Mineralogical, geospatial, and statistical methods combined to estimate geochemical background of arsenic in soils for an area impacted by legacy mining pollution.
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| Title: | Mineralogical, geospatial, and statistical methods combined to estimate geochemical background of arsenic in soils for an area impacted by legacy mining pollution. |
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| Authors: | Palmer MJ; North Slave Research Centre, Aurora Research Institute, Aurora College, Yellowknife X1A 2R3, Canada; Department of Geography and Environmental Studies, Carleton University, Ottawa K1S 5B6, Canada. Electronic address: mpalmer@auroracollege.nt.ca., Jamieson HE; Department of Geological Sciences and Geological Engineering, Queen's University, Kingston K7L 3N6, Canada., Borčinová Radková A; Department of Geological Sciences and Geological Engineering, Queen's University, Kingston K7L 3N6, Canada., Maitland K; Department of Geological Sciences and Geological Engineering, Queen's University, Kingston K7L 3N6, Canada., Oliver J; Department of Geological Sciences and Geological Engineering, Queen's University, Kingston K7L 3N6, Canada., Falck H; Northwest Territories Geological Survey, Government of the Northwest Territories, Yellowknife, NT X1A 2L9, Canada., Richardson M; Department of Geography and Environmental Studies, Carleton University, Ottawa K1S 5B6, Canada. |
| Source: | The Science of the total environment [Sci Total Environ] 2021 Jul 01; Vol. 776, pp. 145926. Date of Electronic Publication: 2021 Feb 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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