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Sökning: WFRF:(Pontér Simon) > (2020) > Groundwater environ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004153naa a2200469 4500
001oai:DiVA.org:ltu-81976
003SwePub
008201214s2020 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-819762 URI
024a https://doi.org/10.1080/15275922.2020.18505712 DOI
040 a (SwePub)ltu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Sutliff-Johansson, Stacyu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)stasut
2451 0a Groundwater environmental forensic investigation combining multivariate statistical techniques and screening analyses
264 c 2020
264 1b Taylor & Francis,c 2020
338 a print2 rdacarrier
520 a Heavy metal contamination was identified in groundwater monitoring wells surrounding a waste deposit facility at the Rönnskär Cu–Pb–Zn smelter in Skellefteå, northern Sweden. The main objective of this study is to identify the sources of contamination, utilizing element screening analyses and multivariate statistical techniques. A second objective is to determine the usefulness of these techniques in Environmental Forensics investigations of contaminated groundwater at a complex industrial site. Water samples were collected from four groundwater monitoring wells and six waste deposit cells surrounding the contaminated area. Seventy-two elements are statistically examined and the dataset is reduced to the variables representative of the contaminated source material from the smelting process. A three-component model is identified and explains 88% of the total variation in the dataset. Component 1 includes concentrations of Cd, Co, Ni, Rb, Re, and Zn. This component displays a high correlation with two of the deposit cells and their associated groundwater monitoring wells. Component 2 is comprised of Sb, Cu, and Mo. This component displays a correlation between all monitoring wells and deposits likely due to the high mobility of these elements as oxyanions. Component 3 is dominated by As and displays high correlation to three older deposit cells representing a completely different source than for Components 1 and 2. The application of screening analyses and multivariate statistics in this study has achieved a meaningful identification of sources of contamination in the investigated area. It was also shown to be useful as an initial survey aiming to optimize a full-scale monitoring program at the site.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Geokemi0 (SwePub)105062 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Geochemistry0 (SwePub)105062 hsv//eng
653 a Rönnskär
653 a multivariate statistical techniques
653 a principle component analysis
653 a multi-elemental screening
653 a groundwater contamination
653 a heavy metals
653 a Tillämpad geokemi
653 a Applied Geochemistry
700a Pontér, Simonu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)simpon
700a Mäki, A.u Vatten & Miljökonsulterna i Norr AB, Luleå, Sweden4 aut
700a Engström, Emmau Luleå tekniska universitet,Geovetenskap och miljöteknik,ALS Scandinavia AB, Luleå, Sweden4 aut0 (Swepub:ltu)emmeng
700a Rodushkin, Iliau Luleå tekniska universitet,Geovetenskap och miljöteknik,ALS Scandinavia AB, Luleå, Sweden4 aut0 (Swepub:ltu)ilirod
700a Peltola, P.u Boliden Rönnskär, Skelleftehamn, Sweden4 aut
700a Widerlund, Andersu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)anwi
710a Luleå tekniska universitetb Geovetenskap och miljöteknik4 org
773t Environmental Forensicsd : Taylor & Francisx 1527-5922x 1527-5930
856u https://www.tandfonline.com/doi/pdf/10.1080/15275922.2020.1850571?needAccess=true
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81976
8564 8u https://doi.org/10.1080/15275922.2020.1850571

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