Reconsidering landfill monitoring with the aid of multivariate data analysis
(2004) Second International Conference on Waste Management and the Environment 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:
https://lup.lub.lu.se/record/614692
- author
- van Praagh, Martijn LU and Persson, Kenneth M LU
- organization
- publishing date
- 2004
- 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
- host publication
- Waste Management and the Environment II
- pages
- 449 - 458
- publisher
- WIT Press
- conference name
- Second International Conference on Waste Management and the Environment
- conference location
- Rhodes, Greece
- conference dates
- 2004-09-29 - 2004-10-01
- 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
- 2016-04-04 11:03:55
- date last changed
- 2022-01-29 21:20:05
@inproceedings{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}},
booktitle = {{Waste Management and the Environment II}},
isbn = {{1853127388}},
keywords = {{Final capping; Leachate recirculation; Electrical conductivity; Leachate analysis; Landfill monitoring; Multivariate data analysis}},
language = {{eng}},
pages = {{449--458}},
publisher = {{WIT Press}},
title = {{Reconsidering landfill monitoring with the aid of multivariate data analysis}},
year = {{2004}},
}