Multivariate statistical and GIS-based approach to evaluate heavy metals behavior in mine sites for future reclamation

Journal of Geochemical Exploration

Volumn 109, Issue 1-3, 2011, Pages 8-17

  Acosta, J A ^a,b   Faz, A ^b   Martinez Martinez S ^b   Zornoza, R ^b   Carmona, D M ^b   Kabas, S ^b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

Author keywords

GIS; Heavy metal; Multivariate analysis; Reclamation; Soil pollution; Tailing pond

Indexed keywords

DEEP LAYER; ELECTRICAL CONDUCTIVITY; ENVIRONMENTAL RISKS; GIS; HIGH CONCENTRATION; METAL MOBILITY; MINE SITE; MULTIVARIATE ANALYSIS; ORGANIC LIGANDS; ORGANIC MATTER; OXIDATION PROCESS; PB CONCENTRATION; RUNOFF WATER; SOIL CONTAMINATION; SOLUBLE SALTS; SORPTION SITES; STATISTICAL ANALYSIS; SURFACE SAMPLE; TAILING POND; TAILING PONDS;

ADSORPTION; ALKALINITY; BIOGEOCHEMISTRY; BIOLOGICAL MATERIALS; CADMIUM; ELECTRIC CONDUCTIVITY; GROUNDWATER; GROUNDWATER POLLUTION; LAKES; LEACHING; METALS; MULTIVARIANT ANALYSIS; ORGANIC COMPOUNDS; PH EFFECTS; RIVER POLLUTION; SOILS; WASTEWATER RECLAMATION; WATER CONTENT; ZINC;

SOIL POLLUTION;

ABANDONED MINE; CLAY; CONCENTRATION (COMPOSITION); ELECTRICAL CONDUCTIVITY; GIS; HEAVY METAL; IMMOBILIZATION; LAND RECLAMATION; MULTIVARIATE ANALYSIS; OXIDATION; SOIL POLLUTION; TAILINGS;

EID: 79955470792     PISSN: 03756742     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gexplo.2011.01.004     Document Type: Article

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