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Citation
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HERO ID
5016938
Reference Type
Journal Article
Title
Contaminant patterns in soils from landfill mining
Author(s)
Hölzle, I
Year
2019
Is Peer Reviewed?
1
Journal
Waste Management
ISSN:
0956-053X
EISSN:
1879-2456
Publisher
Elsevier Ltd
Volume
83
Page Numbers
151-160
Language
English
PMID
30514462
DOI
10.1016/j.wasman.2018.11.013
Web of Science Id
WOS:000454371400017
URL
https://linkinghub.elsevier.com/retrieve/pii/S0956053X18306767
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Abstract
Landfill mining is used to close the material loops by recovering recyclables from landfills. Previous research has focused on material composition reporting that, worldwide, landfills mainly consist of soil-like materials ("soils") and combustibles. Although soils have been investigated in a few studies, the results are limited to the presentation of substance concentrations without further analysing the substance patterns (e.g. correlation between substances). This research identifies similarities in substance concentrations within and between landfills, analysing approximately 300 soil samples from eight excavated landfills. Statistical tests enabled the determination of substance variations and correlations. Substance concentration correlations were found between several heavy metals (in particular zinc), sulphate and electrical conductivity, as well as ammonium nitrogen and biodegradability. With regard to contamination prediction, sulphate, pH and total organic carbon proved to be the most efficient indicator elements. Legal limit values have proven to be efficient to manage substance flows in terms of chloride, sulphate, cadmium, lead and zinc, but were ineffective with respect to biodegradability, PCB, benzo[a]pyrene and cyanides.
Keywords
Contamination prediction; Correlation; Indicator element; Landfill mining; Limit value; Substance flow analysis
Tags
IRIS
•
PCBs
Not prioritized for screening
Litsearches
Litsearch: Aug 2018 - Aug 2019
PubMed
Not prioritized for screening
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