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Mineralogical, geospatial, and statistical methods combined to estimate geochemical background of arsenic in soils for an area impacted by legacy mining pollution.
Palmer, Michael J; Jamieson, Heather E; Borcinová Radková, Anezka; Maitland, Kirsten; Oliver, Jon; Falck, Hendrik; Richardson, Murray.
Afiliación
  • 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.
  • Borcinová 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.
Sci Total Environ ; 776: 145926, 2021 Jul 01.
Article en En | MEDLINE | ID: mdl-33652309
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article