Sökning: onr:"swepub:oai:DiVA.org:ltu-81976" > Groundwater environ...
Fältnamn | Indikatorer | Metadata |
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000 | 04153naa a2200469 4500 | |
001 | oai:DiVA.org:ltu-81976 | |
003 | SwePub | |
008 | 201214s2020 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-819762 URI |
024 | 7 | a https://doi.org/10.1080/15275922.2020.18505712 DOI |
040 | a (SwePub)ltu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Sutliff-Johansson, Stacyu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)stasut |
245 | 1 0 | a Groundwater environmental forensic investigation combining multivariate statistical techniques and screening analyses |
264 | c 2020 | |
264 | 1 | b 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 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskapx Geokemi0 (SwePub)105062 hsv//swe |
650 | 7 | a 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 | |
700 | 1 | a Pontér, Simonu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)simpon |
700 | 1 | a Mäki, A.u Vatten & Miljökonsulterna i Norr AB, Luleå, Sweden4 aut |
700 | 1 | a Engström, Emmau Luleå tekniska universitet,Geovetenskap och miljöteknik,ALS Scandinavia AB, Luleå, Sweden4 aut0 (Swepub:ltu)emmeng |
700 | 1 | a Rodushkin, Iliau Luleå tekniska universitet,Geovetenskap och miljöteknik,ALS Scandinavia AB, Luleå, Sweden4 aut0 (Swepub:ltu)ilirod |
700 | 1 | a Peltola, P.u Boliden Rönnskär, Skelleftehamn, Sweden4 aut |
700 | 1 | a Widerlund, Andersu Luleå tekniska universitet,Geovetenskap och miljöteknik4 aut0 (Swepub:ltu)anwi |
710 | 2 | a Luleå tekniska universitetb Geovetenskap och miljöteknik4 org |
773 | 0 | t Environmental Forensicsd : Taylor & Francisx 1527-5922x 1527-5930 |
856 | 4 | u https://www.tandfonline.com/doi/pdf/10.1080/15275922.2020.1850571?needAccess=true |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81976 |
856 | 4 8 | u https://doi.org/10.1080/15275922.2020.1850571 |
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