An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing

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dc.contributor.advisorVon Blottnitz, Harroen_ZA
dc.contributor.authorMaluleke, Wisani Jen_ZA
dc.date.accessioned2014-07-31T11:07:31Z
dc.date.available2014-07-31T11:07:31Z
dc.date.issued2006en_ZA
dc.descriptionWord processed copy.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThe greatest environmental liability in the mineal processing industry is the prolonged environmental degredation of groundwater and land, resulting from Acid Mine Drainage (AMD) formation from mine wastes due to oxidation of sulphide minerals. AMD enhances the mobilisation of trace and minor metals contained in wastes, therby generating contaminated leachate, which may pollute the ground and surface water. It is imperative to minimise post-closure environmental impacts and liability associated with the long-term generation and dispersion of contaminated leachate from solid mien deposits. Therefore, prediction of the environmental aspects associated with soild mineral waste is essential to their effective management during all phases of a project life cycle including post-closure.en_ZA
dc.identifier.apacitationMaluleke, W. J. (2006). <i>An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/5292en_ZA
dc.identifier.chicagocitationMaluleke, Wisani J. <i>"An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2006. http://hdl.handle.net/11427/5292en_ZA
dc.identifier.citationMaluleke, W. 2006. An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Maluleke, Wisani J AB - The greatest environmental liability in the mineal processing industry is the prolonged environmental degredation of groundwater and land, resulting from Acid Mine Drainage (AMD) formation from mine wastes due to oxidation of sulphide minerals. AMD enhances the mobilisation of trace and minor metals contained in wastes, therby generating contaminated leachate, which may pollute the ground and surface water. It is imperative to minimise post-closure environmental impacts and liability associated with the long-term generation and dispersion of contaminated leachate from solid mien deposits. Therefore, prediction of the environmental aspects associated with soild mineral waste is essential to their effective management during all phases of a project life cycle including post-closure. DA - 2006 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing TI - An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing UR - http://hdl.handle.net/11427/5292 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5292
dc.identifier.vancouvercitationMaluleke WJ. An experimental investigation of leachate generation predictions of waste from copper sulphide ore processing. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2006 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5292en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Chemical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherChemical Engineeringen_ZA
dc.titleAn experimental investigation of leachate generation predictions of waste from copper sulphide ore processingen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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