Evaluation of leachate composition by multivariate data analysis (MVDA)

被引:21
作者
Kylefors, K [1 ]
机构
[1] Lulea Univ Technol, Div Waste Sci & Technol, SE-97187 Lulea, Sweden
关键词
case study; landfill leachate; monitoring programme; prediction; statistics; specific organic substances;
D O I
10.1016/S0301-4797(03)00103-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:367 / 376
页数:10
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