title: Evaluation of leachate composition by multivariate data analysis (MVDA).
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.
authors.affiliation: Division of Waste Science and Technology, Luleå University of Technology, SE-971 87 Luleå, Sweden. katarina.kylefors@bd.lst.se
authors.forename: K
authors.initials: K
authors.lastname: Kylefors
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D015999:Multivariate Analysis; D012037:Refuse Disposal; D012989:Soil Pollutants / Q000032:analysis*; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D012989:Soil Pollutants; D014873:Water Pollutants