainly an east-west gradient in Norrland and a north-south gradient in the middle of Sweden. The forest ecoregions in Sweden did partly represent the geographical differences in lake chemistry represented by principal components. The lakes were also grouped in clusters based on the principal components, and these clusters showed similarities with the forest ecoregions. However some adjustment of the ecoregions borders is needed to better fit the variations in water chemistry. Second, we tried to understand the relationship between lake catchment and lake data. The GIS data describing catchment characteristics came from various sources and for some of them, we developed new methods for conversion to useful variables. Due to collinearity and missing data in the variables representing catchment characteristics, we have not been able to test what effect the lakes’ catchments have on the lake chemistry. However, the quality of the geographical data that serve as base for these variables has been examined, and is generally considered to be of sufficient quality to be used in the analysis.

Place, publisher, year, edition, pages
2006.
Keyword [en]
Technology, geokemi, geochemistry, GIS, geografiska informationssystem, geographical information systems, geografisk analys, geographic analysis, principalkomponentanalys, principal, components analysis, PCA, vattenkemi, water chemistry
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-56942ISRN: LTU-EX--06/057--SELocal ID: dab6dfc6-3b25-447e-8edf-3e8179afbf8cOAI: oai:DiVA.org:ltu-56942DiVA: diva2:1030329
Subject / course
Student thesis, at least 30 credits
Educational program
Environmental Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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Citation style
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  • Other locale
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Output format
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