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Reconsidering landfill monitoring with the aid of multivariate data analysis

van Praagh, Martijn LU and Persson, Kenneth M LU (2004) Second International Conference on Waste Management and the Environment In Waste Management and the Environment II p.449-458
Abstract
Leachate constitutes the main potential long-term environmental risk of landfill emissions. The EU landfill directive 1999/3 I/EC requires minimum monitoring during the active landfill life and the after-care phase. Due to time and resource limitations, monitoring of leachate quality is a compromise between information density and applicability. Samples from passively collected leachate are suspect to mixing with groundwater and surface water. This is especially true for the widely used parameter conductivity. The objective of this work is to identify the extent of major external influences on conductivity monitoring data and its implications for future monitoring programs. A complete eight year conductivity monitoring data set from a... (More)
Leachate constitutes the main potential long-term environmental risk of landfill emissions. The EU landfill directive 1999/3 I/EC requires minimum monitoring during the active landfill life and the after-care phase. Due to time and resource limitations, monitoring of leachate quality is a compromise between information density and applicability. Samples from passively collected leachate are suspect to mixing with groundwater and surface water. This is especially true for the widely used parameter conductivity. The objective of this work is to identify the extent of major external influences on conductivity monitoring data and its implications for future monitoring programs. A complete eight year conductivity monitoring data set from a municipal solid waste landfill in Southern Sweden is analysed with the help of multivariate data analysis. With the aid of a principle component analysis (PCA) the influences of surface water, groundwater and recycled leachate on the complete measurements' variability is investigated. The impact of final capping on the variability is clearly reflected. A primary model is developed for the dependence of conductivity variability on water levels' variability with the help of a canonical correlation analysis (CCA). On the one hand, the results allow identification of surplus sampling points. On the other hand, crucial sampling points are highlighted, which are intensively subject to processes other than mixing with surface water. Consequently, these results make way for tailor-made monitoring for comparable landfill situations. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Final capping, Leachate recirculation, Electrical conductivity, Leachate analysis, Landfill monitoring, Multivariate data analysis
in
Waste Management and the Environment II
pages
449 - 458
publisher
WIT Press
conference name
Second International Conference on Waste Management and the Environment
external identifiers
  • WOS:000226547300044
  • Scopus:12344260830
ISBN
1853127388
language
English
LU publication?
yes
id
1f0187ef-e5cd-422b-83d3-ee13ea2dc4b0 (old id 614692)
date added to LUP
2007-12-03 15:41:32
date last changed
2016-10-13 04:43:44
@misc{1f0187ef-e5cd-422b-83d3-ee13ea2dc4b0,
  abstract     = {Leachate constitutes the main potential long-term environmental risk of landfill emissions. The EU landfill directive 1999/3 I/EC requires minimum monitoring during the active landfill life and the after-care phase. Due to time and resource limitations, monitoring of leachate quality is a compromise between information density and applicability. Samples from passively collected leachate are suspect to mixing with groundwater and surface water. This is especially true for the widely used parameter conductivity. The objective of this work is to identify the extent of major external influences on conductivity monitoring data and its implications for future monitoring programs. A complete eight year conductivity monitoring data set from a municipal solid waste landfill in Southern Sweden is analysed with the help of multivariate data analysis. With the aid of a principle component analysis (PCA) the influences of surface water, groundwater and recycled leachate on the complete measurements' variability is investigated. The impact of final capping on the variability is clearly reflected. A primary model is developed for the dependence of conductivity variability on water levels' variability with the help of a canonical correlation analysis (CCA). On the one hand, the results allow identification of surplus sampling points. On the other hand, crucial sampling points are highlighted, which are intensively subject to processes other than mixing with surface water. Consequently, these results make way for tailor-made monitoring for comparable landfill situations.},
  author       = {van Praagh, Martijn and Persson, Kenneth M},
  isbn         = {1853127388},
  keyword      = {Final capping,Leachate recirculation,Electrical conductivity,Leachate analysis,Landfill monitoring,Multivariate data analysis},
  language     = {eng},
  pages        = {449--458},
  publisher    = {ARRAY(0xbaaa3e0)},
  series       = {Waste Management and the Environment II},
  title        = {Reconsidering landfill monitoring with the aid of multivariate data analysis},
  year         = {2004},
}