Evaluation of leachate composition by multivariate data analysis (MVDA) |
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Authors: | Kylefors K |
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Affiliation: | Division of Waste Science and Technology, Lule? University of Technology, SE-971 87 Lule?, Sweden. katarina.kylefors@bd.lst.se |
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Abstract: | Landfills generate emissions in the form of gas and leachate. The emissions are often measured within monitoring programmes. It is likely that the requirements of such monitoring programmes can be extended in the future, particularly in light of the increased interest in specific organic substances. Multivariate data analyses (MVDA) have been used to evaluate the possibility of predicting the content of specific organic substances from more common analyses. The results indicate that this is possible for a specific leachate. MVDA can also be used to reduce the number of analyses performed within existing monitoring programmes while retaining information about all the variables formerly included in the programmes. |
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Keywords: | Case study Landfill leachate Monitoring programme Prediction Statistics Specific organic substances |
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